Evidence map›Paper›PMID 41645216›Full record

ArticleBMC health services research2026

Assessment of the medical equipment supply chain in the Democratic Republic of Congo: a qualitative methods study.

Jonathan Niles, Marc Bosonkie, Paul-Samson Lusamba-Dikassa, Janna Wisniewski

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jonathan NilesDepartment of International Health and Sustainable Development, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA. jniles@tulane.edu.
Marc BosonkieSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Paul-Samson Lusamba-DikassaSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Janna WisniewskiDepartment of International Health and Sustainable Development, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA.

Funding

United States Agency for International Development 7200AA18LA00008
6 · The paper itself

Abstract

backgroundEfforts to improve health-related supply chains in the Democratic Republic of Congo (DRC) have typically focused on medicines and vaccines, while medical equipment has often been either overlooked or considered incidental. While national guidance exists on the procurement, maintenance, and reporting on medical equipment, the extent to which these norms are implemented in practice is unclear. This study qualitatively assessed the design and operational functioning of the medical equipment system in the DRC, with a focus on information systems, procurement processes, maintenance, and depreciation, and examined how roles and responsibilities shape equipment availability and functionality at health facilities.

methodsA qualitative research design combined a desk review of national policies and in-depth interviews with key stakeholders at health facilities, health zone offices, provincial health departments, the Ministry of Health, and developmental partner organizations in the DRC. Interviews were analyzed using a hybrid approach of content and thematic analysis.

resultsFindings revealed several weaknesses in the medical equipment system in the DRC. Many health facilities, particularly health centers, lacked the minimum required equipment, which adversely affected the quality of services provided. Responsibility for equipment procurement and maintenance was not clearly defined, leading to a lack of accountability and coordination. We identified a disconnect between data availability, resource mobilization, and decision making within the health system. Both equipment procurement and maintenance were governed by unclear and fragmented processes.

conclusionsOverall, the medical equipment system in the DRC is not designed to meet population needs, and in practice the system is not functioning as designed, which contributes to inadequate availability and maintenance of equipment in health facilities. Based on the barriers identified, recommendations include establishing a formal process to keep facilities informed of equipment requests as well as exploring regular planning and budgeting exercises for equipment procurement. The potential benefits of subsidies for equipment purchases, in certain cases, are also highlighted. The findings from this study offer a blueprint for assessing medical equipment systems in low-income countries, highlighting the importance of this often-overlooked component of quality health services.

Indexed as

Equipment and SuppliesDemocratic Republic of the CongoHumansInterviews as TopicQualitative ResearchResource-Limited SettingsDemocratic Republic of CongoHealth information systemsMedical equipmentQualitative methodsSupply chain

Identifiers

PMID41645216
PMCPMC12973841

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.