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2. Mitigating the effects of COVID-19 on HIV treatment and care in Lusaka, Zambia: A before-after cohort study using mixed effects regression
- Author
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Mukumbwa-Mwenechanya M., Vlahakis N., Sikazwe I., Bolton Moore C., Iyer S., Pry J.M., Mwamba D., Mweebo K., Mwale C., Kerkhoff A.D., Mwila A., Savory T., Sikombe K., Geng E.H., Herce M.E., Wa Mwanza M., Mody A., and Mutale J.
- Abstract
Introduction The Zambian Ministry of Health (MoH) issued COVID-19 mitigation guidance for HIV care immediately after the first COVID-19 case was confirmed in Zambia on 18 March 2020. The Centre for Infectious Disease Research in Zambia implemented MoH guidance by: 1) extending antiretroviral therapy (ART) refill duration to 6 multi-month dispensation (6MMD) and 2) task-shifting communication and mobilisation of those in HIV care to collect their next ART refill early. We assessed the impact of COVID-19 mitigation guidance on HIV care 3 months before and after guidance implementation. Methods We reviewed all ART pharmacy visit data in the national HIV medical record for PLHIV in care having ≥1 visit between 1 January - 30 June 2020 at 59 HIV care facilities in Lusaka Province, Zambia. We undertook a before-after evaluation using mixed-effects Poisson regression to examine predictors and marginal probability of early clinic return (pharmacy visit >7 days before next appointment), proportion of late visit (>7 days late for next appointment) and probability of receiving a 6MMD ART refill. Results A total of 101 371 individuals (64% female, median age 39) with 130 486 pharmacy visits were included in the analysis. We observed a significant increase in the adjusted prevalence ratio (4.63; 95% CI 4.45 to 4.82) of early return before compared with after guidance implementation. Receipt of 6MMD increased from a weekly mean of 47.9% (95% CI 46.6% to 49.2%) before to 73.4% (95% CI 72.0% to 74.9%) after guidance implementation. The proportion of late visits (8-89 days late) was significantly higher before (18.8%, 95% CI17.2%to20.2%) compared with after (15.1%, 95% CI13.8%to16.4%) guidance implementation. Conclusions Timely issuance and implementation of COVID-19 mitigation guidance involving task-shifted patient communication and mobilisation alongside 6MMD significantly increased early return to ART clinic, potentially reducing interruptions in HIV care during a global public health emergency.
- Published
- 2022
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3. Abstracts of the Eighth EDCTP Forum, 6-9 November 2016.
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Makanga, M, Beattie, P, Breugelmans, G, Nyirenda, T, Bockarie, M, Tanner, M, Volmink, J, Hankins, C, Walzl, G, Chegou, N, Malherbe, S, Hatherill, M, Scriba, TJ, Zak, DE, Barry, CE, Kaufmann, SHE, Noor, A, Strub-Wourgaft, N, Phillips, P, Munguambe, K, Ravinetto, R, Tinto, H, Diro, E, Mahendrahata, Y, Okebe, J, Rijal, S, Garcia, C, Sundar, S, Ndayisaba, G, Sopheak, T, Ngoduc, T, Van Loen, H, Jacobs, J, D'Alessandro, U, Boelaert, M, Buvé, A, Kamalo, P, Manda-Taylor, L, Rennie, S, Mokgatla, B, Bahati, Ijsselmuiden, C, Afolabi, M, Mcgrath, N, Kampmann, B, Imoukhuede, E, Alexander, N, Larson, H, Chandramohan, D, Bojang, K, Kasaro, MP, Muluka, B, Kaunda, K, Morse, J, Westfall, A, Kapata, N, Kruuner, A, Henostroza, G, Reid, S, Alabi, A, Foguim, F, Sankarganesh, J, Bruske, E, Mfoumbi, A, Mevyann, C, Adegnika, A, Lell, B, Kranzer, K, Kremsner, P, Grobusch, M, Sabiiti, W, Ntinginya, N, Kuchaka, D, Azam, K, Kampira, E, Mtafya, B, Bowness, R, Bhatt, N, Davies, G, Kibiki, G, Gillespie, S, Lejon, V, Ilboudo, H, Mumba, D, Camara, M, Kaba, D, Lumbala, C, Fèvre, E, Jamonneau, V, Bucheton, B, Büscher, P, Chisenga, C, Sinkala, E, Chilengi, R, Chitundu, H, Zyambo, Z, Wandeler, G, Vinikoor, M, Emilie, D, Camara, O, Mathurin, K, Guiguigbaza-Kossigan, D, Philippe, B, Regassa, F, Hassane, S, Bienvenu, SM, Fabrice, C, Ouédraogo, E, Kouakou, L, Owusu, M, Mensah, E, Enimil, A, Mutocheluh, M, Ndongo, FA, Tejiokem, MC, Texier, G, Penda, C, Ndiang, S, Ndongo, J-A, Guemkam, G, Sofeu, CL, Afumbom, K, Faye, A, Msellati, P, Warszawski, J, Vos, A, Devillé, W, Barth, R, Klipstein-Grobusch, K, Tempelman, H, Venter, F, Coutinho, R, Grobbee, D, Ssemwanga, D, Lyagoba, F, Magambo, B, Kapaata, A, Kirangwa, J, Nannyonjo, M, Nassolo, F, Nsubuga, R, Yebra, G, Brown, A, Kaleebu, P, Nylén, H, Habtewold, A, Makonnen, E, Yimer, G, Burhenne, J, Diczfalusy, U, Aklillu, E, Steele, D, Walker, R, Simuyandi, M, Beres, L, Bosomprah, S, Ansumana, R, Taitt, C, Lamin, JM, Jacobsen, KH, Mulvaney, SP, Leski, T, Bangura, U, Stenger, D, De Vries, S, Zinsou, FJ, Honkpehedji, J, Dejon, JC, Loembe, MM, Bache, B, Pakker, N, Van Leeuwen, R, Hounkpatin, AB, Yazdanbakhsh, M, Bethony, J, Hotez, P, Diemert, D, Bache, BE, Fernandes, JF, Obiang, RM, Kabwende, AL, Grobusch, MP, Krishna, S, Kremsner, PG, Todagbe, AS, Nambozi, M, Kabuya, J-B, Hachizovu, S, Mwakazanga, D, Kasongo, W, Buyze, J, Mulenga, M, Geertruyden, J-P, Gitaka, J, Chan, C, Kongere, J, Kagaya, W, Kaneko, A, Kabore, N, Barry, N, Kabre, Z, Werme, K, Fofana, A, Compaore, D, Nikiema, F, Some, F, Djimde, A, Zongo, I, Ouedraogo, B, Kone, A, Sagara, I, Björkman, A, Gil, JP, Nchinda, G, Bopda, A, Nji, N, Ambada, G, Ngu, L, Tchadji, J, Sake, C, Magagoum, S, Njambe, GD, Lisom, A, Park, CG, Tait, D, Sibusiso, H, Manda, O, Croucher, K, Van Der Westhuizen, A, Mshanga, I, Levin, J, Nanvubya, A, Kibengo, F, Jaoko, W, Pala, P, Perreau, M, Namuniina, A, Kitandwe, P, Tapia, G, Serwanga, J, Yates, N, Fast, P, Mayer, B, Montefiori, D, Tomaras, G, Robb, M, Lee, C, Wagner, R, Sanders, E, Kilembe, W, Kiwanuka, N, Gilmour, J, Kuipers, H, Vooij, D, Chinyenze, K, Priddy, F, Ding, S, Hanke, T, Pantaleo, G, Ngasala, B, Jovel, I, Malmberg, M, Mmbando, B, Premji, Z, Mårtensson, A, Mwaiswelo, R, Agbor, L, Apinjoh, T, Mwanza, S, Chileshe, J, Joshi, S, Malunga, P, Manyando, C, Laufer, M, Dara, A, Niangaly, A, Sinha, I, Brodin, D, Fofana, B, Dama, S, Dembele, D, Sidibe, B, Diallo, N, Thera, M, Wright, K, Gil, J, Doumbo, O, Baraka, V, Nabasumba, C, Francis, F, Lutumba, P, Mavoko, H, Alifrangis, M, Van Geertruyden, J-P, Sissoko, S, Sangaré, C, Toure, S, Sanogo, K, Diakite, H, Doumbia, D, Haidara, K, Julé, A, Ashurst, H, Merson, L, Olliaro, P, Marsh, V, Lang, T, Guérin, P, Awuondo, K, Njenga, D, Nyakarungu, E, Titus, P, Sutamihardja, A, Lowe, B, Ogutu, B, Billingsley, P, Soulama, I, Kaboré, M, Coulibaly, A, Ouattara, M, Sanon, S, Diarra, A, Bougouma, E, Ouedraogo, A, Sombie, B, Kargougou, D, Ouattara, D, Issa, N, Tiono, A, Sirima, S, Chaponda, M, Dabira, E, Dao, F, Dara, N, Coulibaly, M, Tolo, A, Maiga, H, Ouologuem, N, Niangaly, H, Botchway, F, Wilson, N, Dickinson-Copeland, CM, Adjei, AA, Wilson, M, Stiles, JK, Hamid, MA, Awad-Elgeid, M, Nasr, A, Netongo, P, Kamdem, S, Velavan, T, Lasry, E, Diarra, M, Bamadio, A, Traore, A, Coumare, S, Soma, B, Dicko, Y, Sangare, B, Tembely, A, Traore, D, Haidara, A, Dicko, A, Diawara, E, Beavogui, A, Camara, D, Sylla, M, Yattara, M, Sow, A, Camara, GC, Diallo, S, Mombo-Ngoma, G, Remppis, J, Sievers, M, Manego, RZ, Endamne, L, Hutchinson, D, Held, J, Supan, C, Salazar, CLO, Bonkian, LN, Nahum, A, Sié, A, Abdulla, S, Cantalloube, C, Djeriou, E, Bouyou-Akotet, M, Mordmüller, B, Siribie, M, Sirima, SB, Ouattara, SM, Coulibaly, S, Kabore, JM, Amidou, D, Tekete, M, Traore, O, Haefeli, W, Borrmann, S, Kaboré, N, Kabré, Z, Nikèma, F, Compaoré, D, Somé, F, Djimdé, A, Ouédraogo, J, Chalwe, V, Miller, J, Diakité, H, Greco, B, Spangenberg, T, Kourany-Lefoll, E, Oeuvray, C, Mulry, J, Tyagarajan, K, Magsaam, B, Barnes, K, Hodel, EM, Humphreys, G, Pace, C, Banda, CG, Denti, P, Allen, E, Lalloo, D, Mwapasa, V, Terlouw, A, Mwesigwa, J, Achan, J, Jawara, M, Ditanna, G, Worwui, A, Affara, M, Koukouikila-Koussounda, F, Kombo, M, Vouvoungui, C, Ntoumi, F, Etoka-Beka, MK, Deibert, J, Poulain, P, Kobawila, S, Gueye, NG, Seda, B, Kwambai, T, Jangu, P, Samuels, A, Kuile, FT, Kariuki, S, Barry, A, Bousema, T, Okech, B, Egwang, T, Corran, P, Riley, E, Ezennia, I, Ekwunife, O, Muleba, M, Stevenson, J, Mbata, K, Coetzee, M, Norris, D, Moneke-Anyanwoke, N, Momodou, J, Clarke, E, Scott, S, Tijani, A, Djimde, M, Vaillant, M, Samouda, H, Mensah, V, Roetynck, S, Kanteh, E, Bowyer, G, Ndaw, A, Oko, F, Bliss, C, Jagne, YJ, Cortese, R, Nicosia, A, Roberts, R, D'Alessio, F, Leroy, O, Faye, B, Cisse, B, Gerry, S, Viebig, N, Lawrie, A, Ewer, K, Hill, A, Nebie, I, Tiono, AB, Sanou, G, Konate, AT, Yaro, BJ, Sodiomon, S, Honkpehedji, Y, Agobe, JCD, Zinsou, F, Mengue, J, Richie, T, Hoffman, S, Nouatin, O, Ngoa, UA, Edoa, JR, Homoet, A, Engelhon, JE, Massinga-Louembe, M, Esen, M, Theisen, M, Sim, KL, Luty, AJ, Moutairou, K, Dinko, B, King, E, Targett, G, Sutherland, C, Likhovole, C, Ouma, C, Vulule, J, Musau, S, Khayumbi, J, Okumu, A, Murithi, W, Otu, J, Gehre, F, Zingue, D, Kudzawu, S, Forson, A, Mane, M, Rabna, P, Diarra, B, Kayede, S, Adebiyi, E, Kehinde, A, Onyejepu, N, Onubogu, C, Idigbe, E, Ba, A, Diallo, A, Mboup, S, Disse, K, Kadanga, G, Dagnra, Y, Baldeh, I, Corrah, T, De Jong, B, Antonio, M, Musanabaganwa, C, Musabyimana, JP, Karita, E, Diop, B, Nambajimana, A, Dushimiyimana, V, Karame, P, Russell, J, Ndoli, J, Hategekimana, T, Sendegeya, A, Condo, J, Binagwaho, A, Okonko, I, Okerentugba, P, Opaleye, O, Awujo, E, Frank-Peterside, N, Moyo, S, Kotokwe, K, Mohammed, T, Boleo, C, Mupfumi, L, Chishala, S, Gaseitsiwe, S, Tsalaile, L, Bussmann, H, Makhema, J, Baum, M, Marlink, R, Engelbretch, S, Essex, M, Novitsky, V, Saka, E, Kalipalire, Z, Bhairavabhotla, R, Midiani, D, Sherman, J, Mgode, G, Cox, C, Bwana, D, Mtui, L, Magesa, D, Kahwa, A, Mfinanga, G, Mulder, C, Borain, N, Petersen, L, Du Plessis, J, Theron, G, Holm-Hansen, C, Tekwu, EM, Sidze, LK, Assam, JPA, Eyangoh, S, Niemann, S, Beng, VP, Frank, M, Atiadeve, S, Hilmann, D, Awoniyi, D, Baumann, R, Kriel, B, Jacobs, R, Kidd, M, Loxton, A, Kaempfer, S, Singh, M, Mwanza, W, Milimo, D, Moyo, M, Kasese, N, Cheeba-Lengwe, M, Munkondya, S, Ayles, H, De Haas, P, Muyoyeta, M, Namuganga, AR, Kizza, HM, Mendy, A, Tientcheu, L, Ayorinde, A, Coker, E, Egere, U, Coussens, A, Naude, C, Chaplin, G, Noursadeghi, M, Martineau, A, Jablonski, N, Wilkinson, R, Ouedraogo, HG, Matteelli, A, Regazzi, M, Tarnagda, G, Villani, P, Sulis, G, Diagbouga, S, Roggi, A, Giorgetti, F, Kouanda, S, Bidias, A, Ndjonka, D, Olemba, C, Souleymanou, A, Mukonzo, J, Kuteesa, R, Ogwal-Okeng, J, Gustafsson, LL, Owen, J, Bassi, P, Gashau, W, Olaf, K, Dodoo, A, Okonkwo, P, Kanki, P, Maruapula, D, Seraise, B, Einkauf, K, Reilly, A, Rowley, C, Musonda, R, Framhein, A, Mpagama, S, Semvua, H, Maboko, L, Hoelscher, M, Heinrich, N, Mulenga, L, Kaayunga, C, Davies, M-A, Egger, M, Musukuma, K, Dambe, R, Usadi, B, Ngari, M, Thitiri, J, Mwalekwa, L, Fegan, G, Berkley, J, Nsagha, D, Munamunungu, V, Bolton, C, Siyunda, A, Shilimi, J, Bucciardini, R, Fragola, V, Abegaz, T, Lucattini, S, Halifom, A, Tadesse, E, Berhe, M, Pugliese, K, De Castro, P, Terlizzi, R, Fucili, L, Di Gregorio, M, Mirra, M, Zegeye, T, Binelli, A, Vella, S, Abraham, L, Godefay, H, Rakotoarivelo, R, Raberahona, M, Randriamampionona, N, Andriamihaja, R, Rasamoelina, T, Cornet, M, De Dieu Randria, MJ, Benet, T, Vanhems, P, Andrianarivelo, MR, Chirwa, U, Michelo, C, Hamoonga, R, Wandiga, S, Oduor, P, Agaya, J, Sharma, A, Cavanaugh, S, Cain, K, Mukisa, J, Mupere, E, Worodria, W, Ngom, JT, Koro, F, Godwe, C, Adande, C, Ateugieu, R, Onana, T, Ngono, A, Kamdem, Y, Ngo-Niobe, S, Etoa, F-X, Kanengoni, M, Ruzario, S, Ndebele, P, Shana, M, Tarumbiswa, F, Musesengwa, R, Gutsire, R, Fisher, K, Thyagarajan, B, Akanbi, O, Binuyo, M, Ssengooba, W, Respeito, D, Mambuque, E, Blanco, S, Mandomando, I, Cobelens, F, Garcia-Basteiro, A, Tamene, A, Topp, S, Mwamba, C, Padian, N, Sikazwe, I, Geng, E, Holmes, C, Sikombe, K, Hantuba, Czaicki, N, Simbeza, S, Somwe, P, Umulisa, M, Ilo, J, Kestelyn, E, Uwineza, M, Agaba, S, Delvaux, T, Wijgert, J, Gethi, D, Odeny, L, Tamandjou, C, Kaindjee-Tjituka, F, Brandt, L, Cotton, M, Nel, E, Preiser, W, Andersson, M, Adepoju, A, Magana, M, Etsetowaghan, A, Chilikwazi, M, Sutcliffe, C, Thuma, P, Sinywimaanzi, K, Matakala, H, Munachoonga, P, Moss, W, Masenza, IS, Geisenberger, O, Agrea, P, Rwegoshora, F, Mahiga, H, Olomi, W, Kroidl, A, Kayode, G, Amoakoh-Coleman, M, Ansah, E, Uthman, O, Fokam, J, Santoro, M-M, Musolo, C, Chimbiri, I, Chikwenga, G, Deula, R, Massari, R, Lungu, A, Perno, C-F, Ndzengue, G, Loveline, N, Lissom, A, Flaurent, T, Sosso, S, Essomba, C, Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, Yeboah-Manu, D, Elshayeb, A, Siddig, ME, Ahmed, AA, Hussien, AE, Kabwe, M, Tembo, J, Chilukutu, L, Chilufya, M, Ngulube, F, Lukwesa, C, Enne, V, Wexner, H, Mwananyanda, L, Hamer, D, Sinyangwe, S, Ahmed, Y, Klein, N, Maeurer, M, Zumla, A, Bates, M, Beyala, L, Etienne, G, Anthony, N, Benjamin, A, Ateudjieu, J, Chibwe, B, Ojok, D, Tarr, CA, Perez, GM, Omeonga, S, Kibungu, F, Meyer, A, Lansana, P, Mayor, A, Onyango, P, Van Loggerenberg, F, Furtado, T, Boggs, L, Segrt, A, Dochez, C, Burnett, R, Mphahlele, MJ, Miiro, G, Mbidde, E, Peshu, N, Kivaya, E, Ngowi, B, Kavishe, R, Maowia, M, Sandstrom, E, Ayuo, E, Mmbaga, B, Leisegang, C, Thorpe, M, Batchilly, E, N'Guessan, J-P, Kanteh, D, Søfteland, S, Sebitloane, M, Vwalika, B, Taylor, M, Galappaththi-Arachchige, H, Holmen, S, Gundersen, SG, Ndhlovu, P, Kjetland, EF, Kombe, F, Toohey, J, Pienaar, E, Kredo, T, Cham, PM, Abubakar, I, Dondeh, BL, Vischer, N, Pfeiffer, C, Burri, C, Musukwa, K, Zürcher, S, Mwandu, T, Bauer, S, Adriko, M, Mwaura, P, Omolloh, K, Jones, C, Malecela, M, Hamidu, BA, Jenner, TE, Asiedu, LJ, Osei-Atweneboana, M, Afeke, I, Addo, P, Newman, M, Durnez, L, Eddyani, M, Ammisah, N, Abas, M, Quartey, M, Ablordey, A, Akinwale, O, Adeneye, A, Ezeugwu, S, Olukosi, Y, Adewale, B, Sulyman, M, Mafe, M, Okwuzu, J, Gyang, P, Nwafor, T, Henry, U, Musa, B, Ujah, I, Agobé, JCD, Grau-Pujol, B, Sacoor, C, Nhabomba, A, Casellas, A, Quintó, L, Subirà, C, Giné, R, Valentín, A, Muñoz, J, Nikiema, M, Ky-Ba, A, Comapore, KAM, Sangare, L, Oluremi, A, Michel, M, Camara, Y, Sanneh, B, Cuamba, I, Gutiérrez, J, Lázaro, C, Mejia, R, Adedeji, A, Folorunsho, S, Demehin, P, Akinsanya, B, Cowley, G, Da Silva, ET, Nabicassa, M, De Barros, PDP, Blif, MM, Bailey, R, Last, A, Mahendradhata, Y, Gotuzzo, E, De Nys, K, Casteels, M, Nona, SK, Lumeka, K, Todagbe, A, Djima, MM, Ukpong, M, Sagay, A, Khamofu, H, Torpey, K, Afiadigwe, E, Anenih, J, Ezechi, O, Nweneka, C, Idoko, J, Muhumuza, S, Katahoire, A, Nuwaha, F, Olsen, A, Okeyo, S, Omollo, R, Kimutai, R, Ochieng, M, Egondi, T, Moonga, C, Chileshe, C, Magwende, G, Anumudu, C, Onile, O, Oladele, V, Adebayo, A, Awobode, H, Oyeyemi, O, Odaibo, A, Kabuye, E, Lutalo, T, Njua-Yafi, C, Nkuo-Akenji, T, Anchang-Kimbi, J, Mugri, R, Chi, H, Tata, R, Njumkeng, C, Dodoo, D, Achidi, E, Fernandes, J, Bache, EB, Matakala, K, Searle, K, Greenman, M, Rainwater-Lovett, K, Makanga, M, Beattie, P, Breugelmans, G, Nyirenda, T, Bockarie, M, Tanner, M, Volmink, J, Hankins, C, Walzl, G, Chegou, N, Malherbe, S, Hatherill, M, Scriba, TJ, Zak, DE, Barry, CE, Kaufmann, SHE, Noor, A, Strub-Wourgaft, N, Phillips, P, Munguambe, K, Ravinetto, R, Tinto, H, Diro, E, Mahendrahata, Y, Okebe, J, Rijal, S, Garcia, C, Sundar, S, Ndayisaba, G, Sopheak, T, Ngoduc, T, Van Loen, H, Jacobs, J, D'Alessandro, U, Boelaert, M, Buvé, A, Kamalo, P, Manda-Taylor, L, Rennie, S, Mokgatla, B, Bahati, Ijsselmuiden, C, Afolabi, M, Mcgrath, N, Kampmann, B, Imoukhuede, E, Alexander, N, Larson, H, Chandramohan, D, Bojang, K, Kasaro, MP, Muluka, B, Kaunda, K, Morse, J, Westfall, A, Kapata, N, Kruuner, A, Henostroza, G, Reid, S, Alabi, A, Foguim, F, Sankarganesh, J, Bruske, E, Mfoumbi, A, Mevyann, C, Adegnika, A, Lell, B, Kranzer, K, Kremsner, P, Grobusch, M, Sabiiti, W, Ntinginya, N, Kuchaka, D, Azam, K, Kampira, E, Mtafya, B, Bowness, R, Bhatt, N, Davies, G, Kibiki, G, Gillespie, S, Lejon, V, Ilboudo, H, Mumba, D, Camara, M, Kaba, D, Lumbala, C, Fèvre, E, Jamonneau, V, Bucheton, B, Büscher, P, Chisenga, C, Sinkala, E, Chilengi, R, Chitundu, H, Zyambo, Z, Wandeler, G, Vinikoor, M, Emilie, D, Camara, O, Mathurin, K, Guiguigbaza-Kossigan, D, Philippe, B, Regassa, F, Hassane, S, Bienvenu, SM, Fabrice, C, Ouédraogo, E, Kouakou, L, Owusu, M, Mensah, E, Enimil, A, Mutocheluh, M, Ndongo, FA, Tejiokem, MC, Texier, G, Penda, C, Ndiang, S, Ndongo, J-A, Guemkam, G, Sofeu, CL, Afumbom, K, Faye, A, Msellati, P, Warszawski, J, Vos, A, Devillé, W, Barth, R, Klipstein-Grobusch, K, Tempelman, H, Venter, F, Coutinho, R, Grobbee, D, Ssemwanga, D, Lyagoba, F, Magambo, B, Kapaata, A, Kirangwa, J, Nannyonjo, M, Nassolo, F, Nsubuga, R, Yebra, G, Brown, A, Kaleebu, P, Nylén, H, Habtewold, A, Makonnen, E, Yimer, G, Burhenne, J, Diczfalusy, U, Aklillu, E, Steele, D, Walker, R, Simuyandi, M, Beres, L, Bosomprah, S, Ansumana, R, Taitt, C, Lamin, JM, Jacobsen, KH, Mulvaney, SP, Leski, T, Bangura, U, Stenger, D, De Vries, S, Zinsou, FJ, Honkpehedji, J, Dejon, JC, Loembe, MM, Bache, B, Pakker, N, Van Leeuwen, R, Hounkpatin, AB, Yazdanbakhsh, M, Bethony, J, Hotez, P, Diemert, D, Bache, BE, Fernandes, JF, Obiang, RM, Kabwende, AL, Grobusch, MP, Krishna, S, Kremsner, PG, Todagbe, AS, Nambozi, M, Kabuya, J-B, Hachizovu, S, Mwakazanga, D, Kasongo, W, Buyze, J, Mulenga, M, Geertruyden, J-P, Gitaka, J, Chan, C, Kongere, J, Kagaya, W, Kaneko, A, Kabore, N, Barry, N, Kabre, Z, Werme, K, Fofana, A, Compaore, D, Nikiema, F, Some, F, Djimde, A, Zongo, I, Ouedraogo, B, Kone, A, Sagara, I, Björkman, A, Gil, JP, Nchinda, G, Bopda, A, Nji, N, Ambada, G, Ngu, L, Tchadji, J, Sake, C, Magagoum, S, Njambe, GD, Lisom, A, Park, CG, Tait, D, Sibusiso, H, Manda, O, Croucher, K, Van Der Westhuizen, A, Mshanga, I, Levin, J, Nanvubya, A, Kibengo, F, Jaoko, W, Pala, P, Perreau, M, Namuniina, A, Kitandwe, P, Tapia, G, Serwanga, J, Yates, N, Fast, P, Mayer, B, Montefiori, D, Tomaras, G, Robb, M, Lee, C, Wagner, R, Sanders, E, Kilembe, W, Kiwanuka, N, Gilmour, J, Kuipers, H, Vooij, D, Chinyenze, K, Priddy, F, Ding, S, Hanke, T, Pantaleo, G, Ngasala, B, Jovel, I, Malmberg, M, Mmbando, B, Premji, Z, Mårtensson, A, Mwaiswelo, R, Agbor, L, Apinjoh, T, Mwanza, S, Chileshe, J, Joshi, S, Malunga, P, Manyando, C, Laufer, M, Dara, A, Niangaly, A, Sinha, I, Brodin, D, Fofana, B, Dama, S, Dembele, D, Sidibe, B, Diallo, N, Thera, M, Wright, K, Gil, J, Doumbo, O, Baraka, V, Nabasumba, C, Francis, F, Lutumba, P, Mavoko, H, Alifrangis, M, Van Geertruyden, J-P, Sissoko, S, Sangaré, C, Toure, S, Sanogo, K, Diakite, H, Doumbia, D, Haidara, K, Julé, A, Ashurst, H, Merson, L, Olliaro, P, Marsh, V, Lang, T, Guérin, P, Awuondo, K, Njenga, D, Nyakarungu, E, Titus, P, Sutamihardja, A, Lowe, B, Ogutu, B, Billingsley, P, Soulama, I, Kaboré, M, Coulibaly, A, Ouattara, M, Sanon, S, Diarra, A, Bougouma, E, Ouedraogo, A, Sombie, B, Kargougou, D, Ouattara, D, Issa, N, Tiono, A, Sirima, S, Chaponda, M, Dabira, E, Dao, F, Dara, N, Coulibaly, M, Tolo, A, Maiga, H, Ouologuem, N, Niangaly, H, Botchway, F, Wilson, N, Dickinson-Copeland, CM, Adjei, AA, Wilson, M, Stiles, JK, Hamid, MA, Awad-Elgeid, M, Nasr, A, Netongo, P, Kamdem, S, Velavan, T, Lasry, E, Diarra, M, Bamadio, A, Traore, A, Coumare, S, Soma, B, Dicko, Y, Sangare, B, Tembely, A, Traore, D, Haidara, A, Dicko, A, Diawara, E, Beavogui, A, Camara, D, Sylla, M, Yattara, M, Sow, A, Camara, GC, Diallo, S, Mombo-Ngoma, G, Remppis, J, Sievers, M, Manego, RZ, Endamne, L, Hutchinson, D, Held, J, Supan, C, Salazar, CLO, Bonkian, LN, Nahum, A, Sié, A, Abdulla, S, Cantalloube, C, Djeriou, E, Bouyou-Akotet, M, Mordmüller, B, Siribie, M, Sirima, SB, Ouattara, SM, Coulibaly, S, Kabore, JM, Amidou, D, Tekete, M, Traore, O, Haefeli, W, Borrmann, S, Kaboré, N, Kabré, Z, Nikèma, F, Compaoré, D, Somé, F, Djimdé, A, Ouédraogo, J, Chalwe, V, Miller, J, Diakité, H, Greco, B, Spangenberg, T, Kourany-Lefoll, E, Oeuvray, C, Mulry, J, Tyagarajan, K, Magsaam, B, Barnes, K, Hodel, EM, Humphreys, G, Pace, C, Banda, CG, Denti, P, Allen, E, Lalloo, D, Mwapasa, V, Terlouw, A, Mwesigwa, J, Achan, J, Jawara, M, Ditanna, G, Worwui, A, Affara, M, Koukouikila-Koussounda, F, Kombo, M, Vouvoungui, C, Ntoumi, F, Etoka-Beka, MK, Deibert, J, Poulain, P, Kobawila, S, Gueye, NG, Seda, B, Kwambai, T, Jangu, P, Samuels, A, Kuile, FT, Kariuki, S, Barry, A, Bousema, T, Okech, B, Egwang, T, Corran, P, Riley, E, Ezennia, I, Ekwunife, O, Muleba, M, Stevenson, J, Mbata, K, Coetzee, M, Norris, D, Moneke-Anyanwoke, N, Momodou, J, Clarke, E, Scott, S, Tijani, A, Djimde, M, Vaillant, M, Samouda, H, Mensah, V, Roetynck, S, Kanteh, E, Bowyer, G, Ndaw, A, Oko, F, Bliss, C, Jagne, YJ, Cortese, R, Nicosia, A, Roberts, R, D'Alessio, F, Leroy, O, Faye, B, Cisse, B, Gerry, S, Viebig, N, Lawrie, A, Ewer, K, Hill, A, Nebie, I, Tiono, AB, Sanou, G, Konate, AT, Yaro, BJ, Sodiomon, S, Honkpehedji, Y, Agobe, JCD, Zinsou, F, Mengue, J, Richie, T, Hoffman, S, Nouatin, O, Ngoa, UA, Edoa, JR, Homoet, A, Engelhon, JE, Massinga-Louembe, M, Esen, M, Theisen, M, Sim, KL, Luty, AJ, Moutairou, K, Dinko, B, King, E, Targett, G, Sutherland, C, Likhovole, C, Ouma, C, Vulule, J, Musau, S, Khayumbi, J, Okumu, A, Murithi, W, Otu, J, Gehre, F, Zingue, D, Kudzawu, S, Forson, A, Mane, M, Rabna, P, Diarra, B, Kayede, S, Adebiyi, E, Kehinde, A, Onyejepu, N, Onubogu, C, Idigbe, E, Ba, A, Diallo, A, Mboup, S, Disse, K, Kadanga, G, Dagnra, Y, Baldeh, I, Corrah, T, De Jong, B, Antonio, M, Musanabaganwa, C, Musabyimana, JP, Karita, E, Diop, B, Nambajimana, A, Dushimiyimana, V, Karame, P, Russell, J, Ndoli, J, Hategekimana, T, Sendegeya, A, Condo, J, Binagwaho, A, Okonko, I, Okerentugba, P, Opaleye, O, Awujo, E, Frank-Peterside, N, Moyo, S, Kotokwe, K, Mohammed, T, Boleo, C, Mupfumi, L, Chishala, S, Gaseitsiwe, S, Tsalaile, L, Bussmann, H, Makhema, J, Baum, M, Marlink, R, Engelbretch, S, Essex, M, Novitsky, V, Saka, E, Kalipalire, Z, Bhairavabhotla, R, Midiani, D, Sherman, J, Mgode, G, Cox, C, Bwana, D, Mtui, L, Magesa, D, Kahwa, A, Mfinanga, G, Mulder, C, Borain, N, Petersen, L, Du Plessis, J, Theron, G, Holm-Hansen, C, Tekwu, EM, Sidze, LK, Assam, JPA, Eyangoh, S, Niemann, S, Beng, VP, Frank, M, Atiadeve, S, Hilmann, D, Awoniyi, D, Baumann, R, Kriel, B, Jacobs, R, Kidd, M, Loxton, A, Kaempfer, S, Singh, M, Mwanza, W, Milimo, D, Moyo, M, Kasese, N, Cheeba-Lengwe, M, Munkondya, S, Ayles, H, De Haas, P, Muyoyeta, M, Namuganga, AR, Kizza, HM, Mendy, A, Tientcheu, L, Ayorinde, A, Coker, E, Egere, U, Coussens, A, Naude, C, Chaplin, G, Noursadeghi, M, Martineau, A, Jablonski, N, Wilkinson, R, Ouedraogo, HG, Matteelli, A, Regazzi, M, Tarnagda, G, Villani, P, Sulis, G, Diagbouga, S, Roggi, A, Giorgetti, F, Kouanda, S, Bidias, A, Ndjonka, D, Olemba, C, Souleymanou, A, Mukonzo, J, Kuteesa, R, Ogwal-Okeng, J, Gustafsson, LL, Owen, J, Bassi, P, Gashau, W, Olaf, K, Dodoo, A, Okonkwo, P, Kanki, P, Maruapula, D, Seraise, B, Einkauf, K, Reilly, A, Rowley, C, Musonda, R, Framhein, A, Mpagama, S, Semvua, H, Maboko, L, Hoelscher, M, Heinrich, N, Mulenga, L, Kaayunga, C, Davies, M-A, Egger, M, Musukuma, K, Dambe, R, Usadi, B, Ngari, M, Thitiri, J, Mwalekwa, L, Fegan, G, Berkley, J, Nsagha, D, Munamunungu, V, Bolton, C, Siyunda, A, Shilimi, J, Bucciardini, R, Fragola, V, Abegaz, T, Lucattini, S, Halifom, A, Tadesse, E, Berhe, M, Pugliese, K, De Castro, P, Terlizzi, R, Fucili, L, Di Gregorio, M, Mirra, M, Zegeye, T, Binelli, A, Vella, S, Abraham, L, Godefay, H, Rakotoarivelo, R, Raberahona, M, Randriamampionona, N, Andriamihaja, R, Rasamoelina, T, Cornet, M, De Dieu Randria, MJ, Benet, T, Vanhems, P, Andrianarivelo, MR, Chirwa, U, Michelo, C, Hamoonga, R, Wandiga, S, Oduor, P, Agaya, J, Sharma, A, Cavanaugh, S, Cain, K, Mukisa, J, Mupere, E, Worodria, W, Ngom, JT, Koro, F, Godwe, C, Adande, C, Ateugieu, R, Onana, T, Ngono, A, Kamdem, Y, Ngo-Niobe, S, Etoa, F-X, Kanengoni, M, Ruzario, S, Ndebele, P, Shana, M, Tarumbiswa, F, Musesengwa, R, Gutsire, R, Fisher, K, Thyagarajan, B, Akanbi, O, Binuyo, M, Ssengooba, W, Respeito, D, Mambuque, E, Blanco, S, Mandomando, I, Cobelens, F, Garcia-Basteiro, A, Tamene, A, Topp, S, Mwamba, C, Padian, N, Sikazwe, I, Geng, E, Holmes, C, Sikombe, K, Hantuba, Czaicki, N, Simbeza, S, Somwe, P, Umulisa, M, Ilo, J, Kestelyn, E, Uwineza, M, Agaba, S, Delvaux, T, Wijgert, J, Gethi, D, Odeny, L, Tamandjou, C, Kaindjee-Tjituka, F, Brandt, L, Cotton, M, Nel, E, Preiser, W, Andersson, M, Adepoju, A, Magana, M, Etsetowaghan, A, Chilikwazi, M, Sutcliffe, C, Thuma, P, Sinywimaanzi, K, Matakala, H, Munachoonga, P, Moss, W, Masenza, IS, Geisenberger, O, Agrea, P, Rwegoshora, F, Mahiga, H, Olomi, W, Kroidl, A, Kayode, G, Amoakoh-Coleman, M, Ansah, E, Uthman, O, Fokam, J, Santoro, M-M, Musolo, C, Chimbiri, I, Chikwenga, G, Deula, R, Massari, R, Lungu, A, Perno, C-F, Ndzengue, G, Loveline, N, Lissom, A, Flaurent, T, Sosso, S, Essomba, C, Kpeli, G, Otchere, I, Lamelas, A, Buultjens, A, Bulach, D, Baines, S, Seemann, T, Giulieri, S, Nakobu, Z, Aboagye, S, Owusu-Mireku, E, Danso, E, Hauser, J, Hinic, V, Pluschke, G, Stinear, T, Yeboah-Manu, D, Elshayeb, A, Siddig, ME, Ahmed, AA, Hussien, AE, Kabwe, M, Tembo, J, Chilukutu, L, Chilufya, M, Ngulube, F, Lukwesa, C, Enne, V, Wexner, H, Mwananyanda, L, Hamer, D, Sinyangwe, S, Ahmed, Y, Klein, N, Maeurer, M, Zumla, A, Bates, M, Beyala, L, Etienne, G, Anthony, N, Benjamin, A, Ateudjieu, J, Chibwe, B, Ojok, D, Tarr, CA, Perez, GM, Omeonga, S, Kibungu, F, Meyer, A, Lansana, P, Mayor, A, Onyango, P, Van Loggerenberg, F, Furtado, T, Boggs, L, Segrt, A, Dochez, C, Burnett, R, Mphahlele, MJ, Miiro, G, Mbidde, E, Peshu, N, Kivaya, E, Ngowi, B, Kavishe, R, Maowia, M, Sandstrom, E, Ayuo, E, Mmbaga, B, Leisegang, C, Thorpe, M, Batchilly, E, N'Guessan, J-P, Kanteh, D, Søfteland, S, Sebitloane, M, Vwalika, B, Taylor, M, Galappaththi-Arachchige, H, Holmen, S, Gundersen, SG, Ndhlovu, P, Kjetland, EF, Kombe, F, Toohey, J, Pienaar, E, Kredo, T, Cham, PM, Abubakar, I, Dondeh, BL, Vischer, N, Pfeiffer, C, Burri, C, Musukwa, K, Zürcher, S, Mwandu, T, Bauer, S, Adriko, M, Mwaura, P, Omolloh, K, Jones, C, Malecela, M, Hamidu, BA, Jenner, TE, Asiedu, LJ, Osei-Atweneboana, M, Afeke, I, Addo, P, Newman, M, Durnez, L, Eddyani, M, Ammisah, N, Abas, M, Quartey, M, Ablordey, A, Akinwale, O, Adeneye, A, Ezeugwu, S, Olukosi, Y, Adewale, B, Sulyman, M, Mafe, M, Okwuzu, J, Gyang, P, Nwafor, T, Henry, U, Musa, B, Ujah, I, Agobé, JCD, Grau-Pujol, B, Sacoor, C, Nhabomba, A, Casellas, A, Quintó, L, Subirà, C, Giné, R, Valentín, A, Muñoz, J, Nikiema, M, Ky-Ba, A, Comapore, KAM, Sangare, L, Oluremi, A, Michel, M, Camara, Y, Sanneh, B, Cuamba, I, Gutiérrez, J, Lázaro, C, Mejia, R, Adedeji, A, Folorunsho, S, Demehin, P, Akinsanya, B, Cowley, G, Da Silva, ET, Nabicassa, M, De Barros, PDP, Blif, MM, Bailey, R, Last, A, Mahendradhata, Y, Gotuzzo, E, De Nys, K, Casteels, M, Nona, SK, Lumeka, K, Todagbe, A, Djima, MM, Ukpong, M, Sagay, A, Khamofu, H, Torpey, K, Afiadigwe, E, Anenih, J, Ezechi, O, Nweneka, C, Idoko, J, Muhumuza, S, Katahoire, A, Nuwaha, F, Olsen, A, Okeyo, S, Omollo, R, Kimutai, R, Ochieng, M, Egondi, T, Moonga, C, Chileshe, C, Magwende, G, Anumudu, C, Onile, O, Oladele, V, Adebayo, A, Awobode, H, Oyeyemi, O, Odaibo, A, Kabuye, E, Lutalo, T, Njua-Yafi, C, Nkuo-Akenji, T, Anchang-Kimbi, J, Mugri, R, Chi, H, Tata, R, Njumkeng, C, Dodoo, D, Achidi, E, Fernandes, J, Bache, EB, Matakala, K, Searle, K, Greenman, M, and Rainwater-Lovett, K
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- 2017
4. Effect of a multicomponent, person-centred care intervention on client experience and HIV treatment outcomes in Zambia: a stepped-wedge, cluster-randomised trial.
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Sikombe K, Mody A, Goss CW, Simbeza S, Beres LK, Pry JM, Eshun-Wilson I, Sharma A, Mukamba N, Mulenga LB, Rice B, Mutale J, Zulu Dube A, Mulabe M, Hargreaves J, Bolton Moore C, Holmes CB, Sikazwe I, and Geng EH
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- Adult, Female, Humans, Male, Middle Aged, Young Adult, Anti-HIV Agents therapeutic use, Health Personnel, Treatment Outcome, Zambia epidemiology, HIV Infections therapy, HIV Infections drug therapy, Patient-Centered Care
- Abstract
Background: Recipients of health services value not only convenience but also respectful, kind, and helpful providers. To date, research to improve person-centred HIV treatment has focused on making services easier to access (eg, differentiated service delivery) rather than the interpersonal experience of care. We developed and evaluated a person-centred care (PCC) intervention targeting practices of health-care workers., Methods: Using a stepped-wedge, cluster-randomised design, we randomly allocated 24 HIV clinics stratified by size in Zambia into four groups and introduced a PCC intervention that targeted caring aspects of the behaviour of health-care workers in one group every 6 months. The intervention entailed training and coaching for health-care workers on PCC practices (to capacitate), client experience assessment with feedback to facilities (to create opportunities), and small performance-based incentives (to motivate). In a probability sample of clients who were pre-trained on a client experience exit survey and masked to facility intervention status, we evaluated effects on client experience by use of mean score change and also proportion with poor encounters (ie, score of ≤8 on a 12-point survey instrument). We examined effects on missed visits (ie, >30 days late for next scheduled encounter) in all groups and retention in care at 15 months in group 1 and group 4 by use of electronic health records. We assessed effects on treatment success at 15 months (ie, HIV RNA concentration <400 copies per mL or adjudicated care status) in a prospectively enrolled subset of clients from group 1 and group 4. We estimated treatment effects with mixed-effects logistic regression, adjusting for sex, age, and baseline care status. This trial is registered at the Pan-African Clinical Trials Registry (202101847907585), and is completed., Findings: Between Aug 12, 2019, and Nov 30, 2021, 177 543 unique clients living with HIV made at least one visit to one of the 24 study clinics. The PCC intervention reduced the proportion of poor visits based on exit surveys from 147 (23·3%) of 632 during control periods to 33 (13·3%) of 249 during the first 6 months of intervention, and then to eight (3·5%) of 230 at 6 months or later (adjusted risk difference [aRD] for control vs ≥6 months intervention -16·9 percentage points, 95% CI -24·8 to -8·9). Among all adult scheduled appointments, the PCC intervention reduced the proportion of missed visits from 90 593 (25·3%) of 358 741 during control periods to 40 380 (22·6%) of 178 523 in the first 6 months, and then 52 288 (21·5%) of 243 350 at 6 months or later (aRD for control vs the intervention -4·2 percentage points, 95% CI -4·8 to -3·7). 15-month retention improved from 33 668 (80·2%) of 41 998 in control to 35 959 (83·6%) of 43 005 during intervention (aRD 5·9 percentage points, 95% CI 0·6 to 11·2), with larger effects in clients newly starting treatment (aRD 12·7 percentage points, 1·4 to 23·9). We found no effect on treatment success (based on viral load) in a nested subcohort (379 [83·7%] of 453 in the control phase vs 402 [83·8%] of 480 in the intervention phase; aRD 0·9 percentage points, -5·4 to 7·2)., Interpretation: Improving the caring aspects of health-care worker behaviour is feasible in public health settings, enhances client experience, reduces missed appointments, and increases retention., Funding: The Bill & Melinda Gates Foundation., Competing Interests: Declaration of interests AM and EHG report funding from the US National Institutes of Health during the conduct of this study. CBH reports grants from the Gates Foundation, outside the submitted work. CBH reports consulting for the Bill & Melinda Gates Medical Research Institute. EHG receives educational grants from ViiV Healthcare, outside the submitted work. AM has received funding from Gilead, outside the submitted work. IE-W is an employee of Johnson & Johnson and receives a salary and stock. All other authors declare no competing interests., (Copyright © 2024 Elsevier Ltd. All rights reserved, including those for text and data mining, AI training, and similar technologies.)
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- 2025
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5. Lost in translation: key lessons from conducting dissemination and implementation science in Zambia.
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Maritim P, Munakampe MN, Nglazi M, Mweemba C, Sikombe K, Mbewe W, Silumbwe A, Jacobs C, Zulu JM, Herce M, Mutale W, and Halwindi H
- Abstract
Background: As the field of implementation science continues to grow, its key concepts are being transferred into new contexts globally, such as Low and Middle Income Countries (LMICs), and its use is constantly being reexamined and expanded. Theoretical and methodological positions commonly used in implementation research and practice have great utility in our work but in many cases are at odds with LMIC contexts. As a team of implementation scientists based in Zambia, we offer this commentary as a critical self-reflection on what has worked and what could limit us from fully utilizing the field's promise for addressing health problems with contextual understanding., Main Body: We used a 'premortem,' an approach used to generate potential alternatives from failed assumptions about a particular phenomenon, as a way to reflect on our experiences conducting implementation research and practice. By utilizing prospectively imagined hindsights, we were able to reflect on the past, present and possible future of the field in Zambia. Six key challenges identified were: (i) epistemic injustices; (ii) simplified conceptualizations of evidence-informed interventions; (iii) limited theorization of the complexity of low-resource contexts and it impacts on implementation; (iv) persistent lags in transforming research into practice; (v) limited focus on strategic dissemination of implementation science knowledge and (vi) existing training and capacity building initiatives' failure to engage a broad range of actors including practitioners through diverse learning models., Conclusion: Implementation science offers great promise in addressing many health problems in Zambia. Through this commentary, we hope to spur discussions on how implementation scientists can reimagine the future of the field by contemplating on lessons from our experiences in LMIC settings., (© 2024. The Author(s).)
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- 2024
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6. Assessing the Response Results of an mHealth-Based Patient Experience Survey Among People Receiving HIV Care in Lusaka, Zambia: Cohort Study.
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Mutale J, Sikombe K, Mwale B, Lumpa M, Simbeza S, Bukankala C, Mukamba N, Mody A, Beres LK, Holmes CB, Bolton Moore C, Geng EH, Sikazwe I, and Pry JM
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- Humans, Zambia, Male, Female, Adult, Cohort Studies, Pilot Projects, Middle Aged, Surveys and Questionnaires, HIV Infections therapy, HIV Infections drug therapy, Telemedicine statistics & numerical data
- Abstract
Background: This pilot study evaluates the effectiveness of mobile talk-time incentives in maintaining participation in a longitudinal mobile health (mHealth) data collection program among people living with HIV in Lusaka, Zambia. While mHealth tools, such as mobile phone surveys, provide vital health feedback, optimal incentive strategies to ensure long-term engagement remain limited. This study explores how different incentive levels affect response rates in multiple survey rounds, providing insights into effective methods for encouraging ongoing participation, especially in the context of Zambia's prepaid mobile system and multi-SIM usage, a common practice in sub-Saharan Africa., Objective: This study aimed to assess the response rate success across multiple invitations to participate in a care experience survey using a mobile phone short codes and unstructured supplementary service data (USSD) model among individuals in an HIV care setting in the Lusaka, Zambia., Methods: Participants were recruited from 2 study clinics-1 in a periurban setting and 1 in an urban setting. A total of 2 rounds of survey invitations were sent to study participants on a 3-month interval between November 1, 2018, and September 23, 2019. Overall, 3 incentive levels were randomly assigned by participant and survey round: (1) no incentive, (2) 2 Zambian Kwacha (ZMW; US $0.16), and (3) 5 ZMW (US $0.42). Survey response rates were analyzed using mixed-effects Poisson regression, adjusting for individual- and facility-level factors. Probability plots for survey completion were generated based on language, incentive level, and survey round. We projected the cost per additional response for different incentive levels., Results: A total of 1006 participants were enrolled, with 72.3% (727/1006) from the urban HIV care facility and 62.4% (628/1006) requesting the survey in English. We sent a total of 1992 survey invitations for both rounds. Overall, survey completion across both surveys was 32.1% (637/1992), with significantly different survey completion between the first (40.5%, 95% CI 37.4-43.6%) and second (23.7%, 95% CI 21.1-26.4) invitations. Implementing a 5 ZMW (US $0.42) incentive significantly increased the adjusted prevalence ratio (aPR) for survey completion compared with those that received no incentive (aPR 1.35, 95% CI 1.11-1.63). The cost per additional response was highest at 5 ZMW, equivalent to US $0.42 (72.8 ZMW [US $5.82] per 1% increase in response)., Conclusions: We observed a sharp decline of almost 50% in survey completion success from the initial invitation to follow-up survey administered 3 months later. This substantial decrease suggests that longitudinal data collection potential for a care experience survey may be limited without additional sensitization and, potentially, added survey reminders. Implementing a moderate incentive increased response rates to our health care experience survey. Tailoring survey strategies to accommodate language preferences and providing moderate incentives can optimize response rates in Zambia., Trial Registration: Pan African Clinical Trial Registry PACTR202101847907585; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=14613., (©Jacob Mutale, Kombatende Sikombe, Boroma Mwale, Mwansa Lumpa, Sandra Simbeza, Chama Bukankala, Njekwa Mukamba, Aaloke Mody, Laura K Beres, Charles B Holmes, Carolyn Bolton Moore, Elvin H Geng, Izukanji Sikazwe, Jake M Pry. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 30.09.2024.)
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- 2024
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7. Person-centred interventions to improve patient-provider relationships for HIV services in low- and middle-income countries: a systematic review.
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Beres LK, Underwood A, Le Tourneau N, Kemp CG, Kore G, Yaeger L, Li J, Aaron A, Keene C, Mallela DP, Khalifa BAA, Mody A, Schwartz SR, Baral S, Mwamba C, Sikombe K, Eshun-Wilson I, Geng EH, and Lavoie MC
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- Humans, Continuity of Patient Care, Professional-Patient Relations, HIV Infections therapy, HIV Infections psychology, Developing Countries, Patient-Centered Care methods
- Abstract
Introduction: Person-centred care (PCC) has been recognized as a critical element in delivering quality and responsive health services. The patient-provider relationship, conceptualized at the core of PCC in multiple models, remains largely unexamined in HIV care. We conducted a systematic review to better understand the types of PCC interventions implemented to improve patient-provider interactions and how these interventions have improved HIV care continuum outcomes and person-reported outcomes (PROs) among people living with HIV in low- and middle-income countries., Methods: We searched databases, conference proceedings and conducted manual targeted searches to identify randomized trials and observational studies published up to January 2023. The PCC search terms were guided by the Integrative Model of Patient-Centeredness by Scholl. We included person-centred interventions aiming to enhance the patient-provider interactions. We included HIV care continuum outcomes and PROs., Results: We included 28 unique studies: 18 (64.3%) were quantitative, eight (28.6.%) were mixed methods and two (7.1%) were qualitative. Within PCC patient-provider interventions, we inductively identified five categories of PCC interventions: (1) providing friendly and welcoming services; (2) patient empowerment and improved communication skills (e.g. supporting patient-led skills such as health literacy and approaches when communicating with a provider); (3) improved individualized counselling and patient-centred communication (e.g. supporting provider skills such as training on motivational interviewing); (4) audit and feedback; and (5) provider sensitisation to patient experiences and identities. Among the included studies with a comparison arm and effect size reported, 62.5% reported a significant positive effect of the intervention on at least one HIV care continuum outcome, and 100% reported a positive effect of the intervention on at least one of the included PROs., Discussion: Among published HIV PCC interventions, there is heterogeneity in the components of PCC addressed, the actors involved and the expected outcomes. While results are also heterogeneous across clinical and PROs, there is more evidence for significant improvement in PROs. Further research is necessary to better understand the clinical implications of PCC, with fewer studies measuring linkage or long-term retention or viral suppression., Conclusions: Improved understanding of PCC domains, mechanisms and consistency of measurement will advance PCC research and implementation., (© 2024 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of International AIDS Society.)
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- 2024
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8. Comparison of patient exit interviews with unannounced standardised patients for assessing HIV service delivery in Zambia: a study nested within a cluster randomised trial.
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Sikombe K, Pry JM, Mody A, Rice B, Bukankala C, Eshun-Wilson I, Mutale J, Simbeza S, Beres LK, Mukamba N, Mukumbwa-Mwenechanya M, Mwamba D, Sharma A, Wringe A, Hargreaves J, Bolton-Moore C, Holmes C, Sikazwe IT, and Geng E
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- Adult, Female, Humans, Male, Middle Aged, Cross-Sectional Studies, Surveys and Questionnaires, Zambia, Ambulatory Care Facilities, HIV Infections drug therapy
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Objectives: To compare unannounced standardised patient approach (eg, mystery clients) with typical exit interviews for assessing patient experiences in HIV care (eg, unfriendly providers, long waiting times). We hypothesise standardised patients would report more negative experiences than typical exit interviews affected by social desirability bias., Setting: Cross-sectional surveys in 16 government-operated HIV primary care clinics in Lusaka, Zambia providing antiretroviral therapy (ART)., Participants: 3526 participants aged ≥18 years receiving ART participated in the exit surveys between August 2019 and November 2021., Intervention: Systematic sample (every n
th file) of patients in clinic waiting area willing to be trained received pre-visit training and post-visit interviews. Providers were unaware of trained patients., Outcome Measures: We compared patient experience among patients who received brief training prior to their care visit (explaining each patient experience construct in the exit survey, being anonymous, without manipulating behaviour) with those who did not undergo training on the survey prior to their visit., Results: Among 3526 participants who participated in exit surveys, 2415 were untrained (56% female, median age 40 (IQR: 32-47)) and 1111 were trained (50% female, median age 37 (IQR: 31-45)). Compared with untrained, trained patients were more likely to report a negative care experience overall (adjusted prevalence ratio (aPR) for aggregate sum score: 1.64 (95% CI: 1.39 to 1.94)), with a greater proportion reporting feeling unwelcome by providers (aPR: 1.71 (95% CI: 1.20 to 2.44)) and witnessing providers behaving rude (aPR: 2.28 (95% CI: 1.63 to 3.19))., Conclusion: Trained patients were more likely to identify suboptimal care. They may have understood the items solicited better or felt empowered to be more critical. We trained existing patients, unlike studies that use 'standardised patients' drawn from outside the patient population. This low-cost strategy could improve patient-centred service delivery elsewhere., Trial Registration Number: Assessment was nested within a parent study; www.pactr.org registered the parent study (PACTR202101847907585)., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.)- Published
- 2023
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9. Provider perspectives on patient-centredness: participatory formative research and rapid analysis methods to inform the design and implementation of a facility-based HIV care improvement intervention in Zambia.
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Mwamba C, Beres LK, Mukamba N, Jere L, Foloko M, Lumbo K, Sikombe K, Simbeza S, Mody A, Pry JM, Holmes CB, Sikazwe I, Moore CB, Christopoulos K, Sharma A, and Geng EH
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- Humans, Zambia, Focus Groups, Motivation, Health Personnel, Patient Participation, HIV Infections drug therapy
- Abstract
Introduction: Implementation of patient-centred care (PCC) practices in HIV treatment depends on healthcare workers' (HCWs) perceptions of the acceptability, appropriateness and feasibility of such practices (e.g. use of intentional, metric-driven activities to improve patient experiences)., Methods: We applied rapid, rigorous formative research methods to refine a PCC intervention for future trial. In 2018, we conducted focus group discussions (FGDs) with 46 HCWs purposefully selected from two pilot sites. We elicited HCW perceptions of HIV service delivery, HCW motivation and perceived value of patient experience measures intended to improve PCC. FGDs utilized participatory methods to understand HCW responses to patient-reported care engagement challenges and Scholl's PCC Framework principles (e.g. seeing a patient as a unique person), enablers (e.g. care coordination) and activities (e.g. patient involvement). Our rapid analysis used analytic memos, thematic analysis, research team debriefs and HCW feedback to inform time-sensitive trial implementation., Results: While HCWs nearly universally identified with and supported principles of PCC in both facilities, they raised practical barriers given the practice environment. HCWs described motivation to help patients, attached value to seeing positive health outcomes and the importance of teamwork. However, HCWs reported challenges with enablers needed to deliver PCC. HCWs cited a work culture characterized by differential power dynamics between cadres and departments restricting HCW autonomy and resource access. Barriers included inflexibility in accommodating individual patient needs due to high patient volumes, limited human resources, laboratory capacity, infrastructure and skills translating patient perspectives into practice. HCW motivation was negatively influenced by encounters with "difficult patients," and feeling "unappreciated" by management, resulting in cognitive dissonance between HCW beliefs and behaviours. However, the enactment of PCC values also occurred. Results suggested that PCC interventions should reduce practice barriers, highlighting the value of mentors who could help HCWs dynamically engage with health system constraints, to facilitate PCC., Conclusions: While HCWs perceived PCC principles as acceptable, they did not think it universally appropriate or feasible given the practice environment. Participatory and rapid methods provided timely insight that PCC interventions must provide clear and effective systems enabling PCC activities by measuring and mitigating relational and organizational constraints amenable to change such as inter-cadre coordination., (© 2023 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)
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- 2023
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10. Patterns of person-centred communications in public HIV clinics: a latent class analysis using the Roter interaction analysis system.
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Mukamba N, Mwamba C, Redkar S, Foloko M, Lumbo K, Nyirenda H, Roter DL, Mulabe M, Sharma A, Simbeza S, Sikombe K, Beres LK, Pry JM, Christopoulos K, Holmes CB, Geng EH, Sikazwe I, Bolton-Moore C, and Mody A
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- Humans, Communication, Latent Class Analysis, Zambia, HIV Infections therapy, Physician-Patient Relations
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Introduction: Poor client-provider communication is a critical barrier to long-term retention in care among people living with HIV. However, standardized assessments of this key metric are limited in Africa. We used the Roter Interaction Analysis System (RIAS) to quantitatively characterize patterns of person-centred communication (PCC) behaviours in Zambia., Methods: We enrolled pairs of people living with HIV making routine HIV follow-up visit and their providers at 24 Ministry of Health-facilities supported by the Centre for Infectious Disease Research in Zambia in Lusaka province between August 2019 and November 2021. Client-provider encounters were audio-recorded and coded using RIAS by trained research staff. We performed latent class analysis to identify interactions with distinctive patterns of provider PCC behaviours (i.e. rapport building, person-centred counselling, PCC micropractices [e.g. brief empathy statements], assessing barriers to care, shared decision-making and leveraging discretionary power) and compared their distribution across client, provider, interaction and facility characteristics., Results: We enrolled 478 people living with HIV and 139 providers (14% nurses, 73.6% clinical officers, 12.3% were medical officers). We identified four distinct profiles: (1) "Medically Oriented Interaction, Minimal PCC Behaviours" (47.6% of interactions) was characterized by medical discussion, minimal psychosocial/non-medical talk and low use of PCC behaviours; (2) "Balanced Medical/Non-medical Interaction, Low PCC Behaviours" (21.0%) was characterized by medical and non-medical discussion but limited use of other PCC behaviours; (3) "Medically Oriented Interaction, Good PCC Behaviours" (23.9%) was characterized by medically oriented discussion, more information-giving and increased use of PCC behaviours; and (4) "Highly person-centred Interaction" (7.5%) was characterized by both balanced medical/non-medical focus and the highest use of PCC behaviours. Nurse interactions were more likely to be characterized by more PCC behaviours (i.e. Class 3 or 4) (44.8%), followed by medical officers (33.9%) and clinical officers (27.3%) (p = 0.031). Longer interactions were also more likely to integrate more PCC behaviours (p < 0.001)., Conclusions: PCC behaviours are relatively uncommon in HIV care in Zambia, and often limited to brief rapport-building statements and PCC micropractices. Strengthening PCC, such as shared decision-making and leveraging discretionary power to better accommodate client needs and preferences, may be an important strategy for improving the quality in HIV treatment programmes., (© 2023 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)
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- 2023
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11. Cross-sectional study to assess depression among healthcare workers in Lusaka, Zambia during the COVID-19 pandemic.
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Simbeza S, Mutale J, Mulabe M, Jere L, Bukankala C, Sikombe K, Sikazwe I, Bolton-Moore C, Mody A, Geng EH, Sharma A, Beres LK, and Pry JM
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- Humans, Cross-Sectional Studies, SARS-CoV-2, Depression, COVID-19 Testing, Zambia, Pandemics prevention & control, Health Personnel psychology, COVID-19, HIV Infections
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Objectives: We sought to assess depression among healthcare workers (HCWs) in the context of COVID-19 in Lusaka Province, Zambia., Design: This cross-sectional study is nested within a larger study, the Person-Centred Public Health for HIV Treatment in Zambia (PCPH), a cluster-randomised trial to assess HIV care and outcomes., Setting: The research was conducted in 24 government-run health facilities from 11 August to 15 October 2020 during the first wave of the COVID-19 pandemic in Lusaka, Zambia., Participants: We used convenience sampling to recruit HCW participants who were previously enrolled in the PCPH study, had more than 6 months' experience working at the facility and were voluntarily willing to participate., Primary Outcome Measures: We implemented the well-validated 9-question Patient Health Questionnaire (PHQ-9) to assess HCW depression. We used mixed-effects, adjusted Poisson regression to estimate the marginal probability of HCWs experiencing depression that may warrant intervention (PHQ-9 score ≥5) by healthcare facility., Results: We collected PHQ-9 survey responses from 713 professional and lay HCWs. Overall, 334 (46.8%, 95% CI 43.1%, 50.6%) HCWs recorded a PHQ-9 score ≥5, indicating the need for further assessment and potential intervention for depression. We identified significant heterogeneity across facilities and observed a greater proportion of HCWs with symptoms of depression in facilities providing COVID-19 testing and treatment services., Conclusions: Depression may be a concern for a large proportion of HCWs in Zambia. Further work to understand the magnitude and aetiologies of depression among HCWs in the public sector is needed to design effective prevention and treatment interventions to meet the needs for mental health support and to minimise poor health outcomes., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.)
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- 2023
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12. Trajectories of re-engagement: factors and mechanisms enabling patient return to HIV care in Zambia.
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Beres LK, Mwamba C, Bolton-Moore C, Kennedy CE, Simbeza S, Topp SM, Sikombe K, Mukamba N, Mody A, Schwartz SR, Geng E, Holmes CB, Sikazwe I, and Denison JA
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- Humans, HIV, Patient Acceptance of Health Care, Zambia, HIV Infections drug therapy, Anti-HIV Agents therapeutic use
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Introduction: While disengagement from HIV care threatens the health of persons living with HIV (PLWH) and incidence-reduction targets, re-engagement is a critical step towards positive outcomes. Studies that establish a deeper understanding of successful return to clinical care among previously disengaged PLWH and the factors supporting re-engagement are essential to facilitate long-term care continuity., Methods: We conducted narrative, patient-centred, in-depth interviews between January and June 2019 with 20 PLWH in Lusaka, Zambia, who had disengaged and then re-engaged in HIV care, identified through electronic medical records (EMRs). We applied narrative analysis techniques, and deductive and inductive thematic analysis to identify engagement patterns and enablers of return., Results: We inductively identified five trajectories of care engagement, suggesting patterns in patient characteristics, experienced barriers and return facilitators that may aid intervention targeting including: (1) intermittent engagement;(2) mostly engaged; (3) delayed linkage after testing; (4) needs time to initiate antiretroviral therapy (ART); and (5) re-engagement with ART initiation. Patient-identified periods of disengagement from care did not always align with care gaps indicated in the EMR. Key, interactive re-engagement facilitators experienced by participants, with varied importance across trajectories, included a desire for physical wellness and social support manifested through verbal encouragement, facility outreach or personal facility connections and family instrumental support. The mechanisms through which facilitators led to return were: (1) the promising of living out one's life priorities; (2) feeling valued; (3) fostering interpersonal accountability; (4) re-entry navigation support; (5) facilitated care and treatment access; and (6) management of significant barriers, such as depression., Conclusions: While preliminary, the identified trajectories may guide interventions to support re-engagement, such as offering flexible ART access to patients with intermittent engagement patterns instead of stable patients only. Further, for re-engagement interventions to achieve impact, they must activate mechanisms underlying re-engagement behaviours. For example, facility outreach that reminds a patient to return to care but does not affirm a patient's value or navigate re-entry is unlikely to be effective. The demonstrated importance of positive health facility connections reinforces a growing call for patient-centred care. Additionally, interventions should consider the important role communities play in fostering treatment motivation and overcoming practical barriers., (© 2023 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)
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- 2023
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13. 'I need time to start antiretroviral therapy': understanding reasons for delayed ART initiation among people diagnosed with HIV in Lusaka, Zambia'.
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Mwamba C, Beres LK, Topp SM, Mukamba N, Simbeza S, Sikombe K, Mody A, Geng E, Holmes CB, Kennedy CE, Sikazwe I, Denison JA, and Bolton Moore C
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- Adult, Counseling, Humans, Qualitative Research, Zambia, Anti-HIV Agents adverse effects, HIV Infections drug therapy
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Introduction: Rapid antiretroviral therapy (ART) initiation can improve patient outcomes such as viral suppression and prevent new infections. However, not everyone who can start ART does so immediately., Methods: We conducted a qualitative study to inform interventions supporting rapid initiation in the 'Test and Start' era. We purposively sampled 20 adult patients living with HIV and a previous gap in care from ten health facilities in Lusaka, Zambia for interviews. We inductively analysed transcripts using a thematic, narrative approach. In their narratives, seven participants discussed delaying ART initiation., Results: Drawing on messages gleaned from facility-based counselling and community information, many cited greater fear of rapid sickness or death due to imperfect adherence or treatment side effects than negative health consequences due to delayed initiation. Participants described needing time to 'prepare' their minds for a lifetime treatment commitment. Concerns about inadvertent HIV status disclosure during drug collection discouraged immediate initiation, as did feeling healthy, and worries about the impact of ART initiation on relationship dynamics., Conclusion: Findings suggest that counselling messages should accurately communicate treatment risks, without perpetuating fear-based narratives about HIV. Identifying and managing patient-specific concerns and reasons for the 'need for time' may be important for supporting individuals to rapidly accept lifelong treatment.Key messagesFear-based adherence messaging in health facilities about the dangers of missing a treatment dose or changing the time when ART is taken contributes to Zambian patients' refusals of immediate ART initiationResponsive health systems that balance a stated need for time to accept one's diagnosis and prepare to embark on a lifelong treatment plan with interventions to identify and manage patient-specific treatment related fears and concerns may support more rapid ART initiationPerceived social stigma around HIV continues to be a significant challenge for treatment initiation.
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- 2022
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14. HIV care experiences and health priorities during the first wave of COVID-19: clients' perspectives - a qualitative study in Lusaka, Zambia.
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Mukamba N, Sharma A, Mwamba C, Nyirenda H, Foloko M, Lumbo K, Christopoulos K, Simbeza S, Sikombe K, Holmes CB, Geng EH, Sikazwe I, Bolton-Moore C, and Beres LK
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- Humans, Health Priorities, SARS-CoV-2, Zambia epidemiology, Pandemics, Ambulatory Care Facilities, COVID-19, HIV Infections drug therapy, HIV Infections epidemiology
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Background: The novel COVID-19 pandemic threatened to disrupt access to human immunodeficiency (HIV) treatment for persons living with HIV (PLHIV), two-thirds of whom live in sub-Saharan Africa. To inform a health system response supportive of continuity of care, we sought to understand clients' HIV care experiences and health priorities during the first wave of COVID-19 outbreak in Lusaka, Zambia., Methods: Leveraging a study cohort of those who completed periodic SMS surveys on HIV care, we purposefully sampled 25 PLHIV after first confirmed COVID-19 case was reported in Zambia on 18
th March 2020. We phone-interviewed participants, iteratively refining interview guide to capture emergent themes on COVID-19 awareness, health facility interactions, and social circumstances, which we analyzed using matrix analysis., Results: All participants were aware of COVID-19, and HIV care experiences and health priorities of clients were affected by associated changes at health system, household, and individual level. The health system instituted early clinic visits to provide 6-months of antiretroviral therapy (ART) for stable patients and 3-months for unstable patients to reduce clinic visits and wait times. Most patients welcomed this long-desired extended appointment spacing. Some reported feeling respected and engaged when health care workers telephoned requesting their early clinic visit. However, others felt discouraged by an absence of physical distancing during their clinic visit due to 'severe acute respiratory syndrome coronavirus 2' (SARS-CoV-2) infection concerns. Several expressed a lack of clarity regarding next viral load monitoring date and means for receiving results. Patients suggested regular patient-facility communication by telephone and SMS. Patients emphasized that COVID-19 restrictions led to loss of employment and household income, exacerbating poverty and difficulties in taking ART. At individual level, most participants felt motivated to stay healthy during COVID-19 by ART adherence and regular laboratory monitoring., Conclusions: Clients' HIV care and health priorities during the first wave of COVID-19 in Lusaka province were varied with a combination of positive and negative experiences that occurred especially at health system and individual levels, while at household level, the experiences were all negative. More research is needed to understand how patients practice resiliency in the widespread context of socio-economic instability. Governments and patients must work together to find local, health systems solutions to support ART adherence and monitoring. Additionally, the health system should consider how to build on changes for long-term HIV management and service delivery., (© 2022. The Author(s).)- Published
- 2022
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15. "Provider discretionary power practices to support implementation of patient-centered HIV care in Lusaka, Zambia".
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Mwamba C, Mukamba N, Sharma A, Lumbo K, Foloko M, Nyirenda H, Simbeza S, Sikombe K, Holmes CB, Sikazwe I, Moore CB, Mody A, Geng E, and Beres LK
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Introduction: Traditional patient-provider relationships privilege the providers, as they possess the formal authority and clinical knowledge applied to address illness, but providers also have discretion over how they exercise their power to influence patients' services, benefits, and sanctions. In this study, we assessed providers' exercise of discretionary power in implementing patient-centered care (PCC) practices in Lusaka, Zambia., Methods: HIV clinical encounters between patients on antiretroviral therapy (ART) and providers across 24 public health facilities in Lusaka Province were audio recorded and transcribed verbatim. Using qualitative content analysis, we identified practices of discretionary power (DP) employed in the implementation of PCC and instances of withholding DP. A codebook of DP practices was inductively and iteratively developed. We compared outcomes across provider cadres and within sites over time., Results: We captured 194 patient-provider interactions at 24 study sites involving 11 Medical Officers, 58 Clinical Officers and 10 Nurses between August 2019 to May 2021. Median interaction length was 7.5 min. In a hierarchy where providers dominate patients and interactions are rapid, some providers invited patients to ask questions and responded at length with information that could increase patient understanding and agency. Others used inclusive language, welcomed patients, conducted introductions, and apologized for delayed services, narrowing the hierarchical distance between patient and provider, and facilitating recognition of the patient as a partner in care. Although less common, providers shared their decision-making powers, allowing patients to choose appointment dates and influence regimens. They also facilitated resource access, including access to services and providers outside of scheduled appointment times. Application of DP was not universal and missed opportunities were identified., Conclusion: Supporting providers to recognize their power and intentionally share it is both inherent to the practice of PCC (e.g., making a patient a partner), and a way to implement improved patient support. More research is needed to understand the application of DP practices in improving the patient-centeredness of care in non-ART settings., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Mwamba, Mukamba, Sharma, Lumbo, Foloko, Nyirenda, Simbeza, Sikombe, Holmes, Sikazwe, Moore, Mody, Geng and Beres.)
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- 2022
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16. Mitigating the effects of COVID-19 on HIV treatment and care in Lusaka, Zambia: a before-after cohort study using mixed effects regression.
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Pry JM, Sikombe K, Mody A, Iyer S, Mutale J, Vlahakis N, Savory T, Wa Mwanza M, Mweebo K, Mwila A, Mwale C, Mukumbwa-Mwenechanya M, Kerkhoff AD, Sikazwe I, Bolton Moore C, Mwamba D, Geng EH, and Herce ME
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- Adult, Cohort Studies, Female, Humans, Male, SARS-CoV-2, Zambia epidemiology, COVID-19, HIV Infections drug therapy, HIV Infections epidemiology
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Introduction: The Zambian Ministry of Health (MoH) issued COVID-19 mitigation guidance for HIV care immediately after the first COVID-19 case was confirmed in Zambia on 18 March 2020. The Centre for Infectious Disease Research in Zambia implemented MoH guidance by: 1) extending antiretroviral therapy (ART) refill duration to 6 multi-month dispensation (6MMD) and 2) task-shifting communication and mobilisation of those in HIV care to collect their next ART refill early. We assessed the impact of COVID-19 mitigation guidance on HIV care 3 months before and after guidance implementation., Methods: We reviewed all ART pharmacy visit data in the national HIV medical record for PLHIV in care having ≥1 visit between 1 January-30 June 2020 at 59 HIV care facilities in Lusaka Province, Zambia. We undertook a before-after evaluation using mixed-effects Poisson regression to examine predictors and marginal probability of early clinic return (pharmacy visit >7 days before next appointment), proportion of late visit (>7 days late for next appointment) and probability of receiving a 6MMD ART refill., Results: A total of 101 371 individuals (64% female, median age 39) with 130 486 pharmacy visits were included in the analysis. We observed a significant increase in the adjusted prevalence ratio (4.63; 95% CI 4.45 to 4.82) of early return before compared with after guidance implementation. Receipt of 6MMD increased from a weekly mean of 47.9% (95% CI 46.6% to 49.2%) before to 73.4% (95% CI 72.0% to 74.9%) after guidance implementation. The proportion of late visits (8-89 days late) was significantly higher before (18.8%, 95% CI17.2%to20.2%) compared with after (15.1%, 95% CI13.8%to16.4%) guidance implementation ., Conclusions: Timely issuance and implementation of COVID-19 mitigation guidance involving task-shifted patient communication and mobilisation alongside 6MMD significantly increased early return to ART clinic, potentially reducing interruptions in HIV care during a global public health emergency., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2022
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17. Effects of implementing universal and rapid HIV treatment on initiation of antiretroviral therapy and retention in care in Zambia: a natural experiment using regression discontinuity.
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Mody A, Sikazwe I, Namwase AS, Wa Mwanza M, Savory T, Mwila A, Mulenga L, Herce ME, Mweebo K, Somwe P, Eshun-Wilson I, Sikombe K, Beres LK, Pry J, Holmes CB, Bolton-Moore C, and Geng EH
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- Adult, CD4 Lymphocyte Count, Female, Humans, Zambia epidemiology, Anti-HIV Agents therapeutic use, HIV Infections drug therapy, Retention in Care
- Abstract
Background: Universal testing and treatment (UTT) for all people living with HIV has only been assessed under experimental conditions in cluster-randomised trials. The public health effectiveness of UTT policies on the HIV care cascade under real-world conditions is not known. We assessed the real-world effectiveness of universal HIV treatment policies that were implemented in Zambia on Jan 1, 2017., Methods: We used data from Zambia's routine electronic health record system to analyse antiretroviral therapy (ART)-naive adults who newly enrolled in HIV care up to 1 year before and after the implementation of universal treatment (ie, Jan 1, 2016, to Jan 1, 2018) at 117 clinics supported by the Centre for Infectious Disease Research in Zambia. We used a regression discontinuity design to estimate the effects of implementing UTT on same-day ART initiation, ART initiation within 1 month, and retention on ART at 12 months (defined as clinic attendance 9-15 months after enrolment and at least 6 months on ART), under the assumption that patients presenting immediately before and after UTT implementation were balanced on both measured and unmeasured characteristics. We did an instrumental variable analysis to estimate the effect of same-day ART initiation under routine conditions on 12-month retention on ART., Findings: 65 673 newly enrolled patients with HIV (40 858 [62·2%] female, median age 32 years [IQR 26-39], median CD4 count 287 cells per μL [IQR 147-466]) were eligible for inclusion in the analyses; 31 145 enrolled before implementation of UTT, and 34 528 enrolled after UTT. Implementation of universal treatment increased same-day ART initiation from 41·7% to 74·8% (risk difference [RD] 33·1%, 95% CI 30·5-35·7), ART initiation by 1 month from 69·6% to 87·0% (RD 17·4%, 15·5-19·3), and 12-month retention on ART from 56·2% to 63·3% (RD 7·1%, 4·3-9·9). ART initiation rates became more uniform across patient subgroups after implementation of universal treatment, but heterogeneity in 12-month retention on ART between subgroups was unchanged. Instrumental variable analyses indicated that same-day ART initiation in routine settings led to a 15·8% increase (95% CI 12·1-19·5) in 12-month retention on ART., Interpretation: UTT policies implemented in Zambia increased the rapidity and uptake of ART, as well as retention on ART at 12 months, although overall retention on ART remained suboptimal. UTT policies reduced disparities in treatment initiation, but not 12-month retention on ART. Natural experiments reveal both the anticipated and unanticipated effects of real-world implementation and indicate the need for new strategies leveraging the short-term effects of UTT to cultivate long-term treatment success., Funding: National Institutes of Health., Competing Interests: Declaration of interests AMo and EHG report funding from the US National Institutes of Health (NIH) during the conduct of this study. IS, MWM, TS, MEH, and CB-M report support from the US President's Emergency Plan for AIDS Relief (PEPFAR) through the CDC during the conduct of this study. IS, CB-M, IE-W, CBH, CB-M, and EHG report grants from the Bill & Melinda Gates Foundation outside the submitted work. EHG reports educational grants from ViiV Healthcare outside the submitted work. CBH reports consulting for the Bill & Melinda Gates Foundation and support for participating in an expert panel from Merck outside the submitted work. All other authors declare no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)
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- 2021
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18. The effect of tracer contact on return to care among adult, "lost to follow-up" patients living with HIV in Zambia: an instrumental variable analysis.
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Beres LK, Mody A, Sikombe K, Nicholas LH, Schwartz S, Eshun-Wilson I, Somwe P, Simbeza S, Pry JM, Kaumba P, McGready J, Holmes CB, Bolton-Moore C, Sikazwe I, Denison JA, and Geng EH
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- Cohort Studies, Humans, Prospective Studies, Zambia epidemiology, HIV Infections diagnosis, HIV Infections drug therapy, Lost to Follow-Up
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Introduction: Tracing patients lost to follow-up (LTFU) from HIV care is widely practiced, yet we have little knowledge of its causal effect on care engagement. In a prospective, Zambian cohort, we examined the effect of tracing on return to care within 2 years of LTFU., Methods: We traced a stratified, random sample of LTFU patients who had received HIV care between August 2013 and July 2015. LTFU was defined as a gap of >90 days from last scheduled appointment in the routine electronic medical record. Extracting 2 years of follow-up visit data through 2017, we identified patients who returned. Using random selection for tracing as an instrumental variable (IV), we used conditional two-stage least squares regression to estimate the local average treatment effect of tracer contact on return. We examined the observational association between tracer contact and return among patient sub-groups self-confirmed as disengaged from care., Results: Of the 24,164 LTFU patients enumerated, 4380 were randomly selected for tracing and 1158 were contacted by a tracer within a median of 14.8 months post-loss. IV analysis found that patients contacted by a tracer because they were randomized to tracing were no more likely to return than those not contacted (adjusted risk difference [aRD]: 3%, 95% CI: -2%, 8%, p = 0.23). Observational data showed that among contacted, disengaged patients, the rate of return was higher in the week following tracer contact (IR 5.74, 95% CI: 3.78-8.71) than in the 2 weeks to 1-month post-contact (IR 2.28, 95% CI: 1.40-3.72). There was a greater effect of tracing among patients lost for >6 months compared to those contacted within 3 months of loss., Conclusions: Overall, tracer contact did not causally increase LTFU patient return to HIV care, demonstrating the limited impact of tracing in this program, where contact occurred months after patients were LTFU. However, observational data suggest that tracing may speed return among some LTFU patients genuinely out-of-care. Further studies may improve tracing effectiveness by examining the mechanisms underlying the impact of tracing on return to care, the effect of tracing at different times-since-loss and using more accurate identification of patients who are truly disengaged to target tracing., (© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)
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- 2021
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19. Patient-reported Reasons for Stopping Care or Switching Clinics in Zambia: A Multisite, Regionally Representative Estimate Using a Multistage Sampling-based Approach in Zambia.
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Sikazwe I, Eshun-Wilson I, Sikombe K, Beres LK, Somwe P, Mody A, Simbeza S, Bukankala C, Glidden DV, Mulenga LB, Padian N, Ehrenkranz P, Bolton-Moore C, Holmes CB, and Geng EH
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- Adult, Electronic Health Records, Female, Humans, Lost to Follow-Up, Male, Patient Reported Outcome Measures, Zambia epidemiology, Anti-HIV Agents therapeutic use, HIV Infections drug therapy, HIV Infections epidemiology
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Background: Understanding patient-reported reasons for lapses of retention in human immunodeficiency virus (HIV) treatment can drive improvements in the care cascade. A systematic assessment of outcomes among a random sample of patients lost to follow-up (LTFU) from 32 clinics in Zambia to understand the reasons for silent transfers and disengagement from care was undertaken., Methods: We traced a simple random sample of LTFU patients (>90 days from last scheduled visit) as determined from clinic-based electronic medical records from a probability sample of facilities. Among patients found in person, we solicited reasons for either stopping or switching care and predictors for re-engagement. We coded reasons into structural, psychosocial, and clinic-based barriers., Results: Among 1751 LTFU patients traced and found alive, 31% of patients starting antiretroviral therapy (ART) between 1 July 2013 and 31 July 2015 silently transferred or were disengaged (40% male; median age, 35 years; median CD4 level, 239 cells/μL); median time on ART at LTFU was 480 days (interquartile range, 110-1295). Among the 544 patients not in care, median prevalences for patient-reported structural, psychosocial, and clinic-level barriers were 27.3%, 13.9%, and 13.4%, respectively, and were highly variable across facilities. Structural reasons, including, "relocated to a new place" were mostly cited among 289 patients who silently transferred (35.5%). We found that men were less likely to re-engage in care than women (odds ratio, .39; 95% confidence interval, .22-.67; P = .001)., Conclusions: Efforts to improve retention of patients on ART may need to be tailored at the facility level to address patient-reported barriers., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)
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- 2021
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20. Novel Longitudinal Methods for Assessing Retention in Care: a Synthetic Review.
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Mody A, Tram KH, Glidden DV, Eshun-Wilson I, Sikombe K, Mehrotra M, Pry JM, and Geng EH
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- Cross-Sectional Studies, Humans, HIV Infections drug therapy, Retention in Care
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Purpose of Review: Retention in care is both dynamic and longitudinal in nature, but current approaches to retention often reduce these complex histories into cross-sectional metrics that obscure the nuanced experiences of patients receiving HIV care. In this review, we discuss contemporary approaches to assessing retention in care that captures its dynamic nature and the methodological and data considerations to do so., Recent Findings: Enhancing retention measurements either through patient tracing or "big data" approaches (including probabilistic matching) to link databases from different sources can be used to assess longitudinal retention from the perspective of the patient when they transition in and out of care and access care at different facilities. Novel longitudinal analytic approaches such as multi-state and group-based trajectory analyses are designed specifically for assessing metrics that can change over time such as retention in care. Multi-state analyses capture the transitions individuals make in between different retention states over time and provide a comprehensive depiction of longitudinal population-level outcomes. Group-based trajectory analyses can identify patient subgroups that follow distinctive retention trajectories over time and highlight the heterogeneity of retention patterns across the population. Emerging approaches to longitudinally measure retention in care provide nuanced assessments that reveal unique insights into different care gaps at different time points over an individuals' treatment. These methods help meet the needs of the current scientific agenda for retention and reveal important opportunities for developing more tailored interventions that target the varied care challenges patients may face over the course of lifelong treatment., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2021
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21. Patterns and Predictors of Incident Return to HIV Care Among Traced, Disengaged Patients in Zambia: Analysis of a Prospective Cohort.
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Beres LK, Schwartz S, Simbeza S, McGready J, Eshun-Wilson I, Mwamba C, Sikombe K, Topp SM, Somwe P, Mody A, Mukamba N, Ehrenkranz PD, Padian N, Pry J, Moore CB, Holmes CB, Sikazwe I, Denison JA, and Geng E
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- Adolescent, Adult, Anti-Retroviral Agents therapeutic use, Female, Humans, Incidence, Kaplan-Meier Estimate, Lost to Follow-Up, Male, Middle Aged, Prevalence, Proportional Hazards Models, Prospective Studies, Risk Factors, Rural Population, Young Adult, Zambia epidemiology, HIV Infections diagnosis, HIV Infections drug therapy, HIV Infections epidemiology
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Background: Dynamic movement of patients in and out of HIV care is prevalent, but there is limited information on patterns of patient re-engagement or predictors of return to guide HIV programs to better support patient engagement., Methods: From a probability-based sample of lost to follow-up, adult patients traced by peer educators from 31 Zambian health facilities, we prospectively followed disengaged HIV patients for return clinic visits. We estimated the cumulative incidence of return and the time to return using Kaplan-Meier methods. We used univariate and multivariable Cox proportional hazards regression to conduct a risk factor analysis identifying predictors of incident return across a social ecological framework., Results: Of the 556 disengaged patients, 73.0% [95% confidence interval (CI): 61.0 to 83.8] returned to HIV care. The median follow-up time from disengagement was 32.3 months (interquartile range: 23.6-38.9). The rate of return decreased with time postdisengagement. Independent predictors of incident return included a previous gap in care [adjusted Hazard Ratio (aHR): 1.95, 95% CI: 1.23 to 3.09] and confronting a stigmatizer once in the past year (aHR: 2.14, 95% CI: 1.25 to 3.65). Compared with a rural facility, patients were less likely to return if they sought care from an urban facility (aHR: 0.68, 95% CI: 0.48 to 0.96) or hospital (aHR: 0.52, 95% CI: 0.33 to 0.82)., Conclusions: Interventions are needed to hasten re-engagement in HIV care. Early and differential interventions by time since disengagement may improve intervention effectiveness. Patients in urban and tertiary care settings may need additional support. Improving patient resilience, outreach after a care gap, and community stigma reduction may facilitate return. Future re-engagement research should include causal evaluation of identified factors., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2021
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22. Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis.
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Mody A, Sikombe K, Beres LK, Simbeza S, Mukamba N, Eshun-Wilson I, Schwartz S, Pry J, Padian N, Holmes CB, Bolton-Moore C, Sikazwe I, and Geng EH
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- Adult, Female, Humans, Latent Class Analysis, Lost to Follow-Up, Male, Middle Aged, Phenotype, Retention in Care, Sampling Studies, Travel, Zambia epidemiology, Anti-HIV Agents therapeutic use, HIV Infections drug therapy
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Background: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles., Methods: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site)., Results: Among 547 patients, we identified 5 profiles of care disruptions: (1) "Livelihood and Mobility" (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) "Clinic Accessibility" (28.9%) reported challenges with attending clinic; (3) "Mobility and Family" (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) "Doubting Need for HIV care" (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) "Multidimensional Barriers to Care" (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The "Doubting Need for HIV Care" class were mostly disengaged (97.9%), followed by the "Multidimensional Barriers to Care" (62.8%), "Clinic Accessibility" (62.4%), "Livelihood and Mobility" (43.6%), and "Mobility and Family" (23.5%) classes., Conclusion: There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes.
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- 2021
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23. Longitudinal Care Cascade Outcomes Among People Eligible for Antiretroviral Therapy Who Are Newly Linking to Care in Zambia: A Multistate Analysis.
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Mody A, Glidden DV, Eshun-Wilson I, Sikombe K, Simbeza S, Mukamba N, Somwe P, Beres LK, Pry J, Bolton-Moore C, Padian N, Holmes CB, Sikazwe I, and Geng EH
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- Adult, Electronic Health Records, Female, Humans, Lost to Follow-Up, Male, Survival Analysis, Zambia epidemiology, Anti-HIV Agents therapeutic use, HIV Infections drug therapy, HIV Infections epidemiology
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Background: Retention in human immunodeficiency virus (HIV) care is dynamic, with patients frequently transitioning in and out of care. Analytical approaches (eg, survival analyses) commonly used to assess HIV care cascade outcomes fail to capture such transitions and therefore incompletely represent care outcomes over time., Methods: We analyzed antiretroviral therapy (ART)-eligible adults newly linking to care at 64 clinics in Zambia between 1 April 2014 and 31 July 2015. We used electronic medical record data and supplemented these with updated care outcomes ascertained by tracing a multistage random sample of patients lost to follow-up (LTFU, >90 days late for last appointment). We performed multistate analyses, incorporating weights from sampling, to estimate the prevalence of 9 care states over time since linkage with respect to ART initiation, retention in care, transfers, and mortality., Results: In sum, 23 227 patients (58% female; median age 34 years [interquartile range 28-41]) were ART-eligible at enrollment. At 1 year, 75.2% had initiated ART and were in care: 61.8% were continuously retained, 6.1% had reengaged after LTFU, and 7.3% had transferred. Also, 10.1% were LTFU within 7 days of enrollment, and 15.2% were LTFU at 1 year (6.7% prior to ART). One year after LTFU, 51.6% of those LTFU prior to ART remained out of care compared to 30.2% of those LTFU after initiating ART. Overall, 6.9% of patients had died by 1 year with 3.0% dying prior to ART., Conclusion: Multistate analyses provide more complete assessments of longitudinal HIV cascade outcomes and reveal treatment gaps at distinct timepoints in care that will still need to be addressed even with universal treatment., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)
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- 2020
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24. Understanding patient transfers across multiple clinics in Zambia among HIV infected adults.
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Sikombe K, Mody A, Kadota J, Pry JJ, Simbeza S, Eshun-Wilson I, Situmbeko SR, Bukankala C, Beres L, Mukamba N, Wa Mwanza M, Bolton-Moore C, Holmes CB, Geng EH, and Sikazwe I
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- Adult, Antiretroviral Therapy, Highly Active, Female, Geography, HIV Infections drug therapy, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Multivariate Analysis, Time Factors, Zambia epidemiology, HIV Infections epidemiology, Patient Transfer
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Many patients in HIV care in Africa considered lost to follow up (LTFU) at one facility are reportedly accessing care in another. The success of these unofficial transfers as measured by time to re-entry at the new-facility, prevalence of treatment interruptions, speed of ART-initiation, and overall continuity of care is not well characterized but may reveal opportunities for improvement. We traced a random sample of LTFU HIV-infected patients in Zambia. Among those found alive and reported in care at a new-facility, we reviewed records at the receiving facility to verify transfer; and when verified, documented the transfer experience. We used Kaplan-Meier methods to examine incidence of ART-initiation after transfer to new clinic. We assessed demographic and clinical characteristics, official and cross-provincial transfer for associations with HIV treatment re-engagement using Poisson regression models and associations between official-transfer and same-day ART initiation at the new-facility. Among 350 LTFU-patients, 178 (51%) were successfully verified through chart review at the new-facility. 132 (74.2%) were female, 72 (40.4%) aged 25-35, and 51% were ever recorded as previously being on ART. 110 patients (61.8%) were registered under new ART-IDs and 97 (54.5%) received a new HIV test. 54% of those previously on ART-initiated on the same-day. Using the same ART-ID was associated with same-day initiation compared to those receiving a new ART-ID (p = 0.07). 80% (n = 91) of those ever on ART had evidence of medication initiation at new clinic. Among these, initiation reached 66% (95% CI: 56-75) by 30 days, 77.5% (95% CI: 68-86) by 90 days after new-facility presentation. Many patients use new identifiers at new facilities, indicative of inefficiencies. Re-entry into new facilities among the unofficial-transfer population is often delayed and timely treatment initiation is inconsistent, suggesting interruptions in treatment. Health systems innovations to ensure smooth and safe transfers are needed to maintain quality HIV care., Competing Interests: The authors have declared that no competing interests exist.
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- 2020
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25. How might improved estimates of HIV programme outcomes influence practice? A formative study of evidence, dissemination and response.
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Mukamba N, Beres LK, Mwamba C, Law JW, Topp SM, Simbeza S, Sikombe K, Padian N, Holmes CB, Geng EH, and Sikazwe I
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- Administrative Personnel, Government Programs, Humans, Zambia, HIV Infections drug therapy
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Background: While HIV programmes have started millions of persons on life-saving antiretroviral therapy in Africa, longitudinal health information systems are frail and, therefore, data about long-term survival is often inaccurate or unknown to HIV programmes. The 'Better Information for Health in Zambia' (BetterInfo) Study - a regional sampling-based survey to assess retention and mortality in HIV programmes in Zambia - found both retention and mortality to be higher than prevailing estimates from national surveillance systems. We sought to understand how Zambian health decision-makers at different health system levels would respond to these new data, with a view to informing research translation., Methods: We interviewed 25 purposefully sampled health decision-makers from community, facility, district, provincial and national levels. During the interviews, we shared retention and mortality estimates from both routine programme surveillance and those generated by the study. Transcripts were analysed for inductive and deductive themes, the latter drawing on Weiss's framework that policy-makers interpret and apply evidence as 'warning', 'guidance', 'reconceptualisation' or 'mobilisation of support'., Findings: All decision-makers found study findings relevant and important. Decision-makers viewed the underestimates of mortality to be a warning about the veracity and informativeness of routine data systems. Decision-makers felt guided by the findings to improve data monitoring and, acknowledging limitations of routine data, utilised episodic patient tracing to support improved data accuracy. Findings catalysed renewed motivation and mobilisation by national level decision-makers for differentiated models of HIV care to improve patient outcomes and also improved data management systems to better capture patient outcomes. Inductive analysis highlighted a programmatic application data interpretation, in which study findings can influence facility and patient-level decision-making, quality of care and routine data management., Conclusions: New epidemiological data on patient outcomes were widely seen as informative and relevant and can potentially catalyse health system action such as using evaluations to supplement electronic medical record data to improve HIV programmes. Formative evidence suggests that targeting research dissemination at different levels of the health system will elicit different responses. Researchers supporting the translation of evidence to action should leverage all relevant levels of the health system to facilitate both policy and programmatic action.
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- 2020
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26. Mortality estimates by age and sex among persons living with HIV after ART initiation in Zambia using electronic medical records supplemented with tracing a sample of lost patients: A cohort study.
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Kerkhoff AD, Sikombe K, Eshun-Wilson I, Sikazwe I, Glidden DV, Pry JM, Somwe P, Beres LK, Simbeza S, Mwamba C, Bukankala C, Hantuba C, Moore CB, Holmes CB, Padian N, and Geng EH
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- Adult, Age Distribution, Aged, Anti-Retroviral Agents therapeutic use, Cohort Studies, Female, Humans, Lost to Follow-Up, Male, Middle Aged, Sex Characteristics, Young Adult, Zambia epidemiology, Anti-HIV Agents therapeutic use, Electronic Health Records, HIV Infections drug therapy, HIV Infections mortality
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Background: Men in sub-Saharan Africa have lower engagement and retention in HIV services compared to women, which may result in differential survival. However, the true magnitude of difference in HIV-related mortality between men and women receiving antiretroviral therapy (ART) is incompletely characterized., Methods and Findings: We evaluated HIV-positive adults ≥18 years old newly initiating ART in 4 Zambian provinces (Eastern, Lusaka, Southern, and Western). In addition to mortality data obtained from routine electronic medical records, we intensively traced a random sample of patients lost to follow-up (LTFU) and incorporated tracing outcomes through inverse probability weights. Sex-specific mortality rates and rate differences were determined using Poisson regression. Parametric g-computation was used to estimate adjusted mortality rates by sex and age. The study included 49,129 adults newly initiated on ART between August 2013 and July 2015; overall, the median age among patients was 35 years, the median baseline CD4 count was 262 cells/μl, and 37.2% were men. Men comprised a smaller proportion of individuals starting ART (37.2% versus 62.8%), tended to be older (median age 37 versus 33 years), and tended to have lower CD4 counts (median 220 versus 289 cells/μl) at the time of ART initiation compared to women. The overall rate of mortality among men was 10.3 (95% CI 8.2-12.4) deaths/100 person-years (PYs), compared to 5.5 (95% CI 4.3-6.8) deaths/100 PYs among women (difference +4.7 [95% CI 2.3-7.2] deaths/100 PYs; p < 0.001). Compared to women in the same age groups, men's mortality rates were particularly elevated among those <30 years old (+6.7 deaths/100 PYs difference), those attending rural health centers (+9.4 deaths/100 PYs difference), those who had an initial CD4 count < 100 cells/μl (+9.2 deaths/100 PYs difference), and those who were unmarried (+8.0 deaths/100 PYs difference). After adjustment for potential confounders and mediators including CD4 count, a substantially higher mortality rate was predicted among men <30 years old compared to women of the same age, while women ≥50 years old had a mortality rate similar to that of age-matched men, but considerably higher than that predicted among young women (<30 years old). No clinically significant differences were evident with respect to rates of facility transfer or care disengagement between men and women. The main study limitations were the inability to successfully ascertain outcomes in all patients selected for tracing and missing clinical and laboratory data due to the use of medical records., Conclusions: In this study, we found that among HIV-positive adults newly initiating ART, mortality among men exceeded mortality among women; disparities were most pronounced among young patients. Older women, however, also experienced high mortality. Specific interventions for men and older women at highest mortality risk are needed to improve HIV treatment outcomes., Competing Interests: Elvin Geng is a member of the Editorial Board of PLOS Medicine. All authors otherwise declare no competing interests.
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- 2020
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27. Patients' Satisfaction with HIV Care Providers in Public Health Facilities in Lusaka: A Study of Patients who were Lost-to-Follow-Up from HIV Care and Treatment.
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Mukamba N, Chilyabanyama ON, Beres LK, Simbeza S, Sikombe K, Padian N, Holmes C, Sikazwe I, Geng E, and Schwartz SR
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- Adolescent, Adult, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Lost to Follow-Up, Male, Middle Aged, Personal Satisfaction, Young Adult, Zambia epidemiology, HIV Infections drug therapy, Patient Satisfaction
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Prognosis among those who are HIV infected has improved but long-term retention is challenging. Health systems may benefit from routinely measuring patient satisfaction which is a potential driver of engagement in HIV care, but it is not often measured in Africa, and Zambia in particular. This study aims to internally validate a patient satisfaction tool, assess satisfaction among patients previously lost-to-follow up (LTFU) from HIV care in Lusaka province and to measure association between patient satisfaction with their original clinic and re-engagement in HIV care. A cross-sectional assessment of satisfaction was conducted by tracing sampled patients drawn from public health facilities. Our findings suggest that satisfaction tool, previously validated in USA, exhibits high internal consistency for measuring patient satisfaction in the Zambian health system. Patient satisfaction with healthcare providers is associated with re-engagement in HIV care. Future interventions on patient-centred care are likely to optimize and support retention in care.
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- 2020
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28. Characterizing the double-sided cascade of care for adolescents living with HIV transitioning to adulthood across Southern Africa.
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Tsondai PR, Sohn AH, Phiri S, Sikombe K, Sawry S, Chimbetete C, Fatti G, Hobbins MA, Technau KG, Rabie H, Bernheimer J, Fox MP, Judd A, Collins IJ, and Davies MA
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- Adolescent, Adult, Africa, Southern epidemiology, Ambulatory Care Facilities, Child, Female, HIV Infections epidemiology, Humans, Male, Young Adult, Anti-HIV Agents administration & dosage, HIV Infections drug therapy
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Introduction: As adolescents and young people living with HIV (AYLH) age, they face a "transition cascade," a series of steps associated with transitions in their care as they become responsible for their own healthcare. In high-income countries, this usually includes transfer from predominantly paediatric/adolescent to adult clinics. In sub-Saharan Africa, paediatric HIV care is mostly provided in decentralized, non-specialist primary care clinics, where "transition" may not necessarily include transfer of care but entails becoming more autonomous for one's HIV care. Using different age thresholds as proxies for when "transition" to autonomy might occur, we evaluated pre- and post-transition outcomes among AYLH., Methods: We included AYLH aged <16 years at enrolment, receiving antiretroviral therapy (ART) within International epidemiology Databases to Evaluate AIDS Southern Africa (IeDEA-SA) sites (2004 to 2017) with no history of transferring care. Using the ages of 16, 18, 20 and 22 years as proxies for "transition to autonomy," we compared the outcomes: no gap in care (≥2 clinic visits) and viral suppression (HIV-RNA <400 copies/mL) in the 12 months before and after each age threshold. Using log-binomial regression, we examined factors associated with no gap in care (retention) in the 12 months post-transition., Results: A total of 5516 AYLH from 16 sites were included at "transition" age 16 (transition-16y), 3864 at 18 (transition-18y), 1463 at 20 (transition-20y) and 440 at 22 years (transition-22y). At transition-18y, in the 12 months pre- and post-transition, 83% versus 74% of AYLH had no gap in care (difference 9.3 (95% confidence interval (CI) 7.8 to 10.9)); while 65% versus 62% were virally suppressed (difference 2.7 (-1.0 to 6.5%)). The strongest predictor of being retained post-transition was having no gap in the preceding year, across all transition age thresholds (transition-16y: adjusted risk ratio (aRR) 1.72; 95% CI (1.60 to 1.86); transition-18y: aRR 1.76 (1.61 to 1.92); transition-20y: aRR 1.75 (1.53 to 2.01); transition-22y: aRR 1.47; (1.21 to 1.78))., Conclusions: AYLH with gaps in care need targeted support to prevent non-retention as they take on greater responsibility for their healthcare. Interventions to increase virologic suppression rates are necessary for all AYLH ageing to adulthood., (© 2020 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)
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- 2020
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29. Human-Centered Design Lessons for Implementation Science: Improving the Implementation of a Patient-Centered Care Intervention.
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Beres LK, Simbeza S, Holmes CB, Mwamba C, Mukamba N, Sharma A, Munamunungu V, Mwachande M, Sikombe K, Bolton Moore C, Mody A, Koyuncu A, Christopoulos K, Jere L, Pry J, Ehrenkranz PD, Budden A, Geng E, and Sikazwe I
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- Attitude of Health Personnel, Humans, Delivery of Health Care organization & administration, HIV Infections therapy, Health Plan Implementation, Implementation Science, Patient-Centered Care organization & administration
- Abstract
Background: Evidence-based HIV interventions often fail to reach anticipated impact due to insufficient utilization in real-world health systems. Human-centered design (HCD) represents a novel approach in tailoring innovations to fit end-users, narrowing the gap between efficacious interventions and impact at scale., Methods: We combined a narrative literature review of HCD in HIV programs with our experience using HCD to redesign an intervention promoting patient-centered care (PCC) practices among health care workers (HCW) in Zambia. We summarize the use and results of HCD in the global HIV response and share case study insights to advance conceptualization of HCD applications., Results: The literature review identified 13 articles (representing 7 studies) on the use of HCD in HIV. All studies featured HCD hallmarks including empathy development, user-driven inquiry, ideation, and iterative refinement. HCD was applied to mHealth design, a management intervention and pre-exposure prophylaxis delivery. Our HCD application addressed a behavioral service delivery target: changing HCW patient-centered beliefs, attitudes, and practices. Through in-depth developer-user interaction, our HCD approach revealed specific HCW support for and resistance to PCC, suggesting intervention revisions to improve feasibility and acceptability and PCC considerations that could inform implementation in transferable settings., Conclusions: As both a research and implementation tool, HCD has potential to improve effective implementation of the HIV response, particularly for product development; new intervention introduction; and complex system interventions. Further research on HCD application strengths and limitations is needed. Those promoting PCC may improve implementation success by seeking out resonance and anticipating the challenges our HCD process identified.
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- 2019
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30. Longitudinal engagement trajectories and risk of death among new ART starters in Zambia: A group-based multi-trajectory analysis.
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Mody A, Eshun-Wilson I, Sikombe K, Schwartz SR, Beres LK, Simbeza S, Mukamba N, Somwe P, Bolton-Moore C, Padian N, Holmes CB, Sikazwe I, and Geng EH
- Subjects
- Adolescent, Adult, Aged, CD4 Lymphocyte Count, Delivery of Health Care, Electronic Health Records, Female, Humans, Incidence, Kaplan-Meier Estimate, Latent Class Analysis, Longitudinal Studies, Male, Middle Aged, Probability, Regression Analysis, Risk, Young Adult, Zambia epidemiology, Anti-Retroviral Agents therapeutic use, HIV Infections drug therapy, HIV Infections mortality, Medication Adherence
- Abstract
Background: Retention in HIV treatment must be improved to advance the HIV response, but research to characterize gaps in retention has focused on estimates from single time points and population-level averages. These approaches do not assess the engagement patterns of individual patients over time and fail to account for both their dynamic nature and the heterogeneity between patients. We apply group-based trajectory analysis-a special application of latent class analysis to longitudinal data-among new antiretroviral therapy (ART) starters in Zambia to identify groups defined by engagement patterns over time and to assess their association with mortality., Methods and Findings: We analyzed a cohort of HIV-infected adults who newly started ART between August 1, 2013, and February 1, 2015, across 64 clinics in Zambia. We performed group-based multi-trajectory analysis to identify subgroups with distinct trajectories in medication possession ratio (MPR, a validated adherence metric based on pharmacy refill data) over the past 3 months and loss to follow-up (LTFU, >90 days late for last visit) among patients with at least 180 days of observation time. We used multinomial logistic regression to identify baseline factors associated with belonging to particular trajectory groups. We obtained Kaplan-Meier estimates with bootstrapped confidence intervals of the cumulative incidence of mortality stratified by trajectory group and performed adjusted Poisson regression to estimate adjusted incidence rate ratios (aIRRs) for mortality by trajectory group. Inverse probability weights were applied to all analyses to account for updated outcomes ascertained from tracing a random subset of patients lost to follow-up as of July 31, 2015. Overall, 38,879 patients (63.3% female, median age 35 years [IQR 29-41], median enrollment CD4 count 280 cells/μl [IQR 146-431]) were included in our cohort. Analyses revealed 6 trajectory groups among the new ART starters: (1) 28.5% of patients demonstrated consistently high adherence and retention; (2) 22.2% showed early nonadherence but consistent retention; (3) 21.6% showed gradually decreasing adherence and retention; (4) 8.6% showed early LTFU with later reengagement; (5) 8.7% had early LTFU without reengagement; and (6) 10.4% had late LTFU without reengagement. Identified groups exhibited large differences in survival: after adjustment, the "early LTFU with reengagement" group (aIRR 3.4 [95% CI 1.2-9.7], p = 0.019), the "early LTFU" group (aIRR 6.4 [95% CI 2.5-16.3], p < 0.001), and the "late LTFU" group (aIRR 4.7 [95% CI 2.0-11.3], p = 0.001) had higher rates of mortality as compared to the group with consistently high adherence/retention. Limitations of this study include using data observed after baseline to identify trajectory groups and to classify patients into these groups, excluding patients who died or transferred within the first 180 days, and the uncertain generalizability of the data to current care standards., Conclusions: Among new ART starters in Zambia, we observed 6 patient subgroups that demonstrated distinctive engagement trajectories over time and that were associated with marked differences in the subsequent risk of mortality. Further efforts to develop tailored intervention strategies for different types of engagement behaviors, monitor early engagement to identify higher-risk patients, and better understand the determinants of these heterogeneous behaviors can help improve care delivery and survival in this population., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: EHG is a member of the Editorial Board of PLOS Medicine. CBH has received grant funding from the Gates Foundation.
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- 2019
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31. Accurate dried blood spots collection in the community using non-medically trained personnel could support scaling up routine viral load testing in resource limited settings.
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Sikombe K, Hantuba C, Musukuma K, Sharma A, Padian N, Holmes C, Czaicki N, Simbeza S, Somwe P, Bolton-Moore C, Sikazwe I, and Geng E
- Subjects
- Adult, Female, HIV Infections diagnosis, HIV Infections virology, HIV-1, Humans, Male, Severity of Illness Index, Viral Load standards, Community Health Services methods, Dried Blood Spot Testing methods, Dried Blood Spot Testing standards, Health Personnel, Health Resources, Specimen Handling methods, Specimen Handling standards, Viral Load methods
- Abstract
Regular plasma HIV-RNA testing for persons living with HIV on antiretroviral therapy (ART) is now the global standard, but as many as 60% of persons in Africa today on ART do not have access to standard laboratory HIV-RNA assays. As a result, patients in Zambia often receive treatment without any means of determining true virologic failure, which poses a risk of premature switch of ART regimens and widespread HIV drug resistance. Dry blood spots (DBS) on the other hand require unskilled personnel and less complex storage supply chain so are ideal to capture viral-load results from HIV patients outside clinic settings. We assess collection of DBS in the community using non-medically trained personnel (NMP) and documented challenges. We trained 23 NMP to collect DBS from lost to follow-up (LTFU) patients in 4 rural and urban Zambian districts. We developed a phlebotomy box to transport DBS without contamination at ambient temperature and concomitant training and standard operating procedures. We evaluated this through field observations, bi-weekly meetings, reports, and staff meetings. The laboratory assessed DBS quality for testing validity. We attempted to collect DBS from 357 participants in the community. Though individual reasons for refusal from the remaining 37% were not collected, NMPs reported privacy concerns, awkward box-size which drew attention in the community and fears of undisclosed uses of samples related to witchcraft and circulating narratives about past research. Successful DBS collection was not associated with patient gender, age, time on ART, enrolment CD4, facility. DBS viral-load collection by NMP is feasible in Zambia. Our training approach and assessments of NMP not part of the health system can be extended to patients by giving them more responsibility to manage their own differentiated care groups. Concerted efforts that compare collection of DBS by NMP to those collected by skilled-medical personnel are needed., Competing Interests: The authors have declared that no competing interests exist.
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- 2019
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32. Correction: Retention and viral suppression in a cohort of HIV patients on antiretroviral therapy in Zambia: Regionally representative estimates using a multistage-sampling-based approach.
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Sikazwe I, Eshun-Wilson I, Sikombe K, Czaicki N, Somwe P, Mody A, Simbeza S, Glidden DV, Chizema E, Mulenga LB, Padian N, Duncombe CJ, Bolton-Moore C, Beres LK, Holmes CB, and Geng E
- Abstract
[This corrects the article DOI: 10.1371/journal.pmed.1002811.].
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33. Retention and viral suppression in a cohort of HIV patients on antiretroviral therapy in Zambia: Regionally representative estimates using a multistage-sampling-based approach.
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Sikazwe I, Eshun-Wilson I, Sikombe K, Czaicki N, Somwe P, Mody A, Simbeza S, Glidden DV, Chizema E, Mulenga LB, Padian N, Duncombe CJ, Bolton-Moore C, Beres LK, Holmes CB, and Geng E
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- Adult, Electronic Health Records, Female, HIV genetics, HIV growth & development, HIV Infections diagnosis, HIV Infections mortality, Humans, Lost to Follow-Up, Male, Medication Adherence, Prevalence, Program Evaluation, RNA, Viral blood, Sampling Studies, Time Factors, Treatment Outcome, Viral Load, Zambia epidemiology, Anti-HIV Agents therapeutic use, HIV drug effects, HIV Infections drug therapy, Retention in Care
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Background: Although the success of HIV treatment programs depends on retention and viral suppression, routine program monitoring of these outcomes may be incomplete. We used data from the national electronic medical record (EMR) system in Zambia to enumerate a large and regionally representative cohort of patients on treatment. We traced a random sample with unknown outcomes (lost to follow-up) to document true care status and HIV RNA levels., Methods and Findings: On 31 July 2015, we selected facilities from 4 provinces in 12 joint strata defined by facility type and province with probability proportional to size. In each facility, we enumerated adults with at least 1 clinical encounter after treatment initiation in the previous 24 months. From this cohort, we identified lost-to-follow-up patients (defined as 90 or more days late for their last appointment), selected a random sample, and intensively reviewed their records and traced them via phone calls and in-person visits in the community. In 1 of 4 provinces, we also collected dried blood spots (DBSs) for plasma HIV RNA testing. We used inverse probability weights to incorporate sampling outcomes into Aalen-Johansen and Cox proportional hazards regression to estimate retention and viremia. We used a bias analysis approach to correct for the known inaccuracy of plasma HIV RNA levels obtained from DBSs. From a total of 64 facilities with 165,464 adults on ART, we selected 32 facilities with 104,966 patients, of whom 17,602 (17%) were lost to follow-up: Those lost to follow-up had median age 36 years, 60% were female (N = 11,241), they had median enrollment CD4 count of 220 cells/μl, and 38% had WHO stage 1 clinical disease (N = 10,690). We traced 2,892 (16%) and found updated outcomes for 2,163 (75%): 412 (19%) had died, 836 (39%) were alive and in care at their original clinic, 457 (21%) had transferred to a new clinic, 255 (12%) were alive and out of care, and 203 (9%) were alive but we were unable to determine care status. Estimates using data from the EMR only suggested that 42.7% (95% CI 38.0%-47.1%) of new ART starters and 72.3% (95% CI 71.8%-73.0%) of all ART users were retained at 2 years. After incorporating updated data through tracing, we found that 77.3% (95% CI 70.5%-84.0%) of new initiates and 91.2% (95% CI 90.5%-91.8%) of all ART users were retained (at original clinic or transferred), indicating that routine program data underestimated retention in care markedly. In Lusaka Province, HIV RNA levels greater than or equal to 1,000 copies/ml were present in 18.1% (95% CI 14.0%-22.3%) of patients in care, 71.3% (95% CI 58.2%-84.4%) of lost patients, and 24.7% (95% CI 21.0%-29.3%). The main study limitations were imperfect response rates and the use of self-reported care status., Conclusions: In this region of Zambia, routine program data underestimated retention, and the point prevalence of unsuppressed HIV RNA was high when lost patients were accounted for. Viremia was prevalent among patients who unofficially transferred: Sustained engagement remains a challenge among HIV patients in Zambia, and targeted sampling is an effective strategy to identify such gaps in the care cascade and monitor programmatic progress., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: EHG is a member of the Editorial Board of PLOS Medicine.
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- 2019
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34. Understanding preferences for HIV care and treatment in Zambia: Evidence from a discrete choice experiment among patients who have been lost to follow-up.
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Zanolini A, Sikombe K, Sikazwe I, Eshun-Wilson I, Somwe P, Bolton Moore C, Topp SM, Czaicki N, Beres LK, Mwamba CP, Padian N, Holmes CB, and Geng EH
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- Adult, Female, Humans, Logistic Models, Male, Time Factors, Zambia, Ambulatory Care, Antiretroviral Therapy, Highly Active methods, Attitude of Health Personnel, Choice Behavior, HIV Infections therapy, Lost to Follow-Up, Patient Preference, Retention in Care
- Abstract
Background: In public health HIV treatment programs in Africa, long-term retention remains a challenge. A number of improvement strategies exist (e.g., bring services closer to home, reduce visit frequency, expand hours of clinic operation, improve provider attitude), but implementers lack data about which to prioritize when resource constraints preclude implementing all. We used a discrete choice experiment (DCE) to quantify preferences for a number of potential clinic improvements to enhance retention., Methods and Findings: We sought a random sample of HIV patients who were lost to follow-up (defined as >90 days late for their last scheduled appointment) from treatment facilities in Lusaka Province, Zambia. Among those contacted, we asked patients to choose between 2 hypothetical clinics in which the following 5 attributes of those facilities were varied: waiting time at the clinic (1, 3, or 5 hours), distance from residence to clinic (5, 10, or 20 km), ART supply given at each refill (1, 3, or 5 months), hours of operation (morning only, morning and afternoon, or morning and Saturday), and staff attitude ("rude" or "nice"). We used mixed-effects logistic regression to estimate relative utility (i.e., preference) for each attribute level. We calculated how much additional waiting time or travel distance patients were willing to accept in order to obtain other desired features of care. Between December 9, 2015 and May 31, 2016, we offered the survey to 385 patients, and 280 participated (average age 35; 60% female). Patients exhibited a strong preference for nice as opposed to rude providers (relative utility of 2.66; 95% CI 1.9-3.42; p < 0.001). In a standard willingness to wait or willingness to travel analysis, patients were willing to wait 19 hours more or travel 45 km farther to see nice rather than rude providers. An alternative analysis, in which trade-offs were constrained to values actually posed to patients in the experiment, suggested that patients were willing to accept a facility located 10 km from home (as opposed to 5) that required 5 hours of waiting per visit (as opposed to 1 hour) and that dispensed 3 months of medications (instead of 5) in order to access nice (as opposed to rude) providers. This study was limited by the fact that attributes included in the experiment may not have captured additional important determinants of preference., Conclusions: In this study, patients were willing to expend considerable time and effort as well as accept substantial inconvenience in order to access providers with a nice attitude. In addition to service delivery redesign (e.g., differentiated service delivery models), current improvement strategies should also prioritize improving provider attitude and promoting patient centeredness-an area of limited policy attention to date., Competing Interests: I have read the journal’s policy, and the authors of this manuscript have the following competing interests: EHG is a member of the Editorial Board of PLOS Medicine. The remaining authors have declared that no competing interests exist.
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- 2018
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35. Estimating the real-world effects of expanding antiretroviral treatment eligibility: Evidence from a regression discontinuity analysis in Zambia.
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Mody A, Sikazwe I, Czaicki NL, Wa Mwanza M, Savory T, Sikombe K, Beres LK, Somwe P, Roy M, Pry JM, Padian N, Bolton-Moore C, Holmes CB, and Geng EH
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- Guidelines as Topic, Regression Analysis, Treatment Outcome, Zambia, Anti-Retroviral Agents therapeutic use, HIV Infections drug therapy
- Abstract
Background: Although randomized trials have established the clinical efficacy of treating all persons living with HIV (PLWHs), expanding treatment eligibility in the real world may have additional behavioral effects (e.g., changes in retention) or lead to unintended consequences (e.g., crowding out sicker patients owing to increased patient volume). Using a regression discontinuity design, we sought to assess the effects of a previous change to Zambia's HIV treatment guidelines increasing the threshold for treatment eligibility from 350 to 500 cells/μL to anticipate effects of current global efforts to treat all PLWHs., Methods and Findings: We analyzed antiretroviral therapy (ART)-naïve adults who newly enrolled in HIV care in a network of 64 clinics operated by the Zambian Ministry of Health and supported by the Centre for Infectious Disease Research in Zambia (CIDRZ). Patients were restricted to those enrolling in a narrow window around the April 1, 2014 change to Zambian HIV treatment guidelines that raised the CD4 threshold for treatment from 350 to 500 cells/μL (i.e., August 1, 2013, to November 1, 2014). Clinical and sociodemographic data were obtained from an electronic medical record system used in routine care. We used a regression discontinuity design to estimate the effects of this change in treatment eligibility on ART initiation within 3 months of enrollment, retention in care at 6 months (defined as clinic attendance between 3 and 9 months after enrollment), and a composite of both ART initiation by 3 months and retention in care at 6 months in all new enrollees. We also performed an instrumental variable (IV) analysis to quantify the effect of actually initiating ART because of this guideline change on retention. Overall, 34,857 ART-naïve patients (39.1% male, median age 34 years [IQR 28-41], median CD4 268 cells/μL [IQR 134-430]) newly enrolled in HIV care during this period; 23,036 were analyzed after excluding patients around the threshold to allow for clinic-to-clinic variations in actual guideline uptake. In all newly enrolling patients, expanding the CD4 threshold for treatment from 350 to 500 cells/μL was associated with a 13.6% absolute increase in ART initiation within 3 months of enrollment (95% CI, 11.1%-16.2%), a 4.1% absolute increase in retention at 6 months (95% CI, 1.6%-6.7%), and a 10.8% absolute increase in the percentage of patients who initiated ART by 3 months and were retained at six months (95% CI, 8.1%-13.5%). These effects were greatest in patients who would have become newly eligible for ART with the change in guidelines: a 43.7% increase in ART initiation by 3 months (95% CI, 37.5%-49.9%), 13.6% increase in retention at six months (95% CI, 7.3%-20.0%), and a 35.5% increase in the percentage of patients on ART at 3 months and still in care at 6 months [95% CI, 29.2%-41.9%). We did not observe decreases in ART initiation or retention in patients not directly targeted by the guideline change. An IV analysis found that initiating ART in response to the guideline change led to a 37.9% (95% CI, 28.8%-46.9%) absolute increase in retention in care. Limitations of this study include uncertain generalizability under newer models of care, lack of laboratory data (e.g., viral load), inability to account for earlier stages in the HIV care cascade (e.g., HIV testing and linkage), and potential for misclassification of eligibility status or outcome., Conclusions: In this study, guidelines raising the CD4 threshold for treatment from 350 to 500 cells/μL were associated with a rapid rise in ART initiation as well as enhanced retention among newly treatment-eligible patients, without negatively impacting patients with lower CD4 levels. These data suggest that health systems in Zambia and other high-prevalence settings could substantially enhance engagement even among those with high CD4 levels (i.e., above 500 cells/μL) by expanding treatment without undermining existing care standards., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: EHG is a member of the Editorial Board of PLOS Medicine.
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- 2018
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36. Estimated mortality on HIV treatment among active patients and patients lost to follow-up in 4 provinces of Zambia: Findings from a multistage sampling-based survey.
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Holmes CB, Sikazwe I, Sikombe K, Eshun-Wilson I, Czaicki N, Beres LK, Mukamba N, Simbeza S, Bolton Moore C, Hantuba C, Mwaba P, Phiri C, Padian N, Glidden DV, and Geng E
- Subjects
- Adult, Female, Humans, Incidence, Kaplan-Meier Estimate, Male, Middle Aged, Survival Analysis, Zambia epidemiology, Anti-Retroviral Agents therapeutic use, HIV Infections drug therapy, HIV Infections mortality, Lost to Follow-Up
- Abstract
Background: Survival represents the single most important indicator of successful HIV treatment. Routine monitoring fails to capture most deaths. As a result, both regional assessments of the impact of HIV services and identification of hotspots for improvement efforts are limited. We sought to assess true mortality on treatment, characterize the extent under-reporting of mortality in routine health information systems in Zambia, and identify drivers of mortality across sites and over time using a multistage, regionally representative sampling approach., Methods and Findings: We enumerated all HIV infected adults on antiretroviral therapy (ART) who visited any one of 64 facilities across 4 provinces in Zambia during the 24-month period from 1 August 2013 to 31 July 2015. We identified a probability sample of patients who were lost to follow-up through selecting facilities probability proportional to size and then a simple random sample of lost patients. Outcomes among patients lost to follow-up were incorporated into survival analysis and multivariate regression through probability weights. Of 165,464 individuals (64% female, median age 39 years (IQR 33-46), median CD4 201 cells/mm3 (IQR 111-312), the 2-year cumulative incidence of mortality increased from 1.9% (95% CI 1.7%-2.0%) to a corrected rate of 7.0% (95% CI 5.7%-8.4%) (all ART users) and from 2.1% (95% CI 1.8%-2.4%) to 8.3% (95% CI 6.1%-10.7%) (new ART users). Revised provincial mortality rates ranged from 3-9 times higher than naïve rates for new ART users and were lowest in Lusaka Province (4.6 per 100 person-years) and highest in Western Province (8.7 per 100 person-years) after correction. Corrected mortality rates varied markedly by clinic, with an IQR of 3.5 to 7.5 deaths per 100 person-years and a high of 13.4 deaths per 100 person-years among new ART users, even after adjustment for clinical (e.g., pretherapy CD4) and contextual (e.g., province and clinic size) factors. Mortality rates (all ART users) were highest year 1 after treatment at 4.6/100 person-years (95% CI 3.9-5.5), 2.9/100 person-years (95% CI 2.1-3.9) in year 2, and approximately 1.6% per year through 8 years on treatment. In multivariate analysis, patient-level factors including male sex and pretherapy CD4 levels and WHO stage were associated with higher mortality among new ART users, while male sex and HIV disclosure were associated with mortality among all ART users. In both cases, being late (>14 days late for appointment) or lost (>90 days late for an appointment) was associated with deaths. We were unable to ascertain the vital status of about one-quarter of those lost and selected for tracing and did not adjudicate causes of death., Conclusions: HIV treatment in Zambia is not optimally effective. The high and sustained mortality rates and marked under-reporting of mortality at the provincial-level and unexplained heterogeneity between regions and sites suggest opportunities for the use of corrected mortality rates for quality improvement. A regionally representative sampling-based approach can bring gaps and opportunities for programs into clear epidemiological focus for local and global decision makers.
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- 2018
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37. Improved Retention With 6-Month Clinic Return Intervals for Stable Human Immunodeficiency Virus-Infected Patients in Zambia.
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Mody A, Roy M, Sikombe K, Savory T, Holmes C, Bolton-Moore C, Padian N, Sikazwe I, and Geng E
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- Adult, Aged, Cohort Studies, Female, Humans, Male, Middle Aged, Young Adult, Zambia, Anti-HIV Agents therapeutic use, HIV Infections drug therapy, Medication Adherence, Retention in Care statistics & numerical data
- Abstract
Background: Extending appointment intervals for stable HIV-infected patients in sub-Saharan Africa can reduce patient opportunity costs and decongest overcrowded facilities., Methods: We analyzed a cohort of stable HIV-infected adults (on treatment with CD4 >200 cells/μL for more than 6 months) who presented for clinic visits in Lusaka, Zambia. We used multilevel, mixed-effects logistic regression adjusting for patient characteristics, including prior retention, to assess the association between scheduled appointment intervals and subsequent missed visits (>14 days late to next visit), gaps in medication (>14 days late to next pharmacy refill), and loss to follow-up (LTFU; >90 days late to next visit)., Results: A total of 62084 patients (66.6% female, median age 38, median CD4 438 cells/μL) made 501281 visits while stable on antiretroviral therapy. Most visits were scheduled around 1-month (25.0% clinical, 44.4% pharmacy) or 3-month intervals (49.8% clinical, 35.2% pharmacy), with fewer patients scheduled at 6-month intervals (10.3% clinical, 0.4% pharmacy). After adjustment and compared to patients scheduled to return in 1 month, patients with six-month clinic return intervals were the least likely to miss visits (adjusted odds ratio [aOR], 0.20; 95% confidence interval [CI], 0.17-0.24); miss medication pickups (aOR, 0.47; 95% CI 0.39-0.57), and become LTFU prior to the next visit (aOR, 0.41; 95% CI, 0.31-0.54)., Conclusions: Six-month clinic return intervals were associated with decreased lateness, gaps in medication, and LTFU in stable HIV-infected patients and may represent a promising strategy to reduce patient burdens and decongest clinics., (© The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)
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- 2018
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