190 results on '"Barasa E"'
Search Results
2. Progress Towards Elimination of Trachoma in Kenya 2017–2020.
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Ilako, D, Mwatha, S, Wanyama, Barasa E, Gichangi, M, Bore, J, Butcher, R, Bakhtiari, A, Boyd, S, Willis, R, Solomon, AW, Watitu, T, Chelanga, D, Nyakundi, P, Harding-Esch, EM, and Matendechero, SH
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TRACHOMA ,DISEASE prevalence ,DRUG administration ,TROPICAL medicine ,HYGIENE - Abstract
Purpose: Trachoma is endemic in Kenya. Since baseline trachoma surveys in 2004, a concerted programme has been undertaken to reduce the prevalence of disease. Here, we report on trachoma prevalence surveys carried out between 2017 and 2020 after interventions were implemented in some areas for trachoma elimination purposes. Methods: A total of 48 cross-sectional population-based trachoma prevalence surveys were conducted in 39 evaluation units (EUs; covering 45 subcounties) of Kenya between 2017 and 2020. Thirty EUs were surveyed once and nine EUs were surveyed twice over this period. Individuals ≥ 1 year old were assessed for trachomatous inflammation–follicular (TF), trachomatous inflammation–intense (TI) and trichiasis. Data were collected on household access to water, sanitation and hygiene (WASH). Results: A total of 147,573 people were examined. At the end of 2020, in the 39 EUs surveyed, the prevalence of TF in 1–9-year-olds was ≥5% in 11 EUs and the prevalence of trichiasis unknown to the health system in individuals aged ≥15 years was ≥0.2% in 25 EUs. A small minority of households (median <50% for all indicators) had access to improved WASH facilities. Conclusion: Kenya has made excellent progress towards elimination of trachoma as a public health problem. However, there is more work to do. Between one and three rounds of antibiotic mass drug administration are required in 11 EUs. Sustained investment in surgical provision, continued TT case-finding, promotion of facial cleanliness and environmental improvement are required throughout the surveyed area. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Analysing the Efficiency of Health Systems: A Systematic Review of the Literature
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Mbau, R, Musiega, A, Nyawira, L, Tsofa, B, Mulwa, A, Molyneux, S, Maina, I, Jemutai, J, Normand, C, Hanson, K, and Barasa, E
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Economics and Econometrics ,Health Policy ,General Medicine - Abstract
Background Efficiency refers the use of resources in ways that optimise desired outcomes. Health system efficiency is a priority concern for policy makers globally as countries aim to achieve universal health coverage, and face the additional challenge of an aging population. Efficiency analysis in the health sector has typically focused on the efficiency of healthcare facilities (hospitals, primary healthcare facilities), with few studies focusing on system level (national or sub-national) efficiency. We carried out a thematic review of literature that assessed the efficiency of health systems at the national and sub-national level. Methods We conducted a systematic search of PubMed and Google scholar between 2000 and 2021 and a manual search of relevant papers selected from their reference lists. A total of 131 papers were included. We analysed and synthesised evidence from the selected papers using a thematic approach (selecting, sorting, coding and charting collected data according to identified key issues and themes). Findings There were more publications from high- and upper middle-income countries (53%) than from low-income and lower middle-income countries. There were also more publications focusing on national level (60%) compared to sub-national health systems’ efficiency. Only 6% of studies used either qualitative methods or mixed methods while 94% used quantitative approaches. Data envelopment analysis, a non-parametric method, was the most common methodological approach used, followed by stochastic frontier analysis, a parametric method. A range of regression methods were used to identify the determinants of health system efficiency. While studies used a range of inputs, these generally considered the building blocks of health systems, health risk factors, and social determinants of health. Outputs used in efficiency analysis could be classified as either intermediate health service outputs (e.g., number of health facility visits), single health outcomes (e.g., infant mortality rate) or composite indices of either intermediate outputs of health outcomes (e.g., Health Adjusted Life Expectancy). Factors that were found to affect health system efficiency include demographic and socio-economic characteristics of the population, macro-economic characteristics of the national and sub-national regions, population health and wellbeing, the governance and political characteristics of these regions, and health system characteristics. Conclusion This review highlights the limited evidence on health system efficiency, especially in low- and middle-income countries. It also reveals the dearth of efficiency studies that use mixed methods approaches by incorporating qualitative inquiry. The review offers insights on the drivers of the efficiency of national and sub-national health systems, and highlights potential targets for reforms to improve health system efficiency.
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- 2022
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4. Examining the influence of budget execution processes on the efficiency of county health systems in Kenya
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Musiega, A, Tsofa, B, Nyawira, L, Njuguna, RG, Munywoki, J, Hanson, K, Mulwa, A, Molyneux, S, Maina, I, Normand, C, Jemutai, J, and Barasa, E
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Health Policy - Abstract
Public financial management (PFM) processes are a driver of health system efficiency. PFM happens within the budget cycle which entails budget formulation, execution and accountability. At the budget execution phase, budgets are implemented by spending as planned to generate a desired output or outcome. Understanding how the budget execution processes influence the use of inputs and the outcomes that result is important for maximizing efficiency. This study sought to explain how the budget execution processes influence the efficiency of health systems, an area that is understudied, using a case study of county health systems in Kenya. We conducted a concurrent mixed methods case study using counties classified as relatively efficient (n = 2) and relatively inefficient (n = 2). We developed a conceptual framework from a literature review to guide the development of tools and analysis. We collected qualitative data through document reviews and in-depth interviews (n = 70) with actors from health and finance sectors at the national and county level. We collected quantitative data from secondary sources, including budgets and budget reports. We analysed qualitative data using the thematic approach and carried out descriptive analyses on quantitative data. The budget execution processes within counties in Kenya were characterized by poor budget credibility, cash disbursement delays, limited provider autonomy and poor procurement practices. These challenges were linked to an inappropriate input mix that compromised the capacity of county health systems to deliver health-care services, misalignment between county health needs and the use of resources, reduced staff motivation and productivity, procurement inefficiencies and reduced county accountability for finances and performance. The efficiency of county health systems in Kenya can be enhanced by improving budget credibility, cash disbursement processes, procurement processes and provider autonomy.
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- 2023
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5. Improving facility-based care: eliciting tacit knowledge to advance intervention design
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English, M, Nzinga, J, Oliwa, J, Maina, M, Oluoch, D, Barasa, E, Irimu, G, Muinga, N, Vincent, C, and McKnight, J
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Government Programs ,Leadership ,Health Policy ,Public Health, Environmental and Occupational Health ,Humans - Abstract
Attention has turned to improving the quality and safety of healthcare within health facilities to reduce avoidable mortality and morbidity. Interventions should be tested in health system environments that can support their adoption if successful. To be successful, interventions often require changes in multiple behaviours making their consequences unpredictable. Here, we focus on this challenge of change at the mesolevel or microlevel. Drawing on multiple insights from theory and our own empirical work, we highlight the importance of engaging managers, senior and frontline staff and potentially patients to explore foundational questions examining three core resource areas. These span the physical or material resources available, workforce capacity and capability and team and organisational relationships. Deficits in all these resource areas may need to be addressed to achieve success. We also argue that as inertia is built into the complex social and human systems characterising healthcare facilities that thought on how to mobilise five motive forces is needed to help achieve change. These span goal alignment and ownership, leadership for change, empowering key actors, promoting responsive planning and procurement and learning for transformation. Our aim is to bridge the theory—practice gap and offer an entry point for practical discussions to elicit the critical tacit and contextual knowledge needed to design interventions. We hope that this may improve the chances that interventions are successful and so contribute to better facility-based care and outcomes while contributing to the development of learning health systems.
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- 2023
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6. Prevalence of Trachomatous Trichiasis in Ten Evaluation Units of Embu and Kitui Counties, Kenya.
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Ilako, D, Barasa, E, Gichangi, M, Mwatha, S, Watitu, T, Bore, J, Rajamani, A, Butcher, R, Flueckiger, RM, Bakhtiari, A, Willis, R, Solomon, AW, Harding-Esch, EM, and Matendechero, SH
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CHLAMYDIA trachomatis , *CHLAMYDIA infections , *YOUNG women , *CLUSTER sampling , *COUNTIES , *TRACHOMA - Abstract
Late-stage blinding sequalae of trachoma such as trachomatous trichiasis (TT) typically take decades to develop and often do so in the absence of ongoing ocular Chlamydia trachomatis infection. This suggests that most TT risk accumulates in early life; as a result, population-level TT incidence and prevalence can remain high years after C. trachomatis transmission among children has decreased. In Embu and Kitui counties, Kenya, the prevalence of trachomatous inflammation – follicular is low in children. In this survey, we set out to determine the prevalence of TT in ten evaluation units (EUs) in these counties. We undertook ten cross-sectional prevalence surveys for TT. In each EU, people aged ≥15 years were selected by a two-stage cluster sampling method and examined for TT. Those with TT were asked questions on whether they had been offered management for it. Prevalence was adjusted to the underlying age and gender structure of the population. A total of 18,987 people aged ≥15 years were examined. Per EU, the median number of examined participants was 1,656 (range: 1,451 − 3,016) and median response rate was 86% (range: 81 − 95%). The prevalence of TT unknown to the health system in people aged ≥15 years was above the threshold for elimination (≥0.2%) in all ten EUs studied (range: 0.2–0.7%). TT was significantly more common in older than younger individuals and in women than in men. Provision of surgical services should be strengthened in Embu and Kitui counties of Kenya to achieve the World Health Organization threshold for eliminating TT as a public health problem. [ABSTRACT FROM AUTHOR]
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- 2023
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7. Cost of TB services in healthcare facilities in Kenya (No 3)
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Kairu, A, Orangi, S, Oyando, R, Kabia, E, Nguhiu, P, Ong Ang O, J, Mwirigi, N, Laurence, YV, Kitson, N, Garcia Baena, I, Vassall, A, Barasa, E, Sweeney, S, and Cunnama, L
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Pulmonary and Respiratory Medicine ,Infectious Diseases ,Cost of Tb Series ,cost analysis ,Humans ,Health Facilities ,Delivery of Health Care ,Kenya ,tuberculosis services - Abstract
BACKGROUND: The reduction of Kenya´s TB burden requires improving resource allocation both to and within the National TB, Leprosy and Lung Disease Program (NTLD-P). We aimed to estimate the unit costs of TB services for budgeting by NTLD-P, and allocative efficiency analyses for future National Strategic Plan (NSP) costing.METHODS: We estimated costs of all TB interventions in a sample of 20 public and private health facilities from eight counties. We calculated national-level unit costs from a health provider´s perspective using bottom-up (BU) and top-down (TD) approaches for the financial year 2017–2018 using Microsoft Excel and STATA v16.RESULTS: The mean unit cost for passive case-finding (PCF) was respectively US$38 and US$60 using the BU and TD approaches. The unit BU and TD costs of a 6-month first-line treatment (FLT) course, including monitoring tests, was respectively US$135 and US$160, while those for adult drug-resistant TB (DR-TB) treatment was respectively US$3,230.28 and US$3,926.52 for the 9-month short regimen. Intervention costs highlighted variations between BU and TD approaches. Overall, TD costs were higher than BU, as these are able to capture more costs due to inefficiency (breaks/downtime/leave).CONCLUSION: The activity-based TB unit costs form a comprehensive cost database, and the costing process has built-in capacity within the NTLD-P and international TB research networks, which will inform future TB budgeting processes.
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- 2021
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8. Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study
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Otiende, M, primary, Nyaguara, A, additional, Bottomley, C, additional, Walumbe, D, additional, Mochamah, G, additional, Amadi, D, additional, Nyundo, C, additional, Kagucia, EW, additional, Etyang, AO, additional, Adetifa, IMO, additional, Brand, SPC, additional, Maitha, E, additional, Chondo, E, additional, Nzomo, E, additional, Aman, R, additional, Mwangangi, M, additional, Amoth, P, additional, Kasera, K, additional, Ng’ang’a, W, additional, Barasa, E, additional, Tsofa, B, additional, Mwangangi, J, additional, Bejon, P, additional, Agweyu, A, additional, Williams, TN, additional, and Scott, JAG, additional
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- 2022
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9. SARS-CoV-2 seroprevalence and implications for population immunity: Evidence from two Health and Demographic Surveillance System sites in Kenya, February-June 2022
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Kagucia, EW, primary, Ziraba, AK, additional, Nyagwange, J, additional, Kutima, B, additional, Kimani, M, additional, Akech, D, additional, Ng’oda, M, additional, Sigilai, A, additional, Mugo, D, additional, Karanja, H, additional, Gitonga, J, additional, Karani, A, additional, Toroitich, M, additional, Karia, B, additional, Otiende, M, additional, Njeri, A, additional, Aman, R, additional, Amoth, P, additional, Mwangangi, M, additional, Kasera, K, additional, Ng’ang’a, W, additional, Voller, S, additional, Ochola-Oyier, LI, additional, Bottomley, C, additional, Nyaguara, A, additional, Munywoki, PK, additional, Bigogo, G, additional, Maitha, E, additional, Uyoga, S, additional, Gallagher, KE, additional, Etyang, AO, additional, Barasa, E, additional, Mwangangi, J, additional, Bejon, P, additional, Adetifa, IMO, additional, Warimwe, GM, additional, Scott, JAG, additional, and Agweyu, A, additional
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- 2022
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10. Essential Emergency and Critical Care as a health system response to critical illness and the COVID19 pandemic: What does it cost?
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Guinness, L, Kairu, A, Kuwawenaruwa, A, Khalid, K, Awadh, K, Were, V, Barasa, E, Shah, H, Baker, P, Schell, CO, and Baker, T
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Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi ,Critical care ,Sub-Saharan Africa ,Cost ,Health Policy ,Essential emergency critical care ,Omvårdnad ,COVID-19 ,Health Care Service and Management, Health Policy and Services and Health Economy ,Nursing ,Kenya ,Tanzania - Abstract
Essential Emergency and Critical Care (EECC) is a novel approach to the care of critically ill patients, focusing on first-tier, effective, low-cost, life-saving care and designed to be feasible even in low-resourced and low-staffed settings. This is distinct from advanced critical care, usually conducted in ICUs with specialised staff, facilities and technologies. This paper estimates the incremental cost of EECC and advanced critical care for the planning of care for critically ill patients in Tanzania and Kenya.The incremental costing took a health systems perspective. A normative approach based on the ingredients defined through the recently published global consensus on EECC was used. The setting was a district hospital in which the patient is provided with the definitive care typically provided at that level for their condition. Quantification of resource use was based on COVID-19 as a tracer condition using clinical expertise. Local prices were used where available, and all costs were converted to USD2020.The costs per patient day of EECC is estimated to be 1 USD, 11 USD and 33 USD in Tanzania and 2 USD, 14 USD and 37 USD in Kenya, for moderate, severe and critical COVID-19 patients respectively. The cost per patient day of advanced critical care is estimated to be 13 USD and 294 USD in Tanzania and USD 17 USD and 345 USD in Kenya for severe and critical COVID-19 patients, respectively.EECC is a novel approach for providing the essential care to all critically ill patients. The low costs and lower tech approach inherent in delivering EECC mean that EECC could be provided to many and suggests that prioritizing EECC over ACC may be a rational approach when resources are limited. Graphical Abstract
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- 2022
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11. Scaling up the primary health integrated care project for chronic conditions in Kenya: study protocol for an implementation research project
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Nolte, E, Kamano, JH, Naanyu, V, Etyang, A, Gasparrini, A, Hanson, K, Koros, H, Mugo, R, Murphy, A, Oyando, R, Pliakas, T, Were, V, Willis, R, Barasa, E, and Perel, P
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Cohort Studies ,Cross-Sectional Studies ,Delivery of Health Care, Integrated ,Chronic Disease ,Humans ,General Medicine ,Health Services ,Kenya - Abstract
IntroductionAmid the rising number of people with non-communicable diseases (NCDs), Kenya has invested in strengthening primary care and in efforts to expand existing service delivery platforms to integrate NCD care. One such approach is the AMPATH (Academic Model Providing Access to Healthcare) model in western Kenya, which provides the platform for the Primary Health Integrated Care Project for Chronic Conditions (PIC4C), launched in 2018 to further strengthen primary care services for the prevention and control of hypertension, diabetes, breast and cervical cancer. This study seeks to understand how well PIC4C delivers on its intended aims and to inform and support scale up of the PIC4C model for integrated care for people with NCDs in Kenya.Methods and analysisThe study is guided by a conceptual framework on implementing, sustaining and spreading innovation in health service delivery. We use a multimethod design combining qualitative and quantitative approaches, involving: (1) in-depth interviews with health workers and decision-makers to explore experiences of delivering PIC4C; (2) a cross-sectional survey of patients with diabetes or hypertension and in-depth interviews to understand how well PIC4C meets patients’ needs; (3) a cohort study with an interrupted time series analysis to evaluate the degree to which PIC4C leads to health benefits such as improved management of hypertension or diabetes; and (4) a cohort study of households to examine the extent to which the national hospital insurance chronic care package provides financial risk protection to people with hypertension or diabetes within PIC4C.Ethics and disseminationThe study has received approvals from Moi University Institutional Research and Ethics Committee (FAN:0003586) and the London School of Hygiene & Tropical Medicine (17940). Workshops with key stakeholders at local, county, national and international levels will ensure early and wide dissemination of our findings to inform scale up of this model of care. We will also publish findings in peer-reviewed journals.
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- 2022
12. Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in three Kenyan referral hospitals: Repeated cross-sectional surveys 2020-21
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Lucinde, RK, Mugo, D, Bottomley, C, Karani, A, Gardiner, E, Aziza, R, Gitonga, JN, Karanja, H, Nyagwange, J, Tuju, J, Wanjiku, P, Nzomo, E, Kamuri, E, Thuranira, K, Agunda, S, Nyutu, G, Etyang, AO, Adetifa, IMO, Kagucia, E, Uyoga, S, Otiende, M, Otieno, E, Ndwiga, L, Agoti, CN, Aman, RA, Mwangangi, M, Amoth, P, Kasera, K, Nyaguara, A, Ng'ang'a, W, Ochola, LB, Namdala, E, Gaunya, O, Okuku, R, Barasa, E, Bejon, P, Tsofa, B, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A, Scott, JAG, and Gallagher, KE
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Multidisciplinary ,SARS-CoV-2 ,COVID-19 ,Prenatal Care ,Antibodies, Viral ,Kenya ,Hospitals ,Cross-Sectional Studies ,Pregnancy ,Seroepidemiologic Studies ,Immunoglobulin G ,Spike Glycoprotein, Coronavirus ,Humans ,Female ,Pregnancy Complications, Infectious ,Referral and Consultation - Abstract
Introduction The high proportion of SARS-CoV-2 infections that have remained undetected presents a challenge to tracking the progress of the pandemic and estimating the extent of population immunity. Methods We used residual blood samples from women attending antenatal care services at three hospitals in Kenya between August 2020 and October 2021and a validated IgG ELISA for SARS-Cov-2 spike protein and adjusted the results for assay sensitivity and specificity. We fitted a two-component mixture model as an alternative to the threshold analysis to estimate of the proportion of individuals with past SARS-CoV-2 infection. Results We estimated seroprevalence in 2,981 women; 706 in Nairobi, 567 in Busia and 1,708 in Kilifi. By October 2021, 13% of participants were vaccinated (at least one dose) in Nairobi, 2% in Busia. Adjusted seroprevalence rose in all sites; from 50% (95%CI 42–58) in August 2020, to 85% (95%CI 78–92) in October 2021 in Nairobi; from 31% (95%CI 25–37) in May 2021 to 71% (95%CI 64–77) in October 2021 in Busia; and from 1% (95% CI 0–3) in September 2020 to 63% (95% CI 56–69) in October 2021 in Kilifi. Mixture modelling, suggests adjusted cross-sectional prevalence estimates are underestimates; seroprevalence in October 2021 could be 74% in Busia and 72% in Kilifi. Conclusions There has been substantial, unobserved transmission of SARS-CoV-2 in Nairobi, Busia and Kilifi Counties. Due to the length of time since the beginning of the pandemic, repeated cross-sectional surveys are now difficult to interpret without the use of models to account for antibody waning.
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- 2022
13. Designing and Implementing Deliberative Processes for Health Technology Assessment: A Good Practices Report of a Joint HTAi/ISPOR Task Force.
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Oortwijn, W.J., Husereau, D., Abelson, J., Barasa, E., Bayani, D.D., Canuto Santos, V., Culyer, A., Facey, K., Grainger, D., Kieslich, K., Ollendorf, D., Pichon-Riviere, A., Sandman, L., Strammiello, V., Teerawattananon, Y., Oortwijn, W.J., Husereau, D., Abelson, J., Barasa, E., Bayani, D.D., Canuto Santos, V., Culyer, A., Facey, K., Grainger, D., Kieslich, K., Ollendorf, D., Pichon-Riviere, A., Sandman, L., Strammiello, V., and Teerawattananon, Y.
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- 2022
14. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance
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Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, Wilkinson, E, Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, and Wilkinson, E
- Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
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- 2022
15. Impact of the COVID-19 epidemic on mortality in rural coastal Kenya
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Otiende, M, primary, Nyaguara, A, additional, Bottomley, C, additional, Walumbe, D, additional, Mochamah, G, additional, Amadi, D, additional, Nyundo, C, additional, Kagucia, EW, additional, Etyang, AO, additional, Adetifa, IMO, additional, Maitha, E, additional, Chondo, E, additional, Nzomo, E, additional, Aman, R, additional, Mwangangi, M, additional, Amoth, P, additional, Kasera, K, additional, Ng’ang’a, W, additional, Barasa, E, additional, Tsofa, B, additional, Mwangangi, J, additional, Bejon, P, additional, Agweyu, A, additional, Williams, TN, additional, and Scott, JAG, additional
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- 2022
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16. Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in three Kenyan referral hospitals: repeated cross-sectional surveys 2020-21
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Lucinde, R., primary, Mugo, D., additional, Bottomley, C., additional, Karani, A., additional, Gardiner, E., additional, Aziza, R, additional, Gitonga, J., additional, Karanja, H., additional, Nyagwange, J., additional, Tuju, J., additional, Wanjiku, P., additional, Nzomo, E., additional, Kamuri, E., additional, Thuranira, K., additional, Agunda, S., additional, Nyutu, G., additional, Etyang, A., additional, Adetifa, I. M. O., additional, Kagucia, E., additional, Uyoga, S., additional, Otiende, M., additional, Otieno, E., additional, Ndwiga, L., additional, Agoti, C. N., additional, Aman, R. A., additional, Mwangangi, M., additional, Amoth, P., additional, Kasera, K., additional, Nyaguara, A., additional, Ng’ang’a, W., additional, Ochola, L. B., additional, Namdala, E., additional, Gaunya, O, additional, Okuku, R, additional, Barasa, E., additional, Bejon, P., additional, Tsofa, B., additional, Ochola-Oyier, L. I., additional, Warimwe, G. M., additional, Agweyu, A., additional, Scott, J. A. G., additional, and Gallagher, K. E., additional
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- 2022
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17. Examining the unit costs of COVID-19 vaccine delivery in Kenya
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Orangi, S, Kairu, A, Ngatia, A, Ojal, J, and Barasa, E
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COVID-19 Vaccines ,Immunization Programs ,Health Policy ,COVID-19 ,Humans ,Kenya ,Pandemics - Abstract
Background Vaccines are considered the path out of the COVID-19 pandemic. The government of Kenya is implementing a phased strategy to vaccinate the Kenyan population, initially targeting populations at high risk of severe disease and infection. We estimated the financial and economic unit costs of procuring and delivering the COVID-19 vaccine in Kenya across various vaccination strategies. Methods We used an activity-based costing approach to estimate the incremental costs of COVID-19 vaccine delivery, from a health systems perspective. Document reviews and key informant interviews(n = 12) were done to inform the activities, assumptions and the resources required. Unit prices were derived from document reviews or from market prices. Both financial and economic vaccine procurement costs per person vaccinated with 2-doses, and the vaccine delivery costs per person vaccinated with 2-doses were estimated and reported in 2021USD. Results The financial costs of vaccine procurement per person vaccinated with 2-doses ranged from $2.89-$13.09 in the 30% and 100% coverage levels respectively, however, the economic cost was $17.34 across all strategies. Financial vaccine delivery costs per person vaccinated with 2-doses, ranged from $4.28-$3.29 in the 30% and 100% coverage strategies: While the economic delivery costs were two to three times higher than the financial costs. The total procurement and delivery costs per person vaccinated with 2-doses ranged from $7.34-$16.47 for the financial costs and $29.7-$24.68 for the economic costs for the 30% and 100% coverage respectively. With the exception of procurement costs, the main cost driver of financial and economic delivery costs was supply chain costs (47–59%) and advocacy, communication and social mobilization (29–35%) respectively. Conclusion This analysis presents cost estimates that can be used to inform local policy and may further inform parameters used in cost-effectiveness models. The results could potentially be adapted and adjusted to country-specific assumptions to enhance applicability in similar low-and middle-income settings.
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- 2022
18. Seroprevalence of antibodies to SARS-CoV-2 among health care workers in Kenya
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Etyang, AO, Lucinde, R, Karanja, H, Kalu, C, Mugo, D, Nyagwange, J, Gitonga, J, Tuju, J, Wanjiku, P, Karani, A, Mutua, S, Maroko, H, Nzomo, E, Maitha, E, Kamuri, E, Kaugiria, T, Weru, J, Ochola, LB, Kilimo, N, Charo, S, Emukule, N, Moracha, W, Mukabi, D, Okuku, R, Ogutu, M, Angujo, B, Otiende, M, Bottomley, C, Otieno, E, Ndwiga, L, Nyaguara, A, Voller, S, Agoti, C, Nokes, DJ, Ochola-Oyier, LI, Aman, R, Amoth, P, Mwangangi, M, Kasera, K, Ng'ang'a, W, Adetifa, I, Kagucia, EW, Gallagher, K, Uyoga, S, Tsofa, B, Barasa, E, Bejon, P, Scott, JAG, Agweyu, A, and Warimwe, G
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QR180 ,virus diseases ,RA - Abstract
Background Few studies have assessed the seroprevalence of antibodies against SARS-CoV-2 among Health Care Workers (HCWs) in Africa. We report findings from a survey among HCWs in three counties in Kenya. Methods We recruited 684 HCWs from Kilifi (rural), Busia (rural) and Nairobi (urban) counties. The serosurvey was conducted between 30th July 2020 and 4th December 2020. We tested for IgG antibodies to SARS-CoV-2 spike protein using ELISA. Assay sensitivity and specificity were 93% (95% CI 88-96%) and 99% (95% CI 98-99.5%), respectively. We adjusted prevalence estimates using Bayesian modeling to account for assay performance. Results Crude overall seroprevalence was 19.7% (135/684). After adjustment for assay performance seroprevalence was 20.8% (95% CrI 17.5-24.4%). Seroprevalence varied significantly (p Conclusion These initial data demonstrate a high seroprevalence of antibodies to SARS-CoV-2 among HCWs in Kenya. There was significant variation in seroprevalence by region, but not by cadre.
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- 2022
19. Prevalence of Trachomatous Trichiasis in Ten Evaluation Units of Embu and Kitui Counties, Kenya
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Ilako, D, primary, Barasa, E, additional, Gichangi, M, additional, Mwatha, S, additional, Watitu, T, additional, Bore, J, additional, Rajamani, A, additional, Butcher, R, additional, Flueckiger, RM, additional, Bakhtiari, A, additional, Willis, R, additional, Solomon, AW, additional, Harding-Esch, EM, additional, and Matendechero, SH, additional
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- 2022
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20. Experience of Kenyan researchers and policy-makers with knowledge translation during COVID-19: a qualitative interview study
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Guleid, FH, Njeru, A, Kiptim, J, Kamuya, DM, Okiro, E, Tsofa, B, English, M, Molyneux, S, Kariuki, D, and Barasa, E
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Policy ,COVID-19 ,Humans ,General Medicine ,Emergencies ,Kenya ,Pandemics ,Translational Science, Biomedical ,Qualitative Research - Abstract
ObjectivesResearchers at the KEMRI-Wellcome Trust Research Programme (KWTRP) carried out knowledge translation (KT) activities to support policy-makers as the Kenyan Government responded to the COVID-19 pandemic. We assessed the usefulness of these activities to identify the facilitators and barriers to KT and suggest actions that facilitate KT in similar settings.DesignThe study adopted a qualitative interview study design.Setting and participantsResearchers at KWTRP in Kenya who were involved in KT activities during the COVID-19 pandemic (n=6) were selected to participate in key informant interviews to describe their experience. In addition, the policy-makers with whom these researchers engaged were invited to participate (n=11). Data were collected from March 2021 to August 2021.AnalysisA thematic analysis approach was adopted using a predetermined framework to develop a coding structure consisting of the core thematic areas. Any other theme that emerged in the coding process was included.ResultsBoth groups reported that the KT activities increased evidence availability and accessibility, enhanced policy-makers’ motivation to use evidence, improved capacity to use research evidence and strengthened relationships. Policy-makers shared that a key facilitator of this was the knowledge products shared and the regular interaction with researchers. Both groups mentioned that a key barrier was the timeliness of generating evidence, which was exacerbated by the pandemic. They felt it was important to institutionalise KT to improve readiness to respond to public health emergencies.ConclusionThis study provides a real-world example of the use of KT during a public health crisis. It further highlights the need to institutionalise KT in research and policy institutions in African countries to respond readily to public health emergencies.
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- 2022
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21. 'The outsiders from within' - Coping and adaptive strategies for systems resilience in the process of implementing political devolution within the health sector in Kenya
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Tsofa, B, Molyneux, S, Malingi, T, and Barasa, E
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- 2020
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22. Prevention of violence against women and girls: A cost-effectiveness study across 6 low- and middle-income countries
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Ferrari, G, Torres-Rueda, S, Chirwa, E, Gibbs, A, Orangi, S, Barasa, E, Tawiah, T, Dwommoh Prah, RK, Hitimana, R, Daviaud, E, Kapapa, E, Dunkle, K, Heise, L, Stern, E, Chatterji, S, Omondi, B, Ogum Alangea, D, Karmaliani, R, Maqbool Ahmed Khuwaja, H, Jewkes, R, Watts, C, and Vassall, A
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Adult ,Male ,Adolescent ,Cost-Benefit Analysis ,HQ The family. Marriage. Woman ,General Medicine ,Violence ,HV Social pathology. Social and public welfare. Criminology ,South Africa ,Humans ,Female ,Child ,Developing Countries ,Poverty ,health care economics and organizations - Abstract
Background Violence against women and girls (VAWG) is a human rights violation with social, economic, and health consequences for survivors, perpetrators, and society. Robust evidence on economic, social, and health impact, plus the cost of delivery of VAWG prevention, is critical to making the case for investment, particularly in low- and middle-income countries (LMICs) where health sector resources are highly constrained. We report on the costs and health impact of VAWG prevention in 6 countries. Methods and findings We conducted a trial-based cost-effectiveness analysis of VAWG prevention interventions using primary data from 5 randomised controlled trials (RCTs) in sub-Saharan Africa and 1 in South Asia. We evaluated 2 school-based interventions aimed at adolescents (11 to 14 years old) and 2 workshop-based (small group or one to one) interventions, 1 community-based intervention, and 1 combined small group and community-based programme all aimed at adult men and women (18+ years old). All interventions were delivered between 2015 and 2018 and were compared to a do-nothing scenario, except for one of the school-based interventions (government-mandated programme) and for the combined intervention (access to financial services in small groups). We computed the health burden from VAWG with disability-adjusted life year (DALY). We estimated per capita DALYs averted using statistical models that reflect each trial’s design and any baseline imbalances. We report cost-effectiveness as cost per DALY averted and characterise uncertainty in the estimates with probabilistic sensitivity analysis (PSA) and cost-effectiveness acceptability curves (CEACs), which show the probability of cost-effectiveness at different thresholds. We report a subgroup analysis of the small group component of the combined intervention and no other subgroup analysis. We also report an impact inventory to illustrate interventions’ socioeconomic impact beyond health. We use a 3% discount rate for investment costs and a 1-year time horizon, assuming no effects post the intervention period. From a health sector perspective, the cost per DALY averted varies between US$222 (2018), for an established gender attitudes and harmful social norms change community-based intervention in Ghana, to US$17,548 (2018) for a livelihoods intervention in South Africa. Taking a societal perspective and including wider economic impact improves the cost-effectiveness of some interventions but reduces others. For example, interventions with positive economic impacts, often those with explicit economic goals, offset implementation costs and achieve more favourable cost-effectiveness ratios. Results are robust to sensitivity analyses. Our DALYs include a subset of the health consequences of VAWG exposure; we assume no mortality impact from any of the health consequences included in the DALYs calculations. In both cases, we may be underestimating overall health impact. We also do not report on participants’ health costs. Conclusions We demonstrate that investment in established community-based VAWG prevention interventions can improve population health in LMICs, even within highly constrained health budgets. However, several VAWG prevention interventions require further modification to achieve affordability and cost-effectiveness at scale. Broadening the range of social, health, and economic outcomes captured in future cost-effectiveness assessments remains critical to justifying the investment urgently required to prevent VAWG globally.
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- 2022
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23. HTA16 Eliciting Preferences for Health Technology Assessment Criteria Using Analytic Hierarchy Process and Discrete Choice Experiment in Kenya
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Obadha, M., Mumbi, A., Njuguna, R.G., Orangi, S., Nguhiu, P., Ngaiza, G., Omollo, H., Njeru, N., and Barasa, E.
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- 2023
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24. Epidemiology of COVID-19 infections on routine polymerase chain reaction (PCR) and serology testing in Coastal Kenya
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Nyagwange, J, Ndwiga, L, Muteru, K, Wamae, K, Tuju, J, Testing Team, C, Kutima, B, Gitonga, J, Karanja, H, Mugo, D, Kasera, K, Amoth, P, Murunga, N, Babu, L, Otieno, E, Githinji, G, Nokes, DJ, Tsofa, B, Orindi, B, Barasa, E, Warimwe, G, Agoti, CN, Bejon, P, and Ochola-Oyier, LI
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Medicine (miscellaneous) ,General Biochemistry, Genetics and Molecular Biology - Abstract
Background: There are limited studies in Africa describing the epidemiology, clinical characteristics and serostatus of individuals tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We tested routine samples from the Coastal part of Kenya between 17th March 2020 and 30th June 2021. Methods: SARS-CoV-2 infections identified using reverse transcription polymerase chain reaction (RT-PCR) and clinical surveillance data at the point of sample collection were used to classify as either symptomatic or asymptomatic. IgG antibodies were measured in sera samples, using a well validated in-house enzyme-linked immunosorbent assay (ELISA). Results: Mombasa accounted for 56.2% of all the 99,694 naso-pharyngeal/oro-pharyngeal swabs tested, and males constituted the majority tested (73.4%). A total of 7737 (7.7%) individuals were SARS-CoV-2 positive by RT-PCR. The majority (i.e., 92.4%) of the RT-PCR positive individuals were asymptomatic. Testing was dominated by mass screening and travellers, and even at health facility level 91.6% of tests were from individuals without symptoms. Out of the 97,124 tests from asymptomatic individuals 7,149 (7%) were positive and of the 2,568 symptomatic individuals 588 (23%) were positive. In total, 2458 serum samples were submitted with paired naso-pharyngeal/oro-pharyngeal samples and 45% of the RT-PCR positive samples and 20% of the RT-PCR negative samples were paired with positive serum samples. Symptomatic individuals had significantly higher antibody levels than asymptomatic individuals and become RT-PCR negative on repeat testing earlier than asymptomatic individuals. Conclusions: In conclusion, the majority of SARS-CoV-2 infections identified by routine testing in Coastal Kenya were asymptomatic. This reflects the testing practice of health services in Kenya, but also implies that asymptomatic infection is very common in the population. Symptomatic infection may be less common, or it may be that individuals do not present for testing when they have symptoms.
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- 2022
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25. On the resilience of health systems: A methodological exploration across countries in the WHO African Region
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Karamagi, HC, Titi-Ofei, R, Kipruto, HK, Seydi, AB-W, Droti, B, Talisuna, A, Tsofa, B, Saikat, S, Schmets, G, Barasa, E, Tumusiime, P, Makubalo, L, Cabore, JW, and Moeti, M
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Viral Diseases ,Critical Care and Emergency Medicine ,Epidemiology ,Political Science ,Science ,Social Sciences ,Disaster Planning ,Political Aspects of Health ,Global Health ,World Health Organization ,Geographical locations ,South Africa ,Medical Conditions ,Medicine and Health Sciences ,Humans ,Public and Occupational Health ,Health Systems Strengthening ,Pandemics ,Health Services Needs and Demand ,Health Care Policy ,Medical Assistance ,Multidisciplinary ,SARS-CoV-2 ,COVID-19 ,Reproducibility of Results ,Covid 19 ,Resilience, Psychological ,Health Care ,Infectious Diseases ,Africa ,Health Resources ,Medicine ,People and places ,Delivery of Health Care ,Research Article - Abstract
The need for resilient health systems is recognized as important for the attainment of health outcomes, given the current shocks to health services. Resilience has been defined as the capacity to “prepare and effectively respond to crises; maintain core functions; and, informed by lessons learnt, reorganize if conditions require it”. There is however a recognized dichotomy between its conceptualization in literature, and its application in practice. We propose two mutually reinforcing categories of resilience, representing resilience targeted at potentially known shocks, and the inherent health system resilience, needed to respond to unpredictable shock events. We determined capacities for each of these categories, and explored this methodological proposition by computing country-specific scores against each capacity, for the 47 Member States of the WHO African Region. We assessed face validity of the computed index, to ensure derived values were representative of the different elements of resilience, and were predictive of health outcomes, and computed bias-corrected non-parametric confidence intervals of the emergency preparedness and response (EPR) and inherent system resilience (ISR) sub-indices, as well as the overall resilience index, using 1000 bootstrap replicates. We also explored the internal consistency and scale reliability of the index, by calculating Cronbach alphas for the various proposed capacities and their corresponding attributes. We computed overall resilience to be 48.4 out of a possible 100 in the 47 assessed countries, with generally lower levels of ISR. For ISR, the capacities were weakest for transformation capacity, followed by mobilization of resources, awareness of own capacities, self-regulation and finally diversity of services respectively. This paper aims to contribute to the growing body of empirical evidence on health systems and service resilience, which is of great importance to the functionality and performance of health systems, particularly in the context of COVID-19. It provides a methodological reflection for monitoring health system resilience, revealing areas of improvement in the provision of essential health services during shock events, and builds a case for the need for mechanisms, at country level, that address both specific and non-specific shocks to the health system, ultimately for the attainment of improved health outcomes.
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- 2022
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26. Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in two Kenyan referral hospitals
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Lucinde, R., primary, Mugo, D., additional, Bottomley, C., additional, Aziza, R, additional, Gitonga, J., additional, Karanja, H., additional, Nyagwange, J., additional, Tuju, J., additional, Wanjiku, P., additional, Nzomo, E., additional, Kamuri, E., additional, Thuranira, K., additional, Agunda, S., additional, Nyutu, G., additional, Etyang, A., additional, Adetifa, I. M. O., additional, Kagucia, E., additional, Uyoga, S., additional, Otiende, M., additional, Otieno, E., additional, Ndwiga, L., additional, Agoti, C. N., additional, Aman, R., additional, Mwangangi, M., additional, Amoth, P., additional, Kasera, K., additional, Nyaguara, A., additional, Ng’ang’a, W., additional, Ochola, L. B., additional, Barasa, E., additional, Bejon, P., additional, Tsofa, B., additional, Ochola-Oyier, L. I., additional, Warimwe, G. M., additional, Agweyu, A., additional, Scott, J. A. G., additional, and Gallagher, K. E., additional
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- 2021
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27. Justice: a key consideration in health policy and systems research ethics
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Pratt, B, Wild, V, Barasa, E, Kamuya, D, Gilson, L, Hendl, T, Molyneux, S, Pratt, B, Wild, V, Barasa, E, Kamuya, D, Gilson, L, Hendl, T, and Molyneux, S
- Abstract
Health policy and systems research (HPSR) is increasingly being funded and conducted worldwide. There are currently no specific guidelines or criteria for the ethical review and conduct of HPSR. Academic debates on HPSR ethics in the scholarly literature can inform the development of guidelines. Yet there is a deficiency of academic bioethics work relating tojusticein HPSR. This gap is especially problematic for a field like HPSR, which can entail studies that intervene in ways affecting the social and health system delivery structures of society. In this paper, we call for interpreting the principle of justice in a more expansive way in developing and reviewing HPSR studies (relative to biomedical research). The principle requires advancing health equity and social justice at population or systems levels. Drawing on the rich justice literature from political philosophy and public health ethics, we propose a set of essential justice considerations to uphold this principle. These considerations are relevant for research funders, researchers, research ethics committees, policymakers, community organisations and others who are active in the HPSR field.
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- 2020
28. Learning sites for health system governance in Kenya and South Africa: reflecting on our experience.
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The RESYST/DIAHLS learning site team, Barasa, E., Boga, M., Kagwanja, N., Kinyanjui, S., Molyneux, C., Nyikuri, M., Nzinga, J., Tsofa, B., Waithaka, D., Waweru, E., Abdulahi, O., Malingi, T., Omar, A., Mazoya, B., Leli, H., Mataza, C., Brady, L., Cleary, S., and Daire, J.
- Subjects
- *
MIDDLE-income countries , *ACTIVE learning , *WORK values , *RESEARCH funding - Abstract
Background: Health system governance is widely recognised as critical to well-performing health systems in low- and middle-income countries. However, in 2008, the Alliance for Health Policy and Systems Research identified governance as a neglected health systems research issue. Given the demands of such research, the Alliance recommended applying qualitative approaches and institutional analysis as well as implementing cross-country research programmes in engagement with policy-makers and managers. This Commentary reports on a 7-year programme of work that addressed these recommendations by establishing, in partnership with health managers, three district-level learning sites that supported real-time learning about the micro-practices of governance - that is, managers' and health workers' everyday practices of decision-making.Paper Focus: The paper's specific focus is methodological and it seeks to prompt wider discussion about the long-term and engaged nature of learning-site work for governance research. It was developed through processes of systematic reflection within and across the learning sites. In the paper, we describe the learning sites and our research approach, and highlight the set of wider activities that spun out of the research partnership, which both supported the research and enabled it to reach wider audiences. We also separately present the views of managers and researchers about the value of this work and reflect carefully on four critiques of the overall approach, drawing on wider co-production literature.Conclusions: Ultimately, the key lessons we draw from these experiences are that learning sites offer particular opportunities not only to understand the everyday realities of health system governance but also to support emergent system change led by health managers; the wider impacts of this type of research are enabled by working up the system as well as by infusing research findings into teaching and other activities, and this requires supportive organisational environments, some long-term research funding, recognising the professional and personal risks involved, and sustaining activities over time by paying attention to relationships; and working in multiple settings deepens learning for both researchers and managers. We hope the paper stimulates further reflection about research on health system governance and about co-production as a research approach. [ABSTRACT FROM AUTHOR]- Published
- 2020
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29. Measuring progress towards Sustainable Development Goal 3.8 on universal health coverage in Kenya
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Barasa, E, Nguhiu, P, and McIntyre, D
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Sustainable development ,Index (economics) ,Health economics ,business.industry ,030503 health policy & services ,Health Policy ,Financial risk ,media_common.quotation_subject ,1. No poverty ,Public Health, Environmental and Occupational Health ,Payment ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,11. Sustainability ,Health care ,Global health ,Position (finance) ,030212 general & internal medicine ,Business ,0305 other medical science ,10. No inequality ,media_common - Abstract
BackgroundThe inclusion of universal health coverage (UHC) as a health-related Sustainable Development Goal has cemented its position as a key global health priority. We aimed to develop a summary measure of UHC for Kenya and track the country’s progress between 2003 and 2013.MethodsWe developed a summary index for UHC by computing the geometrical mean of indicators for the two dimensions of UHC, service coverage (SC) and financial risk protection (FRP). The SC indicator was computed as the geometrical mean of preventive and treatment indicators, while the financial protection indicator was computed as a geometrical mean of an indicator for the incidence of catastrophic healthcare expenditure, and the impoverishing effect of healthcare payments. We analysed data from three waves of two nationally representative household surveys.FindingsThe weighted summary indicator for SC increased from 27.65% (27.13%–28.14%) in 2003 to 41.73% (41.34%–42.12%) in 2013, while the summary indicator for FRP reduced from 69.82% (69.11%–70.51%) in 2003 to 63.78% (63.55%–63.82%) in 2013. Inequities were observed in both these indicators. The weighted summary measure of UHC increased from 43.94% (95% CI 43.48% to 44.38%) in 2003 to 51.55% (95% CI 51.29% to 51.82%) in 2013.ConclusionSignificant gaps exist in Kenya’s quest to achieve UHC. It is imperative that targeted health financing and other health sector reforms are made to achieve this goal. Such reforms should be focused on both, rather than on only either, of the dimensions of UHC.
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- 2018
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30. 012 PP: ‘THE OUTSIDERS FROM WITHIN’ – COPING AND ADAPTIVE STRATEGIES FOR SYSTEMS RESILIENCE IN THE PROCESS OF IMPLEMENTING POLITICAL DEVOLUTION WITHIN THE HEALTH SECTOR IN KENYA
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Tsofa, B, primary, Molyneux, S, additional, Malingi, T, additional, and Barasa, E, additional
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- 2017
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31. Viewpoint: Economic evaluation of package of care interventions employing clinical guidelines
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Barasa, E and English, M
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Increasingly attention is shifting towards delivering essential packages of care, often based on clinical practice guidelines, as a means to improve maternal, child and newborn survival in low-income settings. Cost effectiveness analysis (CEA), allied to the evaluation of less complex intervention, has become an increasingly important tool for priority setting. Arguably such analyses should be extended to inform decisions around the deployment of more complex interventions. In the discussion, we illustrate some of the challenges facing the extension of CEA to this area. We suggest that there are both practical and methodological challenges to overcome when conducting economic evaluation for packages of care interventions that incorporate clinical guidelines. Some might be overcome by developing specific guidance on approaches, for example clarity in identifying relevant costs. Some require consensus on methods. The greatest challenge, however, lies in how to incorporate, as measures of effectiveness, process measures of service quality. Questions on which measures to use, how multiple measures might be combined, how improvements in one area might be compared with those in another and what value is associated with improvement in health worker practices are yet to be answered.
- Published
- 2011
32. Marburg virus disease outbreak in Kween District Uganda, 2017: Epidemiological and laboratory findings.
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Luke Nyakarahuka, Trevor R Shoemaker, Stephen Balinandi, Godfrey Chemos, Benon Kwesiga, Sophia Mulei, Jackson Kyondo, Alex Tumusiime, Aaron Kofman, Ben Masiira, Shannon Whitmer, Shelley Brown, Debi Cannon, Cheng-Feng Chiang, James Graziano, Maria Morales-Betoulle, Ketan Patel, Sara Zufan, Innocent Komakech, Nasan Natseri, Philip Musobo Chepkwurui, Bernard Lubwama, Jude Okiria, Joshua Kayiwa, Innocent H Nkonwa, Patricia Eyu, Lydia Nakiire, Edward Chelangat Okarikod, Leonard Cheptoyek, Barasa Emmanuel Wangila, Michael Wanje, Patrick Tusiime, Lilian Bulage, Henry G Mwebesa, Alex R Ario, Issa Makumbi, Anne Nakinsige, Allan Muruta, Miriam Nanyunja, Jaco Homsy, Bao-Ping Zhu, Lisa Nelson, Pontiano Kaleebu, Pierre E Rollin, Stuart T Nichol, John D Klena, and Julius J Lutwama
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Arctic medicine. Tropical medicine ,RC955-962 ,Public aspects of medicine ,RA1-1270 - Abstract
INTRODUCTION:In October 2017, a blood sample from a resident of Kween District, Eastern Uganda, tested positive for Marburg virus. Within 24 hour of confirmation, a rapid outbreak response was initiated. Here, we present results of epidemiological and laboratory investigations. METHODS:A district task force was activated consisting of specialised teams to conduct case finding, case management and isolation, contact listing and follow up, sample collection and testing, and community engagement. An ecological investigation was also carried out to identify the potential source of infection. Virus isolation and Next Generation sequencing were performed to identify the strain of Marburg virus. RESULTS:Seventy individuals (34 MVD suspected cases and 36 close contacts of confirmed cases) were epidemiologically investigated, with blood samples tested for MVD. Only four cases met the MVD case definition; one was categorized as a probable case while the other three were confirmed cases. A total of 299 contacts were identified; during follow- up, two were confirmed as MVD. Of the four confirmed and probable MVD cases, three died, yielding a case fatality rate of 75%. All four cases belonged to a single family and 50% (2/4) of the MVD cases were female. All confirmed cases had clinical symptoms of fever, vomiting, abdominal pain and bleeding from body orifices. Viral sequences indicated that the Marburg virus strain responsible for this outbreak was closely related to virus strains previously shown to be circulating in Uganda. CONCLUSION:This outbreak of MVD occurred as a family cluster with no additional transmission outside of the four related cases. Rapid case detection, prompt laboratory testing at the Uganda National VHF Reference Laboratory and presence of pre-trained, well-prepared national and district rapid response teams facilitated the containment and control of this outbreak within one month, preventing nationwide and global transmission of the disease.
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- 2019
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33. Construction of religious identities and the fear of Islam in Kenya.
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Mang'eni, Barasa E.
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RELIGIOUS identity ,ISLAM ,CHRISTIANITY ,INTERFAITH relations - Abstract
The article discusses religious identity formation and explores the influence of Islam and Christianity on the formation of the modern state in Kenya. It presents the prevailing socio-political factors affecting inter-religious relations. It offers recommendations on how inter-religious relations can be improved further, including the need for a convergence for dialogue structured within a sound national policy framework.
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- 2012
34. Poly(phenylacetylene)s with Pendant Sulfonamide Receptors for Anion Detection.
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SAKAI, R., BARASA, E. B., SAKAI, N., SATO, S.-I., SATOH, T., and KAKUCHI, T.
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- 2013
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35. Evaluating the impact, implementation experience and political economy of primary care networks in Kenya: protocol for a mixed methods study.
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Amboko B, Nzinga J, Tsofa B, Mugo P, Musiega A, Maritim B, Wong E, Mazzilli C, Ng'ang'a W, Hagedorn B, Turner G, Musuva A, Murira F, Ravishankar N, Hussein S, and Barasa E
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- Kenya, Humans, Health Care Reform, Delivery of Health Care, Cross-Sectional Studies, Developing Countries, Research Design, Health Facilities, Program Evaluation, Qualitative Research, Primary Health Care organization & administration, Primary Health Care economics, Politics
- Abstract
Background: Primary care networks (PCNs) are increasingly being adopted in low- and middle-income countries (LMICs) to improve the delivery of primary health care (PHC). Kenya has identified PCNs as a key reform to strengthen PHC delivery and has passed a law to guide its implementation. PCNs were piloted in two counties in Kenya in 2020 and implemented nationally in October 2023. This protocol outlines methods for a study that examines the impact, implementation experience and political economy of the PCN reform in Kenya., Methods: We will adopt the parallel databases variant of convergent mixed methods study design to concurrently but separately collect quantitative and qualitative data. The two strands will be mixed during data collection to refine questions, with findings triangulated during analysis and interpretation to provide a comprehensive understanding of PCN implementation. The quantitative study will use a controlled before and after study design and collect data using health facility and client exit surveys. The primary outcome measure will be the service delivery readiness of PHC facilities. We will use a random sample of 228 health facilities and 2560 clients in four currently implementing PCNs, four planning to implement and four control counties at baseline and post-implementation. We shall undertake a preliminary cross-sectional analysis of the data at baseline from October to December 2023, followed by a difference-in-difference analysis at the endline from October to December 2024 to compare the outcome differences between the intervention and control counties over a 12-month period. The qualitative study will include a cross-sectional process evaluation and political economy analysis (PEA) using document reviews and approximately 80 in-depth interviews with national and sub-national stakeholders. The process evaluation will assess the emergence of PCN reforms, the implementation experience, the mechanism of impact and how the context affects implementation and outcomes. The PEA will examine the interaction of structural factors, institutions and actors/stakeholders' interests and power relations in implementing PCNs. We will also examine the gendered effects of the PCNs, including power relations and norms, and their implications on PHC from the supply and demand sides. We shall undertake a thematic analysis of the qualitative data., Discussion: This evaluation will contribute robust evidence on the impact, implementation experience, political economy and gendered implications of PCNs in a LMIC setting, as well as guide the refining of PCN implementation in Kenya and other LMICs implementing or planning to implement PCNs to enhance their effectiveness., Competing Interests: Declarations. Ethics approval and consent to participate: Scientific and ethical approval for the study was obtained from the Kenya Medical Research Institute Scientific and Ethics Review Unit (KEMRI/SERU/CGMR-C/294/4708). Informed consent will be obtained from all participants before conducting the interviews. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)
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- 2025
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36. Examining patient choice and provider competition under the National Health Insurance Fund outpatient cover in Kenya: does it enhance access and quality of care?
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Kazungu J, Barasa E, Quaife M, and Nonvignon J
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- Attitude of Health Personnel, Choice Behavior, Cross-Sectional Studies, Health Facility Administrators economics, Kenya, Qualitative Research, Humans, Ambulatory Care economics, Ambulatory Care organization & administration, Ambulatory Care Facilities economics, Ambulatory Care Facilities organization & administration, Economic Competition, Health Services Accessibility economics, Health Services Accessibility organization & administration, National Health Programs economics, National Health Programs organization & administration, Patient Preference economics, Quality of Health Care economics, Quality of Health Care organization & administration
- Abstract
Background: While patient choice and provider competition are predicted to influence provider behaviour for enhancing access and quality of care, evidence on provider perceptions and response to patient choice and provider competition is largely missing in low-resource settings such as Kenya. We examined provider and purchaser perceptions about whether patient choice and provider competition influenced provider behaviour and enhanced access and quality of outpatient care in Kenya., Methods: We conducted a qualitative study to explore this across two purposefully selected counties. We conducted 15 in-depth interviews (IDIs) with health facility managers and National Health Insurance Fund (NHIF) staff across the two counties. We examined these across five areas summarised as either local market conditions or patient feedback following the Vengberg framework., Results: NHIF members' choice of outpatient facilities compelled private and faith-based providers to compete for members while public providers did not view choice as a way of spurring competition. Besides, all providers did not receive any information regarding the exit of NHIF members from their facilities. Providers felt that that information would be crucial for their planning, especially in enhancing service accessibility and quality of care. Most providers ensured the availability of drugs, provided a wider range of services and leveraged on marketing to attract and retain NHIF members. Finally, providers highlighted their redesign of service delivery to meet NHIF members' needs whilst enhancing the quality-of-care aspects such as waiting time and having qualified health workers., Conclusion: There is a need for NHIF to share NHIF members' exit information with providers to support their service delivery arrangements in response to NHIF members' needs. Besides, this study contributes evidence on patient choice and provider competition and their influence on access and quality of care from a low-resource setting country which is crucial as NHIF transitioned to the Social Health Authority., Competing Interests: Declarations. Ethics approval and consent to participate: Ethical approval for the study was obtained from the Scientific Ethics Review Unit (SERU) of KEMRI (Ref: KEMRI/SERU/CGMR-C/191/4019). Besides, we received approvals to conduct the study from County Departments of Health in both study counties. Also, we obtained permission to conduct the study from the NHIF, the National Commission for Science, Technology, and Innovation (NACOSTI) and the Council of Governors in Kenya. We also obtained written informed consent from each participant prior to conducting the IDIs. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
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- 2024
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37. Examining the Implementation Experience of the Universal Health Coverage Pilot in Kenya.
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Nyawira L, Machira Y, Munge K, Chuma J, and Barasa E
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- Kenya, Humans, Pilot Projects, Cross-Sectional Studies, Focus Groups methods, Qualitative Research, Interviews as Topic methods, Health Services Accessibility statistics & numerical data, Universal Health Insurance
- Abstract
The Kenyan government implemented a Universal Health Coverage (UHC) pilot project in four (out of 47) counties in 2019 to address supply-side gaps and remove user fees at county referral hospitals. The objective of this study was to examine the UHC pilot implementation experience using a mixed-methods cross-sectional study in the four UHC pilot counties (Isiolo, Kisumu, Machakos, and Nyeri). We conducted exit interviews ( n = 316) with health facility clients, in-depth interviews ( n = 134) with national and county-level health sector stakeholders, focus group discussions ( n = 22) with community members, and document reviews. We used a thematic analysis approach to analyze the qualitative data and descriptive analysis for the quantitative data. The UHC pilot resulted in increased utilization of healthcare services due to removal of user fees at the point of care and increased availability of essential health commodities. Design and implementation challenges included: a lack of clarity about the relationship between the UHC pilot and existing health financing arrangements, a poorly defined benefit package, funding flow challenges, limited healthcare provider autonomy, and inadequate health facility infrastructure. There were also persistent challenges with the procurement and supply of healthcare commodities and with accountability mechanisms between the Ministry of Health and county health departments. The study underscores the need for whole-system approaches to healthcare reform in order to ensure that the capacity to implement reforms is strengthened, and to align new reforms with existing system features.
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- 2024
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38. Using knowledge translation to support the use of evaluation findings: A case study of the linda mama free maternity program in Kenya.
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Guleid FH, Orangi S, Kairu A, Arwa B, Keru J, Musuva A, Vilcu I, Pattnaik A, Ravishankar N, and Barasa E
- Abstract
Using program evaluation findings is crucial in improving health programs and realising the program's benefits. In this article, we report on how a knowledge translation (KT) approach supported the use of evaluation findings to improve the Linda Mama free maternity program in Kenya. We used a case study design employing qualitative approaches to describe our KT strategy and its impact on evaluation use. Data were collected through semi-structured in-depth interviews of participants (n = 25) in three Kenyan counties following dissemination of the evaluation findings and co-production of action plans based on the evaluation. The findings suggest modest improvements in the implementation of Linda Mama in 3 Kenyan counties facilitated by application of the evaluation findings. However, these improvements were not uniform across and within the counties. Challenges such as the COVID-19 restrictions, lack of infrastructure and delayed reimbursement of funds hindered the full implementation of the action plans. The KT strategy was a key facilitator for the improvements. The dissemination and deliberation workshops provided learning spaces for stakeholders, ensuring that each perspective was considered. The participatory method used in developing the action plans also improved communication between stakeholder groups. Participants reported that this approach made aware them of the gaps in implementation and motivated them to realise the full potential of the Linda Mama program. Using KT, especially when evaluating and refining the implementation of complex health programs with multiple stakeholders, is useful in improving the uptake of evaluation findings. However, it can be challenging to sustain such engagement with stakeholders. In addition, contextual factors that affect uptake need to be considered and navigated. Finally, significant investment (both in human resource and financial) in such approaches is required if KT is to be successful., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Guleid 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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39. Policy formulation and actor roles in the expanded Kenyan free maternity policy (Linda Mama): A policy analysis.
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Oyugi B, Audi-Poquillon Z, Kendall S, Peckham S, and Barasa E
- Abstract
In 2013, Kenya implemented free maternity services, later expanded in 2016 into the 'Linda Mama' policy to provide essential health services for pregnant women. This study explored the policy formulation background, processes, content, and actors' roles in formulation and implementation. Using a convergent parallel mixed-methods case study design, we reviewed documents and conducted in-depth interviews with national stakeholders, county officials, and healthcare workers. We applied a theoretical framework capturing the background and context, processes, content, and actors. The study spanned national, county, and facility levels within Kenya's health system. Data were audio-recorded, transcribed, and analyzed using a framework thematic approach. Findings showed that political imperatives and global and national goals shaped the expanded policy, drawing on previous learnings. Actor power played a crucial role in shaping policy direction, reflecting their interests and capacity to influence decisions. The policy aimed to improve coverage and administrative efficiency, with NHIF becoming the primary purchaser of services to ensure sustainability and address legal challenges. The policy design, marked by conflicts and time pressures, required a collaborative approach to reconcile design and costing differences. Despite differing interests, discussions and dialogues were essential for leadership and conflict management, culminating in key policy documents. A committee was established for stakeholders to freely discuss and debate the policy design, enabling relevant players to devise solutions and fostering joint commitment for implementation. Government officials, development partners, and representatives significantly influenced policy formulation. Beneficiary representatives had limited awareness of public participation opportunities. National and county actors supported achieving audit, research, financing, and strategic operational goals crucial for policy implementation. In conclusion, this study highlights the continued significance of policy analysis frameworks and theories in understanding the complex nature of policy development. These findings offer valuable insights for countries designing or redesigning healthcare policies and provide relevant information to academic communities., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Oyugi 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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40. Evaluating the effectiveness of the National Health Insurance Subsidy Programme within Kenya's universal health coverage initiative: a study protocol.
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Maritim B, Nzinga J, Tsofa B, Musiega A, Mugo PM, Wong E, Mazzilli C, Ng'an'ga W, Hagedorn B, Turner G, Musuva A, Murira F, Ravishankar N, and Barasa E
- Subjects
- Kenya, Humans, Cross-Sectional Studies, Female, Male, Research Design, Health Expenditures statistics & numerical data, Poverty, Program Evaluation, Universal Health Insurance economics, National Health Programs economics
- Abstract
Background: Low-income and middle-income countries, including Kenya, are pursuing universal health coverage (UHC) through the establishment of Social Health Insurance programmes. As Kenya rolls out the recently unveiled UHC strategy that includes a national indigent cover programme, the goal of this study is to evaluate the impact of health insurance subsidy on poor households' healthcare costs and utilisation. We will also assess the effectiveness and equity in the beneficiary identification approach employed., Methodology and Analysis: Using a quantitative design with quasi-experimental and cross-sectional methods, our matched cohort study will recruit 1350 households across three purposively selected counties. The 'exposure' arm, enrolled in the UHC indigent programme, will be compared with a control arm of eligible but unenrolled households over 12 months. Coarsened exact matching will be used to pair households based on baseline characteristics, analysing differences in expenses and catastrophic health expenditure. A cross-sectional design will be employed to evaluate the effectiveness and equity in beneficiary identification, estimating inclusion errors associated with the subsidy programme while assessing gender equity., Ethics and Dissemination: Ethical approval has been obtained from the Scientific and Ethics Review Unit at Kenya Medical Research Institute, with additional permissions sought from County Health Departments. Participants will provide written informed consent. Dissemination strategies include peer-reviewed publications, conference presentations and policy-maker engagement for broad accessibility and impact., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
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- 2024
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41. Prospective clinical surveillance for severe acute respiratory illness and COVID-19 vaccine effectiveness in Kenyan hospitals during the COVID-19 pandemic.
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Lucinde RK, Gathuri H, Isaaka L, Ogero M, Mumelo L, Kimego D, Mbevi G, Wanyama C, Otieno EO, Mwakio S, Saisi M, Isinde E, Oginga IN, Wachira A, Manuthu E, Kariuki H, Nyikuli J, Wekesa C, Otedo A, Bosire H, Okoth SB, Ongalo W, Mukabi D, Lusamba W, Muthui B, Adembesa I, Mithi C, Sood M, Ahmed N, Gituma B, Giabe M, Omondi C, Aman R, Amoth P, Kasera K, Were F, Nganga W, Berkley JA, Tsofa B, Mwangangi J, Bejon P, Barasa E, English M, Scott JAG, Akech S, Kagucia EW, Agweyu A, and Etyang AO
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- Humans, Kenya epidemiology, Male, Female, Middle Aged, Prospective Studies, Adult, Aged, Vaccine Efficacy statistics & numerical data, Sentinel Surveillance, Hospitalization statistics & numerical data, Young Adult, Severe Acute Respiratory Syndrome epidemiology, Severe Acute Respiratory Syndrome mortality, Adolescent, Longitudinal Studies, Pandemics, Hospitals, Public statistics & numerical data, COVID-19 epidemiology, COVID-19 mortality, COVID-19 prevention & control, SARS-CoV-2 immunology, COVID-19 Vaccines immunology, COVID-19 Vaccines administration & dosage
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Background: There are limited data from sub-Saharan Africa describing the demographic characteristics, clinical features and outcome of patients admitted to public hospitals with severe acute respiratory infections during the COVID-19 pandemic., Methods: We conducted a prospective longitudinal hospital-based sentinel surveillance between May 2020 and December 2022 at 16 public hospitals in Kenya. All patients aged above 18 years admitted to adult medical wards in the participating hospitals were included. We collected data on demographic and clinical characteristics, SARS-CoV-2 infection and COVID-19 vaccination status and, admission episode outcomes. We determined COVID-19 vaccine effectiveness (VE) against admission with SARS-CoV-2 positive severe acute respiratory illness (SARI) (i.e., COVID-19) and progression to inpatient mortality among patients admitted with SARI, using a test-negative case control design., Results: Of the 52,636 patients included in the study, 17,950 (34.1%) were admitted with SARI. The median age was 50 years. Patients were equally distributed across sexes. Pneumonia was the most common diagnosis at discharge. Hypertension, Human Immunodeficiency Virus (HIV) infection and Diabetes Mellitus were the most common chronic comorbidities. SARS-CoV-2 test results were positive in 2,364 (27.9%) of the 8,471 patients that underwent testing. After adjusting for age, sex and presence of a chronic comorbidity, SARI patients were more likely to progress to inpatient mortality compared to non-SARI patients regardless of their SARS-CoV-2 infection status (adjusted odds ratio (aOR) for SARI and SARS-CoV-2 negative patients 1.22, 95% CI 1.10-1.37; and aOR for SARI and SARS-CoV-2 positive patients 1.32, 95% CI 1.24-1.40). After adjusting for age, sex and presence of a chronic comorbidity, COVID-19 VE against progression to inpatient mortality following admission with SARI for those with a confirmed vaccination status was 0.59 (95% CI 0.27-0.77)., Conclusion: We have provided a comprehensive description of the demographic and clinical pattern of admissions with SARI in Kenyan hospitals during the COVID-19 pandemic period as well as the COVID-19 VE for these patients. These data were useful in providing situational awareness during the first three years of the pandemic in Kenya and informing national response measures., (© 2024. The Author(s).)
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- 2024
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42. Supporting African communities to increase resilience and mental health of kids with developmental disabilities and their caregivers using the World Health Organization's Caregiver Skills Training Programme (SPARK trial): study protocol for a cluster randomised clinical controlled trial.
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Washington-Nortey M, Angwenyi V, Demissie M, Mwangome E, Eshetu T, Negussie H, Goldsmith K, Healey A, Feyasa M, Medhin G, Belay A, Azmeraw T, Getachew M, Birhane R, Nasambu C, Kifle TH, Kairu A, Mkubwa B, Girma F, Abdurahman R, Tsigebrhan R, Tesfaye L, Mbonani L, Seward N, Charman T, Pickles A, Salomone E, Servili C, Barasa E, Newton CR, Hanlon C, Abubakar A, and Hoekstra RA
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- Humans, Ethiopia, Child, Kenya, Child, Preschool, Multicenter Studies as Topic, Child Behavior, Quality of Life, Equivalence Trials as Topic, World Health Organization, Child Development, Female, Adaptation, Psychological, Male, Time Factors, Caregivers psychology, Caregivers education, Resilience, Psychological, Mental Health, Developmental Disabilities psychology, Developmental Disabilities therapy
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Background: Most children with developmental disabilities (DD) live in low- and middle-income countries, but access to services is limited, impacting their ability to thrive. Pilot study findings of the World Health Organization's Caregiver Skills Training (WHO CST) intervention, which equips caregivers with strategies to facilitate learning and adaptive behaviours in children with DD, are promising but evidence from an appropriately powered trial delivered by non-specialist facilitators is lacking. This study will investigate the effectiveness and the resource impacts and costs and consequences of the WHO CST intervention in four sites in rural and urban Kenya and Ethiopia., Methods: This is a 2-arm multi-site hybrid type-1 effectiveness implementation cluster randomised controlled superiority trial. After baseline assessments (T0) are completed by participants in clusters comprising 7 to 10 caregiver-child dyads, the clusters will be randomised to either the WHO CST intervention arm or a waitlist enhanced care as usual control arm. Further assessments will be completed at endpoint (T1, 18 ± 2 weeks after randomisation) and follow-up (T2, 44 ± 2 weeks after randomisation). The intervention comprises three individualised home visits and nine group sessions with trained non-specialist facilitators. Participants in the control arm will receive the intervention after completing follow-up assessments. We aim to recruit 544 child-caregiver dyads, evenly distributed across the two arms and countries. The co-primary outcomes are the child-focused Child Behavior Checklist (assessing emotional and behavioural problems) and the caregiver-focused Pediatric Quality of Life Inventory (assessing caregiver quality of life), both assessed at endpoint. Secondary outcome measures comprise the two co-primary outcomes at follow-up and ten additional outcome measures at endpoint, assessing stigma-based experiences, depressive symptoms, household food insecurity, child disciplinary strategies and beliefs, CST knowledge and skill competencies, caregiver and child quality of life, social support, and children's communication modes and functions. After quantitative follow-up assessments are completed, a mixed-methods evaluation approach will be used to investigate implementation processes and acceptability, feasibility, and potential sustainability of the intervention., Discussion: The study's findings will provide evidence of the effectiveness and resource impacts and costs and consequences of a non-specialist-delivered intervention in under-resourced contexts in one low-income and one middle-income country in East Africa. Findings will inform future research, intervention, and policy efforts to support children with DD and their families in under-resourced majority world contexts., Trial Registration: Pan African Clinical Trial Registry PACTR202310908063134. Registered on October 16, 2023., (© 2024. The Author(s).)
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- 2024
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43. How does Public Financial Management (PFM) influence health system efficiency: A scoping review.
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Musiega A, Tsofa B, and Barasa E
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Background: Effective Public Financial Management (PFM) approaches are imperative in the quest for efficiency in health service delivery. Reviews conducted in this area have assessed the impact of PFM approaches on health system efficiency but have left out the mechanisms through which PFM influences efficiency. This scoping review aims to synthesize evidence on the mechanisms by which PFM influences health system efficiency., Methods: We searched databases of PubMed and Google Scholar and websites of the World Health Organization (WHO), World Bank and Overseas Development Institute (ODI) for peer-reviewed and grey literature articles that provided data on the relationship between PFM and health system efficiency. Three reviewers screened the articles for eligibility with the inclusion criteria. Data on PFM and health system efficiency was charted and summarized. We then reported the mechanisms by which PFM influence efficiency., Results: PFM processes and structures influence health system efficiency by influencing; the alignment of resources to health system needs, the cost of inputs, the motivation of health workers, and the input mix., Conclusion: The entire budget process influences health system efficiency. However, most of the findings are drawn from studies that focused on aspects of the budget process. Studies that look at PFM in totality will help explore other cross-cutting issues within sections of the budget cycle; they will also bring out the relationship between the different phases of the budget cycle., Competing Interests: No competing interests were disclosed., (Copyright: © 2024 Musiega A et al.)
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- 2024
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44. Factors influencing the uptake of public health interventions delivery by community pharmacists: A systematic review of global evidence.
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Mumbi A, Mugo P, Barasa E, Abiiro GA, and Nzinga J
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- Humans, Professional Role, Community Pharmacy Services, Health Promotion, Delivery of Health Care, Pharmacies, Pharmacists, Public Health
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Background: Community pharmacies are the first point of contact for most people seeking treatment for minor illnesses globally. In recent years, the role of community pharmacists has evolved, and they play a significant role in the delivery of public health interventions (PHIs) aimed at health promotion and prevention such as smoking cessation services, weight management services, HIV prevention, and vaccination. This review aims to explore the evidence on the factors that influence community pharmacists to take up the role of delivery of such interventions., Methods: Three electronic databases namely, Embase (1947-December 2023), Medline (1975-December 2023), and Scopus (1823-December 2023) were searched for relevant literature from the inception of the database to December 2023. Reference lists of included articles were also searched for relevant articles. A total of 22 articles were included in the review based on our inclusion and exclusion criteria. The data were analyzed and synthesized using a thematic approach to identify the factors that influence the community pharmacist's decision to take up the role of PHI delivery. Reporting of the findings was done according to the PRISMA checklist., Findings: The search identified 10,927 articles of which 22 were included in the review. The main factors that drive the delivery of PHIs by community pharmacists were identified as; training and continuous education, remuneration and collaboration with other healthcare professionals. Other factors included structural and workflow adjustments and support from the government and regulatory bodies., Conclusions: Evidence from this review indicates that the decision to expand the scope of practice of community pharmacists is influenced by various factors. Incorporating these factors into the design of policies and public health programs is critical for the successful integration of community pharmacists in the delivery of broader public health to meet the rising demand for health care across health systems., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Mumbi 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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45. Evaluating the effects, implementation experience and political economy of primary healthcare facility autonomy reforms within counties in Kenya: a mixed methods study protocol.
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Musiega A, Amboko B, Maritim B, Nzinga J, Tsofa B, Mugo PM, Wong E, Mazzilli C, Ng'ang'a W, Hagedorn BL, Turner G, Musuva A, Murira F, Ravishankar N, and Barasa E
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Introduction: There is a growing emphasis on improving primary health care services and granting frontline service providers more decision-making autonomy. In October 2023, Kenya enacted legislation mandating nationwide facility autonomy. There is limited understanding of the effects of health facility autonomy on primary health care (PHC) facilities performance. It is recognized that stakeholder interests influence reforms, and gender plays a critical role in access to health and its outcomes. This protocol outlines the methods for a study that plans to evaluate the effects, implementation experience, political economy, and gendered effects of health facility autonomy reforms in Kenya., Methods and Analysis: The research will use a before-and-after quasi-experimental study design to measure the effects of the reform on service readiness and service utilization, and a cross-sectional qualitative study to explore the implementation experience, political economy, and gendered effects of these reforms. Data to measure the effects of autonomy will be collected from a sample of 80 health facilities and 1600 clients per study arm. Qualitative interviews will involve approximately 83 facility managers and policymakers at the county level, distributed across intervening (36), and planning to intervene (36) counties. Additionally, 11 interviews will be conducted at the national level with representatives from the Ministry of Health, the National Treasury, the Controller of Budget, the Council of Governors, the Auditor General, and development partners. Given the uncertainty surrounding the implementation of the reforms, this study proposes two secondary designs in the event our primary design is not feasible - a cross-sectional study, and a quasi-experimental interrupted time series design. The study will use a difference-in-difference analysis for the quantitative component to evaluate the effects of the reforms, while using thematic analysis for the qualitative component to evaluate the political economy and the implementation experience of the reforms., Ethics and Dissemination: This study was approved by the Kenya Medical Research Institute Scientific and Ethics Review Unit ( KEMRI/SERU/CGMR-C/294/4708 ) and the National Commission for Science, Technology and Innovation ( NACOSTI/P/23/28111 ). We plan to disseminate the findings through publications, policy briefs and dissemination workshops ., Competing Interests: Declaration of interests: There are no competing interests for any author.
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- 2024
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46. Health system evaluation: new options, opportunities and limits.
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Croke K, Barasa E, and Kruk ME
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- Humans, Global Health, Delivery of Health Care organization & administration
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- 2024
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47. A mixed methods study examining the impact of primary health care financing transitions on facility functioning and service delivery in Kenya: a study protocol.
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Muthuri RNDK, Nzinga J, Tsofa B, Musiega A, Mugo P, Wong E, Mazzilli C, Ng'ang'a W, Hagedorn B, Turner G, Musuva A, Ravishankar N, Murira FM, and Barasa E
- Abstract
Background: Kenya has experienced several health financing changes that have implications for financing primary healthcare (PHC). These include transitions from funding by two key donors (the World Bank and the Danish International Development Agency (DANIDA)) and the abolishment of conditional grants that were earmarked for financing primary healthcare facilities. This protocol lays out study plans to evaluate the impact and implementation experience of these financing changes on PHC facility functioning and service delivery in Kenya., Methods/design: A sequential mixed methods design will be applied to address our research objectives. Firstly, we will perform a document review to understand the evolution of policy changes understudy. Second, we will conduct an interrupted time series analysis across all 47 counties in Kenya to assess these financing changes' impact on health service utilization in all public primary healthcare facilities (level 2 and 3 facilities). Data for this analysis will be obtained from the Kenya Health Information System (KHIS). Third, we will carry out in-depth interviews with health financing stakeholders at the national, county, and health facility levels to examine their perceptions of the experiences with these changes in health financing., Discussion: This mixed methods study will contribute to evidence on the sustainability of financing primary healthcare in low and middle-income countries facing financing changes and donor transitions., Competing Interests: No competing interests were disclosed., (Copyright: © 2024 Muthuri RNDK et al.)
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- 2024
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48. Examining inequalities in spatial access to national health insurance fund contracted facilities in Kenya.
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Kazungu J, Moturi AK, Kuhora S, Ouko J, Quaife M, Nonvignon J, and Barasa E
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- Humans, Kenya, Insurance, Health, Health Facilities, National Health Programs, Financial Management
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Background: Kenya aims to achieve universal health coverage (UHC) by 2030 and has selected the National Health Insurance Fund (NHIF) as the 'vehicle' to drive the UHC agenda. While there is some progress in moving the country towards UHC, the availability and accessibility to NHIF-contracted facilities may be a barrier to equitable access to care. We estimated the spatial access to NHIF-contracted facilities in Kenya to provide information to advance the UHC agenda in Kenya., Methods: We merged NHIF-contracted facility data to the geocoded inventory of health facilities in Kenya to assign facility geospatial locations. We combined this database with covariates data including road network, elevation, land use, and travel barriers. We estimated the proportion of the population living within 60- and 120-minute travel time to an NHIF-contracted facility at a 1-x1-kilometer spatial resolution nationally and at county levels using the WHO AccessMod tool., Results: We included a total of 3,858 NHIF-contracted facilities. Nationally, 81.4% and 89.6% of the population lived within 60- and 120-minute travel time to an NHIF-contracted facility respectively. At the county level, the proportion of the population living within 1-hour of travel time to an NHIF-contracted facility ranged from as low as 28.1% in Wajir county to 100% in Nyamira and Kisii counties. Overall, only four counties (Kiambu, Kisii, Nairobi and Nyamira) had met the target of having 100% of their population living within 1-hour (60 min) travel time to an NHIF-contracted facility. On average, it takes 209, 210 and 216 min to travel to an NHIF-contracted facility, outpatient and inpatient facilities respectively. At the county level, travel time to an NHIF-contracted facility ranged from 10 min in Vihiga County to 333 min in Garissa., Conclusion: Our study offers evidence of the spatial access estimates to NHIF-contracted facilities in Kenya that can inform contracting decisions by the social health insurer, especially focussing on marginalised counties where more facilities need to be contracted. Besides, this evidence will be crucial as the country gears towards accelerating progress towards achieving UHC using social health insurance as the strategy to drive the UHC agenda in Kenya., (© 2024. The Author(s).)
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- 2024
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49. A qualitative inquiry on drivers of COVID-19 vaccine hesitancy among adults in Kenya.
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Orangi S, Mbuthia D, Chondo E, Ngunu C, Kabia E, Ojal J, and Barasa E
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COVID-19 vaccination rates have been low among adults in Kenya (36.7% as of late March 2023) with vaccine hesitancy posing a threat to the COVID-19 vaccination program. This study sought to examine facilitators and barriers to COVID-19 vaccinations in Kenya. We conducted a qualitative cross-sectional study in two purposively selected counties in Kenya. We collected data through 8 focus group discussions with 80 community members and 8 in-depth interviews with health care managers and providers. The data was analyzed using a framework approach focusing on determinants of vaccine hesitancy and their influence on psychological constructs. Barriers to COVID-19 vaccine uptake were related to individual characteristics (males, younger age, perceived health status, belief in herbal medicine, and the lack of autonomy in decision making among women - especially in rural settings), contextual influences (lifting of bans, myths, medical mistrust, cultural and religious beliefs), and COVID-19 vaccine related factors (fear of unknown consequences, side-effects, lack of understanding on how vaccines work and rationale for boosters). However, community health volunteers, trusted leaders, mandates, financial and geographic access influenced COVID-19 vaccine uptake. These drivers of hesitancy mainly related to psychological constructs including confidence, complacency, and constraints. Vaccine hesitancy in Kenya is driven by multiple interconnected factors. These factors are likely to inform evidence-based targeted strategies that are built on trust to address vaccine hesitancy. These strategies could include gender responsive immunization programs, appropriate messaging and consistent communication that target fear, safety concerns, misconceptions and information gaps in line with community concerns. There is need to ensure that the strategies are tested in the local setting and incorporate a multisectoral approach including community health volunteers, religious leaders and community leaders., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Orangi 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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50. Evaluating the implementation of the Primary Health Integrated Care Project for Chronic Conditions: a cohort study from Kenya.
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Mugo R, Pliakas T, Kamano J, Sanga LA, Nolte E, Gasparrini A, Barasa E, Etyang A, and Perel P
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Introduction: In Kenya, non-communicable diseases (NCDs) are estimated to account for almost one-third of all deaths and this is likely to rise by over 50% in the next 10 years. The Primary Health Integrated Care for Chronic Conditions (PIC4C) project aims to strengthen primary care by integrating comprehensive NCD care into existing HIV primary care platform. This paper evaluates the association of PIC4C implementation on clinical outcomes., Methods: Outcomes included proportion of new patients, systolic blood pressure (SBP), fasting plasma glucose (FPG), diastolic blood pressure, hypertension control, random plasma glucose, diabetes control, viral load and HIV viral suppression. We used interrupted time series and binomial regression with random effects for facility-level data and generalised mixed-effects regression for visit-level data to examine the association between PIC4C and outcomes between January 2017 and December 2021. We conducted sensitivity analysis with restrictions on sites and the number of visits., Results: Data from 66 641 visits of 13 046 patients with hypertension, 24 005 visits of 7267 patients with diabetes and 84 855 visits of 21 186 people with HIV were analysed. We found evidence of association between PIC4C and increase in proportion of new patients per month with hypertension (adjusted OR (aOR) 1.57, 95% CI 1.39 to 1.78) and diabetes (aOR 1.31, 95% CI 1.19 to 1.45), small increase in SBP (adjusted beta (aB) 1.7, 95% CI 0.8 to 2.7) and FPG (aB 0.6, 95% CI 0.0 to 1.1). There was no strong evidence of association between PIC4C and viral suppression (aOR 1.20, 95% CI 0.98 to 1.47). In sensitivity analysis, there was no strong evidence of association between PIC4C and SBP (aB 1.74, 95% CI -0.70 to 4.17) or FPG (aB 0.52, 95% CI -0.64 to 1.67)., Conclusions: PIC4C implementation was associated with increase in proportion of new patients attending clinics and a slight increase in SBP and FPG. The immediate post-PIC4C implementation period coincided with the COVID-19 pandemic, which is likely to explain some of our findings., Competing Interests: Competing interests None declared.
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- 2024
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