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February 14, 2026BMJ Global Health0 citationsOpen Access

Level and determinants of district primary healthcare system technical efficiency in Ghana: two-stage stochastic frontier analysis

BABeatrice AmbokoJNJacob NovignonRMRose Nabi Deborah Karimi Muthuri

Key Points

  • This study examines the efficiency of primary healthcare resource use in districts across Ghana and identifies influencing factors.
  • Used a two-step stochastic frontier analysis model.
  • Analyzed data from 181 districts in Ghana.
  • Evaluated a composite coverage index based on eight PHC service indicators.
  • Measured input variables like health expenditure, number of facilities, and clinical staff.
  • Districts functioned at an average efficiency of 87%, with variability from 65% to 99%.
  • Higher proportions of PHC facilities improved resource efficiency (coeff=0.151, 95% CI=0.041 to 0.261).
  • Income inequality negatively affected efficiency (coeff=−0.858, 95% CI=−1.146 to −0.252).

Abstract

Background Primary healthcare (PHC) is critical towards achieving Universal Health Coverage (UHC). In Ghana, PHC is organised at the district level and plays a key role in the country’s pursuit of UHC. However, many districts face challenges not only with limited resources but also with how effectively they are used. We examined how efficiently districts in Ghana use their health resources and what factors are associated with this efficiency. Methods We used a two-step stochastic frontier analysis model using data from 181 districts. The output variable was a composite coverage index derived from eight PHC service indicators for 2021, primarily reflecting maternal and child health and infectious disease services. Input variables included district health expenditure for 2020/2021 and the number of health facilities and clinical staff in 2021. We then assessed the associations between efficiency scores generated by the model and health systems, socioeconomic and demographic factors, such as health facility type, insurance coverage, literacy level, Gini coefficient, poverty incidence, urbanisation and population density. Results On average, districts operated at 87% efficiency, with scores ranging from 65% to 99%. Two factors were associated with the efficiency. First, districts with a higher proportion of PHC facilities tended to use resources more efficiently (coeff=0.151; 95% CI=0.041 to 0.261). Second, districts with greater income inequality were less efficient, measured by the Gini coefficient (coeff=−0.858; 95% CI=−1.146 to −0.252). Conclusion Districts in Ghana have the potential to improve PHC outputs by about 13% on average by better use of existing resources and addressing determinants of efficiency. Findings suggest that districts with a higher proportion of PHC facilities and lower income inequality tend to be more efficient. These patterns highlight the value of strengthening PHC infrastructure and pursuing equity-focused policies as part of strategies to enhance efficiency in district health systems.

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Cite This Study

Amboko et al. (2026) studied this question.

synapsesocial.com/papers/699010df2ccff479cfe571e8https://doi.org/10.1136/bmjgh-2024-018847
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