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Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study
Uppsala University, WoMHeR (Centre for Women’s Mental Health during the Reproductive Lifespan). Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Psychiatry. (Psychiatry)ORCID iD: 0000-0002-7349-8765
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Psychiatry.ORCID iD: 0009-0007-8449-3648
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health, Obstetrics and Reproductive Health Research.ORCID iD: 0000-0001-9693-0752
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Psychiatry.ORCID iD: 0000-0002-8692-3652
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2024 (English)In: JMIR Formative Research, E-ISSN 2561-326X, Vol. 8, article id e53508Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Perinatal depression affects a significant number of women during pregnancy and after birth, and early identification is imperative for timely interventions and improved prognosis. Mobile apps offer the potential to overcome barriers to health care provision and facilitate clinical research. However, little is known about users' perceptions and acceptability of these apps, particularly digital phenotyping and ecological momentary assessment apps, a relatively novel category of apps and approach to data collection. Understanding user's concerns and the challenges they experience using the app will facilitate adoption and continued engagement.

OBJECTIVE: This qualitative study explores the experiences and attitudes of users of the Mom2B mobile health (mHealth) research app (Uppsala University) during the perinatal period. In particular, we aimed to determine the acceptability of the app and any concerns about providing data through a mobile app.

METHODS: Semistructured focus group interviews were conducted digitally in Swedish with 13 groups and a total of 41 participants. Participants had been active users of the Mom2B app for at least 6 weeks and included pregnant and postpartum women, both with and without depression symptomatology apparent in their last screening test. Interviews were recorded, transcribed verbatim, translated to English, and evaluated using inductive thematic analysis.

RESULTS: Four themes were elicited: acceptability of sharing data, motivators and incentives, barriers to task completion, and user experience. Participants also gave suggestions for the improvement of features and user experience.

CONCLUSIONS: The study findings suggest that app-based digital phenotyping is a feasible and acceptable method of conducting research and health care delivery among perinatal women. The Mom2B app was perceived as an efficient and practical tool that facilitates engagement in research as well as allows users to monitor their well-being and receive general and personalized information related to the perinatal period. However, this study also highlights the importance of trustworthiness, accessibility, and prompt technical issue resolution in the development of future research apps in cooperation with end users. The study contributes to the growing body of literature on the usability and acceptability of mobile apps for research and ecological momentary assessment and underscores the need for continued research in this area.

Place, publisher, year, edition, pages
JMIR Publications, 2024. Vol. 8, article id e53508
Keywords [en]
acceptability, app, behavioral data, clinical research, depression, depressive symptoms, digital phenotyping, interview, mHealth, mobile app, mobile health, mobile phone, monitor, perinatal, perinatal depression, postpartum, pregnant, qualitative, qualitative study, smartphone app, thematic analysis, usability, user, user experience, users, well-being, women
National Category
Science and Technology Studies Gynaecology, Obstetrics and Reproductive Medicine
Identifiers
URN: urn:nbn:se:uu:diva-554627DOI: 10.2196/53508PubMedID: 39115893Scopus ID: 2-s2.0-85202686190OAI: oai:DiVA.org:uu-554627DiVA, id: diva2:1952206
Part of project
Predicting postpartum depression with the Mom2B app: a large-scale Swedish study using artificial intelligence to improve mothers´ mental health, Swedish Research Council
Funder
Region UppsalaSwedish Association of Local Authorities and RegionsSwedish Research Council, 2020-01965The Swedish Brain FoundationThe Swedish Medical AssociationStiftelsen Söderström - Königska sjukhemmet, SLS-940670Uppsala UniversityAvailable from: 2025-04-14 Created: 2025-04-14 Last updated: 2025-04-15Bibliographically approved
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Bilal, Ayesha-MaePagoni, KonstantinaIliadis, Stavros I.Papadopoulos, Fotios C.Skalkidou, AlkistisÖster, Caisa
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