Bibliographic Details
| Title: |
Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review |
| Authors: |
Catherine Jones, Yi Cui, Ruth Jeminiwa, Elina Bajracharya, Katie Chang, Tony Ma |
| Source: |
JMIR Diabetes, Vol 9, Pp e58327-e58327 (2024) |
| Publisher Information: |
JMIR Publications, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Diseases of the endocrine glands. Clinical endocrinology |
| Subject Terms: |
Diseases of the endocrine glands. Clinical endocrinology, RC648-665 |
| More Details: |
Abstract BackgroundGestational diabetes mellitus (GDM) is an increasingly common high-risk pregnancy condition requiring intensive daily self-management, placing the burden of care directly on the patient. Understanding personal and cultural differences among patients is critical for delivering optimal support for GDM self-management, particularly in high-risk populations. Although mobile apps for GDM self-management are being used, limited research has been done on the personalized and culturally tailored features of these apps and their impact on patient self-management. ObjectiveThis scoping review aims to explore the extent to which published studies report the integration and effectiveness of personalized and culturally tailored features in GDM mobile apps for patient self-management support. MethodsWe examined English-language peer-reviewed articles published between October 2016 and May 2023 from PubMed, CINAHL, PsycINFO, ClinicalTrials.gov, Proquest Research Library, and Google Scholar using search terms related to digital tools, diabetes, pregnancy, and cultural tailoring. We reviewed eligible articles and extracted data using the Arskey and O’Malley methodological framework. ResultsOur search yielded a total of 1772 articles after the removal of duplicates and 158 articles for full-text review. A total of 21 articles that researched 15 GDM mobile apps were selected for data extraction. Our results demonstrated the stark contrast between the number of GDM mobile apps with personalized features for the individual user (all 15 mobile apps) and those culturally tailored for a specific population (only 3 of the 15 mobile apps). Our findings showed that GDM mobile apps with personalized and culturally tailored features were perceived to be useful to patients and had the potential to improve patients’ adherence to glycemic control and nutrition plans. ConclusionsThere is a strong need for increased research and development to foster the implementation of personalized and culturally tailored features in GDM mobile apps for self-management that cater to patients from diverse backgrounds and ethnicities. Personalized and culturally tailored features have the potential to serve the unique needs of patients more efficiently and effectively than generic features alone; however, the impacts of such features still need to be adequately studied. Recommendations for future research include examining the cultural needs of different ethnicities within the increasingly diverse US population in the context of GDM self-management, conducting participatory-based research with these groups, and designing human-centered mobile health solutions for both patients and providers. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2371-4379 |
| Relation: |
https://diabetes.jmir.org/2024/1/e58327; https://doaj.org/toc/2371-4379 |
| DOI: |
10.2196/58327 |
| Access URL: |
https://doaj.org/article/def462438c1147c9b5063e0ba1bd4fd6 |
| Accession Number: |
edsdoj.f462438c1147c9b5063e0ba1bd4fd6 |
| Database: |
Directory of Open Access Journals |
