ArticleBMC primary care2025
'One size does not fit all': a qualitative study of women's experiences of a self-guided digital intervention, Mamma Mia.
Article in BMC primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
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Abstract
backgroundThe transition to parenthood represents a period with a risk of developing depressive symptoms. Mamma Mia is a universal, self-guided internet-based intervention effective in reducing depressive symptoms and promoting well-being and has the potential to support the transition to motherhood. We aimed to explore how women with elevated depressive symptoms experienced Mamma Mia. The following research questions were addressed: (a) how do women with elevated depressive symptoms experience Mamma Mia, and (b) how can the intervention be improved?
methodsA descriptive qualitative study was conducted in Norway. Semi-structured interviews based on the SWOT form (Strengths, Weaknesses, Opportunities, and Threats) were conducted with twelve women with depressive symptoms. The data were analyzed via the framework method.
resultsFive overall themes were identified: ‘Usability’, ‘Activities and Learning', ‘One Size Does Not Fit All’, ‘Awareness and Reassurance’, and ‘Seek More Information, Care, and Support’.
conclusionThe intervention is beneficial, but women with depressive symptoms expressed a need for additional person-centered support in primary care. These findings can guide health personnel in primary and mental health care, in recommending interventions, tailoring support to women in the transition to motherhood, and facilitating help-seeking when additional follow-up is needed.
trial registrationThe Regional Ethics Committee, Norway, approved the protocol as part of the RCT (project number 2012/1716). ISRCTN: RCT no. ISRCTN91808706.
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