Evidence map›Paper›PMID 41100814›Full record

Trial reportJournal of medical Internet research2025

Testing the ELSA Birth App During Pregnancy and Labor for Primiparous Women: Randomized Controlled Trial.

Karin Ängeby, Margareta Johansson, Elin Børøsund, Cecilie Varsi, Leonardo Horn Iwaya, Anna Nordin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Karin ÄngebyDepartment of Health Science, Faculty of Health, Science, and Technology, Karlstad University, Universitetsgatan 2, Karlstad, 65188, Sweden, 46 703579767.ORCID http://orcid.org/0000-0001-7729-7912
Margareta JohanssonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0766-9957
Elin BørøsundDepartment of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-3897-7055
Cecilie VarsiFaculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway.ORCID http://orcid.org/0000-0001-5257-7993
Leonardo Horn IwayaDepartment of Mathematics and Computer Science, Faculty of Health, Science, and Technology, Karlstad University, Karlstad, Sweden.ORCID http://orcid.org/0000-0001-9005-0543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early labor is often managed at home without professional support. The Birth App (Birth by Heart) is an app designed to support women during early labor. A pilot study revealed that women found the app's exercises simple, understandable, and practical. The app was perceived as useful and appreciated by women, although areas for improvement were identified, primarily related to technical issues. After the development and test period, the updated app was tested in a randomized controlled trial. Objective: This study aims to investigate whether women using the Birth App during pregnancy and childbirth experience less distress during early labor compared to those receiving standard antenatal care. Methods: We used online recruiting in a nonblinded 3-part blended care model with 1:1:1 randomization: group 1 (Birth App intervention); group 2 (Birth App Plus, combining the app with in-person additional midwifery contacts); and group 3 (control group receiving standard antenatal care). Pregnant nulliparous women were invited via social media. Eligibility criteria were nulliparity, planning a vaginal birth, from gestational week 25+0 to 35+6 weeks, proficiency in understanding Swedish, and having access to a smartphone or tablet. Data were analyzed with descriptive statistics, chi-square tests, and ANOVA. Results: A total of 391 women completed the baseline questionnaire and were included in the study (group 1, n=118; group 2, n=114; group 3, n=118). Of these, 335 women responded to the questionnaire 1 month postpartum, yielding a response rate of 85.6%. Most participants experienced a spontaneous onset of labor (group 1: 67/103, 65%; group 2: 81/114, 71%; and group 3: control group, 86/118, 73%), with no statistically significant differences between groups. During early labor, women in group 1 remained at home for a mean of 16.76 (SD 20.45) hours, group 2 for a mean of 14.47 (SD 16.82) hours, and the control group for a mean of 12.90 (SD 15.99) hours (P=.32). For the primary and secondary outcomes, only women with spontaneous onset of labor (n=234) were included in the analysis. The primary outcome, emotional distress, showed similar mean values across all groups. No statistically significant differences were identified in the secondary outcomes: childbirth experience, pain relief, and support from the partner. However, for the secondary outcome fear of future birth, a pairwise testing from baseline to follow-up revealed a statistically significant mean difference for the intervention groups (group 1: mean 13.53, 95% CI 5.12-21.92, P=.002; group 2: mean 14.59, 95% CI 7.75-21.42, P<.001) with a medium effect size (Cohen d=.40 vs d=.47). For group 3, the mean was 6.78 (95% CI -.95 to 14.53; P=.08). Conclusions: The Birth App, in conjunction with additional midwifery support, can be a valuable tool for pregnant women and their partners during pregnancy and childbirth. The observed reduction in fear of forthcoming childbirth associated with the Birth App warrants further investigation.

Indexed as

Labor, ObstetricMobile ApplicationsAdultFemaleHumansParityPregnancyPrenatal Careantenatal educationchildbirth experienceearly laboremotional distressfear of childbirthmHealthmidwifery supportmobile appmobile healthrandomized controlled trial

Identifiers

PMID41100814
PMCPMC12530693

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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.