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Internet-based behavioral activation—Treatment for postnatal depression (Netmums): A randomized controlled trial
Abstract
Background Despite the high prevalence of postnatal depression (PND), few women seek help. The internet may increase timely access to treatment. We report a randomized controlled trial of a minimal intervention internet Behavioral Activation (iBA) treatment modified to address postnatal specific concerns (Postnatal-iBA).Methods Women (n=910) recruited via a popular UK parenting site, Netmums.com, scoring above 12 on the Edinburgh Postnatal Depression Scale (EPDS) were randomly assigned to receive either Postnatal-iBA delivered or treatment-as-usual (TAU). We investigated the feasibility (recruitment, trial and treatment adherence) and effectiveness (depression status EPDS >12) of the intervention.Results Recruitment was excellent; 1261 women, 961 of whom met inclusion criteria, signed up to the trial within two 2-week recruitment periods. Thirty-eight percent (343/910) of women completed the 15-week outcome assessment. Of those who completed 15-week assessment, fewer exceeded the depression cutoff in the Postnatal-iBA group (n=66/181) compared to TAU (n=91/162). Assuming all non-respondents remained depressed, the Postnatal-iBA effect was reduced.Limitations The study suffered from high attrition and future trials need to consider strategies for improving outcome completion. Some women reported struggles "keeping up" with the treatment.Conclusions A minimal support, widely accessible internet Behavioral Activation program for PND is feasible to deliver to community populations when embedded within popular parenting sites. For women who provide outcome data, postnatal-iBA offers promise as an effective treatment for PND. The addition of support may reduce women's struggles to keep pace with the treatment.
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“Consistent with this, other studies have also reported substantial dropout rates between the first and the second module (O'Mahen et al., 2013).”
From PandaMom – Feasibility and acceptability of an internet- and mobile-based intervention to enhance peripartum mental well-being and to prevent postpartum depression (2024) · cites this paper as O'Mahen et al., 2013
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“for a further two studies the acceptance was unclear [53, 63]”
From Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review (2023) · cites this paper as [63]
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Metadata
- Authors
- O'Mahen, H. A., Woodford, J., McGinley, J., Warren, F. C., Richards, D. A., Lynch, T. R., & Taylor, R. S.
- Affiliations
- University of Exeter (GB)
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 150
- Issue
- 3
- Pages
- 814-822
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2082437209
- Cited by
- 202
- References
- 56
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 28 · 2023: 30 · 2022: 19 · 2021: 18 · 2020: 12 · 2019: 12 · 2018: 20 · 2017: 11 · 2016: 10 · 2015: 10 · 2014: 11 · 2013: 2
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Funders
- National Institute for Health and Care Research (NF-SI-0611-10203)
- Mashhad University of Medical Sciences
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- postpartum depression, online psychological intervention, parenting websites, medication adherence, attrition, Edinburgh Postnatal Depression Scale, maternal mental health
- MeSH terms
- Adult, Behavior Therapy, Female, Humans, Treatment Outcome, Depression, Postpartum, Internet
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