Evidence map›Paper›PMID 42528784›Full record

ArticleFrontiers in global women's health2026

Evaluating childbirth options for women with obesity: a multi-criteria decision analysis.

Carmen Wyss, Judit Lienert, Evelyne M Aubry

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Carmen WyssApplied Research and Development, Division of Midwifery, Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.
Judit LienertDecision Analysis Group, Department of Environmental Social Sciences, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Duebendorf, Switzerland.
Evelyne M AubryApplied Research and Development, Division of Midwifery, Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childbirth in women with obesity (body mass index ≥30 kg/m Methods: We employed multi-criteria decision analysis (MCDA) using multi-attribute value theory (MAVT). The study population included women with obesity and term, singleton, cephalic pregnancies without compelling indications for cesarean birth. Options encompassed vaginal birth and intrapartum cesarean birth, each with either standard hospital care or continuous midwifery care, and prelabor cesarean birth. Stakeholder-informed goals related to biomedical safety, physiological processes, psychosocial care experience, physical strain for care providers, care setting resource use, and direct healthcare costs. Scenarios accounted for cesarean birth history and maternal comorbidities. We estimated the goal performance of the options using Swiss hospital inpatient data from 22,464 childbirths among women with obesity and assessments from experienced experts. To illustrate how stakeholder preferences may influence person-centered decision-making, we considered four hypothetical extreme and three real preference profiles. All data were aggregated into the options' overall values using a non-additive MAVT model. Sensitivity analyses addressed preference uncertainty. Direct healthcare costs were mapped onto the aggregated value of all other goals in cost-benefit visualizations. Results: Vaginal birth with standard hospital care or continuous midwifery care achieved similar or higher overall values compared to cesarean birth across a wide range of preference profiles. Prelabor and intrapartum cesarean birth generally achieved lower or comparable overall values, with greater variability depending on stakeholder preferences. Cost-benefit visualizations showed that vaginal birth provided good value at the lowest costs. Findings were largely consistent across obstetric scenarios. Conclusion: This study highlights the importance of integrating multidimensional goals and stakeholder preferences into decision-making on childbirth options, alongside empirical data. In doing so, vaginal birth with either model of care performed well across the considered scenarios and preference profiles, though the findings should not be interpreted as prescriptive. This MCDA approach offers a novel framework to support evidence-based and person-centered decision-making deliberations on high-quality childbirth care for women with obesity.

Indexed as

cesarean birthchildbirth carematernal obesitymidwifery continuity of caremulti-criteria decision analysis (MCDA)quality of carestakeholder preferencesvaginal birth

Identifiers

PMID42528784
PMCPMC13415362

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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.