Browsing by Subject "health systems"

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    Open Access
    Consortium for Health Policy & Systems Analysis in Africa
    (2014-09-15) Gilson, Lucy
    All CHEPSAA’s African members have produced reports that provide an overview of the HPSR+A capacity needs and assets in their organizations and its wider context. They each include recommendations about how to develop capacity. The assessment reports are from Ghana, South Africa, Tanzania, Kenya and Nigeria, and there are also comparative assessments with guidance on how to approach the needs assessment. CHEPSAA (the Consortium for Health Policy & Systems Analysis in Africa) works to develop the emerging field of health policy and systems research and analysis (HPSR+A) in Africa through harnessing synergies among a consortium of African and European universities.
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    Open Access
    Fidelity and costs of implementing the integrated chronic disease management model in South Africa
    (2021) Lebina, Limakatso; Alaba, Olufunke; Oni, Tolullah; Kawanga, Mary
    Background: The health systems in many low-middle income countries are faced with an increasing number of patients with non-communicable diseases within a high prevalence of infectious diseases. Integrated chronic disease management programs have been recommended as one of the approaches to improve efficiency, quality of care and clinical outcomes at primary healthcare level. The South African Department of Health has implemented the Integrated Chronic Disease Management (ICDM) Model in Primary Health care (PHC) clinics since 2011. Some of the expected outcomes on implementing the ICDM model have not been achieved, and there is a dearth of studies assessing implementation outcomes of chronic care models, especially in low-middle income countries. This thesis aims to assess the degree of fidelity, moderating factors of fidelity and costs associated with the implementation of the ICDM model in South African PHC clinics. Methods: The study was a cross-sectional study design using mixed methods and following the process evaluation conceptual framework. A total of sixteen PHC clinics in the Dr. Kenneth Kaunda (DKK) health district of the North West Province as well as the West Rand (WR) health district of the Gauteng Province, that were ICDM pilot sites were included in the study. The degree of fidelity in the implementation of the ICDM model was evaluated using a fidelity criterion from the four major components of the ICDM model as follows: facility reorganization, clinical supportive management, assisted self-support and strengthening of the support systems. In addition, the implementation fidelity framework was utilized to guide the assessment of ICDM model fidelity moderating factors. The data on fidelity moderating factors were obtained by interviewing 30 purposively selected healthcare workers. The abbreviated Denison Organizational Culture (DOC) survey was administered to 90 healthcare workers to assess the impact of three cultural traits (involvement, consistency and adaptability) on fidelity. Cost data from the provider's perspective were collected in 2019. The costs of implementing the ICDM model current activities for three (facility reorganization, clinical supportive management and assisted self-management) components and additional costs of implementing with enhanced fidelity were estimated. Costs data was collected from budget reviews, interviews with management teams, and other published data. Descriptive statistics were used to describe participants and clinics. Fidelity scores were summarized using medians and proportions and compared by facilities and health districts. Qualitative data were analysed thematically. Pearson correlation coefficient was utilized to assess the association between fidelity and culture. The annual ICDM model implementation costs per PHC clinic and patient per visit were presented in 2019 US dollars. Results: The 16 PHC clinics had comparable patient caseload, and a median of 2430 (IQR: 1685-2942) patients older than 20 years received healthcare services in these clinics over six months. The overall implementation fidelity of the ICDM model median score was 79% (125/158, IQR: 117-132); WR was 80% (126/158, IQR: 123-132) while DKK was 74% (117/158, IQR: 106-130), p=0.1409. The highest clinic fidelity score was 86% (136/158), while the lowest was 66% (104/158). The fidelity scores for the four components of the ICDM model were very similar. A patient flow analysis indicated long (2-5 hours) waiting times and that acute and chronic care services were combined onto one stream. Interviews with healthcare workers revealed that the moderating factors of implementation fidelity of the ICDM model were the existence of facilitation strategies (training and clinical mentorship); intervention complexity (healthcare worker, time and space integration); and participant responsiveness (observing operational efficiencies, compliance of patients and staff attitudes). Participants also indicated that poor adherence to any one component of the ICDM model affected the implementation of the other components. Contextual factors that affected fidelity included supply chain management, infrastructure and adequate staff, and balanced patient caseloads. The overall mean score for the DOC was 3.63 (SD = 0.58), the involvement cultural trait had the highest (3.71; SD = 0.72) mean score, followed by adaptability (3.62; SD = 0.56), and consistency (3.56; SD = 0.63). Although there were no statistically significant differences in cultural scores between PHC clinics, culture scores for all three traits were significantly higher in WR (involvement 3.39 vs 3.84, p= 0.011; adaptability 3.40 vs 3.73, p= 0.007; consistency 3.34 vs 3.68, p= 0.034). The mean annual cost of implementing the ICDM model was $148 446.00 (SD: $65 125.00) per clinic, and 84% ($124 345.00) was for current costs while additional costs for higher fidelity accounted for were 16% ($24 102.00). The mean cost per patient per visit was $6.00 (SD:$0.77). Conclusion: There was some variability of fidelity scores on the components of the ICDM model by PHC clinics, and there are multiple (context, participant responsiveness, intervention complexity and facilitation strategies) interrelated moderating factors influencing implementation fidelity of the ICDM model. Organizational culture needs to be purposefully influenced to enhance adaptability and consistency cultural traits of clinics to enhance the ICDM model's principles of coordinated, integrated, patient-centred care. Small additional costs are required to implement the ICDM model with higher fidelity. Recommendations: Interventions to enhance the fidelity of chronic care models should be tailored to specific activities that have low degree of adherence to the guidelines. Addressing some of the moderating factors like training and mentoring of staff members, role clarification and supply chain management could contribute to enhanced fidelity. Organizational culture enhancements to ensure that the prevailing culture is aligned with the planned quality advancements is recommended prior to the implementation of new innovative interventions. Further research on the cost-effectiveness of the ICDM model in middle-income countries is recommended.
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    Open Access
    Moving towards universal coverage in South Africa? Lessons from a voluntary government insurance scheme
    (2013) Govender, Veloshnee; Chersich, Matthew F; Harris, Bronwyn; Alaba, Olufunke; Ataguba, John E; Nxumalo, Nonhlanhla; Goudge, Jane
    BackgroundIn 2005, the South African government introduced a voluntary, subsidised health insurance scheme for civil servants. In light of the global emphasis on universal coverage, empirical evidence is needed to understand the relationship between new health financing strategies and health care access thereby improving global understanding of these issues.ObjectivesThis study analysed coverage of the South African government health insurance scheme, the population groups with low uptake, and the individual-level factors, as well as characteristics of the scheme, that influenced enrolment.MethodsMulti-stage random sampling was used to select 1,329 civil servants from the health and education sectors in four of South Africa's nine provinces. They were interviewed to determine factors associated with enrolment in the scheme. The analysis included both descriptive statistics and multivariate logistic regression.ResultsNotwithstanding the availability of a non-contributory option within the insurance scheme and access to privately-provided primary care, a considerable portion of socio-economically vulnerable groups remained uninsured (57.7% of the lowest salary category). Non-insurance was highest among men, black African or coloured ethnic groups, less educated and lower-income employees, and those living in informal-housing. The relatively poor uptake of the contributory and non-contributory insurance options was mostly attributed to insufficient information, perceived administrative challenges of taking up membership, and payment costs.ConclusionBarriers to enrolment include insufficient information, unaffordability of payments and perceived administrative complexity. Achieving universal coverage requires good physical access to service providers and appropriate benefit options within pre-payment health financing mechanisms.
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    Open Access
    Skills of general health workers in primary eye care in Kenya, Malawi and Tanzania
    (BioMed Central Ltd, 2014) Kalua, Khumbo; Gichangi, Michael; Barassa, Ernest; Eliah, Edson; Lewallen, Susan; Courtright, Paul
    BACKGROUND:Primary eye care (PEC) in sub-Saharan Africa usually means the diagnosis, treatment, and referral of eye conditions at the most basic level of the health system by primary health care workers (PHCWs), who receive minimal training in eye care as part of their curricula. We undertook this study with the aim to evaluate basic PEC knowledge and ophthalmologic skills of PHCWs, as well as the factors associated with these in selected districts in Kenya, Malawi, and Tanzania. METHODS: A standardized (26 items) questionnaire was administered to PHCWs in all primary health care (PHC) facilities of 2 districts in each country. Demographic information was collected and an examination aimed to measure competency in 5 key areas (recognition and management of advanced cataract, conjunctivitis, presbyopia, and severe trauma plus demonstrated ability to measure visual acuity) was administered. RESULTS: Three-hundred-forty-three PHCWs were enrolled (100, 107, and 136 in Tanzania, Kenya, and Malawi, respectively). The competency scores of PHCW varied by area, with 55.7%, 61.2%, 31.2%, and 66.1% scoring at the competency level in advanced cataract, conjunctivitis, presbyopia, and trauma, respectively. Only 8.2% could measure visual acuity. Combining all scores, only 9 (2.6%) demonstrated competence in all areas. CONCLUSION: The current skills of health workers in PEC are low, with a large per cent below the basic competency level. There is an urgent need to reconsider the expectations of PEC and the content of training.