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

IF 2.7 2区 医学 Q1 OBSTETRICS & GYNECOLOGY BMC Pregnancy and Childbirth Pub Date : 2025-02-13 DOI:10.1186/s12884-025-07286-9
Bekelu Teka Worku, Misra Abdulahi, Demissew Amenu, Bruno Bonnechère
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Abstract

Background: 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.

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技术支持的以正念为基础的干预措施对母亲抑郁症的影响:资源有限环境下实施视角的系统回顾和荟萃分析。
背景:孕产妇抑郁症是指妊娠期间(产前抑郁症(prenatal depression, PND))或分娩后(产后抑郁症(postpartum depression, PPD))发生的与妊娠和分娩相关的抑郁症。这是一个公认的全球公共卫生问题,对妇女的福祉和婴儿的发育进步产生了广泛的不利影响。正念干预(MBIs)已被证明是有效的产妇抑郁症。技术支持的MBI可能是孕产妇抑郁症的有效预防策略,特别是在缺乏重要资源限制获得标准护理的低收入和中等收入国家(LMICs)。然而,有限的现有研究评估技术支持的mbi对母亲抑郁症的影响可能不足以得出明确的结论。本系统综述旨在评估技术支持的mbi对母亲抑郁症的综合估计效果,确定现有的研究,并揭示mbi的适用卫生技术。方法:本研究按照PRISMA-P 2020进行,审查方案在PROSPERO注册;CRD42024537853。偏倚风险采用PEDro量表进行评估。结果:来自18篇文章的数据被纳入系统评价,其中没有一篇来自低收入国家(lic),代表2481名参与者,15项研究被纳入荟萃分析。综合效应量显示,技术支持的mbi对母亲抑郁有积极影响(SMD - 0.55, 95% CI [- 0.70;结论:建议将技术支持的mbi纳入孕产妇保健,以增强孕产妇心理健康。然而,缺乏中低收入国家的试验可能会限制这一发现的普遍性和外部有效性,因此在该领域进行进一步的研究以定制干预措施并最大化其有效性至关重要。具体情况的试验研究是项目成功采用的关键。
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来源期刊
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth OBSTETRICS & GYNECOLOGY-
CiteScore
4.90
自引率
6.50%
发文量
845
审稿时长
3-8 weeks
期刊介绍: BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.
期刊最新文献
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