ArticleJournal of medical Internet research2023
Perinatal Women's Perspectives of, and Engagement in, Digital Emotional Well-Being Training: Mixed Methods Study.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- "Stop, pause and take a break": a mixed methods study of the longer-term outcomes of digital emotional wellbeing training for perinatal women.BMC pregnancy and childbirth · 2024Trial
- Time-out for well-being: A mixed methods evaluation of attitudes and likelihood to engage in different types of online emotional well-being programmes in the perinatal period.Women's health (London, England)Trial
- Virtual reality for the treatment of perinatal mental health: a rapid scoping review.BMJ open · 2025Article
- Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Perceptions of the Mamma Mia program, an internet-based prevention strategy for perinatal depression symptoms.PLOS mental health · 2025Article
- Cohort Profile: The ORIGINS pregnancy and birth cohort.International journal of epidemiology · 2024Article
- PandaMom - Feasibility and acceptability of an internet- and mobile-based intervention to enhance peripartum mental well-being and to prevent postpartum depression.Internet interventions · 2024Article
- Data resource profile: the ORIGINS project databank: a collaborative data resource for investigating the developmental origins of health and disease.International journal of population data science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsychological distress in the early postpartum period can have long-lasting deleterious effects on a mother's well-being and negatively affect her infant's development. Intervention approaches based in contemplative practices such as mindfulness and loving-kindness and compassion are intended to alleviate distress and cultivate well-being and can be delivered effectively as digital mental health interventions (DMHIs).
objectiveTo understand the feasibility of engaging perinatal women in digital interventions, this study aimed to document participants' experiences in the Mums Minds Matter (MMM) study, a pilot randomized controlled trial comparing mindfulness, loving-kindness and compassion, and progressive muscle relaxation training delivered in a digital format and undertaken during pregnancy. To assess the different stages of engagement during and after the intervention, we adapted the connect, attend, participate, enact (CAPE) framework that is based on the idea that individuals go through different stages of engagement before they are able to enact change.
methodsThe MMM study was nested within a longitudinal birth cohort, The ORIGINS Project. We aimed to recruit 25 participants per randomization arm. Data were collected sequentially during the intervention through regular web-based surveys over 8 weeks, with opportunities to provide regular feedback. In the postintervention phase, qualitative data were collected through purposive sampling.
resultsOf 310 eligible women, 84 (27.1% [connect rate]) enrolled to participate in MMM. Of the remaining 226 women who did not proceed to randomization, 223 (98.7%) failed to complete the baseline surveys and timed out of eligibility (after 30 weeks' gestation), and 3 (1.3%) displayed high psychological distress scores. Across all program groups, 17 (20% [attend rate]) of the 84 participants actively opted out, although more may have disengaged from the intervention but did not withdraw. The main reasons for withdrawal were busy life and other priorities. In this study, we assessed active engagement and ongoing skills use (participate and enact) through postintervention interviews. We undertook 15 participant interviews, conducted 1 month to 3 months after the intervention. Our results provide insights into participant barriers and enablers as well as app changes, such as the ability to choose topics, daily reminders, case studies, and diversity in sounds. Implementing a DMHI that is brief, includes frequent prompts or nudges, and is easily accessible is a key strategy to target perinatal women.
conclusionsOur research will enable future app designs that are sufficiently nuanced to maximize the uptake, engagement, and application of mental health skills and contemplative practices in the perinatal period. Providing convenient access to engaging and effective prevention programs is critical and should be part of prenatal self-care. Our research underscores the appeal and feasibility of digital intervention approaches based in contemplative practices for perinatal women.
trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR) 12620000672954p; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12620000672954p. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/19803.
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.