Demands for Intersectoral Actions to Meet Health Challenges in East and Southern Africa and Methods for Their Evaluation.

OBJECTIVES: Focusing on the East, Central, and Southern African region, this study examines both regional and country-level initiatives aimed at promoting multisectoral collaboration to improve population health and the methods for their economic evaluation. METHODS: We explored the interventions that necessitate cooperation among policymakers from diverse sectors and the mechanisms that facilitate effective collaboration and coordination across these sectors. To gain insights into the demand for multisectoral collaboration in the East, Central, and Southern African region, we presented 3 country briefs, highlighting policy areas and initiatives that have successfully incorporated health-promoting actions from outside the health sector in Zimbabwe, Uganda, and Malawi. Additionally, we showcased initiatives undertaken by the Ministry of Health in each country to foster coordination with national and international stakeholders, along with existing coordination mechanisms established for intersectoral collaboration. Drawing on these examples, we identified the primary challenges in the economic evaluation of multisectoral programs aimed at improving health in the region. RESULTS: We illustrated how decision making in reality differs from the traditional single-sector and single-decision-maker perspective commonly used in cost-effectiveness analyses. To ensure economic evaluations can inform decision making in diverse settings and facilitate regional collaboration, we highlighted 3 fundamental principles: identifying policy objectives, defining the perspective of the analysis, and considering opportunity costs. We emphasized the importance of adopting a flexible and context-specific approach to economic evaluation. CONCLUSIONS: Through this work, we contribute to bridging the gap between theory and practice in the context of intersectoral activities aimed at improving health outcomes.

Health technology assessment (HTA) readiness in Uganda: stakeholder's perceptions on the potential application of HTA to support national universal health coverage efforts.

INTRODUCTION: Health technology assessment (HTA) is an area that remains less implemented in low- and lower middle-income countries. The aim of the study is to understand the perceptions of stakeholders in Uganda toward HTA and its role in decision making, in order to inform its potential implementation in the country. METHODS: The study takes a cross-sectional mixed methods approach, utilizing an adapted version of the International Decision Support Initiative questionnaire with both semi-structured and open-ended questions. We interviewed thirty key informants from different stakeholder institutions in Uganda that support policy and decision making in the health sector. RESULTS: All participants perceived HTA as an important tool for decision making. Allocative efficiency was regarded as the most important use of HTA receiving the highest average score (8.8 out of 10), followed by quality of healthcare (7.8/10), transparency (7.6/10), budget control (7.5/10), and equity (6.5/10). There was concern that some of the uses of HTA may not be achieved in reality if there was political interference during the HTA process. The study participants identified development partners as the most likely potential users of HTA (66.7 percent of participants), followed by Ministry of Health (43.3 percent). CONCLUSION: Interviewed stakeholders in Uganda viewed the role of HTA positively, suggesting that there exists a promising environment for the establishment and operationalization of HTA as a tool for decision making within the health sector. However, sustainable development and application of HTA in Uganda will require adequate capacity both to undertake HTAs and to support their use and uptake.

Levels, trends and determinants of technical efficiency of general hospitals in Uganda: data envelopment analysis and Tobit regression analysis.

BACKGROUND: General hospitals provide a wide range of primary and secondary healthcare services. They accounted for 38% of government funding to health facilities, 8.8% of outpatient department visits and 28% of admissions in Uganda in the financial year 2016/17. We assessed the levels, trends and determinants of technical efficiency of general hospitals in Uganda from 2012/13 to 2016/17. METHODS: We undertook input-oriented data envelopment analysis to estimate technical efficiency of 78 general hospitals using data abstracted from the Annual Health Sector Performance Reports for 2012/13, 2014/15 and 2016/17. Trends in technical efficiency was analysed using Excel while determinants of technical efficiency were analysed using Tobit Regression Model in STATA 15.1. RESULTS: The average constant returns to scale, variable returns to scale and scale efficiency of general hospitals for 2016/17 were 49% (95% CI, 44-54%), 69% (95% CI, 65-74%) and 70% (95% CI, 65-75%) respectively. There was no statistically significant difference in the efficiency scores of public and private hospitals. Technical efficiency generally increased from 2012/13 to 2014/15, and dropped by 2016/17. Some hospitals were persistently efficient while others were inefficient over this period. Hospital size, geographical location, training status and average length of stay were statistically significant determinants of efficiency at 5% level of significance. CONCLUSION: The 69% average variable returns to scale technical efficiency indicates that the hospitals could generate the same volume of outputs using 31% (3439) less staff and 31% (3539) less beds. Benchmarking performance of the efficient hospitals would help to guide performance improvement in the inefficient ones. There is need to incorporate hospital size, geographical location, training status and average length of stay in the resource allocation formula and adopt annual hospital efficiency assessments.

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.