Evidence map›Paper›PMID 31297252›Full record

ReviewBMJ global health2019

Advances in the measurement of coverage for RMNCH and nutrition: from contact to effective coverage.

Agbessi Amouzou, Hannah Hogan Leslie, Malathi Ram, Monica Fox, Safia S Jiwani, Jennifer Requejo, Tanya Marchant, Melinda Kay Munos, Lara M E Vaz, William Weiss and 2 more

Abstract readReview
In one paragraph

Review in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

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

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  8. Effective Coverage of Rehabilitation for Adults with Chronic Primary Low Back Pain in Uganda.International journal of environmental research and public health · 2026
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36 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

12 authors.

Agbessi AmouzouDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-6262-3866
Hannah Hogan LeslieGlobal Health and Population, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-7464-3645
Malathi RamDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Monica FoxDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Safia S JiwaniDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Jennifer RequejoDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Tanya MarchantDisease Control, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-4228-4334
Melinda Kay MunosDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Lara M E VazGlobal Health, Save the Children, Fairfield, Connecticut, USA.
William WeissDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Chika HayashiData and Analytics Section, Division of Data, Research and Policy, UNICEF USA, New York, New York, USA.
Ties BoermaCommunity Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID 0000-0001-9922-495X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for measuring intervention coverage for reproductive, maternal, newborn, and child health and nutrition (RMNCH+N) do not adequately capture the quality of services delivered. Without information on the quality of care, it is difficult to assess whether services provided will result in expected health improvements. We propose a six-step coverage framework, starting from a target population to (1) service contact, (2) likelihood of services, (3) crude coverage, (4) quality-adjusted coverage, (5) user-adherence-adjusted coverage and (6) outcome-adjusted coverage. We support our framework with a comprehensive review of published literature on effective coverage for RMNCH+N interventions since 2000. We screened 8103 articles and selected 36 from which we summarised current methods for measuring effective coverage and computed the gaps between 'crude' coverage measures and quality-adjusted measures. Our review showed considerable variability in data sources, indicator definitions and analytical approaches for effective coverage measurement. Large gaps between crude coverage and quality-adjusted coverage levels were evident, ranging from an average of 10 to 38 percentage points across the RMNCH+N interventions assessed. We define effective coverage as the proportion of individuals experiencing health gains from a service among those who need the service, and distinguish this from other indicators along a coverage cascade that make quality adjustments. We propose a systematic approach for analysis along six steps in the cascade. Research to date shows substantial drops in effective delivery of care across these steps, but variation in methods limits comparability of the results. Advancement in coverage measurement will require standardisation of effective coverage terminology and improvements in data collection and methodological approaches.

Indexed as

continuum of careeffective coverageintervention coveragequality-adjusted coveragequality of careRMNCH+N

Identifiers

PMID31297252
PMCPMC6590972

What OpenQuestion holds

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LicenceCC BY
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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.