31 results on '"Pienaar, David"'
Search Results
2. Examining sustained sub-national health system development: experience from the Western Cape Province, South Africa, 1994–2016.
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Gilson, Lucy, Vallabhjee, Krishna, Naledi, Tracey, Brady, Leanne, Hawkridge, Anthony, Pienaar, David, and Schneider, Helen
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GOVERNMENT policy ,PUBLIC administration ,MIDDLE-income countries ,LEGACY systems ,MEDICAL care - Abstract
Governance and leadership are recognized as central to health system development in low- and middle-income countries, yet few existing studies consider the influence of multilevel governance systems. South Africa is one of the many (quasi-)federal states. Provincial governments have responsibility for managing health care delivery within national policy frameworks and norms. The early post-apartheid period saw country-wide efforts to address the apartheid legacy of health system inequity and inefficiency, but health system transformation subsequently stalled in many provinces. In contrast, the Western Cape provincial health department sustained service delivery reform and strengthened management processes over the period 1994–2016. This department can be considered a 'pocket of relative bureaucratic effectiveness': an organizational entity that, compared to others, is relatively effective in carrying out its functions in pursuit of the public good. This paper considers what factors enabled the development of the Western Cape health system in the period 1994–2016. Two phases of data collection entailed document review, participatory workshops, 43 in-depth interviews with purposively selected key informants from inside and outside the Western Cape and a structured survey testing initial insights (response rate 42%). Analysis included triangulation across data sets, comparison between the Western Cape and other provincial experience and deeper reflection on these experiences drawing on POE theory and public administration literature. The analysis highlights the Western Cape experience of stable and astute sub-national governance and leadership and the deepening of administrative and technical capacity over time—within a specific provincial historical and political economy context that sustained the separation of political and administrative powers. Multilevel governance systems can create the space for sub-national POEs to emerge in their mediation of wider political economy forces, generating spaces for skilled reform leaders to act in the public interest, support the emergence of distributed leadership and develop robust management processes. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Psychiatric hospital admissions and linkages to ambulatory services in the Western Cape Province of South Africa (2015-2022): trends, risk factors and possible opportunities for intervention
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Hussey, Hannah, primary, Mountford, Timothy, additional, Heekes, Alexa, additional, Dean, Carol, additional, Roelofse, Marinda, additional, Hendricks, Lynne, additional, Cossie, Qhama, additional, Koen, Liezel, additional, Cesar, Warren, additional, Lomas, Vanessa, additional, Pienaar, David, additional, Perez, Giovanni, additional, Boulle, Andrew, additional, Sorsdahl, Katherine, additional, and Mahomed, Hassan, additional
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- 2023
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4. Epidemiology and Outcomes of SARS-CoV-2 Infection Associated with Anti-Nucleocapsid Seropositivity in Cape Town, South Africa
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Hussey, Hannah, primary, Vreede, Helena, additional, Davies, Mary-Ann, additional, Heekes, Alexa, additional, Kalk, Emma, additional, Hardie, Diana, additional, van Zyl, Gert, additional, Naidoo, Michelle, additional, Morden, Erna, additional, Bam, Jamy-Lee, additional, Zinyakatira, Nesbert, additional, Centner, Chad M., additional, Maritz, Jean, additional, Jessica, Opie, additional, Chapanduka, Zivanai C., additional, Mahomed, Hassan, additional, Smith, Mariette, additional, Cois, Annibale, additional, Pienaar, David, additional, Redd, Andrew D., additional, Preiser, Wolfgang, additional, Wilkinson, Robert J., additional, Boulle, Andrew, additional, and Hsiao, Nei-yuan, additional
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- 2023
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5. Epidemiology and outcomes of SARS-CoV-2 infection associated with anti-nucleocapsid seropositivity in Cape Town, South Africa
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Hussey, Hannah, primary, Vreede, Helena, additional, Davies, Mary-Ann, additional, Heekes, Alexa, additional, Kalk, Emma, additional, Hardie, Diana, additional, van Zyl, Gert, additional, Naidoo, Michelle, additional, Morden, Erna, additional, Bam, Jamy-Lee, additional, Zinyakatira, Nesbert, additional, Centner, Chad M, additional, Maritz, Jean, additional, Opie, Jessica, additional, Chapanduka, Zivanai, additional, Mahomed, Hassan, additional, Smith, Mariette, additional, Cois, Annibale, additional, Pienaar, David, additional, Redd, Andrew D., additional, Preiser, Wolfgang, additional, Wilkinson, Robert, additional, Chetty, Kamy, additional, Boulle, Andrew, additional, and Hsiao, Nei-yuan, additional
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- 2022
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6. Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa
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Davies, Mary-Ann, primary, Morden, Erna, additional, Rosseau, Petro, additional, Arendse, Juanita, additional, Bam, Jamy-Lee, additional, Boloko, Linda, additional, Cloete, Keith, additional, Cohen, Cheryl, additional, Chetty, Nicole, additional, Dane, Pierre, additional, Heekes, Alexa, additional, Hsiao, Nei-Yuan, additional, Hunter, Mehreen, additional, Hussey, Hannah, additional, Jacobs, Theuns, additional, Jassat, Waasila, additional, Kariem, Saadiq, additional, Kassanjee, Reshma, additional, Laenen, Inneke, additional, Roux, Sue Le, additional, Lessells, Richard, additional, Mahomed, Hassan, additional, Maughan, Deborah, additional, Meintjes, Graeme, additional, Mendelson, Marc, additional, Mnguni, Ayanda, additional, Moodley, Melvin, additional, Murie, Katy, additional, Naude, Jonathan, additional, Ntusi, Ntobeko A. B., additional, Paleker, Masudah, additional, Parker, Arifa, additional, Pienaar, David, additional, Preiser, Wolfgang, additional, Prozesky, Hans, additional, Raubenheimer, Peter, additional, Rossouw, Liezel, additional, Schrueder, Neshaad, additional, Smith, Barry, additional, Smith, Mariette, additional, Solomon, Wesley, additional, Symons, Greg, additional, Taljaard, Jantjie, additional, Wasserman, Sean, additional, Wilkinson, Robert J., additional, Wolmarans, Milani, additional, Wolter, Nicole, additional, and Boulle, Andrew, additional
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- 2022
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7. Reflections on the health system response to COVID-19 in the Western Cape Province
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Vallabhjee, Krish, primary, Gilson, Lucy, additional, Davies, Mary A, additional, Boulle, Andrew, additional, Pienaar, David, additional, Reagon, Gavin, additional, Mahomed, Hassan, additional, Kaye, Simon, additional, Kariem, Saadiq, additional, and Cloete, Keith, additional
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- 2022
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8. Outcomes of laboratory-confirmed SARS-CoV-2 infection in the Omicron-driven fourth wave compared with previous waves in the Western Cape Province, South Africa
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Davies, Mary-Ann, primary, Kassanjee, Reshma, additional, Rousseau, Petro, additional, Morden, Erna, additional, Johnson, Leigh, additional, Solomon, Wesley, additional, Hsiao, Nei-Yuan, additional, Hussey, Hannah, additional, Meintjes, Graeme, additional, Paleker, Masudah, additional, Jacobs, Theuns, additional, Raubenheimer, Peter, additional, Heekes, Alexa, additional, Dane, Pierre, additional, Bam, Jamy-Lee, additional, Smith, Mariette, additional, Preiser, Wolfgang, additional, Pienaar, David, additional, Mendelson, Marc, additional, Naude, Jonathan, additional, Schreuder, Neshaad, additional, Mnguni, Ayanda, additional, Le Roux, Susan, additional, Murie, Katie, additional, Prozesky, Hans, additional, Mahomed, Hassan, additional, Rossouw, Liezel, additional, Wasserman, Sean, additional, Maughan, Deborah, additional, Boloko, Linda, additional, Smith, Barry, additional, Taljaard, Jantjie, additional, Symons, Greg, additional, Ntusi, Ntobeko, additional, Parker, Arifa, additional, Wolter, Nicole, additional, Jassat, Waasila, additional, Cohen, Cheryl, additional, Lessells, Richard, additional, Wilkinson, Robert, additional, Arendse, Juanita, additional, Kariem, Saadiq, additional, Moodley, Melvin, additional, Vallabhjee, Krish, additional, Wolmarans, Milani, additional, and Boulle, Andrew, additional
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- 2022
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9. Reflections on the health system response to COVID-19 in the Western Cape Province
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Vallabhjee, Krish, Gilson, Lucy, Davies, Mary Ann, Boulle, Andrew, Pienaar, David, Reagon, Gavin, Mahomed, Hassan, Kaye, Simon, Kariem, Saadiq, Cloete, Keith, Govender, Kaymarlin, George, Gavin, Padarath, Ashnie, and Moeti, Themba
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- 2021
10. Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa
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Boulle, Andrew, Davies, Mary-Ann, Hussey, Hannah, Ismail, Muzzammil, Morden, Erna, Vundle, Ziyanda, Zweigenthal, Virginia, Mahomed, Hassan, Paleker, Masudah, Pienaar, David, Tembo, Yamanya, Lawrence, Charlene, Isaacs, Washiefa, Mathema, Hlengani, Allen, Derick, Allie, Taryn, Bam, Jamy-Lee, Buddiga, Kasturi, Dane, Pierre, Heekes, Alexa, Matlapeng, Boitumelo, Mutemaringa, Themba, Muzarabani, Luckmore, Phelanyane, Florence, Pienaar, Rory, Rode, Catherine, Smith, Mariette, Tiffin, Nicki, Zinyakatira, Nesbert, Cragg, Carol, Marais, Frederick, Mudaly, Vanessa, Voget, Jacqueline, Davids, Jody, Roodt, Francois, van Zyl Smit, Nellis, Vermeulen, Alda, Adams, Kevin, Audley, Gordon, Bateman, Kathleen, Beckwith, Peter, Bernon, Marc, Blom, Dirk, Boloko, Linda, Botha, Jean, Boutall, Adam, Burmeister, Sean, Cairncross, Lydia, Calligaro, Gregory, Coccia, Cecilia, Corin, Chadwin, Daroowala, Remy, Dave, Joel A, De Bruyn, Elsa, De Villiers, Martin, Deetlefs, Mimi, Dlamini, Sipho, Du Toit, Thomas, Endres, Wilhelm, Europa, Tarin, Fieggan, Graham, Figaji, Anthony, Frankenfeld, Petro, Gatley, Elizabeth, Gina, Phindile, Govender, Evashan, Grobler, Rochelle, Gule, Manqoba Vusumuzi, Hanekom, Christoff, Held, Michael, Heynes, Alana, Hlatswayo, Sabelo, Hodkinson, Bridget, Holtzhausen, Jeanette, Hoosain, Shakeel, Jacobs, Ashely, Kahn, Miriam, Kahn, Thania, Khamajeet, Arvin, Khan, Joubin, Khan, Riaasat, Khwitshana, Alicia, Knight, Lauren, Kooverjee, Sharita, Krogscheepers, Rene, Kruger, Jean Jacque, Kuhn, Suzanne, Laubscher, Kim, Lazarus, John, Le Roux, Jacque, Lee Jones, Scott, Levin, Dion, Maartens, Gary, Majola, Thina, Manganyi, Rodgers, Marais, David, Marais, Suzaan, Maritz, Francois, Maughan, Deborah, Mazondwa, Simthandile, Mbanga, Luyanda, Mbatani, Nomonde, Mbena, Bulewa, Meintjes, Graeme, Mendelson, Marc, Möller, Ernst, Moore, Allison, Ndebele, Babalwa, Nortje, Marc, Ntusi, Ntobeko, Nyengane, Funeka, Ofoegbu, Chima, Papavarnavas, Nectarios, Peter, Jonny, Pickard, Henri, Pluke, Kent, Raubenheimer, Peter J, Robertson, Gordon, Rozmiarek, Julius, Sayed, A, Scriba, Matthias, Sekhukhune, Hennie, Singh, Prasun, Smith, Elsabe, Soldati, Vuyolwethu, Stek, Cari, van den berg, Robert, van der Merwe, Le Roux, Venter, Pieter, Vermooten, Barbra, Viljoen, Gerrit, Viranna, Santhuri, Vogel, Jonno, Vundla, Nokubonga, Wasserman, Sean, Zitha, Eddy, Lomas-Marais, Vanessa, Lombard, Annie, Stuve, Katrin, Viljoen, Werner, Basson, De Vries, Le Roux, Sue, Linden-Mars, Ethel, Victor, Lizanne, Wates, Mark, Zwanepoel, Elbe, Ebrahim, Nabilah, Lahri, Sa’ad, Mnguni, Ayanda, Crede, Thomas, de Man, Martin, Evans, Katya, Hendrikse, Clint, Naude, Jonathan, Parak, Moosa, Szymanski, Patrick, Van Koningsbruggen, Candice, Abrahams, Riezaah, Allwood, Brian, Botha, Christoffel, Botha, Matthys Henndrik, Broadhurst, Alistair, Claasen, Dirkie, Daniel, Che, Dawood, Riyaadh, du Preez, Marie, Du Toit, Nicolene, Erasmus, Kobie, Koegelenberg, Coenraad F N, Gabriel, Shiraaz, Hugo, Susan, Jardine, Thabiet, Johannes, Clint, Karamchand, Sumanth, Lalla, Usha, Langenegger, Eduard, Louw, Eize, Mashigo, Boitumelo, Mhlana, Nonte, Mnqwazi, Chizama, Moodley, Ashley, Moodley, Desiree, Moolla, Saadiq, Mowlana, Abdurasiet, Nortje, Andre, Olivier, Elzanne, Parker, Arifa, Paulsen, Chané, Prozesky, Hans, Rood, Jacques, Sabela, Tholakele, Schrueder, Neshaad, Sithole, Nokwanda, Sithole, Sthembiso, Taljaard, Jantjie J, Titus, Gideon, Van Der Merwe, Tian, van Schalkwyk, Marije, Vazi, Luthando, Viljoen, Abraham J, Yazied Chothia, Mogamat, Naidoo, Vanessa, Wallis, Lee Alan, Abbass, Mumtaz, Arendse, Juanita, Armien, Rizqa, Bailey, Rochelle, Bello, Muideen, Carelse, Rachel, Forgus, Sheron, Kalawe, Nosi, Kariem, Saadiq, Kotze, Mariska, Lucas, Jonathan, McClaughlin, Juanita, Murie, Kathleen, Najjaar, Leilah, Petersen, Liesel, Porter, James, Shaw, Melanie, Stapar, Dusica, Williams, Michelle, Aldum, Linda, Berkowitz, Natacha, Girran, Raakhee, Lee, Kevin, Naidoo, Lenny, Neumuller, Caroline, Anderson, Kim, Begg, Kerrin, Boerlage, Lisa, Cornell, Morna, de Waal, Renée, Dudley, Lilian, English, René, Euvrard, Jonathan, Groenewald, Pam, Jacob, Nisha, Jaspan, Heather, Kalk, Emma, Levitt, Naomi, Malaba, Thoko, Nyakato, Patience, Patten, Gabriela, Schneider, Helen, Shung King, Maylene, Tsondai, Priscilla, Van Duuren, James, van Schaik, Nienke, Blumberg, Lucille, Cohen, Cheryl, Govender, Nelesh, Jassat, Waasila, Kufa, Tendesayi, McCarthy, Kerrigan, Morris, Lynn, Hsiao, Nei-yuan, Marais, Ruan, Ambler, Jon, Ngwenya, Olina, Osei-Yeboah, Richard, Johnson, Leigh, Kassanjee, Reshma, and Tamuhla, Tsaone
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sub-Saharan Africa ,0301 basic medicine ,Microbiology (medical) ,Adult ,Male ,Tuberculosis ,antiretroviral ,030106 microbiology ,Population ,HIV Infections ,HIV Infections/complications ,Cohort Studies ,South Africa ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Major Article ,Medicine ,Humans ,030212 general & internal medicine ,education ,Proportional Hazards Models ,education.field_of_study ,South Africa/epidemiology ,business.industry ,Proportional hazards model ,SARS-CoV-2 ,Hazard ratio ,HIV ,Correction ,COVID-19 ,medicine.disease ,Confidence interval ,AcademicSubjects/MED00290 ,Infectious Diseases ,Standardized mortality ratio ,tuberculosis ,Attributable risk ,business ,Viral load ,Demography - Abstract
Background Risk factors for coronavirus disease 2019 (COVID-19) death in sub-Saharan Africa and the effects of human immunodeficiency virus (HIV) and tuberculosis on COVID-19 outcomes are unknown. Methods We conducted a population cohort study using linked data from adults attending public-sector health facilities in the Western Cape, South Africa. We used Cox proportional hazards models, adjusted for age, sex, location, and comorbidities, to examine the associations between HIV, tuberculosis, and COVID-19 death from 1 March to 9 June 2020 among (1) public-sector “active patients” (≥1 visit in the 3 years before March 2020); (2) laboratory-diagnosed COVID-19 cases; and (3) hospitalized COVID-19 cases. We calculated the standardized mortality ratio (SMR) for COVID-19, comparing adults living with and without HIV using modeled population estimates. Results Among 3 460 932 patients (16% living with HIV), 22 308 were diagnosed with COVID-19, of whom 625 died. COVID-19 death was associated with male sex, increasing age, diabetes, hypertension, and chronic kidney disease. HIV was associated with COVID-19 mortality (adjusted hazard ratio [aHR], 2.14; 95% confidence interval [CI], 1.70–2.70), with similar risks across strata of viral loads and immunosuppression. Current and previous diagnoses of tuberculosis were associated with COVID-19 death (aHR, 2.70 [95% CI, 1.81–4.04] and 1.51 [95% CI, 1.18–1.93], respectively). The SMR for COVID-19 death associated with HIV was 2.39 (95% CI, 1.96–2.86); population attributable fraction 8.5% (95% CI, 6.1–11.1). Conclusions While our findings may overestimate HIV- and tuberculosis-associated COVID-19 mortality risks due to residual confounding, both living with HIV and having current tuberculosis were independently associated with increased COVID-19 mortality. The associations between age, sex, and other comorbidities and COVID-19 mortality were similar to those in other settings.
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- 2021
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11. Outcomes of laboratory‐confirmed SARS‐CoV‐2 infection in the Omicron‐driven fourth wave compared with previous waves in the Western Cape Province, South Africa.
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Davies, Mary‐Ann, Kassanjee, Reshma, Rousseau, Petro, Morden, Erna, Johnson, Leigh, Solomon, Wesley, Hsiao, Nei‐Yuan, Hussey, Hannah, Meintjes, Graeme, Paleker, Masudah, Jacobs, Theuns, Raubenheimer, Peter, Heekes, Alexa, Dane, Pierre, Bam, Jamy‐Lee, Smith, Mariette, Preiser, Wolfgang, Pienaar, David, Mendelson, Marc, and Naude, Jonathan
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OBJECTIVES: The objective was to compare COVID‐19 outcomes in the Omicron‐driven fourth wave with prior waves in the Western Cape, assess the contribution of undiagnosed prior infection to differences in outcomes in a context of high seroprevalence due to prior infection and determine whether protection against severe disease conferred by prior infection and/or vaccination was maintained. METHODS: In this cohort study, we included public sector patients aged ≥20 years with a laboratory‐confirmed COVID‐19 diagnosis between 14 November and 11 December 2021 (wave four) and equivalent prior wave periods. We compared the risk between waves of the following outcomes using Cox regression: death, severe hospitalisation or death and any hospitalisation or death (all ≤14 days after diagnosis) adjusted for age, sex, comorbidities, geography, vaccination and prior infection. RESULTS: We included 5144 patients from wave four and 11,609 from prior waves. The risk of all outcomes was lower in wave four compared to the Delta‐driven wave three (adjusted hazard ratio (aHR) [95% confidence interval (CI)] for death 0.27 [0.19; 0.38]. Risk reduction was lower when adjusting for vaccination and prior diagnosed infection (aHR: 0.41, 95% CI: 0.29; 0.59) and reduced further when accounting for unascertained prior infections (aHR: 0.72). Vaccine protection was maintained in wave four (aHR for outcome of death: 0.24; 95% CI: 0.10; 0.58). CONCLUSIONS: In the Omicron‐driven wave, severe COVID‐19 outcomes were reduced mostly due to protection conferred by prior infection and/or vaccination, but intrinsically reduced virulence may account for a modest reduction in risk of severe hospitalisation or death compared to the Delta‐driven wave. [ABSTRACT FROM AUTHOR]
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- 2022
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12. Diversity of patient preparation activities before initiation of antiretroviral therapy in Cape Town, South Africa
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Myer, Landon, Zulliger, Rose, and Pienaar, David
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- 2012
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13. Temporal trends in TB notification rates during ART scale‐up in Cape Town: an ecological analysis
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Hermans, Sabine, Boulle, Andrew, Caldwell, Judy, Pienaar, David, and Wood, Robin
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Cape Town, South Africa -- Health aspects ,Highly active antiretroviral therapy -- Statistics ,Tuberculosis -- Statistics -- Risk factors ,HIV infection -- Statistics -- Drug therapy -- Educational aspects -- Risk factors ,Health - Abstract
Introduction: Although antiretroviral therapy (ART) reduces individual tuberculosis (TB) risk by two‐thirds, the population‐level impact remains uncertain. Cape Town reports high TB notification rates associated with endemic HIV. We examined population trends in TB notification rates during a 10‐year period of expanding ART. Methods: Annual Cape Town TB notifications were used as numerators and mid‐year Cape Town populations as denominators. HIV‐stratified population was calculated using overall HIV prevalence estimates from the Actuarial Society of South Africa AIDS and Demographic model. ART provision numbers from Western Cape government reports were used to calculate overall ART coverage. We calculated rates per 100,000 population over time, overall and stratified by HIV status. Rates per 100,000 total population were also calculated by ART use at treatment initiation. Absolute numbers of notifications were compared by age and sub‐district. Changes over time were described related to ART provision in the city as a whole (ART coverage) and by sub‐district (numbers on ART). Results: From 2003 to 2013, Cape Town's population grew from 3.1 to 3.7 million inhabitants, and estimated HIV prevalence increased from 3.6 to 5.2%. ART coverage increased from 0 to 63% in 2013. TB notification rates declined by 16% (95% confidence interval (CI), 14–17%) from a 2008 peak (851/100,000) to a 2013 nadir (713/100,000). Decreases were higher among the HIV‐positive (21% (95% CI, 19–23%)) than the HIV‐negative (9% (95% CI, 7–11%)) population. The number of HIV‐positive TB notifications decreased mainly among 0‐ to 4‐ and 20‐ to 34‐year‐olds. Total population rates on ART at TB treatment initiation increased over time but levelled off in 2013. Overall median CD4 counts increased from 146 cells/µl (interquartile range (IQR), 66, 264) to 178 cells/µl (IQR 75, 330; p Conclusions: HIV‐positive TB notification rates declined during a period of rapid scale‐up of ART. Nevertheless, both HIV‐positive and HIV‐negative TB notification rates remained very high. Decreases among HIV positives were likely blunted by TB remaining a major entry to the ART programme and occurring after delayed ART initiation., Introduction Antiretroviral therapy (ART) reduces the individual tuberculosis (TB) risk by two‐thirds [1]. This reduction is time‐ and CD4+ T‐cell (CD4) count‐dependent, however [2]. The TB risk is highest at [...]
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- 2015
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14. An Evaluation of the Role of an Intermediate Care Facility in the Continuum of Care in Western Cape, South Africa
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A. Mabunda, Sikhumbuzo, primary, London, Leslie, additional, and Pienaar, David, additional
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- 2017
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15. Implications of Cochrane Review on restricting or banning alcohol advertising in South Africa
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Parry, Charles, Pienaar, David, Ataguba, John, Volmink, Jimmy, Kredo, Tamara, Jere, Mlenga, and Siegfried, Nandi
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- 2015
16. An Evaluation of the Role of an Intermediate Care Facility in the Continuum of Care in Western Cape, South Africa.
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Mabunda, Sikhumbuzo A., London, Leslie, and Pienaar, David
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CONTINUUM of care ,INTERMEDIATE care ,HOME care services - Abstract
Background: A comprehensive primary healthcare (PHC) approach requires clear referral and continuity of care pathways. South Africa is a lower-middle income country (LMIC) that lacks data on the role of intermediate care (IC) services in the health system. This study described the model of service provision at one facility in Cape Town, including reason for admission, the mix of services and skills provided and needed, patient satisfaction, patient outcome and articulation with other services across the spectrum of care. Methods: A multi-method design was used. Sixty-eight patients were recruited over one month in mid-2011 in a prospective cohort. Patient data were collected from clinical record review and an interviewer-administered questionnaire, administered shortly after admission to assess primary and secondary diagnosis, referring institution, knowledge of and previous use of home based care (HBC) services, reason for admission and demographics. A telephonic questionnaire at 9-weeks post-discharge recorded their vital status, use of HBC post-discharge and their satisfaction with care received. Staff members completed a self-administered questionnaire to describe demographics and skills. Cox regression was used to identify predictors of survival. Results: Of the 68 participants, 38% and 24% were referred from a secondary and tertiary hospital, respectively. Stroke (35%) was the most common single reason for admission. The three most common reasons reported why care was better at the IC facility were staff attitude, the presence of physiotherapy and the wound care. Even though most patients reported admission to another health facility in the preceding year, only 13 patients (21%) had ever accessed HBC and only 25% (n = 15) of discharged patients used HBC post-discharge. Of the 57 patients traced on follow-up, 21(37%) had died. The presence of a Care-plan was significantly associated with a 62% lower risk of death (hazard ratio: 0.38; CI 0.15-0.97). Notably, 46% of staff members reported performing roles that were outside their scope of practice and there was a mismatch between what staff reported doing and their actual tasks. Conclusion: Clients understood this service as a caring environment primarily responsible for rehabilitation services. A Care-plan beyond admission could significantly reduce mortality. There was poor referral to and poor articulation with HBC services. IC services should be recognised as an integral part of the health system and should be accessible. [ABSTRACT FROM AUTHOR]
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- 2018
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17. Implications of Cochrane Review on restricting or banning alcohol advertising in South Africa
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Parry, Charles, primary, Pienaar, David, additional, Ataguba, John, additional, Volmink, Jimmy, additional, Kredo, Tamara, additional, Jere, Mlenga, additional, and Siegfried, Nandi, additional
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- 2015
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18. Restricting or banning alcohol advertising to reduce alcohol consumption in adults and adolescents
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Siegfried, Nandi, primary, Pienaar, David C, additional, Ataguba, John E, additional, Volmink, Jimmy, additional, Kredo, Tamara, additional, Jere, Mlenga, additional, and Parry, Charles DH, additional
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- 2014
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19. Restricting or banning of alcohol advertising to reduce alcohol consumption in adults and adolescents
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Siegfried, Nandi, primary, Pienaar, David C, additional, Ataguba, John E, additional, Volmink, Jimmy, additional, Kredo, Tamara, additional, Jere, Mlenga, additional, and Parry, Charles DH, additional
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- 2013
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20. Safety, feasibility and efficacy of a rapid ART initiation in pregnancy pilot programme in Cape Town, South Africa
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Black, Samantha, primary, Zulliger, Rose, additional, Myer, Landon, additional, Marcus, Rebecca, additional, Jeneker, Sharon, additional, Taliep, Reghana, additional, Pienaar, David, additional, Wood, Robin, additional, and Bekker, Linda-Gail, additional
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- 2013
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21. Pilot programme for the rapid initiation of antiretroviral therapy in pregnancy in Cape Town, South Africa
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Myer, Landon, primary, Zulliger, Rose, additional, Black, Samantha, additional, Pienaar, David, additional, and Bekker, Linda-Gail, additional
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- 2012
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22. Too little, too late: measles epidemic in South Africa
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Siegfried, Nandi, primary, Wiysonge, Charles S, additional, and Pienaar, David, additional
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- 2010
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23. Health professionals don't feel secure in their own country
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Siegfried, Nandi, primary and Pienaar, David, additional
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- 2008
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24. Enhanced Anti-Mycobacterial Immunity in Children with Erythema Nodosum and a Positive Tuberculin Skin Test
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Nicol, Mark P., primary, Kampmann, Beate, additional, Lawrence, Patricia, additional, Wood, Kathy, additional, Pienaar, Sandy, additional, Pienaar, David, additional, Eley, Brian, additional, Levin, Michael, additional, Beatty, David, additional, and Anderson, Suzanne T.B., additional
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- 2007
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25. An evaluation of the role of an Intermediate Care facility in the continuum of care in Western Cape, South Africa
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Mabunda, Sikhumbuzo Advisor, London, Leslie, and Pienaar, David
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Sub-acute care ,Stroke Rehabilitation ,Continuity of care ,Step-down facilities ,Subacute care ,Intermediate Care ,Public Health Medicine - Abstract
BACKGROUND: A comprehensive Primary Health Care approach includes clear referral and continuity of care pathways. South Africa lacks data that describe Intermediate Care (IC) services and its role in the health system. This study aimed to describe the model of service provision at an IC facility and the role it plays in the continuity of care in Cape Town. METHODS: Sixty-eight patients (65% Response Rate) were recruited in a prospective cohort design over a one-month period in mid-2011. Patient data were collected from a clinical record review and an interviewer-administered questionnaire, administered at a median interval between admission and interview of 11 days to assess primary and second ary diagnosis, knowledge of and previous use of Home Based Care (HBC) services, reason for admission, demographics and information on referring institution. A telephonic interviewer-administered questionnaire to patients or their family members post-discharge recorded their vital status, use of HBC post-discharge and their level of satisfaction with care received at the IC facility. A Cox regression model was run to identify predictors of survival and the effect of a Care-plan on survival. Seventy staff members (82%) were recruited in a cross-sectional study using a self-administered questionnaire to describe demographics, level of education and skills in relation to what they did for patients and what they thought patients needed. RESULTS: Of the 68 participants, 38 % and 24% were referred from a secondary and tertiary hospital, respectively, and 78% were resident of a higher income community. Stroke (35%) was the most common single reason for admission at acute hospital. The three most common reasons reported by patients why care was better at the IC facility than the referring institution was the caring and friendly staff, the presence of physiotherapy and the wound care. Even though a large proportion of the IC inpatients had been admitted in a health facility on the year preceding the study, only 13 patients (21%) had used a Community Health Worker (CHW) ever before and only 25% (n=15) of the discharged patients had a confirmed CHW visit post-discharge. The presence of a Care-plan was significantly associated with a 62% lower risk of death (Hazard Ratio: 0.380; CI 0.149-0.972). Notably, 46% of staff members reported performing roles that were outside their scope of practice and there was a mismatch between what staff reported doing and their actual tasks. In addition, of the 57 patients that could be traced on follow-up 21(37%) had died. CONCLUSION: Patients and family understood this service as a caring environment that is primarily responsible for rehabilitation services. Furthermore, a Care-plan which extends beyond admission could have a significant impact on reducing mortality. IC services should therefore be recognised as an integral part of the health system and it should be accessed by all who need it.
- Published
- 2015
26. HIV surveillance : a 12 year analysis of HIV prevalence trends and comparing HIV prevalence from sentinel antenatal clinic surveys and prevention of mother-to-child programmes
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Essel, Vivien, Boulle, Andrew, and Pienaar, David
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virus diseases ,Public Health ,reproductive and urinary physiology ,female genital diseases and pregnancy complications - Abstract
Background Sentinel antenatal clinic (ANC) surveys remain a key source of data on HIV prevalence trends. Recently though, with an increase in the uptake of prevention of mother-to-child transmission (PMTCT) programmes, there have been debates on the prospects of using PMTCT data for reporting antenatal HIV prevalence and trends. Aim To describe the HIV prevalence trends for the Western Cape Province and to compare prevalence from ANC surveys to PMTCT programmes. Methods HIV prevalence and 95% confidence intervals were estimated from ANC surveys from 2001-2012 for the province as well as the 6 health districts and the 8 City of Cape Town Metropolitan sub-districts in the province. HIV prevalence from expanded provincial ANC survey sampling was compared to the nationally reported provincial and district estimates, before and after re-weighting to account for differences between the realized sample and updated sampling frame. A regression line was fitted with calendar year included as both a linear and quadratic term to create smoothed trend lines of the change in HIV prevalence over time by province, district, sub-district and age group. A multivariable logistic regression model was fitted to the multi-year ANC survey data to explore associations with HIV prevalence. ANC survey HIV prevalence estimates were compared to those from routinely reported HIV testing data from the PMTCT program for 2009-2012.
- Published
- 2015
27. SARS-CoV-2 seroepidemiology in Cape Town, South Africa, and implications for future outbreaks in low-income communities.
- Author
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Hussey H, Vreede H, Davies MA, Heekes A, Kalk E, Hardie D, van Zyl G, Naidoo M, Morden E, Bam JL, Zinyakatira N, Centner CM, Maritz J, Opie J, Chapanduka Z, Mahomed H, Smith M, Cois A, Pienaar D, Redd AD, Preiser W, Wilkinson R, Boulle A, and Hsiao NY
- Abstract
In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can help describe and characterise the extent of the pandemic, as well as elucidate protection conferred by prior exposure. We conducted repeated cross-sectional serosurveys (July 2020 -November 2021) using residual samples from patients from Cape Town, South Africa, sent for routine laboratory studies for non-COVID-19 conditions. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses. Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.19% (95% confidence interval [CI] 37.23-41.19) in July 2020 to 67.8% (95%CI 66.31-69.25) in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Using COVID-19 hospital admission and death data at the Provincial Health Data Centre, antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05-0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01-0.35). The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19 disease. In low-income communities, where diagnostic testing capacity is often limited, surveillance systems dependent on them will underestimate the true extent of an outbreak. Rapidly conducted seroprevalence studies can play an important role in addressing this., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Hussey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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28. Epidemiology and outcomes of SARS-CoV-2 infection associated with anti-nucleocapsid seropositivity in Cape Town, South Africa.
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Hussey H, Vreede H, Davies MA, Heekes A, Kalk E, Hardie D, van Zyl G, Naidoo M, Morden E, Bam JL, Zinyakatira N, Centner CM, Maritz J, Opie J, Chapanduka Z, Mahomed H, Smith M, Cois A, Pienaar D, Redd AD, Preiser W, Wilkinson R, Chetty K, Boulle A, and Hsiao NY
- Abstract
Background: In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can characterise the scale and determinants of the pandemic, as well as elucidate protection conferred by prior exposure., Methods: We conducted repeated cross-sectional serosurveys (July 2020 - November 2021) using residual plasma from routine convenient blood samples from patients with non-COVID-19 conditions from Cape Town, South Africa. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses, to estimate variant disease severity., Findings: Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.2% in July 2020 to 67.8% in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05-0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01-0.35)., Interpretation: The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19., Funding: Wellcome Trust, National Health Laboratory Service, the Division of Intramural Research, NIAID, NIH (ADR) and Western Cape Government Health.
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- 2022
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29. Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa.
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Davies MA, Morden E, Rosseau P, Arendse J, Bam JL, Boloko L, Cloete K, Cohen C, Chetty N, Dane P, Heekes A, Hsiao NY, Hunter M, Hussey H, Jacobs T, Jassat W, Kariem S, Kassanjee R, Laenen I, Le Roux S, Lessells R, Mahomed H, Maughan D, Meintjes G, Mendelson M, Mnguni A, Moodley M, Murie K, Naude J, Ntusi NAB, Paleker M, Parker A, Pienaar D, Preiser W, Prozesky H, Raubenheimer P, Rossouw L, Schrueder N, Smith B, Smith M, Solomon W, Symons G, Taljaard J, Wasserman S, Wilkinson RJ, Wolmarans M, Wolter N, and Boulle A
- Abstract
Objective: We aimed to compare clinical severity of Omicron BA.4/BA.5 infection with BA.1 and earlier variant infections among laboratory-confirmed SARS-CoV-2 cases in the Western Cape, South Africa, using timing of infection to infer the lineage/variant causing infection., Methods: We included public sector patients aged ≥20 years with laboratory-confirmed COVID-19 between 1-21 May 2022 (BA.4/BA.5 wave) and equivalent prior wave periods. We compared the risk between waves of (i) death and (ii) severe hospitalization/death (all within 21 days of diagnosis) using Cox regression adjusted for demographics, comorbidities, admission pressure, vaccination and prior infection., Results: Among 3,793 patients from the BA.4/BA.5 wave and 190,836 patients from previous waves the risk of severe hospitalization/death was similar in the BA.4/BA.5 and BA.1 waves (adjusted hazard ratio [aHR] 1.12; 95% confidence interval [CI] 0.93; 1.34). Both Omicron waves had lower risk of severe outcomes than previous waves. Prior infection (aHR 0.29, 95% CI 0.24; 0.36) and vaccination (aHR 0.17; 95% CI 0.07; 0.40 for boosted vs. no vaccine) were protective., Conclusion: Disease severity was similar amongst diagnosed COVID-19 cases in the BA.4/BA.5 and BA.1 periods in the context of growing immunity against SARS-CoV-2 due to prior infection and vaccination, both of which were strongly protective.
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- 2022
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30. Outcomes of laboratory-confirmed SARS-CoV-2 infection in the Omicron-driven fourth wave compared with previous waves in the Western Cape Province, South Africa.
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Davies MA, Kassanjee R, Rosseau P, Morden E, Johnson L, Solomon W, Hsiao NY, Hussey H, Meintjes G, Paleker M, Jacobs T, Raubenheimer P, Heekes A, Dane P, Bam JL, Smith M, Preiser W, Pienaar D, Mendelson M, Naude J, Schrueder N, Mnguni A, Roux SL, Murie K, Prozesky H, Mahomed H, Rossouw L, Wasserman S, Maughan D, Boloko L, Smith B, Taljaard J, Symons G, Ntusi N, Parker A, Wolter N, Jassat W, Cohen C, Lessells R, Wilkinson RJ, Arendse J, Kariem S, Moodley M, Vallabhjee K, Wolmarans M, Cloete K, and Boulle A
- Abstract
Objectives: We aimed to compare COVID-19 outcomes in the Omicron-driven fourth wave with prior waves in the Western Cape, the contribution of undiagnosed prior infection to differences in outcomes in a context of high seroprevalence due to prior infection, and whether protection against severe disease conferred by prior infection and/or vaccination was maintained., Methods: In this cohort study, we included public sector patients aged ≥20 years with a laboratory confirmed COVID-19 diagnosis between 14 November-11 December 2021 (wave four) and equivalent prior wave periods. We compared the risk between waves of the following outcomes using Cox regression: death, severe hospitalization or death and any hospitalization or death (all ≤14 days after diagnosis) adjusted for age, sex, comorbidities, geography, vaccination and prior infection., Results: We included 5,144 patients from wave four and 11,609 from prior waves. Risk of all outcomes was lower in wave four compared to the Delta-driven wave three (adjusted Hazard Ratio (aHR) [95% confidence interval (CI)] for death 0.27 [0.19; 0.38]. Risk reduction was lower when adjusting for vaccination and prior diagnosed infection (aHR:0.41, 95% CI: 0.29; 0.59) and reduced further when accounting for unascertained prior infections (aHR: 0.72). Vaccine protection was maintained in wave four (aHR for outcome of death: 0.24; 95% CI: 0.10; 0.58)., Conclusions: In the Omicron-driven wave, severe COVID-19 outcomes were reduced mostly due to protection conferred by prior infection and/or vaccination, but intrinsically reduced virulence may account for an approximately 25% reduced risk of severe hospitalization or death compared to Delta.
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- 2022
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31. An Evaluation of the Role of an Intermediate Care Facility in the Continuum of Care in Western Cape, South Africa.
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A Mabunda S, London L, and Pienaar D
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- Adult, Aged, Female, Health Services Research, Humans, Male, Middle Aged, Prospective Studies, South Africa, Continuity of Patient Care organization & administration, Intermediate Care Facilities, Primary Health Care organization & administration
- Abstract
Background: A comprehensive primary healthcare (PHC) approach requires clear referral and continuity of care pathways. South Africa is a lower-middle income country (LMIC) that lacks data on the role of intermediate care (IC) services in the health system. This study described the model of service provision at one facility in Cape Town, including reason for admission, the mix of services and skills provided and needed, patient satisfaction, patient outcome and articulation with other services across the spectrum of care., Methods: A multi-method design was used. Sixty-eight patients were recruited over one month in mid-2011 in a prospective cohort. Patient data were collected from clinical record review and an interviewer-administered questionnaire, administered shortly after admission to assess primary and secondary diagnosis, referring institution, knowledge of and previous use of home based care (HBC) services, reason for admission and demographics. A telephonic questionnaire at 9-weeks post-discharge recorded their vital status, use of HBC post-discharge and their satisfaction with care received. Staff members completed a self-administered questionnaire to describe demographics and skills. Cox regression was used to identify predictors of survival., Results: Of the 68 participants, 38% and 24% were referred from a secondary and tertiary hospital, respectively. Stroke (35%) was the most common single reason for admission. The three most common reasons reported why care was better at the IC facility were staff attitude, the presence of physiotherapy and the wound care. Even though most patients reported admission to another health facility in the preceding year, only 13 patients (21%) had ever accessed HBC and only 25% (n=15) of discharged patients used HBC post-discharge. Of the 57 patients traced on follow-up, 21(37%) had died. The presence of a Care-plan was significantly associated with a 62% lower risk of death (hazard ratio: 0.38; CI 0.15-0.97). Notably, 46% of staff members reported performing roles that were outside their scope of practice and there was a mismatch between what staff reported doing and their actual tasks., Conclusion: Clients understood this service as a caring environment primarily responsible for rehabilitation services. A Care-plan beyond admission could significantly reduce mortality. There was poor referral to and poor articulation with HBC services. IC services should be recognised as an integral part of the health system and should be accessible., (© 2018 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)
- Published
- 2018
- Full Text
- View/download PDF
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