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Personalization and localization as key expectations of digital health intervention in women pre- to post-pregnancy

Authors :
V Vien Lee
Smrithi Vijayakumar
Wei Ying Ng
Ni Yin Lau
Qiao Ying Leong
Delicia Shu Qin Ooi
Lin Lin Su
Yung Seng Lee
Shiao-Yng Chan
Agata Blasiak
Dean Ho
Source :
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract Health behaviors before, during and after pregnancy can have lasting effects on maternal and infant health outcomes. Although digital health interventions (DHIs) have potential as a pertinent avenue to deliver mechanisms for a healthy behavior change, its success is reliant on addressing the user needs. Accordingly, the current study aimed to understand DHI needs and expectations of women before, during and after pregnancy to inform and optimize future DHI developments. Forty-four women (13 pre-, 16 during and 15 postpregnancy; age range = 21–40 years) completed a 60-minute, semistructured, qualitative interview exploring participant’s experience in their current phase, experience with digital health tools, and their needs and expectations of DHIs. Interviews were audio-recorded, transcribed verbatim and thematically analyzed. From the interviews, two core concepts emerged—personalization and localization of DHI. Between both concepts, five themes and nine subthemes were identified. Themes and subthemes within personalization cover ideas of two-way interactivity, journey organization based on phases and circumstances, and privacy trade-off. Themes and subthemes within localization cover ideas of access to local health-related resources and information, and connecting to local communities through anecdotal stories. Here we report, through understanding user needs and expectations, the key elements for the development and optimization of a successful DHI for women before, during and after pregnancy. To potentially empower downstream DHI implementation and adoption, these insights can serve as a foundation in the initial innovation process for DHI developers and be further built upon through a continued co-design process.

Details

Language :
English
ISSN :
23986352
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Digital Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1782cb21b5ee48e7820ca9fdd0aea80c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41746-023-00924-6