Evidence map›Paper›PMID 40652192›Full record

SynthesisBMC pregnancy and childbirth2025

Evaluating acceptability and experiences of pregnant women at high risk of developing gestational diabetes who take part in antenatal intervention trials: a qualitative systematic review.

Gözde Sultan Çakır, Manar Abduljalil Bakhsh, Ola F Quotah, Olivia Righton, Catherine V George, Lucilla Poston, Sara L White, Angela C Flynn, Zoë Bell

Abstract readSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Gözde Sultan ÇakırDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
Manar Abduljalil BakhshDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
Ola F QuotahDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
Olivia RightonDepartment of Nutritional Sciences, School of Life Course & Population Sciences, King's College London, London, UK.
Catherine V GeorgeSchool of Population Health, Royal College of Surgeons in Ireland, Dublin, Ireland.
Lucilla PostonDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
Sara L WhiteDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
Angela C FlynnDepartment of Nutritional Sciences, School of Life Course & Population Sciences, King's College London, London, UK.
Zoë BellDepartment of Nutritional Sciences, School of Life Course & Population Sciences, King's College London, London, UK. zoe.bell@kcl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is associated with short- and longer-term adverse outcomes for both mother and child. The success of randomised controlled trials (RCTs) assessing interventions to prevent GDM depends in part on participant adherence to and acceptability of the intervention. A review of the nested-qualitative components of antenatal RCTs to prevent GDM is lacking. This qualitative systematic review aimed to evaluate the experiences of pregnant women at higher risk of developing GDM who took part in preconception and/or pregnancy interventions which aimed to reduce GDM.

methodsElectronic databases (MEDLINE, EMBASE, Cochrane Library), and reference and citation lists were searched up to February 2025. Studies were eligible if they included qualitative research methods to examine the experiences of pregnant women following an intervention to reduce GDM. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, and the Critical Appraisal Skills Programme (CASP) qualitative checklist was used to assess the quality of the studies.

resultsOf the 38,812 studies initially identified, 102 trials were screened for eligibility, and four met the inclusion criteria and were included. All were pilot RCTs using semi-structured interviews in high-income countries (UK n = 3, USA n = 1). Data were synthesised into three themes: (1) acceptability of the interventions, (2) adherence to the interventions, and (3) perceived change in knowledge, attitude and behaviour. Acceptability of interventions was influenced by awareness of GDM, extra support and antenatal care, and natural pharmacological supplements. Adherence to interventions was facilitated by the intervention content and delivery. Perceived change in knowledge, attitude and behaviour was facilitated by intervention specific components and perceived improvements in health. DISCUSSION: This review identified factors influencing adherence and acceptability of interventions for pregnant women at high risk of GDM. It also highlighted a lack of embedded qualitative studies exploring women's experiences of participating in antenatal interventions. The findings suggest that improving the design and implementation of pregnancy interventions requires greater attention to participants' experiences and support systems. This study highlights the need for nested qualitative studies in RCTs to improve acceptability and adherence to pregnancy interventions.

Indexed as

Diabetes, GestationalPatient Acceptance of Health CarePregnant PeoplePrenatal CareAdultFemaleHumansPregnancyQualitative ResearchRandomized Controlled Trials as TopicAcceptabilityExperienceGestational diabetesInterventionPregnancyRandomised controlled trials

Identifiers

PMID40652192
PMCPMC12255016

What OpenQuestion holds

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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.