Literature DB >> 26982017

Exploring the Challenges and Opportunities of Health Mobile Apps for Individuals with Type 2 Diabetes Living in Rural Communities.

Wei Peng1, Shupei Yuan2, Bree E Holtz2.   

Abstract

BACKGROUND: Many adults with type 2 diabetes (T2D), living in rural communities, are not optimally managing the disease through their diet and physical activities. Mobile apps have the potential to facilitate self-management activities, such as providing educational content, assisting with problem solving, and self-regulation. The goal of this study was to understand the perceived barriers, benefits, and facilitators among rural adults with T2D regarding the use of free mobile apps available in Apple App store or Google Play store for diabetes management or behavior monitoring.
MATERIALS AND METHODS: Four focus groups were conducted with 18 participants with T2D who owned a smartphone (age: M = 54.4, SD = 12.7; 27.8% male). The participants were asked about their general app and health-specific app usage. They were then shown features of four apps related to diabetes self-management (Glucose Buddy, mySugr, MyFitnessPal, and MapMyWalk) and prompted to provide feedback. The focus groups were audio recorded, transcribed verbatim, and coded using inductive thematic analysis.
RESULTS: Four themes were identified as follows: (1) perceived barriers to use or continuous use, (2) perceived benefits of desired features of diabetes self-management, (3) facilitators to motivate use, and (4) information sharing with family, friends, and health professionals.
CONCLUSIONS: The findings provide initial user perceptions regarding the feasibility and acceptability of mobile apps for T2D self-management. These findings regarding perceived barriers, benefits, and facilitators can guide the development and design of apps for individuals with T2D and help researchers determine best practices when developing apps for other chronic conditions.

Entities:  

Keywords:  chronic disease self-management; health mobile apps; m-health; qualitative research; rural community; technology adoption; telemedicine; type 2 diabetes

Mesh:

Year:  2016        PMID: 26982017     DOI: 10.1089/tmj.2015.0180

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  28 in total

1.  Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

Authors:  Gabrielle M Turner-McGrievy; Caroline Glagola Dunn; Sara Wilcox; Alycia K Boutté; Brent Hutto; Adam Hoover; Eric Muth
Journal:  J Acad Nutr Diet       Date:  2019-05-30       Impact factor: 4.910

2.  PATIENTS' AND PHYSICIANS' PERSPECTIVES ABOUT USING HEALTH INFORMATION TECHNOLOGY IN DIABETES MANAGEMENT IN IRAN: A QUALITATIVE STUDY.

Authors:  Zari Dehnavi; Haleh Ayatollahi; Morteza Hemmat; Rowshanak Abbasi
Journal:  Perspect Health Inf Manag       Date:  2021-10-01

Review 3.  mHealth impact on secondary stroke prevention: a scoping review of randomized controlled trials among stroke survivors between 2010-2020.

Authors:  Amelia K Adcock; Treah Haggerty; Anna Crawford; Cristal Espinosa
Journal:  Mhealth       Date:  2022-04-20

4.  Rationale and development of a randomized pragmatic trial to improve diabetes outcomes in patient-centered medical homes serving rural patients.

Authors:  Kristie B Hadden; Connie L Arnold; Laura M Curtis; Jennifer M Gan; Scott I Hur; Mary J Kwasny; Jean C McSweeney; Latrina Y Prince; Michael S Wolf; Terry C Davis
Journal:  Contemp Clin Trials       Date:  2018-09-20       Impact factor: 2.226

5.  Characteristics of mobile phone access and usage in rural and urban Guatemala: assessing feasibility of text message reminders to increase childhood immunizations.

Authors:  Gretchen J Domek; Ingrid L Contreras-Roldan; Edwin J Asturias; Michael Bronsert; Guillermo Antonio Bolaños Ventura; Sean T O'Leary; Allison Kempe; Sheana Bull
Journal:  Mhealth       Date:  2018-04-17

6.  Testing mHealth solutions at the last mile: insights from a study of technology-assisted community health referrals in rural Kenya.

Authors:  Andrew Karlyn; Stephen Odindo; Rohin Onyango; Caroline Mbindyo; Tabitha Mberi; Gideon Too; Joseph Dalley; Isaac Holeman; Beatrice Wasunna
Journal:  Mhealth       Date:  2020-10-05

7.  Managing Diabetes Using Mobiab: Long-Term Case Study of the Impact of a Mobile App on Self-management.

Authors:  Václav Burda; Miloš Mráz; Jakub Schneider; Daniel Novák
Journal:  JMIR Diabetes       Date:  2022-04-20

8.  Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents.

Authors:  Bree E Holtz; Katharine M Murray; Denise D Hershey; Julie K Dunneback; Shelia R Cotten; Amanda J Holmstrom; Arpita Vyas; Molly K Kaiser; Michael A Wood
Journal:  JMIR Mhealth Uhealth       Date:  2017-04-19       Impact factor: 4.773

Review 9.  Chinese Cardiovascular Disease Mobile Apps' Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review.

Authors:  Bo Xie; Zhaohui Su; Wenhui Zhang; Run Cai
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-14       Impact factor: 4.773

10.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

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