Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45394
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dc.contributor.authorWORKU, Bekelu Teka-
dc.contributor.authorAbdulahi, Misra-
dc.contributor.authorAmenu, Demissew-
dc.contributor.authorBONNECHERE, Bruno-
dc.date.accessioned2025-02-25T10:16:16Z-
dc.date.available2025-02-25T10:16:16Z-
dc.date.issued2025-
dc.date.submitted2025-02-24T16:12:59Z-
dc.identifier.citationBMC Pregnancy and Childbirth, 25 (1) (Art N° 155)-
dc.identifier.urihttp://hdl.handle.net/1942/45394-
dc.description.abstractBackground Maternal 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. Method This 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. Result Data 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). Conclusion Integrating 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.-
dc.description.sponsorshipJimma University-
dc.language.isoen-
dc.publisherBMC-
dc.rightsThe Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creati vecommons.org/licenses/by-nc-nd/4.0/.-
dc.subject.otherMaternal depression-
dc.subject.otherMeta-analysis-
dc.subject.otherMindfulness-based interventions-
dc.subject.otherPerinatal depression-
dc.subject.otherPrenatal depression-
dc.subject.otherPostpartum depression-
dc.subject.otherSystematic review-
dc.subject.otherTechnology-
dc.titleEffect of technology-supported mindfulness-based interventions for maternal depression: a systematic review and meta-analysis with implementation perspectives for resource-limited settings-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume25-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notesWorku, BT (corresponding author), Jimma Univ, Fac Publ Hlth, Dept Populat & Family Hlth, Jimma, Ethiopia.; Worku, BT (corresponding author), Hasselt Univ, Fac Rehabil Sci, REVAL Rehabil Res Ctr, Diepenbeek, Belgium.-
dc.description.notesbekelu.teka@ju.edu.et; misra.abdulahi@ju.edu.et; demisame5@gmail.com;-
dc.description.notesbruno.bonnechere@uhasselt.be-
local.publisher.placeCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr155-
dc.identifier.doi10.1186/s12884-025-07286-9-
dc.identifier.pmid39948517-
dc.identifier.isiWOS:001421586800003-
local.provider.typewosris-
local.description.affiliation[Worku, Bekelu Teka; Abdulahi, Misra] Jimma Univ, Fac Publ Hlth, Dept Populat & Family Hlth, Jimma, Ethiopia.-
local.description.affiliation[Worku, Bekelu Teka; Bonnechere, Bruno] Hasselt Univ, Fac Rehabil Sci, REVAL Rehabil Res Ctr, Diepenbeek, Belgium.-
local.description.affiliation[Amenu, Demissew] Jimma Univ, Fac Med Sci, Dept Obstet & Gynaecol, Jimma, Ethiopia.-
local.description.affiliation[Bonnechere, Bruno] Hasselt Univ, Data Sci Inst, Technol Supported & Data Driven Rehabil, Diepenbeek, Belgium.-
local.description.affiliation[Bonnechere, Bruno] PXL Univ Appl Sci & Arts, Dept PXL Healthcare, Hasselt, Belgium.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.fullcitationWORKU, Bekelu Teka; Abdulahi, Misra; Amenu, Demissew & BONNECHERE, Bruno (2025) Effect of technology-supported mindfulness-based interventions for maternal depression: a systematic review and meta-analysis with implementation perspectives for resource-limited settings. In: BMC Pregnancy and Childbirth, 25 (1) (Art N° 155).-
item.contributorWORKU, Bekelu Teka-
item.contributorAbdulahi, Misra-
item.contributorAmenu, Demissew-
item.contributorBONNECHERE, Bruno-
item.accessRightsOpen Access-
crisitem.journal.eissn1471-2393-
Appears in Collections:Research publications
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