Equity in vaccine coverage in Uganda from 2000 to 2016: revealing the multifaceted nature of inequity.

BACKGROUND: This study analyses vaccine coverage and equity among children under five years of age in Uganda based on the 2016 Uganda Demographic and Health Survey (UDHS) dataset. Understanding equity in vaccine access and the determinants is crucial for the redress of emerging as well as persistent inequities. METHODS: Applied to the UDHS for 2000, 2006, 2011, and 2016, the Vaccine Economics Research for Sustainability and Equity (VERSE) Equity Toolkit provides a multivariate assessment of immunization coverage and equity by (1) ranking the sample population with a composite direct unfairness index, (2) generating quantitative measure of efficiency (coverage) and equity, and (3) decomposing inequity into its contributing factors. The direct unfairness ranking variable is the predicted vaccination coverage from a logistic model based upon fair and unfair sources of variation in vaccination coverage. Our fair source of variation is defined as the child's age - children too young to receive routine immunization are not expected to be vaccinated. Unfair sources of variation are the child's region of residence, and whether they live in an urban or rural area, the mother's education level, the household's socioeconomic status, the child's sex, and their insurance coverage status. For each unfair source of variation, we identify a "more privileged" situation. RESULTS: The coverage and equity of the Diphtheria-Pertussis-Tetanus vaccine, 3rd dose (DPT3) and the Measles-Containing Vaccine, 1st dose (MCV1) - two vaccines indicative of the health system's performance - improved significantly since 2000, from 49.7% to 76.8% and 67.8% to 82.7%, respectively, and there are fewer zero-dose children: from 8.4% to 2.2%. Improvements in retaining children in the program so that they complete the immunization schedule are more modest (from 38.1% to 40.8%). Progress in coverage was pro-poor, with concentration indices (wealth only) moving from 0.127 (DPT3) and 0.123 (MCV1) in 2000 to -0.042 and -0.029 in 2016. Gains in overall equity (composite) were more modest, albeit significant for most vaccines except for MCV1: concentration indices of 0.150 (DPT3) and 0.087 (MCV1) in 2000 and 0.054 and 0.055 in 2016. The influence of the region and settings (urban/rural) of residence significantly decreased since 2000. CONCLUSION: The past two decades have seen significant improvements in vaccine coverage and equity, thanks to the efforts to strengthen routine immunization and ongoing supplemental immunization activities such as the Family Health Days. While maintaining the regular provision of vaccines to all regions, efforts should be made to alleviate the impact of low maternal education and literacy on vaccination uptake.

The economic burden of pneumonia in children under five in Uganda.

BACKGROUND: There were about 138 million new episodes of pneumonia and 0.9 million deaths globally in 2015. In Uganda, pneumonia was the fourth leading cause of death in children under five years of age in 2017-18. However, the economic burden of pneumonia, particularly for households and caregivers, is poorly documented. AIM: To estimate the costs associated with an episode of pneumonia from the household, government, and societal perspectives. METHODS: We selected 48 healthcare facilities from the public and private sector across all care levels (primary, secondary, and tertiary), based on the number of pneumonia episodes reported for 2015-16. Adult caregivers of children with pneumonia diagnosis at discharge were selected. Using an ingredient-based approach, we collected cost and utilization data from administrative databases, medical records, and patient caregiver surveys. Household costs included direct medical and non-medical costs, as well as indirect costs estimated through a human capital approach. All costs are presented in 2018 U.S. dollars. RESULTS: The treatment of pneumonia puts a substantial economic burden on households. The average societal cost per episode of pneumonia across all sectors and types of visits was $42; hospitalized episodes costed an average of $62 per episode, while episodes only requiring ambulatory care was $16 per episode. Public healthcare facilities covered $12 and $7 on average per hospitalized or ambulatory episode, respectively. Caregivers using the public system faced lower out-of-pocket payments, evaluated at $17, than those who used private for-profit ($21) and not-for-profit ($50) for hospitalized care. For ambulatory care, out-of-pocket payments amounted to $8, $18, and $9 for public, private for-profit, and not-for-profit healthcare facilities, respectively. About 39% of households experienced catastrophic health expenditures due to out-of-pocket payments related to the treatment of pneumonia.

Trends in access to anti-malarial treatment in the formal private sector in Uganda: an assessment of availability and affordability of first-line anti-malarials and diagnostics between 2007 and 2018.

BACKGROUND: Malaria is the single largest cause of illness in Uganda. Since the year 2008, the Global Fund has rolled out several funding streams for malaria control in Uganda. Among these are mechanisms aimed at increasing the availability and affordability of artemisinin-based combination therapy (ACT). This paper examines the availability and affordability of first-line malaria treatment and diagnostics in the private sector, which is the preferred first point of contact for 61% of households in Uganda between 2007 and 2018. METHODS: Cross-sectional surveys were conducted between 2007 and 2018, based on a standardized World Health Organization/Health Action International (WHO/HAI) methodology adapted to assess availability, patient prices, and affordability of ACT medicines in private retail outlets. A minimum of 30 outlets were surveyed per year as prescribed by the standardized methodology co-developed by the WHO and Health Action International. Availability, patient prices, and affordability of malaria rapid diagnostic tests (RDTs) was also tracked from 2012 following the rollout of the test and treat policy in 2010. The median patient prices for the artemisinin-based combinations and RDTs was calculated in US dollars (USD). Affordability was assessed by computing the number of days' wages the lowest-paid government worker (LPGW) had to pay to purchase a treatment course for acute malaria. RESULTS: Availability of artemether/lumefantrine (A/L), the first-line ACT medicine, increased from 85 to100% in the private sector facilities during the study period. However, there was low availability of diagnostic tests in private sector facilities ranging between 13% (2012) and 37% (2018). There was a large reduction in patient prices for an adult treatment course of A/L from USD 8.8 in 2007 to USD 1.1 in 2018, while the price of diagnostics remained mostly stagnant at USD 0.5. The affordability of ACT medicines and RDTs was below one day's wages for LPGW. CONCLUSIONS: Availability of ACT medicines in the private sector medicines retail outlets increased to 100% while the availability of diagnostics remained low. Although malaria treatment was affordable, the price of diagnostics remained stagnant and increased the cumulative cost of malaria management. Malaria stakeholders should consolidate the gains made and consider the inclusion of diagnostic kits in the subsidy programme.

Estimating the cost of implementing a facility and community score card for maternal and newborn care service delivery in a rural district in Uganda.

INTRODUCTION: This paper aimed at estimating the resources required to implement a community Score Card by a typical rural district health team in Uganda, as a mechanism for fostering accountability, utilization and quality of maternal and child healthcare service. METHODS: This costing analysis was done from the payer's perspective using the ingredients approach over five quarterly rounds of scoring between 2017 and 2018. Expenditure data was obtained from project records, entered and analyzed in Microsoft excel. Two scale-up scenarios, scenario one (considered cost inputs by the MakSPH research teams) and scenario two (considering cost inputs based on contextual knowledge from district implementing teams), were simulated to better understand the cost implications of integrating the Community Score Card (CSC) into a district health system. RESULTS: The total and average cost of implementing CSC for five quarterly rounds over a period of 18 months were USD 59,962 and USD 11,992 per round of scoring, respectively. Considering the six sub-counties (including one Town Council) in Kibuku district that were included in this analysis, the average cost of implementating the CSC in each sub-county was USD 1998 per scoring round. Scaling-up of the intervention across the entire district (included 22 sub-counties) under the first scenario would cost a total of USD 19,003 per scoring round. Under the second scaleup scenario, the cost would be lower at USD 7116. The total annual cost of scaling CSC in the entire district would be USD 76,012 under scenario one compared to USD 28,465 under scenario two. The main cost drivers identified were transportation costs, coordination and supervision costs, and technical support to supplement local implementers. CONCLUSION: Our analysis suggests that it is financially feasible to implement and scale-up the CSC initiative, as an accountability tool for enhancing service delivery. However, the CSC design and approach needs to be embedded within local systems and implemented in collaboration with existing stakeholders so as to optimise costs. A comprehensive economic analysis of the costs associated with transportation, involvement of the district teams in coordination, supervision as well as provision of technical support is necessary to determine the cost-effectiveness of the CSC approach.

The economic burden of measles in children under five in Uganda.

BACKGROUND: There is very limited evidence about the economic cost of measles in low-income countries. We estimated the cost of treating measles in Uganda from a societal perspective. METHODS: We conducted an incidence-based cost-of-illness study in Uganda. We surveyed the facility staff, recording hospital-related expenditures for measles patients. We interviewed caregivers of children with measles at 48 selected healthcare facilities. We conducted phone interviews with caregivers 7-14 days post-discharge to capture additional out-of-pocket expenses and time costs. RESULTS: From a societal perspective, a hospitalized and an ambulatory episode of measles cost 2018 US$ 60 and $15, respectively. The government spent on average $12 and $5 per hospitalized and ambulatory episode of measles. Including both public and private facilities, caregivers incurred approximately $44 in economic costs, including $23 in out-of-pocket expenses. In 2018, 2614 cases of measles were confirmed, resulting in $135,627 in societal costs, including $59,357 in economic costs to Ugandan households. CONCLUSION: This cost-of-illness study is the first to use empirical methods to quantify the economic burden of measles in a low-income country. Information related to the cost of treating measles is important for guiding decisions related to changes in measles control and prevention.

Health versus other sectors: Multisectoral resource allocation preferences in Mukono district, Uganda.

OBJECTIVES: To elicit citizen preferences for national budget resource allocation in Uganda, examine respondents' preferences for health vis-à-vis other sectors, and compare these preferences with actual government budget allocations. METHODS: We surveyed 432 households in urban and rural areas of Mukono district in central Uganda.We elicited citizens' preferences for resource allocation across all sectors using a best-worst scaling (BWS) survey. The BWS survey consisted of 16 sectors corresponding to the Uganda national budget line items. Respondents chose, from a subset of four sectors across 16 choice tasks, which sectors they thought were most and least important to allocate resources to. We utilized the relative best-minus-worst score method and a conditional logistic regression to obtain ranked preferences for resource allocation across sectors. We then compared the respondents' preferences with actual government budget allocations. RESULTS: The health sector was the top ranked sector where 82% of respondents selected health as the most important sector for the government to fund, but it was ranked sixth in national budget allocation, encompassing 6.4% of the total budget. Beyond health, water and environment, agriculture, and social development sectors were largely underfunded compared to respondents' preferences. Works and transport, education, security, and justice, law and order received a larger share of the national budget compared to respondents' preferences. CONCLUSIONS: Among respondents from Mukono district in Uganda, we found that citizens' preferences for resource allocation across sectors, including for the health sector, were fundamentally misaligned with current government budget allocations. Evidence of respondents' strong preferences for allocating resources to the health sector could help stakeholders make the case for increased health sector allocations. Greater investment in health is not only essential to satisfy citizens' needs and preferences, but also to meet the government's health goals to improve health, strengthen health systems, and achieve universal health coverage.