SynthesisMidwifery2023
A mixed methods systematic review of midwives' clinical practices related to prenatal care of women with obesity.
Synthesis in Midwifery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Structural weight stigma in healthcare toward preconception, pregnant, and postpartum women: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Development of Thai-Specific Gestational Weight Gain Targets Using Asian BMI Cut-Points: Implications for Nursing and Midwifery Practice in Preventing Gestational Diabetes Mellitus.Nursing reports (Pavia, Italy) · 2026Article
- Opportunities and Challenges for Precision Nutrition in Gestational Obesity Management.Current obesity reports · 2026Review
- Fear of Childbirth Among Pregnant People Facing Anti-Fat Bias.International journal of environmental research and public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveMaternal obesity has been related to adverse maternal and infant outcomes. It is a persistent challenge of midwifery care worldwide and can present clinical challenges and complications. This review sought to identify evidence on the practice patterns of midwives related to prenatal care of women with obesity.
methodsThe databases Academic Search Premier, APA PsycInfo, CINAHL PLUS with Full Text, Health Source: Nursing/Academic Edition, and MEDLINE were searched November 2021. Search terms included weight, obesity, practices, and midwives. Inclusion criteria included quantitative, qualitative, and mixed method studies that addressed practice patterns of midwives related to prenatal care of women with obesity published in peer-reviewed journals, written in English. The recommended Joanna Briggs Institute approach to mixed methods systematic reviews was followed e.g. study selection, critical appraisal, data extraction, and a convergent segregated method of data synthesis and integration.
resultsSeventeen articles from 16 studies were included. The quantitative evidence showed a lack of knowledge, confidence, and support for midwives that would facilitate adequate management of pregnant women with obesity while the qualitative evidence revealed that midwives desire a sensitive approach to discussing obesity and the risks associated with maternal obesity. DISCUSSION: Quantitative and qualitative literature report consistent individual and system-level barriers to implementing evidence-based practices. Implicit bias training, midwifery curriculum updates, and the use of patient centered care models may help overcome these challenges.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.