Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study

Background Advancements in mobile phone technology offer huge potential for enhancing the timely delivery of health behavior change interventions. The development of smartphone-based health interventions (apps) is a rapidly growing field of research, yet there have been few longitudinal examinations of how people experience and use these apps within their day-to-day routines, particularly within the context of a hybrid Web- and app-based intervention. Objective This study used an in-depth mixed-methods design to examine individual variation in (1) impact on self-reported goal engagement (ie, motivation, self-efficacy, awareness, effort, achievement) of access to a weight management app (POWeR Tracker) when provided alongside a Web-based weight management intervention (POWeR) and (2) usage and views of POWeR Tracker. Methods Thirteen adults were provided access to POWeR and were monitored over a 4-week period. Access to POWeR Tracker was provided in 2 alternate weeks (ie, weeks 1 and 3 or weeks 2 and 4). Participants’ goal engagement was measured daily via self-report. Mixed effects models were used to examine change in goal engagement between the weeks when POWeR Tracker was and was not available and whether the extent of change in goal engagement varied between individual participants. Usage of POWeR and POWeR Tracker was automatically recorded for each participant. Telephone interviews were conducted and analyzed using inductive thematic analysis to further explore participants’ experiences using POWeR and POWeR Tracker. Results Access to POWeR Tracker was associated with a significant increase in participants’ awareness of their eating (β1=0.31, P=.04) and physical activity goals (β1=0.28, P=.03). The level of increase varied between individual participants. Usage data showed that participants used the POWeR website for similar amounts of time during the weeks when POWeR Tracker was (mean 29 minutes, SD 31 minutes) and was not available (mean 27 minutes, SD 33 minutes). POWeR Tracker was mostly accessed in short bursts (mean 3 minutes, SD 2 minutes) during convenient moments or moments when participants deemed the intervention content most relevant. The qualitative data indicated that nearly all participants agreed that it was more convenient to access information on-the-go via their mobiles compared to a computer. However, participants varied in their views and usage of the Web- versus app-based components and the informational versus tracking tools provided by POWeR Tracker. Conclusions This study provides evidence that smartphones have the potential to improve individuals’ engagement with their health-related goals when used as a supplement to an existing online intervention. The perceived convenience of mobile access to information does not appear to deter use of Web-based interventions or strengthen the impact of app access on goal engagement. A mixed-methods design enabled exploration of individual variation in daily usage of the app-based tools.

[1]  Lucy Yardley,et al.  Randomised controlled feasibility trial of a web-based weight management intervention with nurse support for obese patients in primary care , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[2]  S. Michie,et al.  Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial , 2014, Journal of medical Internet research.

[3]  Michael F. Armey,et al.  Feasibility and Acceptability of a Mobile Intervention to Improve Treatment Adherence in Bipolar Disorder , 2014, Behavior modification.

[4]  Janet A. Schmidt,et al.  Preliminary evaluation of PTSD Coach, a smartphone app for post-traumatic stress symptoms. , 2014, Military Medicine.

[5]  Philip Lindner,et al.  Guided and unguided CBT for social anxiety disorder and/or panic disorder via the Internet and a smartphone application: study protocol for a randomised controlled trial , 2013, Trials.

[6]  J. Car,et al.  Smartphone and tablet self management apps for asthma. , 2013, The Cochrane database of systematic reviews.

[7]  Burkhardt Funk,et al.  Development of a mobile application for people with panic disorder as augmentation for an internet-based intervention , 2013, 2013 Federated Conference on Computer Science and Information Systems.

[8]  L. Burke,et al.  Mobile applications for weight management: theory-based content analysis. , 2013, American journal of preventive medicine.

[9]  Devin Mann,et al.  Evidence-based strategies in weight-loss mobile apps. , 2013, American journal of preventive medicine.

[10]  H. Christensen,et al.  Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review , 2013, Journal of medical Internet research.

[11]  Paul Johns,et al.  Food and Mood: Just-in-Time Support for Emotional Eating , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[12]  Alison Oberne,et al.  Mobile phone-based behavioural interventions for health: A systematic review , 2013 .

[13]  Corneel Vandelanotte,et al.  What Kinds of Website and Mobile Phone–Delivered Physical Activity and Nutrition Interventions Do Middle-Aged Men Want? , 2013, Journal of health communication.

[14]  S. Noar,et al.  A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions , 2013, Journal of health communication.

[15]  Cristina Rey-Reñones,et al.  Efficacy of a mobile application for smoking cessation in young people: study protocol for a clustered, randomized trial , 2013, BMC Public Health.

[16]  B. Fennis,et al.  Less is more: The effect of multiple implementation intentions targeting unhealthy snacking habits , 2013 .

[17]  Ilkka Korhonen,et al.  Personal Health Technologies in Employee Health Promotion: Usage Activity, Usefulness, and Health-Related Outcomes in a 1-Year Randomized Controlled Trial , 2013, JMIR mHealth and uHealth.

[18]  Andy Pulman,et al.  Ideas and Enhancements Related to Mobile Applications to Support Type 1 Diabetes , 2013, JMIR mHealth and uHealth.

[19]  E. Robinson,et al.  Development and feasibility testing of a smart phone based attentive eating intervention , 2013, BMC Public Health.

[20]  P. Schulz,et al.  Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.

[21]  Jessica Y. Breland,et al.  Adherence to evidence-based guidelines among diabetes self-management apps , 2013, Translational behavioral medicine.

[22]  David B Buller,et al.  User-centered development of a smart phone mobile application delivering personalized real-time advice on sun protection , 2013, Translational behavioral medicine.

[23]  Thomas Jg,et al.  Health-e-call, a smartphone-assisted behavioral obesity treatment: pilot study. , 2013 .

[24]  Alisha H. Redelfs,et al.  Technology for health: A qualitative study on barriers to using the iPad for diet change , 2013 .

[25]  Lucy Yardley,et al.  Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study , 2013, Journal of medical Internet research.

[26]  Joshua H. West,et al.  Apps of Steel: Are Exercise Apps Providing Consumers With Realistic Expectations? , 2013, Health education & behavior : the official publication of the Society for Public Health Education.

[27]  M. Carter,et al.  Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial , 2013, Journal of medical Internet research.

[28]  Morwenna Kirwan,et al.  Design, Development, and Formative Evaluation of a Smartphone Application for Recording and Monitoring Physical Activity Levels , 2013, Health education & behavior : the official publication of the Society for Public Health Education.

[29]  Gunnar Hartvigsen,et al.  Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes , 2013, JMIR mHealth and uHealth.

[30]  Permanand Mohan,et al.  Transforming usage data into a sustainable mobile health solution , 2013, Electron. Mark..

[31]  Yan Hong,et al.  Designing iCanFit: A Mobile-Enabled Web Application to Promote Physical Activity for Older Cancer Survivors , 2013, JMIR research protocols.

[32]  O. Kristjansdottir,et al.  A Smartphone-Based Intervention With Diaries and Therapist-Feedback to Reduce Catastrophizing and Increase Functioning in Women With Chronic Widespread Pain: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[33]  M. Morris,et al.  Mobile, Social, and Wearable Computing and the Evolution of Psychological Practice. , 2012, Professional psychology, research and practice.

[34]  L. Yardley,et al.  Integrating user perspectives into the development of a web‐based weight management intervention , 2012, Clinical obesity.

[35]  N. Ahuja,et al.  The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students , 2012, Journal of medical Internet research.

[36]  Dhavan V. Shah,et al.  How Patients Recovering From Alcoholism Use a Smartphone Intervention , 2012, Journal of dual diagnosis.

[37]  Margaret Allman-Farinelli,et al.  Development of Smartphone Applications for Nutrition and Physical Activity Behavior Change , 2012, JMIR research protocols.

[38]  Erik Frøkjær,et al.  Designing daybuilder: an experimental app to support people with depression , 2012, PDC '12.

[39]  Per Carlbring,et al.  Development and initial evaluation of a smartphone application based on acceptance and commitment therapy , 2012, SpringerPlus.

[40]  J. Cafazzo,et al.  Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study , 2012, Journal of medical Internet research.

[41]  Yoshimi Fukuoka,et al.  Qualitative exploration of the acceptability of a mobile phone and pedometer-based physical activity program in a diverse sample of sedentary women. , 2012, Public health nursing.

[42]  G. Miller The Smartphone Psychology Manifesto , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[43]  Richard J. Katz,et al.  Lessons From a Community-Based mHealth Diabetes Self-Management Program: “It's Not Just About the Cell Phone” , 2012, Journal of health communication.

[44]  Morwenna Kirwan,et al.  Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial , 2012, Journal of medical Internet research.

[45]  Wanda Pratt,et al.  Healthcare in the pocket: Mapping the space of mobile-phone health interventions , 2012, J. Biomed. Informatics.

[46]  Jakob E. Bardram,et al.  The MONARCA self-assessment system: a persuasive personal monitoring system for bipolar patients , 2012, IHI '12.

[47]  Beth Bock,et al.  Desired features of smartphone applications promoting physical activity. , 2011, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[48]  Emily R Breton,et al.  Weight loss—there is an app for that! But does it adhere to evidence-informed practices? , 2011, Translational behavioral medicine.

[49]  Sean A Munson,et al.  Beyond the Share Button: Making Social Network Sites Work for Health and Wellness , 2011, IEEE Potentials.

[50]  D. Mohr,et al.  Harnessing Context Sensing to Develop a Mobile Intervention for Depression , 2011, Journal of medical Internet research.

[51]  Kemberlee Bonnet,et al.  Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis , 2011, Journal of medical Internet research.

[52]  Debra Lauterbach,et al.  It's not that i don't have problems, i'm just not putting them on facebook: challenges and opportunities in using online social networks for health , 2011, CSCW.

[53]  Attitudes of Heart Failure Patients and Health care Providers towards Mobile Phone-Based Remote Monitoring , 2010, Journal of medical Internet research.

[54]  Jonna Häkkilä,et al.  Let's all get up and walk to the North Pole: design and evaluation of a mobile wellness application , 2010, NordiCHI.

[55]  S. Michie,et al.  Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy , 2010, Journal of medical Internet research.

[56]  Ralf Schwarzer,et al.  Modelando el cambio en el comportamiento de salud: Cómo predecir y modificar la adopción y el mantenimiento de comportamientos de salud/Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors , 2009 .

[57]  R. Callister,et al.  The SHED‐IT Randomized Controlled Trial: Evaluation of an Internet‐based Weight‐loss Program for Men , 2009, Obesity.

[58]  R. Glasgow,et al.  The delivery of public health interventions via the Internet: actualizing their potential. , 2009, Annual review of public health.

[59]  Brianna S Fjeldsoe,et al.  Behavior change interventions delivered by mobile telephone short-message service. , 2009, American journal of preventive medicine.

[60]  Blair T. Johnson,et al.  Computer-delivered interventions for health promotion and behavioral risk reduction: a meta-analysis of 75 randomized controlled trials, 1988-2007. , 2008, Preventive medicine.

[61]  Rik Pieters,et al.  Dynamics of multiple-goal pursuit. , 2007, Journal of personality and social psychology.

[62]  Matthew Chalmers,et al.  Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones , 2007, Mob. Networks Appl..

[63]  R. Schwarzer,et al.  Bridging the intention–behaviour gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise , 2005 .

[64]  Susan M. Kaiser,et al.  Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia. , 2013, Psychiatric rehabilitation journal.

[65]  Andrew T. Campbell,et al.  Bewell: A smartphone application to monitor, model and promote wellbeing , 2011, PervasiveHealth 2011.