Evidence map›Paper›PMID 41172154›Full record

ArticleHealth policy and planning2026

Assessing the cost implications of integrating and scaling up HIV services for key populations in Kenya and Malawi.

Andrea Salas-Ortiz, Marjorie Opuni, José Luis Figueroa, Jorge Eduardo Sánchez-Morales, Louis Masankha Banda, Alice Olawo, Spy Munthali, Julius Korir, Meghan DiCarlo, Sergio Bautista-Arredondo

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Article in Health policy and planning, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Andrea Salas-OrtizCentre for Health Economics, University of York, York YO10 5DD, United Kingdom.ORCID 0000-0003-1839-096X
Marjorie OpuniIndependent Consultant, Geneva 1211, Switzerland.ORCID 0000-0002-0939-7695
José Luis FigueroaCenter for Evaluation Research and Surveys (CIEE), National Institute of Public Health (INSP), Cuernavaca, Morelos 62100, México.ORCID 0000-0003-2268-4995
Jorge Eduardo Sánchez-MoralesEconomic Analysis and Health Research Unit, Ministry of Health, Mexico City 11800, Mexico.ORCID 0000-0003-2934-0351
Louis Masankha BandaFHI 360, Lilongwe 1000, Malawi.
Alice OlawoFHI 360, Nairobi 00623, Kenya.
Spy MunthaliUniversity of Malawi, Zomba 2060, Malawi.
Julius KorirKenyatta University, Nairobi 00100, Kenya.
Meghan DiCarloFHI 360, Washington, DC 20037, United States.
Sergio Bautista-ArredondoCenter for Evaluation Research and Surveys (CIEE), National Institute of Public Health (INSP), Cuernavaca, Morelos 62100, México.ORCID 0000-0001-8910-3011

Funding

Bill and Melinda Gates Foundation OPP1175038
6 · The paper itself

Abstract

Limited research has been conducted on strategies to improve the efficiency of HIV services for key populations (KPs). This study investigates ways to enhance healthcare delivery efficiency, focusing on HIV services for KPs. We explore two strategies: expanding service volume and offering multiple HIV services within a single health facility. Using data from the Linkages Across the Continuum of HIV Services for Key Populations Affected by HIV (LINKAGES) program in Kenya and Malawi, we exploit the variation in services provided to assess correlations between different service delivery configurations and their costs. We apply log-log fixed-effects regression models to analyze relationships between the total costs of four HIV services and the volume and range of services delivered. We find that service volume increases correlate with higher total costs, albeit less than proportionally, consistent with possible economies of scale. Negative correlations between service integration and total costs suggest that integrating HIV services for KPs could lead to reduced total costs for some service combinations. These results indicate potential strategies to increase the efficiency of HIV services for KPs, which can inform strategic planning and program execution in Kenya, Malawi, and similar countries.

Indexed as

Delivery of Health Care, IntegratedHIV InfectionsHumansKenyaMalawiefficiencyHIVintegrationkey populationsservice scale-uptotal costs

Identifiers

PMID41172154
PMCPMC12828696

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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.