Evidence map›Paper›PMID 37120569›Full record

ReviewBMC pregnancy and childbirth2023

A tool to define and measure maternal healthcare acceptability at a selected health sub-district in South Africa.

Joy Blaise Bucyibaruta, Mmapheko Doriccah Peu, Lesley Bamford, Alfred Musekiwa

Abstract readReview
In one paragraph

Review in BMC pregnancy and childbirth, 2023. 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
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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

4 authors.

Joy Blaise BucyibarutaSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa. u19375370@tuks.co.za.
Mmapheko Doriccah PeuDepartment of Nursing Sciences, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Lesley BamfordSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Alfred MusekiwaSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many factors during pregnancy and labor that influence women's acceptability of maternal healthcare. Nevertheless, the concept of acceptability of maternal healthcare has unfortunately not been clearly defined and remains difficult to assess, affecting its implications and approaches from maternal health perspectives. In this study, we proposed a practical definition of maternal healthcare acceptability and developed a tool to measure maternal healthcare acceptability from patients' perspective at a selected health sub-district in South Africa.

methodsWe applied known techniques to develop measurement tools in health settings. The concept development drew from the literature review leading to the proposed definition of maternal healthcare acceptability which was then refined and validated by experts through Delphi technique. Other techniques included specification of concept constructs; selection of indicators; formation of indices; measurement tool/scale construction; and testing of reliability and validity. Factor analysis and simple arithmetic equation were performed on secondary and primary datasets respectively.

resultsExperts in the field reached a consensual definition of maternal healthcare acceptability. Factor analysis revealed three factors retained to predict maternal healthcare acceptability indices, namely provider, healthcare and community. Structural equation model showed good fit (CFI = 0.97), with good reliability and validity. Hypothesis testing confirmed that items and their corresponding factors were related (p < 0.01). Simple arithmetic equation was recommended as alternative method to measure acceptability when factor analysis was not applicable.

conclusionThis study provides new insights into defining and measuring acceptability of maternal healthcare with significant contributions on existing theories and practices on this topic and practical applications not only for maternal health but also across diverse health disciplines.

Indexed as

Maternal Health ServicesDelivery of Health CareFemaleHumansPatient Acceptance of Health CarePregnancyReproducibility of ResultsSouth AfricaAccess to healthcareCommunity supportDefinitionDelphi techniqueHealthcare stakeholdersHealthcare systemsMaternal healthcare acceptabilityMeasurement toolPublic healthSocial psychology

Identifiers

PMID37120569
PMCPMC10148523

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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.