Evidence map›Paper›PMID 32377405›Full record

ReviewBMJ global health2020

Using implementation science theories and frameworks in global health.

Valéry Ridde, Dennis Pérez, Emilie Robert

Abstract readReview
In one paragraph

Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 6 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

92 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Facilitators and barriers to the implementation of traditional Chinese exercises in cancer patients: a mixed-methods systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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32 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

3 authors.

Valéry RiddeCEPED, IRD (French Institute for Research on sustainable Development), Université de Paris, ERL INSERM SAGESUD, Paris, France.ORCID 0000-0001-9299-8266
Dennis PérezEpidemiology Division, Pedro Kouri Tropical Medicine Institute (IPK), Havana, Cuba.
Emilie RobertICARES and Centre de recherche SHERPA (Institut Universitaire au regard des communautés ethnoculturelles, CIUSSS du Centre-Ouest-de-l'Île-de-Montréal), Montreal, Quebec, Canada.ORCID 0000-0002-2260-1873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In global health, researchers and decision makers, many of whom have medical, epidemiology or biostatistics background, are increasingly interested in evaluating the implementation of health interventions. Implementation science, particularly for the study of public policies, has existed since at least the 1930s. This science makes compelling use of explicit theories and analytic frameworks that ensure research quality and rigour. Our objective is to inform researchers and decision makers who are not familiar with this research branch about these theories and analytic frameworks. We define four models of causation used in implementation science: intervention theory, frameworks, middle-range theory and grand theory. We then explain how scientists apply these models for three main implementation studies: fidelity assessment, process evaluation and complex evaluation. For each study, we provide concrete examples from research in Cuba and Africa to better understand the implementation of health interventions in global health context. Global health researchers and decision makers with a quantitative background will not become implementation scientists after reading this article. However, we believe they will be more aware of the need for rigorous implementation evaluations of global health interventions, alongside impact evaluations, and in collaboration with social scientists.

Indexed as

Global HealthImplementation ScienceAfricaHumanshealth systems evaluationintervention studypublic healthqualitative study

Identifiers

PMID32377405
PMCPMC7199704

What OpenQuestion holds

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LicenceCC BY-NC
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.