Evidence map›Paper›PMID 39948517›Full record

SynthesisBMC pregnancy and childbirth2025

Effect of technology-supported mindfulness-based interventions for maternal depression: a systematic review and meta-analysis with implementation perspectives for resource-limited settings.

Bekelu Teka Worku, Misra Abdulahi, Demissew Amenu, Bruno Bonnechère

Registry-linked trialAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07151781 (Technology Supported Mindfulness for Prenatal Depression and Mental Health-related Quality of Life), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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.

NCT07151781 nanot yet recruitingnot on this map

Technology Supported Mindfulness for Prenatal Depression and Mental Health-related Quality of Life: Research Protocol for Randomized Controlled Trial in a Resource-Limited Environment

TypeinterventionalSponsorBekelu Teka WorkuRan2025 to 2025Enrolled120ConditionsPrenatal Depression, Mental Health Related Quality of Life, Maternal Postpartum Depression, Paternal Postpartum DepressionArmsVideo-guided Mindfulness Exercise
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Bekelu Teka WorkuDepartment of Population and Family Health, Faculty of Public Health, Jimma University, Jimma, Ethiopia. bekelu.teka@ju.edu.et.
Misra AbdulahiDepartment of Population and Family Health, Faculty of Public Health, Jimma University, Jimma, Ethiopia.
Demissew AmenuDepartment of Obstetrics and Gynaecology, Faculty of Medical Science, Jimma University, Jimma, Ethiopia.
Bruno BonnechèreREVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal depression is pregnancy and childbirth-related depression during pregnancy (prenatal depression (PND)) or after delivery (postpartum depression (PPD)). It is a recognized global public health concern with extensive repercussions adversely affecting women's well-being and the developmental progress of infants. Mindfulness-based interventions (MBIs) have been shown to be effective in maternal depression. Technology-supported MBI could be an effective preventive strategy for maternal depression, especially in low- and middle-income countries (LMICs) where lack of important resources limits the accessibility to standard care. However, the limited available studies assessing the effect of technology-supported MBIs for maternal depression might be insufficient to reach a definitive conclusion. This systematic review aimed to evaluate the pooled estimated effect of technology-supported MBIs for maternal depression, identify available studies, and reveal applicable health technologies with MBIs.

methodThis study was conducted according to the PRISMA-P 2020 and the review protocol was registered in PROSPERO; CRD42024537853. The risk of bias was evaluated using the PEDro scale. The meta-analysis was done with R.

resultData from 18 articles, none from low-income countries (LICs), were included in the systematic review, representing 2,481 participants, 15 studies were included in the meta-analysis. The pooled effect size indicated that technology-supported MBIs had a positive effect on maternal depression (SMD - 0.55, 95% CI [- 0.70; -0.40], p < 0.001). The sub-group analysis showed that this intervention was effective in both PND (SMD = - 0.57, 95% CI [- 0.74; -0.39], p < 0.001) and PPD (SMD - 0.53, 95% CI [- 0.91; -0.15], p = 0.014).

conclusionIntegrating technology-supported MBIs into maternal care is recommended to enhance maternal mental health. However, the lack of trials in LMICs may limit the generalizability and external validity of this finding and it is crucial to conduct further research, in the area to tailor intervention and maximize its effectiveness. Context-specific trial studies are pivotal for successful program adoption.

Indexed as

DepressionDepression, PostpartumMindfulnessPregnancy ComplicationsDeveloping CountriesFemaleHumansPregnancyResource-Limited SettingsMaternal depressionMeta-analysisMindfulness-based interventionsPerinatal depressionPostpartum depressionPrenatal depressionSystematic reviewTechnology

Identifiers

PMID39948517
PMCPMC11827207

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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.