Evidence map›Paper›PMID 33435959›Full record

ArticleImplementation science : IS2021

Context-acceptability theories: example of family planning interventions in five African countries.

Jayne Webster, Shari Krishnaratne, Jenna Hoyt, Shiferaw Dechasa Demissie, Nathaly Spilotros, Justine Landegger, Misozi Kambanje, Shannon Pryor, Easterlina Moseti, Seth Marcus and 3 more

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 8 institutions in 5 countries.

Jayne WebsterDisease Control Department, London School of Hygiene and Tropical Medicine, London, UK. Jayne.webster@lshtm.ac.uk.ORCID 0000-0002-0498-8883
Shari KrishnaratneDisease Control Department, London School of Hygiene and Tropical Medicine, London, UK.
Jenna HoytDisease Control Department, London School of Hygiene and Tropical Medicine, London, UK.
Shiferaw Dechasa DemissieInternational Rescue Committee Ethiopia Programme, Addis Ababa, Ethiopia.
Nathaly SpilotrosInternational Rescue Committee US, New York, USA.
Justine LandeggerInternational Rescue Committee US, New York, USA.
Misozi KambanjeSave the Children Malawi Country Office, Blantyre, Malawi.
Shannon PryorSave the Children US, Washington, DC, USA.
Easterlina MosetiWorld Vision International, Nairobi, Kenya.
Seth MarcusWorld Vision US, Monrovia, CA, USA.
Marius GnintoungbeCARE Benin, Cotonou, Benin.
Dora CurryCARE USA, Atlanta, USA.
Jessie K HamonDisease Control Department, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBInternational Rescue Committee · USAfrica International University · KECARE USA · USInternational Rescue Committee · ETProgamme National Contre le Tuberculose · BJSave the Children · USWorld Vision · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily planning (FP) can lengthen birth intervals and potentially reduce the risk of foetal death, low birthweight, prematurity, and being small for gestational age. Effective FP is most easily achieved through access to and acceptability of modern contraceptive methods (MCMs). This study aimed to identify mechanisms of acceptability and the contexts in which they are triggered and to generate theories to improve the selection and implementation of effective interventions by studying an intervention integrating FP with childhood immunisation services.

methodsQualitative interpretative synthesis of findings from realist evaluations of FP interventions in five African countries was guided by an analytical framework. Empirical mechanisms of acceptability were identified from semi-structured interviews and focus group discussions with key stakeholders (N = 253). The context in which these mechanisms were triggered was also defined. Empirical mechanisms of acceptability were matched to constructs of a theoretical framework of acceptability. Context-acceptability theories (CATs) were developed, which summarised constructs of acceptability triggered for specific actors in specified contexts. Examples of interventions that may be used to trigger acceptability for these actors were described.

resultsSeven CATs were developed for contexts with strong beliefs in religious values and with powerful religious leaders, a traditional desire for large families, stigmatisation of MCM use, male partners who are non-accepting of FP, and rumours or experiences of MCM side effects. Acceptability mechanisms included alignment with values and beliefs without requiring compromise, actors' certainty about their ability to avoid harm and make the intervention work, and understanding the intervention and how it works. Additionally, acceptability by one group of actors was found to alter the context, triggering acceptability mechanisms amongst others.

conclusionsThis study demonstrated the value of embedding realist approaches within implementation research. CATs are transferable theories that answer the question: given the context, what construct of acceptability does an intervention need to trigger, or more simply, what intervention do we need to apply here to achieve our outcomes? CATs facilitate transfer of interventions across geographies within defined contexts.

Indexed as

ContraceptionFamily Planning ServicesAfricaChildFocus GroupsHumansMaleContext-acceptability theoryFamily planningRealist evaluation

Identifiers

PMID33435959
PMCPMC7805098
OpenAlexW3119929866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.