This paper revisits the widely held idea of a “human resources crisis” in primary health care (PHC) across low- and middle-income countries (LMICs). First, we review micro- and macro-level evidence, finding little empirical support for generalized workforce shortages. Providers in LMICs appear to operate with substantial excess capacity, characterized by low caseloads, short consultation lengths, and modest wait times. Second, using nationally representative data from 7,915 facilities across 10 African countries, we estimate that the median provider sees 10.9 patients per day. We suggest that the widely perceived experience of overcrowding arises from a highly unequal distribution of caseloads, with most visits concentrated among a minority of providers. In other words, the average provider is not busy, but the average patient visits a busy provider. Third, we assess allocative inefficiencies using matched data on provider caseload and competence, documenting that caseloads are not concentrated among more competent providers. Using simulations, we show that this misallocation reduces potential aggregate service quality by 4%–33%, depending on the country. These findings suggest that failures in PHC service delivery cannot be addressed by simply expanding human resources under existing systems arrangements– the competence, allocation, and utilization of both new and existing providers must be improved to meaningfully impact care quality.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (2 processors)
• Memory available: 32.0 GB
• Software version: Stata 19.5 MP
Run time: ~ 1 hour
To reproduce the findings in this paper, a replicator must:
runfile, and run it.Note: The reproducibility package begins with intermediate data as the raw data is restricted. Intermediate data is included in the reproducibility package and can be used to fully reproduce the results in the paper.
Some data is restricted and has not been included in the reproducibility package. Intermediate data is included in the reproducibility package and can be used to fully reproduce the results in the paper. For more details, please refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Jishnu Das | Georgetown University, McCourt School of Public Policy | jishnu.das@georgetown.edu |
| Benjamin Daniels | Harvard University, School of Public Health | bdaniels@fas.harvard.edu |
| Roberta Gatti | World Bank Group | rgatti@worldbank.org |
| Andres Yi Chang | World Bank Group | ayichang@worldbank.org |
2026-06-03
| Location | Code |
|---|---|
| Sub-Saharan Africa | SSA |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Jishnu Das | Georgetown University, McCourt School of Public Policy | jishnu.das@georgetown.edu |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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