Literature DB >> 26635324

mHealth applications for diabetes: User preference and implications for app development.

Nicholas Conway1, Iona Campbell2, Paula Forbes2, Scott Cunningham2, Deborah Wake2.   

Abstract

Increasing diabetes prevalence has led to the need for more sustainable and person-centred services. The diabetes self-care mHealth marketplace is growing, but most effective/valued features are unknown. This study gauges diabetes app user opinion to inform development work. An analysis of diabetes mHealth apps informed design of a questionnaire sent to a random sample of 400 patients stratified by diabetes type and age. Responses were analysed by sub-group, and preferences were compared with current diabetes apps. App features included data storage/graphics, exercise tracking, health/diet, reminders/alarms, education. Questionnaire response rate was 59 per cent (234/400); 144/233 (62%) owned smartphones. Smartphone users expressed preference towards mHealth (101/142 (71%)), although diabetes use was low (12/163 (7%)). Respondents favoured many potential features, with similar preferences between diabetes types. This study demonstrates that while mHealth acceptance is high, current engagement is low. Engagement and functionality could be improved by including stakeholders in future development, driven by clinical/user need.
© The Author(s) 2015.

Entities:  

Keywords:  diabetes mellitus; mHealth; mobile applications; patient engagement; self-care

Mesh:

Year:  2015        PMID: 26635324     DOI: 10.1177/1460458215616265

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  21 in total

Review 1.  MyDiabetesMyWay: An Evolving National Data Driven Diabetes Self-Management Platform.

Authors:  Deborah J Wake; Jinzhang He; Anna Maria Czesak; Fezan Mughal; Scott G Cunningham
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

2.  Falls Experiences and Prevention Preferences of Adults in Mid-life.

Authors:  Tracy Chippendale; Sonia Bhojwani; Michelle Conley; Felice Dela Cruz; Lauren DiPietro; Dana Kasser; Regina Kent; Jennie Lam; Ashley Scrivanich; Alyssa Takamatsu
Journal:  J Community Health       Date:  2019-12

3.  User Experiences of an Electronic Personal Health Record for Diabetes.

Authors:  Nicholas Thomas Conway; Brian Allardice; Deborah Jane Wake; Scott Gordon Cunningham
Journal:  J Diabetes Sci Technol       Date:  2018-12-26

4.  What Is Offered on Mobile Applications in Spanish About Diabetes Mellitus?

Authors:  Paul Jesús Tejada-Llacsa; Stalin Yance-Contreras; Leidy Machuca-Felipa; Carlos A Cordova-Cassia
Journal:  J Diabetes Sci Technol       Date:  2017-11-15

Review 5.  What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.

Authors:  Ingrid Oakley-Girvan; Reem Yunis; Michelle Longmire; Jessey Schwartz Ouillon
Journal:  Telemed J E Health       Date:  2021-10-11       Impact factor: 5.033

6.  The Impact of Patient Education with a Smartphone Application on the Quality of Bowel Preparation for Screening Colonoscopy.

Authors:  JeongHyeon Cho; SeungHee Lee; Jung A Shin; Jeong Ho Kim; Hong Sub Lee
Journal:  Clin Endosc       Date:  2017-07-03

7.  Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand.

Authors:  Leah Boyle; Rebecca Grainger; Rosemary M Hall; Jeremy D Krebs
Journal:  JMIR Mhealth Uhealth       Date:  2017-06-30       Impact factor: 4.773

8.  Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach.

Authors:  Laura M König; Gudrun Sproesser; Harald T Schupp; Britta Renner
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-13       Impact factor: 4.773

9.  Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review.

Authors:  Dillys Larbi; Pietro Randine; Eirik Årsand; Konstantinos Antypas; Meghan Bradway; Elia Gabarron
Journal:  J Med Internet Res       Date:  2020-07-06       Impact factor: 5.428

10.  Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis.

Authors:  Charlene Connolly Quinn; Erin C Butler; Krystal K Swasey; Michelle D Shardell; Michael D Terrin; Erik A Barr; Ann L Gruber-Baldini
Journal:  JMIR Mhealth Uhealth       Date:  2018-02-02       Impact factor: 4.773

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