Surgical capacity, productivity and efficiency at the district level in Sub-Saharan Africa: A three-country study

PLoS One. 2022 Nov 30;17(11):e0278212. doi: 10.1371/journal.pone.0278212. eCollection 2022.

Abstract

Introduction: Efficient utilisation of surgical resources is essential when providing surgical care in low-resources settings. Countries are developing plans to scale up surgery, though insufficiently based on empirical evidence. This paper investigates the determinants of hospital efficiency in district hospitals in three African countries.

Methods: Three-month data, comprising surgical capacity indicators and volumes of major surgical procedures collected from 61 district-level hospitals in Malawi, Tanzania, and Zambia, were analysed. Data envelopment analysis was used to calculate average hospital efficiency scores (max. = 1) for each country. Quantile regression analysis was selected to estimate the relationship between surgical volume and production factors. Two-stage bootstrap regression analysis was used to estimate the determinants of hospital efficiency.

Results: Average hospital efficiency scores were 0.77 in Tanzania, 0.70 in Malawi and 0.41 in Zambia. Hospitals with high efficiency scores had significantly more surgical staff compared with low efficiency hospitals (DEA score<1). Hospitals that scored high on the most commonly utilised surgical capacity index were not the ones with high surgical volumes or high efficiency. The number of surgical team members, which was lowest in Zambia, was strongly, positively correlated with surgical productivity and efficiency.

Conclusion: Hospital efficiency, combining capacity measures and surgical outputs, is a better indicator of surgical performance than capacity measures, which could be misleading if used alone for surgical planning. Investment in the surgical workforce, in particular, is critical to improving district hospital surgical productivity and efficiency.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Analysis*
  • Hospitals, District
  • Humans
  • Investments*
  • Malawi
  • Tanzania

Grants and funding

The project is funded by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No. 733391. Salaries of JG, MZ, CP, HB, MC, AG, and GM were paid by this grant. Cost of the study was covered by this grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.