An Exploratory Study on Equity in Funding Allocation for Essential Medicines and Health Supplies in Uganda’s Public Sector

An Exploratory Study on Equity in Funding Allocation for Essential Medicines and Health Supplies in Uganda’s Public Sector

By: Donna Kusemererwa, Anita Alban, Ocwa Thomas Obua, Birna Trap
Publication: BMC Health Services ResearchAug. 2016; 16: 453. DOI 10.1186/s12913-016-1698-6.

Abstract

Background

To ascertain equity in financing for essential medicines and health supplies (EMHS) in Uganda, this paper explores the relationships among government funding allocations for EMHS, patient load, and medicines availability across facilities at different levels of care.

Methods

We collected data on EMHS allocations and availability of selected vital medicines from 43 purposively sampled hospitals and the highest level health centers (HC IV), 44 randomly selected lower-level health facilities (HC II, III), and from over 400 facility health information system records and National Medical Stores records. The data were analyzed to determine allocations per patient within and across levels of care and the effects of allocations on product availability.

Results

EMHS funding allocations per patient varied widely within facilities at the same level, and allocations per patient between levels overlapped considerably. For example, HC IV allocations per patient ranged from US$0.25 to US$2.14 (1:9 ratio of lowest to highest allocation), and over 75 % of HC IV facilities had the same or lower average allocation per patient than HC III facilities. Overall, 43 % of all the facilities had optimal stock levels, 27 % were understocked, and 30 % were overstocked. Using simulations, we reduced the ratio between the highest and lowest allocations per patient within a level of care to less than two and eliminated the overlap in allocation per patient between levels.

Conclusions

Inequity in EMHS allocation is demonstrated by the wide range of funding allocations per patient and the corresponding disparities in medicines availability. We show that using patient load to calculate EMHS allocations has the potential to improve equity significantly. However, more research in this area is urgently needed.