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Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis

IFUNANYA CHINWEUBA, Judy Jenkins

Oxford Open Digital Health

Swansea University Authors: IFUNANYA CHINWEUBA, Judy Jenkins

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DOI (Published version): 10.1093/oodh/oqae026

Abstract

Pregnant women and new mothers within one year after delivery are at a high risk of depression, yet many do not get the help they need due to wide reasons heralding stigma, access, cost, time, and shortage of human resources. Hence, compelling the exploration of alternate and potentially cost-effect...

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Published in: Oxford Open Digital Health
ISSN: 2754-4591
Published: Oxford University Press (OUP) 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa67359
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spelling v2 67359 2024-08-12 Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis 7898f316566608ee21d7f59b7bfbc3f5 IFUNANYA CHINWEUBA IFUNANYA CHINWEUBA true false d547919f7d389a3263887233a8d20989 Judy Jenkins Judy Jenkins true false 2024-08-12 Pregnant women and new mothers within one year after delivery are at a high risk of depression, yet many do not get the help they need due to wide reasons heralding stigma, access, cost, time, and shortage of human resources. Hence, compelling the exploration of alternate and potentially cost-effective means of delivering care, including the leverage of digital tools. This review aimed to evaluate the effectiveness of digital health interventions in reducing depressive symptoms among perinatal women. Literatures were sought from seven academic databases alongside the references of previous reviews. Included studies were all quantitative study types involving the use of digital health interventions for perinatal women not more than one-year post-delivery. Standardised mean difference and standard error were used to perform random-effect model meta-analysis. Sensitivity and subgroup analyses were performed to determine certainty and modifiers of the findings, respectively. Forty-eight studies were included in this review with twenty-eight studies used for meta-analyses. Numerous digital channels were identified; however, none specified the use of a digital health theory in its development. The digital health interventions showed a small positive significant effect over the controls (standardised mean difference = 0.29, p = 0.003, I2 = 34%), and this was significantly influenced by intervention delivery and facilitation modes, time of initiation of the intervention, and period covered by the intervention. While digital health interventions may hold some potential for perinatal depression, scaling the interventions may be challenging sequel to overlooked influences from the interactions within the human-computer-society complex. Journal Article Oxford Open Digital Health 0 Oxford University Press (OUP) 2754-4591 3 8 2024 2024-08-03 10.1093/oodh/oqae026 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-08-12T15:37:11.6850596 2024-08-12T15:34:11.9637535 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science IFUNANYA CHINWEUBA 1 Judy Jenkins 2
title Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
spellingShingle Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
IFUNANYA CHINWEUBA
Judy Jenkins
title_short Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
title_full Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
title_fullStr Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
title_full_unstemmed Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
title_sort Effectiveness of digital health interventions for perinatal depression: A systematic review and meta-analysis
author_id_str_mv 7898f316566608ee21d7f59b7bfbc3f5
d547919f7d389a3263887233a8d20989
author_id_fullname_str_mv 7898f316566608ee21d7f59b7bfbc3f5_***_IFUNANYA CHINWEUBA
d547919f7d389a3263887233a8d20989_***_Judy Jenkins
author IFUNANYA CHINWEUBA
Judy Jenkins
author2 IFUNANYA CHINWEUBA
Judy Jenkins
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publishDate 2024
institution Swansea University
issn 2754-4591
doi_str_mv 10.1093/oodh/oqae026
publisher Oxford University Press (OUP)
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
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description Pregnant women and new mothers within one year after delivery are at a high risk of depression, yet many do not get the help they need due to wide reasons heralding stigma, access, cost, time, and shortage of human resources. Hence, compelling the exploration of alternate and potentially cost-effective means of delivering care, including the leverage of digital tools. This review aimed to evaluate the effectiveness of digital health interventions in reducing depressive symptoms among perinatal women. Literatures were sought from seven academic databases alongside the references of previous reviews. Included studies were all quantitative study types involving the use of digital health interventions for perinatal women not more than one-year post-delivery. Standardised mean difference and standard error were used to perform random-effect model meta-analysis. Sensitivity and subgroup analyses were performed to determine certainty and modifiers of the findings, respectively. Forty-eight studies were included in this review with twenty-eight studies used for meta-analyses. Numerous digital channels were identified; however, none specified the use of a digital health theory in its development. The digital health interventions showed a small positive significant effect over the controls (standardised mean difference = 0.29, p = 0.003, I2 = 34%), and this was significantly influenced by intervention delivery and facilitation modes, time of initiation of the intervention, and period covered by the intervention. While digital health interventions may hold some potential for perinatal depression, scaling the interventions may be challenging sequel to overlooked influences from the interactions within the human-computer-society complex.
published_date 2024-08-03T15:37:15Z
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