This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3297) Mobile Health (mhealth) (2939) Usage Data and Process Outcomes in eHealth Trials (56) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 16, No 10 (2014): October

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

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

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

Authors of this article:

Leanne G Morrison1 Author Orcid Image ;   Charlie Hargood2 Author Orcid Image ;   Sharon Xiaowen Lin3 Author Orcid Image ;   Laura Dennison1 Author Orcid Image ;   Judith Joseph1 Author Orcid Image ;   Stephanie Hughes1 Author Orcid Image ;   Danius T Michaelides2 Author Orcid Image ;   Derek Johnston4 Author Orcid Image ;   Marie Johnston5 Author Orcid Image ;   Susan Michie6 Author Orcid Image ;   Paul Little7 Author Orcid Image ;   Peter WF Smith3 Author Orcid Image ;   Mark J Weal2 Author Orcid Image ;   Lucy Yardley1 Author Orcid Image
Article Authors Cited by (64) Tweetations (28) Metrics

Journals

  1. Morrison L, Hargood C, Pejovic V, Geraghty A, Lloyd S, Goodman N, Michaelides D, Weston A, Musolesi M, Weal M, Yardley L, Li D. The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial. PLOS ONE 2017;12(1):e0169162 View
  2. Ebenfeld L, Kleine Stegemann S, Lehr D, Ebert D, Funk B, Riper H, Berking M. A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study. Internet Interventions 2020;19:100296 View
  3. Lyzwinski L, Caffery L, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290 View
  4. Agarwal P, Mukerji G, Desveaux L, Ivers N, Bhattacharyya O, Hensel J, Shaw J, Bouck Z, Jamieson T, Onabajo N, Cooper M, Marani H, Jeffs L, Bhatia R. Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10321 View
  5. Hales S, Turner-McGrievy G, Wilcox S, Fahim A, Davis R, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81 View
  6. Morales J, Inupakutika D, Kaghyan S, Akopian D, Yin Z, Evans M, Parra-Medina D. Technology-based health promotion: Current state and perspectives in emerging gig economy. Biocybernetics and Biomedical Engineering 2019;39(3):825 View
  7. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth and uHealth 2018;6(11):e10123 View
  8. Middelweerd A, van der Laan D, van Stralen M, Mollee J, Stuij M, te Velde S, Brug J. What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  9. Howells F, Kingdon D, Baldwin D. Current and potential pharmacological and psychosocial interventions for anxiety symptoms and disorders in patients with schizophrenia: structured review. Human Psychopharmacology: Clinical and Experimental 2017;32(5) View
  10. Kruse C, Mileski M, Moreno J. Mobile health solutions for the aging population: A systematic narrative analysis. Journal of Telemedicine and Telecare 2017;23(4):439 View
  11. Ingram W, Webb D, Taylor R, Anokye N, Yardley L, Jolly K, Mutrie N, Campbell J, Dean S, Greaves C, Steele M, Lambert J, McAdam C, Jane B, King J, Jones R, Little P, Woolf A, Erwin J, Charles N, Terry R, Taylor A. Multicentred randomised controlled trial of an augmented exercise referral scheme using web-based behavioural support in individuals with metabolic, musculoskeletal and mental health conditions: protocol for the e-coachER trial. BMJ Open 2018;8(9):e022382 View
  12. Arden-Close E, Smith E, Bradbury K, Morrison L, Dennison L, Michaelides D, Yardley L. A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR). JMIR Human Factors 2015;2(1):e8 View
  13. Ipjian M, Johnston C. Smartphone technology facilitates dietary change in healthy adults. Nutrition 2017;33:343 View
  14. Kim S, Cho H. The Effect of Smartphone-Delivered Emergency Preparedness Education on Coping Knowledge Among Fifth- and Sixth-Grade Elementary Schoolchildren in South Korea. The Journal of School Nursing 2017;33(6):434 View
  15. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884 View
  16. Yardley L, Ainsworth B, Arden-Close E, Muller I. The person-based approach to enhancing the acceptability and feasibility of interventions. Pilot and Feasibility Studies 2015;1(1) View
  17. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  18. Nathalie Lyzwinski L, Caffery L, Bambling M, Edirippulige S. University Students’ Perspectives on Mindfulness and mHealth: A Qualitative Exploratory Study. American Journal of Health Education 2018;49(6):341 View
  19. Honary M, Bell B, Clinch S, Wild S, McNaney R. Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR mHealth and uHealth 2019;7(6):e14239 View
  20. Lucertini F, Ferri Marini C, Sisti D, Stocchi V, Federici A, Gregorio F, Piangerelli D, Chiatti C, Cherubini A, Boemi M, Romagnoli F, Cucchi M, D’Angelo F, Luconi M, Bonfigli A. Discontinuously supervised aerobic training vs. physical activity promotion in the self-management of type 2 diabetes in older Italian patients: design and methods of the ‘TRIPL-A’ randomized controlled trial. BMC Geriatrics 2019;19(1) View
  21. Hales S, Turner-McGrievy G, Fahim A, Freix A, Wilcox S, Davis R, Huhns M, Valafar H. A Mixed-Methods Approach to the Development, Refinement, and Pilot Testing of Social Networks for Improving Healthy Behaviors. JMIR Human Factors 2016;3(1):e8 View
  22. Lin S, Morrison L, Smith P, Hargood C, Weal M, Yardley L. Properties of bootstrap tests for N‐of‐1 studies. British Journal of Mathematical and Statistical Psychology 2016;69(3):276 View
  23. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38 View
  24. Partridge S, Allman-Farinelli M, McGeechan K, Balestracci K, Wong A, Hebden L, Harris M, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  25. Sharpe E, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205 View
  26. Cho J, Lee H, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437 View
  27. Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop. Journal of Medical Internet Research 2017;19(6):e232 View
  28. Gomez Quiñonez S, Walthouwer M, Schulz D, de Vries H. mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(11):e278 View
  29. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  30. Athilingam P, Jenkins B. Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review. JMIR Cardio 2018;2(1):e10057 View
  31. Robotham D, Mayhew M, Rose D, Wykes T. Electronic personal health records for people with severe mental illness; a feasibility study. BMC Psychiatry 2015;15(1) View
  32. Anderson K, Burford O, Emmerton L, van Ooijen P. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164 View
  33. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  34. Payne J, Turk M, Kalarchian M, Pellegrini C. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094 View
  35. Frie K, Hartmann-Boyce J, Jebb S, Aveyard P. Testing the effectiveness of a weight loss intervention to enhance self-regulation in adults who are obese: protocol for a randomised controlled trial. BMJ Open 2019;9(12):e031572 View
  36. Jee H. Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3 View
  37. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  38. Willcox J, van der Pligt P, Ball K, Wilkinson S, Lappas M, McCarthy E, Campbell K. Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation. JMIR mHealth and uHealth 2015;3(4):e99 View
  39. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  40. Yardley L, Spring B, Riper H, Morrison L, Crane D, Curtis K, Merchant G, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833 View
  41. Carter D, Robinson K, Forbes J, Hayes S, Zeeb H. Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography. PLOS ONE 2018;13(12):e0208759 View
  42. Yim S, Bailey E, Gordon G, Grant N, Musiat P, Schmidt U. Exploring Participants’ Experiences of a Web-Based Program for Bulimia and Binge Eating Disorder: Qualitative Study. Journal of Medical Internet Research 2020;22(9):e17880 View
  43. Díaz-Méndez C, Adams J. The combined used of quantitative and qualitative longitudinal methods in the study of obesity. Gaceta Sanitaria 2021;35(6):569 View
  44. Taylor A, Taylor R, Ingram W, Anokye N, Dean S, Jolly K, Mutrie N, Lambert J, Yardley L, Greaves C, King J, McAdam C, Steele M, Price L, Streeter A, Charles N, Terry R, Webb D, Campbell J, Hughes L, Ainsworth B, Jones B, Jane B, Erwin J, Little P, Woolf A, Cavanagh C. Adding web-based behavioural support to exercise referral schemes for inactive adults with chronic health conditions: the e-coachER RCT. Health Technology Assessment 2020;24(63):1 View
  45. Whitelock V, Kersbergen I, Higgs S, Aveyard P, Halford J, Robinson E. User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e16780 View
  46. Han M, Rhee S. Effect of Adherence to Smartphone App Use on the Long-term Effectiveness of Weight Loss in Developing and OECD Countries: Retrospective Cohort Study. JMIR mHealth and uHealth 2021;9(7):e13496 View
  47. Tonkin E, Brimblecombe J, Wycherley T. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308 View
  48. Yadav M, Neate S, Hassed C, Chambers R, Connaughton S, Nag N. Mining the Gems of a Web-Based Mindfulness Intervention: Qualitative Analysis of Factors Aiding Completion and Implementation. JMIR Formative Research 2022;6(10):e37406 View
  49. Edmunds J, Gicheva D, Thrift B, Hull M. Using Mixed Methods to Explore Variations in Impact Within RCTs: The Case of Project COMPASS. Journal of Mixed Methods Research 2022;16(4):478 View
  50. Oakley-Girvan I, Yunis R, Longmire M, Ouillon J. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health 2021 View
  51. Kang S, Kim S, Kang K. Effects of Child Sexual Abuse Prevention Education Program Using Hybrid Application (CSAPE-H) on Fifth-Grade Students in South Korea. The Journal of School Nursing 2022;38(4):368 View
  52. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603 View
  53. Greenwell K, Sereda M, Coulson N, Hoare D. Understanding User Reactions and Interactions With an Internet-Based Intervention for Tinnitus Self-Management: Mixed-Methods Process Evaluation Protocol. JMIR Research Protocols 2016;5(1):e49 View
  54. Martínez-Olcina M, Cuestas-Calero B, Miralles-Amorós L, Vicente-Martínez M, Sánchez-Sánchez J. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females. International Journal of Environmental Research and Public Health 2022;19(10):5857 View
  55. Kelly P, Beck A, Deane F, Larance B, Baker A, Hides L, Manning V, Shakeshaft A, Neale J, Kelly J, Oldmeadow C, Searles A, Palazzi K, Lawson K, Treloar C, Gray R, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study. Journal of Medical Internet Research 2021;23(10):e25217 View
  56. He Z, Tian S, Singh A, Chakraborty S, Zhang S, Lustria M, Charness N, Roque N, Harrell E, Boot W. A Machine-Learning Based Approach for Predicting Older Adults’ Adherence to Technology-Based Cognitive Training. Information Processing & Management 2022;59(5):103034 View
  57. Liu J, Gong X, Weal M, Dai W, Hou S, Ma J. Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — A mixed methods study. DIGITAL HEALTH 2023;9 View
  58. Harper R, Sheppard S, Stewart C, Clark C. Exploring Adherence to Pelvic Floor Muscle Training in Women Using Mobile Apps: Scoping Review. JMIR mHealth and uHealth 2023;11:e45947 View
  59. Patterson K, Davey R, Keegan R, Niyonsenga T, Mohanty I, Bowen S, Regan E, Lander M, van Berlo S, Freene N. Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e48229 View
  60. Loder A, van Poppel M. Associations of smart device apps with and without a perceived self-efficacy component in a physical activity context with BMI. Journal of Health Psychology 2024 View
  61. Kondo K, Kim S, Noguchi N, Akiyama R, Murata W, Lee B. Learning program enhances rehabilitation professionals’ perceived ease of using 3d printing: a pilot randomized controlled trial. Disability and Rehabilitation: Assistive Technology 2024:1 View

Books/Policy Documents

  1. King D, Rahman E, Potter A, van Teijlingen E. Proceedings of the Future Technologies Conference (FTC) 2018. View
  2. Pejovic V, Lathia N, Mascolo C, Musolesi M. Emotions and Personality in Personalized Services. View