Evidence map›Paper›PMID 42527532›Full record

Articlenpj health systems2026

Measures to monitor the implementation of Essential Health Benefit Packages at a national scale.

Sali Ahmed, Jiashuo Sun, Yanjia Cao, David Watkins, Yanfang Su

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sali AhmedDepartment of Global Health, School of Public Health and School of Medicine, University of Washington, Seattle, WA, USA.
Jiashuo SunDepartment of Geography, The University of Hong Kong, Hong Kong, China.
Yanjia CaoDepartment of Geography, The University of Hong Kong, Hong Kong, China.
David WatkinsDepartment of Global Health, School of Public Health and School of Medicine, University of Washington, Seattle, WA, USA.
Yanfang SuDepartment of Global Health, School of Public Health and School of Medicine, University of Washington, Seattle, WA, USA. yfsu@uw.edu.

Funding

Research Council of Norway through its Centres of Excellence scheme, project number 332673, and the Trond Mohn Research Foundation BFS2019TMT02
6 · The paper itself

Abstract

Universal health coverage requires identifying who is covered by which services. However, weak health information systems hinder monitoring coverage of Essential Health Benefit Packages (EHBPs). We developed a method for measuring input-adjusted coverage, a potential coverage metric, combining geographic proximity with minimum-input facility readiness, using Malawi as a case study. We mapped the Disease Control Priorities Project interventions to the 2019 Harmonized Health Facility Assessment, constructing transparent input-based readiness indicators. We assessed readiness and generated readiness bottleneck cascades for 129 interventions in 563 publicly financed healthcare facilities. We conducted service area analysis, assessing national and district-level coverage within 5 and 25 km catchment areas based on health service level. Findings revealed high childhood vaccinations, HIV, and malaria management readiness and coverage compared to non-communicable diseases and surgical care. This method repurposes facility surveys and provides actionable insights on supply-side gaps for EHBP planning, resource allocation, and monitoring in low-resource settings.

Identifiers

PMID42527532
PMCPMC13354221

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.