Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17572, first published .
Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

Journals

  1. Soriano J, Fernández E, de Astorza Á, Pérez de Llano L, Fernández-Villar A, Carnicer-Pont D, Alcázar-Navarrete B, García A, Morales A, Lobo M, Maroto M, Ferreras E, Soriano C, Del Rio-Bermudez C, Vega-Piris L, Basagaña X, Muncunill J, Cosio B, Lumbreras S, Catalina C, Alzaga J, Gómez Quilón D, Valdivia C, de Lara C, Ancochea J. Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers. JMIR Public Health and Surveillance 2020;6(3):e21653 View
  2. D'Addario M, Baretta D, Zanatta F, Greco A, Steca P. Engagement Features in Physical Activity Smartphone Apps: Focus Group Study With Sedentary People. JMIR mHealth and uHealth 2020;8(11):e20460 View
  3. Linnemayr S, Zutshi R, Shadel W, Pedersen E, DeYoreo M, Tucker J. Text Messaging Intervention for Young Smokers Experiencing Homelessness: Lessons Learned From a Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e23989 View
  4. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study. JMIR mHealth and uHealth 2021;9(4):e27173 View
  5. Khadjesari Z, Brown T, Naughton F. Regulation and accreditation of addictive behaviour applications—navigating the landscape. Addiction 2021;116(12):3276 View
  6. Gulliver A, Calear A, Sunderland M, Kay-Lambkin F, Farrer L, Batterham P. Predictors of acceptability and engagement in a self-guided online program for depression and anxiety. Internet Interventions 2021;25:100400 View
  7. Perski O, Short C. Acceptability of digital health interventions: embracing the complexity. Translational Behavioral Medicine 2021;11(7):1473 View
  8. de Hoogh I, Winters B, Nieman K, Bijlsma S, Krone T, van den Broek T, Anderson B, Caspers M, Anthony J, Wopereis S. A Novel Personalized Systems Nutrition Program Improves Dietary Patterns, Lifestyle Behaviors and Health-Related Outcomes: Results from the Habit Study. Nutrients 2021;13(6):1763 View
  9. Ester M, McNeely M, McDonough M, Culos-Reed S. A survey of technology literacy and use in cancer survivors from the Alberta Cancer Exercise program. DIGITAL HEALTH 2021;7:205520762110334 View
  10. Matcham F, Leightley D, Siddi S, Lamers F, White K, Annas P, de Girolamo G, Difrancesco S, Haro J, Horsfall M, Ivan A, Lavelle G, Li Q, Lombardini F, Mohr D, Narayan V, Oetzmann C, Penninx B, Bruce S, Nica R, Simblett S, Wykes T, Brasen J, Myin-Germeys I, Rintala A, Conde P, Dobson R, Folarin A, Stewart C, Ranjan Y, Rashid Z, Cummins N, Manyakov N, Vairavan S, Hotopf M. Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study. BMC Psychiatry 2022;22(1) View
  11. Nwosu A, Boardman S, Husain M, Doraiswamy P. Digital therapeutics for mental health: Is attrition the Achilles heel?. Frontiers in Psychiatry 2022;13 View
  12. Shiyab W, Halcomb E, Rolls K, Ferguson C. The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review. Journal of Medical Internet Research 2023;25:e38429 View
  13. Svendsen M, Nicholl B, Mair F, Wood K, Rasmussen C, Stochkendahl M. One size does not fit all: Participants’ experiences of the selfBACK app to support self-management of low back pain—a qualitative interview study. Chiropractic & Manual Therapies 2022;30(1) View
  14. Milne-Ives M, Homer S, Andrade J, Meinert E. Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e35172 View
  15. Ramadurai R, Beckham E, McHugh R, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Mental Health 2022;9(8):e33545 View
  16. Mälstam E, Patomella A, Asaba E. Incorporating new ways of doing by learning from everyday experiences and interactions using a multifactorial mHealth app. DIGITAL HEALTH 2023;9:205520762211492 View
  17. Torous J, Bucci S, Bell I, Kessing L, Faurholt‐Jepsen M, Whelan P, Carvalho A, Keshavan M, Linardon J, Firth J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 2021;20(3):318 View
  18. Szinay D, Forbes C, Busse H, DeSmet A, Smit E, König L. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3) View
  19. Van Emmenis M, Jamison J, Kassavou A, Hardeman W, Naughton F, A'Court C, Sutton S, Eborall H. Patient and practitioner views on a combined face-to-face and digital intervention to support medication adherence in hypertension: a qualitative study within primary care. BMJ Open 2022;12(2):e053183 View
  20. White K, Matcham F, Leightley D, Carr E, Conde P, Dawe-Lane E, Ranjan Y, Simblett S, Henderson C, Hotopf M. Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial. JMIR Research Protocols 2021;10(12):e32653 View
  21. Hendriks Y, Peek S, Kaptein M, Bongers I. Process and Information Needs When Searching for and Selecting Apps for Smoking Cessation: Qualitative Study Using Contextual Inquiry. JMIR Human Factors 2022;9(2):e32628 View
  22. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano M, Solvoll T, Granja C, Schopf T, Callico G, Soguero-Ruiz C, Wägner A. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030 View
  23. Neale J, Bowen A. Lessons for Uptake and Engagement of a Smartphone App (SURE Recovery) for People in Recovery From Alcohol and Other Drug Problems: Interview Study of App Users. JMIR Human Factors 2022;9(1):e33038 View
  24. Vahidi H, Taleai M, Yan W, Shaw R. Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran. International Journal of Environmental Research and Public Health 2021;18(18):9666 View
  25. Szinay D, Cameron R, Naughton F, Whitty J, Brown J, Jones A. Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design. Journal of Medical Internet Research 2021;23(10):e32365 View
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  29. Fresán U, Bernard P, Fabregues S, Boronat A, Araújo-Soares V, König L, Chevance G. A Smartphone Intervention to Promote a Sustainable Healthy Diet: Protocol for a Pilot Study. JMIR Research Protocols 2023;12:e41443 View
  30. Jembai J, Wong Y, Bakhtiar N, Lazim S, Ling H, Kuan P, Chua P. Mobile health applications: awareness, attitudes, and practices among medical students in Malaysia. BMC Medical Education 2022;22(1) View
  31. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  32. Gebremariam K, Mulugeta A, Gallegos D. Co-design and implementation of a mHealth intervention targeting fathers and mothers to improve breastfeeding. BMC Medical Informatics and Decision Making 2023;23(1) View
  33. Vandekerckhove P, Timmermans J, de Bont A, de Mul M. Diversity in Stakeholder Groups in Generative Co-design for Digital Health: Assembly Procedure and Preliminary Assessment. JMIR Human Factors 2023;10:e38350 View
  34. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  35. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study. JMIR mHealth and uHealth 2021;9(12):e29098 View
  36. Sinha C, Cheng A, Kadaba M. Adherence and Engagement With a Cognitive Behavioral Therapy–Based Conversational Agent (Wysa for Chronic Pain) Among Adults With Chronic Pain: Survival Analysis. JMIR Formative Research 2022;6(5):e37302 View
  37. Schroé H, Crombez G, De Bourdeaudhuij I, Van Dyck D. 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. JMIR mHealth and uHealth 2022;10(1):e30583 View
  38. Bear H, Ayala Nunes L, DeJesus J, Liverpool S, Moltrecht B, Neelakantan L, Harriss E, Watkins E, Fazel M. Determination of Markers of Successful Implementation of Mental Health Apps for Young People: Systematic Review. Journal of Medical Internet Research 2022;24(11):e40347 View
  39. Coughlin J, Martin L, Zhao D, Goheer A, Woolf T, Holzhauer K, Lehmann H, Lent M, McTigue K, Clark J, Bennett W. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191 View
  40. Zoellner J, Reid A, Porter K, Frederick C, Hilgart M, Ritterband L. Development of a Digital Behavioral Intervention to Reduce the Consumption of Sugar-Sweetened Beverages Among Rural Appalachian Adults: Multiphased, Human-Centered Design Approach. JMIR Human Factors 2023;10:e41262 View
  41. Carey A, Yang Q, DeLuca L, Toro-Ramos T, Kim Y, Michaelides A. The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis. JMIR mHealth and uHealth 2021;9(11):e30622 View
  42. Schwarz A, Winkens L, de Vet E, Ossendrijver D, Bouwsema K, Simons M. Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies. JMIR mHealth and uHealth 2023;11:e40898 View
  43. Iglesias M, Sinha C, Vempati R, Grace S, Roy M, Chapman W, Rinaldi M. Evaluating a Digital Mental Health Intervention (Wysa) for Workers’ Compensation Claimants. Journal of Occupational & Environmental Medicine 2023;65(2):e93 View
  44. Öeren M, Jordan I, Coughlin D, Turnbull S. Improving Access to Behavioral Strategies to Improve Mental Well-being With an Entertaining Breakfast Show App: Feasibility Evaluation Study. JMIR Formative Research 2022;6(3):e25715 View
  45. Sierk A, Travers E, Economides M, Loe B, Sun L, Bolton H. A New Digital Assessment of Mental Health and Well-being in the Workplace: Development and Validation of the Unmind Index. JMIR Mental Health 2022;9(1):e34103 View
  46. Strauss G, Flannery J, Vierra E, Koepsell X, Berglund E, Miller I, Lake J. Meaningful engagement: A crossfunctional framework for digital therapeutics. Frontiers in Digital Health 2022;4 View
  47. Nardi W, Roy A, Dunsiger S, Brewer J. Analyzing the Impact of Mobile App Engagement on Mental Health Outcomes: Secondary Analysis of the Unwinding Anxiety Program. Journal of Medical Internet Research 2022;24(8):e33696 View
  48. Van Baelen F, De Regge M, Larivière B, Verleye K, Schelfout S, Eeckloo K. Role of Social and App-Related Factors in Behavioral Engagement With mHealth for Improved Well-being Among Chronically Ill Patients: Scenario-Based Survey Study. JMIR mHealth and uHealth 2022;10(8):e33772 View
  49. Alphonse A, Stewart K, Brown J, Perski O. Exploring Users’ Experiences With a Quick-Response Chatbot Within a Popular Smoking Cessation Smartphone App: Semistructured Interview Study. JMIR Formative Research 2022;6(7):e36869 View
  50. Miller S, Ainsworth B, Weal M, Smith P, Little P, Yardley L, Morrison L. A Web-Based Intervention (Germ Defence) to Increase Handwashing During a Pandemic: Process Evaluations of a Randomized Controlled Trial and Public Dissemination. Journal of Medical Internet Research 2021;23(10):e26104 View
  51. Magee M, Gholamrezaei A, McNeilage A, Sim A, Dwyer L, Ferreira M, Darnall B, Glare P, Ashton-James C. A Digital Video and Text Messaging Intervention to Support People With Chronic Pain During Opioid Tapering: Content Development Using Co-design. JMIR Formative Research 2022;6(11):e40507 View
  52. Haddock G, Foad C, Thorne S. How do people conceptualize mindfulness?. Royal Society Open Science 2022;9(3) View
  53. Seifert A, Vandelanotte C. The use of wearables and health apps and the willingness to share self-collected data among older adults. Aging and Health Research 2021;1(3):100032 View
  54. Lawrason S, Brown-Ganzert L, Campeau L, MacInnes M, Wilkins C, Martin Ginis K. mHealth Physical Activity Intervention for Individuals With Spinal Cord Injury: Planning and Development Processes. JMIR Formative Research 2022;6(8):e34303 View
  55. Saleem M, Kühne L, De Santis K, Christianson L, Brand T, Busse H. Understanding Engagement Strategies in Digital Interventions for Mental Health Promotion: Scoping Review. JMIR Mental Health 2021;8(12):e30000 View
  56. Salamanca-Sanabria A, Jabir A, Lin X, Alattas A, Kocaballi A, Lee J, Kowatsch T, Tudor Car L. Exploring the Perceptions of mHealth Interventions for the Prevention of Common Mental Disorders in University Students in Singapore: Qualitative Study. Journal of Medical Internet Research 2023;25:e44542 View
  57. Badawi E, Coursaris C, Sénécal S, Léger P. Facilitating engagement of universal school-based digital mental health solutions through user experience: A qualitative exploration. Frontiers in Digital Health 2023;5 View
  58. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639 View
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  61. Uribe F, Favacho M, Moura P, Patiño D, da Silva Pedroso J. Effectiveness of an app-based intervention to improve well-being through cultivating positive thinking and positive emotions in an adult sample: study protocol for a randomized controlled trial. Frontiers in Psychology 2023;14 View
  62. Summers C, Taylor A, Panesar A, Kaura A, Brinkworth G. Effects of a Digital Weight Management Service on adults with obesity living in Cornwall: a single-arm intervention trial (Preprint). JMIR mHealth and uHealth 2023 View
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  64. Ferretti A, Vayena E, Blasimme A, König L. Unlock digital health promotion in LMICs to benefit the youth. PLOS Digital Health 2023;2(8):e0000315 View
  65. Yang Toh S, Lee S, Kosasih F, Lim J, Sündermann O. Preliminary effectiveness of an evidence-based mobile application to promote resilience among working adults in Singapore and Hong Kong: Intensive longitudinal study. DIGITAL HEALTH 2023;9:205520762311786 View
  66. Cai T, Yuan C. Iron triangle framework for the health recommender system: perspectives from intelligent care. Interdisciplinary Nursing Research 2023;2(2):65 View
  67. Paganini S, Meier E, Terhorst Y, Wurst R, Hohberg V, Schultchen D, Strahler J, Wursthorn M, Baumeister H, Messner E. Stress Management Apps: Systematic Search and Multidimensional Assessment of Quality and Characteristics. JMIR mHealth and uHealth 2023;11:e42415 View
  68. Ikwunne T, Hederman L, Wall P. DECENT: A sociotechnical approach for developing mobile health apps in underserved settings. DIGITAL HEALTH 2023;9 View
  69. Hanson P, Summers C, Panesar A, Liarakos A, Oduro-Donkor D, Whyte Oshodi D, Hailston L, Randeva H, Menon V, de la Fosse M, Kaura A, Shuttlewood E, Loveder M, Poole D, Barber T. Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study. JMIR Human Factors 2023;10:e41256 View
  70. Vera Cruz G, Khazaal Y, Etter J. Predicting the Users’ Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis. European Addiction Research 2023;29(3):171 View
  71. Petrinec A, Wilk C, Hughes J, Zullo M, George R. Self-Care Mental Health App Intervention for Post–Intensive Care Syndrome–Family: A Randomized Pilot Study. American Journal of Critical Care 2023;32(6):440 View
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  78. Pei Y, O'Brien K. Use of Social Media Data Mining to Examine Needs, Concerns, and Experiences of People With Traumatic Brain Injury. American Journal of Speech-Language Pathology 2024;33(2):831 View
  79. Moungui H, Nana-Djeunga H, Anyiang C, Cano M, Ruiz Postigo J, Carrion C. Dissemination Strategies for mHealth Apps: Systematic Review. JMIR mHealth and uHealth 2024;12:e50293 View
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Books/Policy Documents

  1. . Dynamic Pathways to Recovery from Alcohol Use Disorder. View
  2. Bowen A, Getty M, Hogan C, Lennon P, Long E, Strang J, Neale J. Dynamic Pathways to Recovery from Alcohol Use Disorder. View
  3. Alhejaili A, Blustein J. HCI International 2023 Posters. View
  4. Ruotsalainen I, Valtanen M, Kärsämä R, Umer A, Parikka S, Lundqvist A, Lindström J. Digital Health and Wireless Solutions. View