Evidence map›Paper›PMID 25243780›Full record

ReviewPLoS medicine2014

Effective coverage: a metric for monitoring Universal Health Coverage.

Marie Ng, Nancy Fullman, Joseph L Dieleman, Abraham D Flaxman, Christopher J L Murray, Stephen S Lim

Abstract readReview
In one paragraph

Review in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 5 pooled it
–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

137 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  5. Pooled it
  6. Trial
  7. Did a quality improvement intervention improve quality of maternal health care? Implementation evaluation from a cluster-randomized controlled study.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2020
    Trial
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  15. Trend analysis and modelling of universal health coverage, Ethiopia.Bulletin of the World Health Organization · 2026
    Article
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77 more citing papers are in PubMed but not listed here.

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

6 authors.

Marie NgInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.
Nancy FullmanInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.
Joseph L DielemanInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.
Abraham D FlaxmanInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.
Christopher J L MurrayInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.
Stephen S LimInstitute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in monitoring universal health coverage (UHC) is identifying an indicator that can adequately capture the multiple components underlying the UHC initiative. Effective coverage, which unites individual and intervention characteristics into a single metric, offers a direct and flexible means to measure health system performance at different levels. We view effective coverage as a relevant and actionable metric for tracking progress towards achieving UHC. In this paper, we review the concept of effective coverage and delineate the three components of the metric - need, use, and quality - using several examples. Further, we explain how the metric can be used for monitoring interventions at both local and global levels. We also discuss the ways that current health information systems can support generating estimates of effective coverage. We conclude by recognizing some of the challenges associated with producing estimates of effective coverage. Despite these challenges, effective coverage is a powerful metric that can provide a more nuanced understanding of whether, and how well, a health system is delivering services to its populations.

Indexed as

Delivery of Health CareHealth Services AccessibilityHealth Services Needs and DemandHumansUniversal Health Insurance

Identifiers

PMID25243780
PMCPMC4171091

What OpenQuestion 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 OpenQuestion graph.