Advocacy, experience sharing and action planning toward raising additional financing for primary health care: spending more and spending better towards universal health coverage.

BACKGROUND: Reallocation of funding to respond the covid-19 pandemic, against a backdrop of longstanding underfunded health systems and high out of pocket expenditures for health, affected access to health services for households, especially those without social protection. These highlighted the urgency in curbing the impact of disruptions on progress towards Universal Health Coverage (UHC) goals. Strategic investments in Primary Health Care (PHC) can help spur the necessary momentum. METHODS: Under the collaborative platform of the Harmonization for Health in Africa's Health Financing Technical Working Group; UNICEF Regional Office for East and Southern Africa and WHO Regional Office for Africa convened the first PHC financing forum for 21 countries across the Eastern and Southern Africa Region. The three-day forum engaged key health and financing decision makers in constructive dialogue to identify practical actions and policy changes needed to accelerate delivery of UHC through improvements in PHC financing mechanisms and arrangements. The forum was attended by over 130 senior policy makers and technicians from governments, United Nations agencies and nonstate actors drawn from within country, regional and affiliating headquarter institutions. RESULTS: The Regional Forum engaged participants in meaningful, and constructive discussions. Five themes emerged (1) regular measurement and monitoring of PHC services and spending (2) increasing investments in PHC (3) enhancing efficiency, effectiveness, and equity of PHC spending, (4) ensuring an enabling environment to invest more and better in PHC, and (5) better partnerships for the realization of commitments. An outcome statement summarizing the main recommendations of the meeting was approved at the end of the forum, and action plans were developed by 14 government delegations to improve PHC financing within country-specific context and priorities. CONCLUSIONS AND RECOMMENDATIONS: The aims of this meeting in augmenting the political will created through the Africa Leadership Meeting (ALM), by catalyzing technical direction for increased momentum for improved health financing across all African countries was achieved. Peer exchanges offered practical approaches countries can take to improve health financing in ways that are suited to regional context providing a channel for incremental improvements to health outcomes in the countries.

Effects of Health Insurance on Quality of Care in Low-Income Countries: A Systematic Review.

Objectives: To evaluate the effectiveness of health insurance on quality of care in low-income countries (LICs). Methods: We conducted a systematic review following PRISMA guidelines. We searched seven databases for studies published between 2010 and August 2022. We included studies that evaluated the effects of health insurance on quality of care in LICs using randomized experiments or quasi-experimental study designs. Study outcomes were classified using the Donabedian framework. Results: We included 15 studies out of the 6,129 identified. Available evidence seems to suggest that health insurance has limited effects on structural quality, and its effects on the process of care remain mixed. At the population level, health insurance is linked to improved anthropometric measures for children and biomarkers such as blood pressure and hemoglobin levels. Conclusion: Based on the currently available evidence, it appears that health insurance in LICs has limited effects on the quality of care. Further studies are required to delve into the mechanisms that underlie the impact of health insurance on the quality of care and identify the most effective strategies to ensure quality within insurance programs. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=219984, identifier PROSPERO CRD42020219984.

The prevalence and factors associated with mental disorders in a community setting in central Uganda.

BACKGROUND: Mental disorders are known to predict poverty, morbidity and mortality. In resource limited settings, low levels of mental health literacy (MHL) and high mental illness stigma (MIS) have been sighted as possible factors that may impede access to mental health care. However, little has been done to examine the association between mental disorders and these factors (MHL and MIS) in sub-Saharan Africa. METHODS: We assessed for the prevalence of major depressive disorders (MDD), substance use disorders (SUD), post-traumatic stress disorder (PTSD), generalized anxiety disorder (GAD), documented MHL and MIS among 814 participants from 24 villages in central Uganda. We conducted regression analyses to examine the association between the prevalence of mental disorders, demographic factors as well as MIS and MHL. RESULTS: Over two thirds of the participants 581 (70%) were female. The mean age of the participants was 38 years (SD± 13.5). The prevalence of mental disorders ranged from 6.8-32%. Participants who were older were less likely to screen positive for GAD (OR 0.98; 0.96-0.99), female gender was protective against SUD (OR 0.46; 0.3-0.68) and those with MDD had lower education level (OR 0.23; 0.1-0.53). The mean MIS score was 11.3 (SD± 5.4) with a range of 6-30 and the mean MHL score was 21.7 (SD ±3.0) with a range of 10-30. MIS was negatively associated with GAD [ß = -1.211 (-2.382 to -0.040)]. There no statistically significant association between MHL and a mental disorder. CONCLUSION: There was a high prevalence of mental disorders in the community that we studied. Adequate resources should be allocated to address this burden.

Investing in the health workforce in Kenya: trends in size, composition and distribution from a descriptive health labour market analysis.

Investing in the health workforce to ensure universal access to qualified, skilled and motivated health workers is pertinent in achieving the Sustainable Development Goals (SDGs). The policy thrust in Kenya is to improve the quality of life of the population by investing to improve health service provision and achieving universal health coverage. To realise this, the Ministry of Health undertook a Health Labour Market Analysis with to generate evidence on the relationship between supply, demand and need of the health labour force. In the context of supply, Kenya has a total of 189 932 health workers in 2020 with 66% being in the public sector and 58%, 13% and 7% being nurses, clinical officers and doctors, respectively. The density of doctors, nurses and clinical officers per 10 000 in Kenya in 2020 was 30.14, which represents about 68% of the SDG index threshold of 44.5 doctors, nurses and midwives per 10 000 population. Findings indicates that Kenya needs to align future production in terms of cadre and quantity to the population health needs. Achieving this requires a multisectoral approach to ensure apposite quantity and mix of intakes into training institutions based on the health needs and ability to employ health workers produced.

The effectiveness of a psycho-education intervention on mental health literacy in communities affected by the COVID-19 pandemic-a cluster randomized trial of 24 villages in central Uganda-a research protocol.

BACKGROUND: Literature shows a high prevalence of psychological distress (PD) as well as common mental disorders (CMD) such as major depressive disorders (MDD), generalized anxiety disorders (GAD), post-traumatic stress disorders (PTSD), and substance misuse disorders (SUD) among people exposed to disasters and pandemics like the COVID-19. Moreover, CMD are associated with increased mortality (mainly through suicide) and morbidity (loss of productivity). A number of countries have made deliberate efforts to identify and manage CMD in light of COVID-19. However, low levels of mental health literacy (MHL) manifested by the individual's unawareness of CMD symptoms, limited human and mental health infrastructure resources, and high levels of mental illness stigma (MIS) are barriers to integration of mental health care in general health care during pandemics and epidemics such as the COVID-19. OBJECTIVES: For the proposed study, we will determine effectiveness of a psycho-education intervention delivered by village health team (VHT) members. METHODS: We will employ a cluster randomized trial design in 24 villages in central Uganda. We will collect baseline data to and document the prevalence of MHL, PD, MDD, PTSD, GAD, and SUD. We will distribute information education and communication materials (IEC) aimed at improving MHL to 420 adult individuals in the intervention arm (n = 12 villages). In the control arm (n = 12 villages), VHTs will distribute ministry of health COVID-19 information leaflets to 420 participants. Within 7 days of distributing the materials, research assistants will conduct a follow-up interview and assess for the same parameters (MHL, PD, MDD, PTSD, GAD, and SUD). We will use an intention to treat analysis to estimate the effectiveness of the psycho-education intervention. DISCUSSION: Findings from this research will guide policy and practice regarding the integration of mental health services in the community in the context of epidemic preparedness and response. TRIAL REGISTRATION: ClinicalTrials.gov NCT04616989 . Registered on 05 November 2020.

Correction to: What has been the progress in addressing financial risk in Uganda? Analysis of catastrophe and impoverishment due to health payments.

An amendment to this paper has been published and can be accessed via the original article.

What has been the progress in addressing financial risk in Uganda? Analysis of catastrophe and impoverishment due to health payments.

BACKGROUND: Monitoring progress towards Universal Health Coverage (UHC) requires an assessment of progress in coverage of health services and protection of households from the impact of direct out-of-pocket payments (i.e. financial risk protection). Although Uganda has expressed aspirations for attaining UHC, out-of-pocket payments remain a major contributor to total health expenditure. The aim of this study is to monitor progress in financial risk protection in Uganda. METHODS: This study uses data from the Uganda National Household Surveys for 2005/06, 2009/10, 2012/13 and 2016/17. We measure financial risk protection using catastrophic health care payments and impoverishment indicators. Health care payments are catastrophic if they exceed a set threshold (i.e. 10 and 25%) of the total household consumption expenditure. Health payments are impoverishing if they push the household below the poverty line (the US$1.90/day and Uganda's national poverty lines). A logistic regression model is used to assess the factors associated with household financial risk. RESULTS: The results show that while progress has been made in reducing financial risk, this progress remains minimal, and there is still a risk of a reversal of this trend. We find that although catastrophic health payments at the 10% threshold decreased from 22.4% in 2005/06 to 13.8% in 2012/13, it increased to 14.2% in 2016/17. The percentage of Ugandans pushed below the national poverty line (US$1.90/day) has decreased from 5.2% in 2005/06 to 2.7% in 2016/17. The distribution of both catastrophic health payments and impoverishment varies across socio-economic status, location and residence. In addition, certain household characteristics (poverty, having a child below 5 years and an adult above 60 years) are more associated with the lack of financial risk protection. CONCLUSION: There is need for targeted interventions to reduce OOP, especially among those affected so as to increase financial risk protection. In the short-term, it is important to ensure that public health services are funded adequately to enable effective coverage with quality health care. In the medium-term, increased reliance on mandatory prepayment will reduce the burden of OOP health spending further.

Beyond cost-effectiveness, morbidity and mortality: a comprehensive evaluation of priority setting for HIV programming in Uganda.

BACKGROUND: While there has been progress in controlling the HIV epidemic, HIV still remains a disease of global concern. Some of the progress has been attributed to increased public awareness and uptake of public health interventions, as well as increased access to anti- retroviral treatment and the prevention of vertical HIV transmission. These interventions would not have been possible without substantial investments in HIV programs. However, donor fatigue introduces the need for low income countries to maximize the benefits of the available resources. This necessitates identification of priorities that should be funded. Evaluating prioritization processes would enable decision makers to assess the effectiveness of their processes, thereby designing intervention strategies. To date most evaluations have focused on cost-benefit analyses, which overlooks additional critical impacts of priority setting decisions. Kapiriri & Martin (2010) developed and validated a comprehensive framework for evaluating PS in low income countries. The objective of this paper report findings from a comprehensive evaluation of priority setting for HIV in Uganda, using the framework; and to identify lessons of good practice and areas for improvement. METHODS: This was a qualitative study based on forty interviews with decision makers and policy document review. Data were analysed using INVIVO 10, and based on the parameters in Kapiriri et al's evaluation framework. RESULTS: We found that HIV enjoys political support, which contributes to the availability of resources, strong planning institutions, and participatory prioritization process based on some criteria. Some of the identified limitations included; undue donor and political influence, priorities not being publicized, and lack of mechanisms for appealing the decisions. HIV prioritization had both positive and negative impacts on the health system. CONCLUSIONS: The framework facilitated a more comprehensive evaluation of HIV priority setting. While there were successful areas, the process could be strengthened by minimizing undue influence of external actors, and support the legitimate institutions to set priorities and implement them. These should also institute mechanisms for publicizing the decisions, appeals and increased accountability. While this paper looked at HIV, the framework is flexible enough to be used in evaluating priority setting for other health programs within similar context.

Cost-effectiveness analysis of microscopic observation drug susceptibility test versus Xpert MTB/Rif test for diagnosis of pulmonary tuberculosis in HIV patients in Uganda.

BACKGROUND: Microscopic Observation Drug Susceptibility (MODS) and Xpert MTB/Rif (Xpert) are highly sensitive tests for diagnosis of pulmonary tuberculosis (PTB). This study evaluated the cost effectiveness of utilizing MODS versus Xpert for diagnosis of active pulmonary TB in HIV infected patients in Uganda. METHODS: A decision analysis model comparing MODS versus Xpert for TB diagnosis was used. Costs were estimated by measuring and valuing relevant resources required to perform the MODS and Xpert tests. Diagnostic accuracy data of the tests were obtained from systematic reviews involving HIV infected patients. We calculated base values for unit costs and varied several assumptions to obtain the range estimates. Cost effectiveness was expressed as costs per TB patient diagnosed for each of the two diagnostic strategies. Base case analysis was performed using the base estimates for unit cost and diagnostic accuracy of the tests. Sensitivity analysis was performed using a range of value estimates for resources, prevalence, number of tests and diagnostic accuracy. RESULTS: The unit cost of MODS was US$ 6.53 versus US$ 12.41 of Xpert. Consumables accounted for 59 % (US$ 3.84 of 6.53) of the unit cost for MODS and 84 % (US$10.37 of 12.41) of the unit cost for Xpert. The cost effectiveness ratio of the algorithm using MODS was US$ 34 per TB patient diagnosed compared to US$ 71 of the algorithm using Xpert. The algorithm using MODS was more cost-effective compared to the algorithm using Xpert for a wide range of different values of accuracy, cost and TB prevalence. The cost (threshold value), where the algorithm using Xpert was optimal over the algorithm using MODS was US$ 5.92. CONCLUSIONS: MODS versus Xpert was more cost-effective for the diagnosis of PTB among HIV patients in our setting. Efforts to scale-up MODS therefore need to be explored. However, since other non-economic factors may still favour the use of Xpert, the current cost of the Xpert cartridge still needs to be reduced further by more than half, in order to make it economically competitive with MODS.

Mapping financial flows for immunisation in Uganda 2009/10 and 2010/11: New insights for methodologies and policy.

BACKGROUND: The Global Vaccine Action Plan highlights the need for immunisation programmes to have sustainable access to predictable funding. A good understanding of current and future funding needs, commitments, and gaps is required to enhance planning, improve resource allocation and mobilisation, and to avoid funding bottlenecks, as well as to ensure that co-funding arrangements are appropriate. This study aimed to map the resource envelope and flows for immunisation in Uganda in 2009/10 and 2010/11. METHODS: To assess costs and financing of immunisation, the study applied a common methodology as part of the multi-country Expanded Program on Immunisation Costing (EPIC) study (Brenzel et al., 2015). The financial mapping developed a customised extension of the System of Health Accounts (SHA) codes to explore immunisation financing in detail. Data were collected from government and external sources. The mapping was able to assess financing more comprehensively than many studies, and the simultaneous costing of routine immunisation collected detailed data about human resources costs. RESULTS: The Ugandan government contributed 56% and 42% of routine immunisation funds in 2009/10 and 2010/11, respectively, higher than previously estimated, and managed up to 90% of funds. Direct delivery of services used 93% of the immunisation financial resources in 2010/11, while the above service delivery costs were small (7%). Vaccines and supplies (41%) and salaries (38%) absorbed most funding. There were differences in the key cost categories between actual resource flows and the estimates from the comprehensive multi-year plan (cMYP). CONCLUSIONS: Results highlight that governments and partners need to improve systems to routinely track immunisation financing flows for enhanced accountability, performance, and sustainability. The modified SHA coding allowed financing to be mapped to specific immunisation activities, and could be used for standardised, resource tracking compatible with National Health Accounts (NHA). Recommendations are made for refining routine resource mapping approaches.

Who pays for and who benefits from health care services in Uganda?

BACKGROUND: Equity in health care entails payment for health services according to the capacity to pay and the receipt of benefits according to need. In Uganda, as in many African countries, although equity is extolled in government policy documents, not much is known about who pays for, and who benefits from, health services. This paper assesses both equity in the financing and distribution of health care benefits in Uganda. METHODS: Data are drawn from the most recent nationally representative Uganda National Household Survey 2009/10. Equity in health financing is assessed considering the main domestic health financing sources (i.e., taxes and direct out-of-pocket payments). This is achieved using bar charts and standard concentration and Kakwani indices. Benefit incidence analysis is used to assess the distribution of health services for both public and non-public providers across socio-economic groups and the need for care. Need is assessed using limitations in functional ability while socioeconomic groups are created using per adult equivalent consumption expenditure. RESULTS: Overall, health financing in Uganda is marginally progressive; the rich pay more as a proportion of their income than the poor. The various taxes are more progressive than out-of-pocket payments (e.g., the Kakwani index of personal income tax is 0.195 compared with 0.064 for out-of-pocket payments). However, taxes are a much smaller proportion of total health sector financing compared with out-of-pocket payments. The distribution of total health sector services benefitsis pro-rich. The richest quintile receives 19.2% of total benefits compared to the 17.9% received by the poorest quintile. The rich also receive a much higher share of benefits relative to their need. Benefits from public health units are pro-poor while hospital based care, in both public and non-public sectors are pro-rich. CONCLUSION: There is a renewed interest in ensuring equity in the financing and use of health services. Based on the results in this paper, it would seem that in order to safeguard such equity, there is a need for policy that focuses on addressing the health needs of the poor while continuing to ensure that the burden of financing health services does not rest disproportionately on the poor.

Assessing catastrophic and impoverishing effects of health care payments in Uganda.

BACKGROUND: Direct out-of-pocket payments for health care are recognised as limiting access to health care services and also endangering the welfare of households. In Uganda, such payments comprise a large portion of total health financing. This study assesses the catastrophic and impoverishing impact of paying for health care out-of-pocket in Uganda. METHODS: Using data from the Uganda National Household Surveys 2009/10, the catastrophic impact of out-of-pocket health care payments is defined using thresholds that vary with household income. The impoverishing effect of out-of-pocket health care payments is assessed using the Ugandan national poverty line and the World Bank poverty line ($1.25/day). RESULTS: A high level and intensity of both financial catastrophe and impoverishment due to out-of-pocket payments are recorded. Using an initial threshold of 10% of household income, about 23% of Ugandan households face financial ruin. Based on both the $1.25/day and the Ugandan poverty lines, about 4% of the population are further impoverished by such payments. This represents a relative increase in poverty head count of 17.1% and 18.1% respectively. CONCLUSION: The absence of financial protection in Uganda's health system calls for concerted action. Currently, out-of-pocket payments account for a large share of total health financing and there is no pooled prepayment system available. There is therefore a need to move towards mandatory prepayment. In this way, people could access the needed health services without any associated financial consequence.

The association between depression, quality of life, and the health care expenditure of patients with diabetes mellitus in Uganda.

BACKGROUND: Depression is one of the commonest neuropsychiatric disorders in patients with diabetes mellitus (DM) and is associated with poor glycaemic control, vascular complications, a low quality of life and increased health care expenditure. Co-morbid DM and depression remains poorly identified and inadequately treated in sub-Saharan Africa. METHODS: We conducted a cross-sectional survey of 437 patients with DM at 3 DM clinics in Uganda. Participants were assessed for depression, blood sugar levels, diabetic neuropathy, quality of life, and health care expenditures. RESULTS: The prevalence of depression was 34.8%. Depressed participants were more likely to be suicidal [OR=3.81, (CI 2.87-5.04)], younger [OR=3.98 CI (1.20-13.23)], un-employed [OR=1.99(CI 1.04-3.81)], and having lost a spouse [OR=2.36 (CI 1.29-4.31)]. Overall quality of life was poor [OR=0.67 (CI 0.47-0.96)], they scored poorer in the physical [OR=0.97, (CI 0.95-0.99)], psychological [OR=1.05 (CI 1.03-1.07)], and environmental [OR=0.97, (CI 0.95-0.99)] domains. They had an increased likelihood of incurring direct out-of-pocket payments for health care services [OR=1.56 (CI 1.03-2.36)], and were more likely to be impoverished [OR=1.52 (CI 1.01-2.28)]. LIMITATION: The cross sectional nature of this study makes it difficult to examine causation. More studies are required in order to better understand the associations and impact of the factors examined above on patient outcomes. CONCLUSIONS: Depression is highly prevalent among patients with DM in Uganda, and is associated with a number of adverse outcomes. A holistic approach that focuses on the depression management among patients with diabetes is recommended.