Evidence map›Paper›PMID 41299337›Full record

ArticleBMC pregnancy and childbirth2025

Exploring potential opportunities and strategies of using the Labour Care Guide to improve labour monitoring and health outcomes among health care providers in Uganda: a qualitative study.

Mugyenyi R Godfrey, Esther C Atukunda, Wilson Tumuhimbise, Yarine F Farjardo, Josaphat Byamugisha

Abstract read
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Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Mugyenyi R GodfreyMbarara University of Science and Technology, Faculty of Medicine, Mbarara, Uganda. gmugyenyi@must.ac.ug.
Esther C AtukundaMbarara University of Science and Technology, Faculty of Medicine, Mbarara, Uganda.
Wilson TumuhimbiseMbarara University of Science and Technology, Department of Computing and Informatics, Mbarara, Uganda.
Yarine F FarjardoMbarara University of Science and Technology, Faculty of Medicine, Mbarara, Uganda.
Josaphat ByamugishaMakerere University College of Health Sciences, Kampala, Uganda.

Funding

Integration of a patient-centered mobile health intervention (Support-Moms) into routine antenatal care to improve maternal health in UgandaR01HD111692 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI Esther Cathyln Atukunda · 2023 to 2026
$1.9M
NICHD NIH HHS R01 HD111692
6 · The paper itself

Abstract

backgroundLabour monitoring tracks cervical dilation, contractions, and foetal heart rate to ensure safe childbirth. Prolonged labour is identified when progress exceeds expected timelines, shown on the partograph or Labour Care Guide (LCG). The LCG helps health care providers detect abnormal labour patterns early. This study explored how the LCG could enhance labour monitoring in Uganda, identifying strategies to improve maternal and foetal outcomes through timely assessments and interventions.

methodsBetween June and September 2023, qualitative interviews were held with Health Care Providers and Ministry of Health officials familiar with the Labour Care Guide. Conducted privately and digitally recorded, the interviews were transcribed and coded. Through iterative analysis, researchers identified multilevel factors influencing sustained engagement in labour monitoring and the uptake and implementation of the LCG.

resultsThe median age of the interviewed HCPs was 36 years(IQR,27-54). All participants demonstrated great enthusiasm, describing the LCG as a simple, easy-to-use and comprehensive tool that could quickly aid detection of prolonged labour for timely management, if modified appropriately. HCPs identified LCG's potential to facilitate sustained use through perceived ability to correctly define active labour at 5 cm of cervical dilatation, with major labour parameters recorded on one-A4-paper for easy comparison and reference. LCG facilitated HCP-patient-labour companion interaction for social support and would undergo customization to address user needs, enhance accountability and reduce over-documentation since the same single-page format could capture all the necessary details needed to make a one-stop quick and effective clinical decision. HCPs underscored the role and sustained benefits of off-site training, team building, guidelines accessibility, real-time feedback, peer mentorships and championships. LCG pitfalls included small fonts, observation ordering, missing record of social-demographic and key outcome data, plus fields/parameters deemed redundant/inappropriate.

conclusionOur data demonstrates a responsive, enthusiastic and supportive environment that has potential to facilitate LCG customization, uptake and scale up. The high LCG expectations are important considerations in developing sustainable and acceptable implementation strategies that meet user needs. More work is needed to refine and evaluate the tool's effectiveness in improving labour monitoring in Uganda.

Indexed as

Health PersonnelLabor, ObstetricObstetric Labor ComplicationsAdultFemaleHumansMiddle AgedPregnancyQualitative ResearchUgandaChildbirthLabour Care GuideLabour monitoring

Identifiers

PMID41299337
PMCPMC12659402

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Registered trials

None linked

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.