Literature DB >> 33295292

Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis.

Yanxia Wei1, Pinpin Zheng1, Hui Deng1, Xihui Wang1, Xiaomei Li1, Hua Fu1.   

Abstract

BACKGROUND: Well-designed mobile health (mHealth) interventions support a positive user experience; however, a high rate of disengagement has been reported as a common concern regarding mHealth interventions. To address this issue, it is necessary to summarize the design features that improve user engagement based on research over the past 10 years, during which time the popularity of mHealth interventions has rapidly increased due to the use of smartphones.
OBJECTIVE: The aim of this review was to answer the question "Which design features improve user engagement with mHealth interventions?" by summarizing published literature with the purpose of guiding the design of future mHealth interventions.
METHODS: This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Databases, namely, PubMed, Web of Science, Cochrane Library, Ovid EMBASE, and Ovid PsycINFO, were searched for English and Chinese language papers published from January 2009 to June 2019. Thematic analysis was undertaken to assess the design features in eligible studies. The Mixed Methods Appraisal Tool was used to assess study quality.
RESULTS: A total of 35 articles were included. The investigated mHealth interventions were mainly used in unhealthy lifestyle (n=17) and chronic disease (n=10) prevention programs. Mobile phone apps (n=24) were the most common delivery method. Qualitative (n=22) and mixed methods (n=9) designs were widely represented. We identified the following 7 themes that influenced user engagement: personalization (n=29), reinforcement (n=23), communication (n=20), navigation (n=17), credibility (n=16), message presentation (n=16), and interface aesthetics (n=7). A checklist was developed that contained these 7 design features and 29 corresponding specific implementations derived from the studies.
CONCLUSIONS: This systematic review and thematic synthesis identified useful design features that make an mHealth intervention more user friendly. We generated a checklist with evidence-based items to enable developers to use our findings easily. Future evaluations should use more robust quantitative approaches to elucidate the relationships between design features and user engagement. ©Yanxia Wei, Pinpin Zheng, Hui Deng, Xihui Wang, Xiaomei Li, Hua Fu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.12.2020.

Entities:  

Keywords:  design feature; mHealth; thematic synthesis analysis; user engagement

Year:  2020        PMID: 33295292      PMCID: PMC7758171          DOI: 10.2196/21687

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  73 in total

Review 1.  Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements.

Authors:  John Torous; Jennifer Nicholas; Mark E Larsen; Joseph Firth; Helen Christensen
Journal:  Evid Based Ment Health       Date:  2018-06-05

Review 2.  Mobile technology and the digitization of healthcare.

Authors:  Sanjeev P Bhavnani; Jagat Narula; Partho P Sengupta
Journal:  Eur Heart J       Date:  2016-02-11       Impact factor: 29.983

Review 3.  Preventing the obesity epidemic by second generation tailored health communication: an interdisciplinary review.

Authors:  Heidi Päivyt Karoliina Enwald; Maija-Leena Aulikki Huotari
Journal:  J Med Internet Res       Date:  2010-06-28       Impact factor: 5.428

4.  More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention.

Authors:  Nina B Baltierra; Kathryn E Muessig; Emily C Pike; Sara LeGrand; Sheana S Bull; Lisa B Hightow-Weidman
Journal:  J Biomed Inform       Date:  2015-12-28       Impact factor: 6.317

5.  Missing the mark for patient engagement: mHealth literacy strategies and behavior change processes in smoking cessation apps.

Authors:  Samantha R Paige; Julia M Alber; Michael L Stellefson; Janice L Krieger
Journal:  Patient Educ Couns       Date:  2017-11-12

6.  The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

Authors:  Susan Michie; Michelle Richardson; Marie Johnston; Charles Abraham; Jill Francis; Wendy Hardeman; Martin P Eccles; James Cane; Caroline E Wood
Journal:  Ann Behav Med       Date:  2013-08

Review 7.  Meta-analysis of internet-delivered interventions to increase physical activity levels.

Authors:  Cally A Davies; John C Spence; Corneel Vandelanotte; Cristina M Caperchione; W Kerry Mummery
Journal:  Int J Behav Nutr Phys Act       Date:  2012-04-30       Impact factor: 6.457

8.  Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults.

Authors:  Joanna Milward; Paolo Deluca; Colin Drummond; Rod Watson; Jacklyn Dunne; Andreas Kimergård
Journal:  JMIR Mhealth Uhealth       Date:  2017-08-08       Impact factor: 4.773

9.  Patients' Needs and Requirements for eHealth Pain Management Interventions: Qualitative Study.

Authors:  Ingrid Konstanse Ledel Solem; Cecilie Varsi; Hilde Eide; Olöf Birna Kristjansdottir; Jelena Mirkovic; Elin Børøsund; Mette Haaland-Øverby; Karina Heldal; Karlein Mg Schreurs; Lori B Waxenberg; Karen Elizabeth Weiss; Eleshia J Morrison; Lise Solberg Nes
Journal:  J Med Internet Res       Date:  2019-04-01       Impact factor: 5.428

10.  User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study.

Authors:  Cristina Tîrnăucă; Rafael Duque; José L Montaña
Journal:  Sensors (Basel)       Date:  2017-07-20       Impact factor: 3.576

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  20 in total

1.  Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials.

Authors:  Lyndsay A Nelson; Andrew J Spieker; Lindsay S Mayberry; Candace McNaughton; Robert A Greevy
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

2.  A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

Authors:  Zhe He; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A Lustria; Neil Charness; Nelson A Roque; Erin R Harrell; Walter R Boot
Journal:  Inf Process Manag       Date:  2022-07-21       Impact factor: 7.466

3.  Electronic Health Record-Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study.

Authors:  Janelle W Coughlin; Lindsay M Martin; Di Zhao; Attia Goheer; Thomas B Woolf; Katherine Holzhauer; Harold P Lehmann; Michelle R Lent; Kathleen M McTigue; Jeanne M Clark; Wendy L Bennett
Journal:  J Med Internet Res       Date:  2022-06-10       Impact factor: 7.076

4.  Developing OurSleepKit: A Couple-focused mHealth Tool to Support Adherence to Positive Airway Pressure Treatment.

Authors:  Lichuan Ye; Michael Arnold Mages; Holly B Jimison; Sanjay R Patel
Journal:  Behav Sleep Med       Date:  2021-09-30       Impact factor: 3.492

5.  The effect of user interface on treatment engagement in a self-guided digital problem-solving intervention: A randomized controlled trial.

Authors:  Amira Hentati; Erik Forsell; Brjánn Ljótsson; Viktor Kaldo; Nils Lindefors; Martin Kraepelien
Journal:  Internet Interv       Date:  2021-08-20

6.  Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review.

Authors:  Madison Milne-Ives; Sophie Homer; Jackie Andrade; Edward Meinert
Journal:  JMIR Res Protoc       Date:  2022-03-29

7.  Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology.

Authors:  Alex Mariakakis; Ravi Karkar; Shwetak N Patel; Julie A Kientz; James Fogarty; Sean A Munson
Journal:  JMIR Hum Factors       Date:  2022-01-03

8.  Informing Content and Feature Design of a Parent-Focused Human Papillomavirus Vaccination Digital Behavior Change Intervention: Synchronous Text-Based Focus Group Study.

Authors:  Elisabeth Rb Becker; Ross Shegog; Lara S Savas; Erica L Frost; C Mary Healy; Stanley W Spinner; Sally W Vernon
Journal:  JMIR Form Res       Date:  2021-11-19

9.  Initial Feasibility of the "Families Moving Forward Connect" Mobile Health Intervention for Caregivers of Children With Fetal Alcohol Spectrum Disorders: Mixed Method Evaluation Within a Systematic User-Centered Design Approach.

Authors:  Christie Lynn McGee Petrenko; Carson Christine Kautz-Turnbull; Alicia Rose Roth; Jennifer Elizabeth Parr; Cristiano Tapparello; Utku Demir; Heather Carmichael Olson
Journal:  JMIR Form Res       Date:  2021-12-02

10.  Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach-Based Psychological Determinants.

Authors:  Helene Schroé; Geert Crombez; Ilse De Bourdeaudhuij; Delfien Van Dyck
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-31       Impact factor: 4.773

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