Published on in Vol 3, No 2 (2015): Apr-Jun

Identification of Behavior Change Techniques and Engagement Strategies to Design a Smartphone App to Reduce Alcohol Consumption Using a Formal Consensus Method

Identification of Behavior Change Techniques and Engagement Strategies to Design a Smartphone App to Reduce Alcohol Consumption Using a Formal Consensus Method

Identification of Behavior Change Techniques and Engagement Strategies to Design a Smartphone App to Reduce Alcohol Consumption Using a Formal Consensus Method

Journals

  1. Romeo A, Edney S, Plotnikoff R, Curtis R, Ryan J, Sanders I, Crozier A, Maher C. Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2019;21(3):e12053 View
  2. Gray R, Kelly P, Beck A, Baker A, Deane F, Neale J, Treloar C, Hides L, Manning V, Shakeshaft A, Kelly J, Argent A, McGlaughlin R. A qualitative exploration of SMART Recovery meetings in Australia and the role of a digital platform to support routine outcome monitoring. Addictive Behaviors 2020;101:106144 View
  3. Thomas K, Müssener U, Linderoth C, Karlsson N, Bendtsen P, Bendtsen M. Effectiveness of a Text Messaging–Based Intervention Targeting Alcohol Consumption Among University Students: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(6):e146 View
  4. Alshurafa N, Jain J, Alharbi R, Iakovlev G, Spring B, Pfammatter A. Is More Always Better?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(4):1 View
  5. Perski O, Baretta D, Blandford A, West R, Michie S. Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study. DIGITAL HEALTH 2018;4:205520761878584 View
  6. Carmody J, Denson L, Hommel K. Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics. Journal of Pediatric Psychology 2019;44(3):333 View
  7. Sancho-Garcia S, Sanz-de Diego S, Medina-Porqueres I. Apps to prescribe therapeutic exercise among rehabilitating adults: a systematic review. The Journal of Sports Medicine and Physical Fitness 2020;60(3) View
  8. Kazemi D, Borsari B, Levine M, Lamberson K, Dooley B. REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students. Addiction Research & Theory 2018;26(5):377 View
  9. Lau Y, Cheng L, Chi C, Tsai C, Ong K, Ho-Lim S, Wang W, Tan K. Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study. JMIR mHealth and uHealth 2018;6(4):e91 View
  10. Mastroleo N, Celio M, Barnett N, Colby S, Kahler C, Operario D, Suffoletto B, Monti P. Feasibility and acceptability of a motivational intervention combined with text messaging for alcohol and sex risk reduction with emergency department patients: a pilot trial. Addiction Research & Theory 2019;27(2):85 View
  11. Garnett C, Crane D, Brown J, Kaner E, Beyer F, Muirhead C, Hickman M, Beard E, Redmore J, de Vocht F, Michie S. Behavior Change Techniques Used in Digital Behavior Change Interventions to Reduce Excessive Alcohol Consumption: A Meta-regression. Annals of Behavioral Medicine 2018;52(6):530 View
  12. Haddad H, de Nazelle A. The role of personal air pollution sensors and smartphone technology in changing travel behaviour. Journal of Transport & Health 2018;11:230 View
  13. Roberts A, Fisher A, Smith L, Heinrich M, Potts H. Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis. Journal of Cancer Survivorship 2017;11(6):704 View
  14. Matthew A, Yang Z. Online interventions for sexual health in cancer. Current Opinion in Supportive & Palliative Care 2020;14(1):80 View
  15. Leightley D, Puddephatt J, Jones N, Mahmoodi T, Chui Z, Field M, Drummond C, Rona R, Fear N, Goodwin L. A Smartphone App and Personalized Text Messaging Framework (InDEx) to Monitor and Reduce Alcohol Use in Ex-Serving Personnel: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(9):e10074 View
  16. Wang J, Rogge A, Armour M, Smith C, D’Adamo C, Pischke C, Yen H, Wu M, Moré A, Witt C, Pach D. International ResearchKit App for Women with Menstrual Pain (Development, Access, and Engagement): Pragmatic Randomized Control Trial. JMIR mHealth and uHealth 2020;8(2):e14661 View
  17. Garnett C, Crane D, Michie S, West R, Brown J. Evaluating the effectiveness of a smartphone app to reduce excessive alcohol consumption: protocol for a factorial randomised control trial. BMC Public Health 2016;16(1) View
  18. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253 View
  19. Suffoletto B, Kristan J, Person Mecca L, Chung T, Clark D. Optimizing a Text Message Intervention to Reduce Heavy Drinking in Young Adults: Focus Group Findings. JMIR mHealth and uHealth 2016;4(2):e73 View
  20. Aharonovich E, Stohl M, Cannizzaro D, Hasin D. HealthCall delivered via smartphone to reduce co-occurring drug and alcohol use in HIV-infected adults: A randomized pilot trial. Journal of Substance Abuse Treatment 2017;83:15 View
  21. Crane D, Garnett C, Michie S, West R, Brown J. A smartphone app to reduce excessive alcohol consumption: Identifying the effectiveness of intervention components in a factorial randomised control trial. Scientific Reports 2018;8(1) View
  22. Roberts A, Potts H, Koutoukidis D, Smith L, Fisher A. Breast, Prostate, and Colorectal Cancer Survivors’ Experiences of Using Publicly Available Physical Activity Mobile Apps: Qualitative Study. JMIR mHealth and uHealth 2019;7(1):e10918 View
  23. Luna-Perejon F, Malwade S, Styliadis C, Civit J, Cascado-Caballero D, Konstantinidis E, Abdul S, Bamidis P, Civit A, Li Y. Evaluation of user satisfaction and usability of a mobile app for smoking cessation. Computer Methods and Programs in Biomedicine 2019;182:105042 View
  24. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6 View
  25. Perski O, Naughton F, Garnett C, Blandford A, Beard E, West R, Michie S. Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies. JMIR mHealth and uHealth 2019;7(10):e14098 View
  26. Scheerman J, van Meijel B, van Empelen P, Verrips G, van Loveren C, Twisk J, Pakpour A, van den Braak M, Kramer G. The effect of using a mobile application (“WhiteTeeth”) on improving oral hygiene: A randomized controlled trial. International Journal of Dental Hygiene 2020;18(1):73 View
  27. Anderson P, Jané-Llopis E, Hasan O, Rehm J. City-based action to reduce harmful alcohol use: review of reviews. F1000Research 2018;7:120 View
  28. Garnett C, Crane D, West R, Brown J, Michie S. The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers. Translational Behavioral Medicine 2019;9(2):296 View
  29. Choo C, Burton A. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18 View
  30. Suffoletto B, Scaglione S. Using Digital Interventions to Support Individuals with Alcohol Use Disorder and Advanced Liver Disease: A Bridge Over Troubled Waters. Alcoholism: Clinical and Experimental Research 2018;42(7):1160 View
  31. Lund B. Review of the Delphi method in library and information science research. Journal of Documentation 2020;76(4):929 View
  32. Alenazi H, Jamal A, Batais M. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083 View
  33. Kelly P, Beck A, Baker A, Deane F, Hides L, Manning V, Shakeshaft A, Larance B, Neale J, Kelly J, Oldmeadow C, Searles A, Treloar C, Gray R, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in Mutual Support Groups Coordinated by SMART Recovery Australia: Protocol for a Pilot Study. JMIR Research Protocols 2020;9(7):e15113 View
  34. Thomas K, Linderoth C, Bendtsen M, Bendtsen P, Müssener U. Text Message-Based Intervention Targeting Alcohol Consumption Among University Students: Findings From a Formative Development Study. JMIR mHealth and uHealth 2016;4(4):e119 View
  35. Winters-Stone K, Kenfield S, Van Blarigan E, Moe E, Ramsdill J, Daniel K, Macaire G, Paich K, Kessler E, Kucuk O, Gillespie T, Lyons K, Beer T, Broering J, Carroll P, Chan J. Effect of Increasing Levels of Web-Based Behavioral Support on Changes in Physical Activity, Diet, and Symptoms in Men With Prostate Cancer: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(11):e11257 View
  36. 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
  37. Liu X, Liu Z, Zhu S, Correia J, De Jesus A, Chen P, Xie Z, Chen R, Wu Y. Human Reliability Assessment of Ergonomic Interaction Design for Engineering Software Based on Entropy–FTA–Delphi. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2020;6(3) View
  38. Anderson P, Jané-Llopis E, Hasan O, Rehm J. City-based action to reduce harmful alcohol use: review of reviews. F1000Research 2018;7:120 View
  39. Gainforth H, Giroux E, Shaw R, Casemore S, Clarke T, McBride C, Garnett C, Sweet S. Investigating Characteristics of Quality Peer Mentors With Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation 2019;100(10):1916 View
  40. Wilson H, Stoyanov S, Gandabhai S, Baldwin A. The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol. JMIR mHealth and uHealth 2016;4(3):e98 View
  41. Perski O, Blandford A, Ubhi H, West R, Michie S. Smokers’ and drinkers’ choice of smartphone applications and expectations of engagement: a think aloud and interview study. BMC Medical Informatics and Decision Making 2017;17(1) View
  42. Wright C, Dietze P, Lim M. Beyond Basic Feedback in Mobile Brief Interventions: Designing SMS Message Content for Delivery to Young Adults During Risky Drinking Events. JMIR mHealth and uHealth 2017;5(6):e79 View
  43. Gorwood P. L’apport du numérique en santé mentale : beaucoup d’espoir, quelques inquiétudes. Soins Psychiatrie 2017;38(311):12 View
  44. O⿿Rourke L, Humphris G, Baldacchino A. Electronic communication based interventions for hazardous young drinkers: A systematic review. Neuroscience & Biobehavioral Reviews 2016;68:880 View
  45. Attwood S, Parke H, Larsen J, Morton K. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1) View
  46. Iribarren S, Akande T, Kamp K, Barry D, Kader Y, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563 View
  47. Nicholas J, Ntoumanis N, Smith B, Quested E, Stamatakis E, Thøgersen-Ntoumani C. Development and feasibility of a mobile phone application designed to support physically inactive employees to increase walking. BMC Medical Informatics and Decision Making 2021;21(1) View
  48. Baik S, Oswald L, Buscemi J, Buitrago D, Iacobelli F, Perez-Tamayo A, Guitelman J, Penedo F, Yanez B. Patterns of Use of Smartphone-Based Interventions Among Latina Breast Cancer Survivors: Secondary Analysis of a Pilot Randomized Controlled Trial. JMIR Cancer 2020;6(2):e17538 View
  49. Garnett C, Oldham M, Angus C, Beard E, Burton R, Field M, Greaves F, Hickman M, Kaner E, Loebenberg G, Michie S, Munafò M, Pizzo E, Brown J. Evaluating the effectiveness of the smartphone app, Drink Less, compared with the NHS alcohol advice webpage, for the reduction of alcohol consumption among hazardous and harmful adult drinkers in the UK at 6‐month follow‐up: protocol for a randomised controlled trial. Addiction 2021;116(2):412 View
  50. Anthoine E, Caillon J, Deparis X, Blanche M, Lebeaupin M, Brochard M, Venisse J, Moret L. Assessing the Acceptability and Feasibility of a Web-Based Screening for Psychoactive Substance Users Among a French Sample of University Students and Workers: Mixed Methods Prospective Study. JMIR Formative Research 2021;5(10):e15519 View
  51. Fernández C, Maturana C, Coloma S, Carrasco-Labra A, Giacaman R. Teledentistry and mHealth for Promotion and Prevention of Oral Health: A Systematic Review and Meta-analysis. Journal of Dental Research 2021;100(9):914 View
  52. Aschbacher K, Hendershot C, Tison G, Hahn J, Avram R, Olgin J, Marcus G. Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior. npj Digital Medicine 2021;4(1) View
  53. Beck A, Kelly P, Deane F, Baker A, Hides L, Manning V, Shakeshaft A, Neale J, Kelly J, Gray R, Argent A, McGlaughlin R, Chao R, Martini M. Developing a mHealth Routine Outcome Monitoring and Feedback App (“SMART Track”) to Support Self-Management of Addictive Behaviours. Frontiers in Psychiatry 2021;12 View
  54. Garnett C, Perski O, Michie S, West R, Field M, Kaner E, Munafò M, Greaves F, Hickman M, Burton R, Brown J. Refining the content and design of an alcohol reduction app, Drink Less, to improve its usability and effectiveness: a mixed methods approach. F1000Research 2021;10:511 View
  55. Kong M, Lee M, Kang H, Hong T. Development of a framework for evaluating the contents and usability of the building life cycle assessment tool. Renewable and Sustainable Energy Reviews 2021;150:111475 View
  56. Norris E, Prescott A, Noone C, Green J, Reynolds J, Grant S, Toomey E. Establishing open science research priorities in health psychology: a research prioritisation Delphi exercise. Psychology & Health 2022:1 View
  57. Garnett C, Perski O, Michie S, West R, Field M, Kaner E, Munafò M, Greaves F, Hickman M, Burton R, Brown J. Refining the content and design of an alcohol reduction app, Drink Less, to improve its usability and effectiveness: a mixed methods approach. F1000Research 2021;10:511 View
  58. Khazaal Y, Potvin S, Pennou A, Djomo W, Borgeat F, Lecomte T. Des repères pour la conception des apps ?. Santé mentale au Québec 2021;46(1):119 View
  59. Jaffar A, Mohd-Sidik S, Foo C, Admodisastro N, Abdul Salam S, Ismail N. Improving Pelvic Floor Muscle Training Adherence Among Pregnant Women: Validation Study. JMIR Human Factors 2022;9(1):e30989 View
  60. Pach D, Blödt S, Wang J, Keller T, Bergmann B, Rogge A, Barth J, Icke K, Roll S, Witt C. App-Based Relaxation Exercises for Patients With Chronic Neck Pain: Pragmatic Randomized Trial. JMIR mHealth and uHealth 2022;10(1):e31482 View
  61. Williamson C, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. Recruiting Military Veterans into Alcohol Misuse Research: The Role of Social Media and Facebook Advertising. Telemedicine and e-Health 2023;29(1):93 View
  62. 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
  63. Williamson C, Dryden D, Palmer L, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. An Expert and Veteran User Assessment of the Usability of an Alcohol Reduction App for Military Veterans, Drinks: Ration: A Mixed-Methods Pilot Study. Military Behavioral Health 2023;11(1-2):14 View
  64. Irizar P, Puddephatt J, Warren J, Field M, Jones A, Rose A, Gage S, Goodwin L. “Drinkers Like Me”: A Thematic Analysis of Comments Responding to an Online Article About Moderating Alcohol Consumption. Frontiers in Psychology 2022;13 View
  65. Wei W, Liu J, Liu Y, Kang Y, Luo R, Zhang X. Evaluation index system of education quality for nursing professional degree postgraduate using the analytic hierarchy process. Medicine 2021;100(47):e27771 View
  66. Williamson C, White K, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. Smartphone-Based Alcohol Interventions: A Systematic Review on the Role of Notifications in Changing Behaviors toward Alcohol. Substance Abuse 2022;43(1):1231 View
  67. Buss V, Varnfield M, Harris M, Barr M. A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study. JMIR Human Factors 2022;9(2):e35065 View
  68. Lee C, Hsiung Y, Chi L, Huang J, Chen H. “Help me fight my constant battle”: A focus group study of overweight and obese women's mHealth app experiences to manage gestational weight gain. Midwifery 2023;116:103552 View
  69. Poulton A, Dali G, McGinness C, Clarke S, Turner T, Liu J, Giggins J, Marcuson R, Hester R. Impact of personalized alcohol intake and cognitive feedback on alcohol use behavior in hazardous drinkers: A quasi‐randomized trial. Alcohol: Clinical and Experimental Research 2023;47(7):1377 View
  70. Gainforth H, Dineen T, Giroux E, Forneris T. Teaching Behavior Change Theory in Canada: Establishing Consensus on Behavior Change Theories That Are Recommended to Be Taught to Undergraduate Students in Courses Addressing Health Behavior Change. Pedagogy in Health Promotion 2021;7(1):51 View
  71. Milne-Ives M, Homer S, Andrade J, Meinert E. Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review. Frontiers in Psychology 2023;14 View
  72. Gueta K, Harel-Fisch Y, Walsh S. Cultural accommodation of internet-based interventions for substance use and related disorders: a proposed comprehensive framework based on a pilot study and a literature review. Frontiers in Psychology 2023;14 View
  73. Binkowska A, Obarska K, Marcowski P, Szymczak K, Lewczuk K, Sollich K, Banaszak M, Woronowicz B, Nowicka M, Skorko M, Gola M. Evaluating the effectiveness of mobile app-based self-guided psychological intervention to reduce craving and lapse risk in problematic substance use and behaviors: Protocol for a randomized control trial in the general population. Contemporary Clinical Trials Communications 2023;36:101180 View
  74. 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
  75. Burgermaster M, Desai P, Heitkemper E, Juul F, Mitchell E, Turchioe M, Albers D, Levine M, Larson D, Mamykina L. Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. Journal of Biomedical Informatics 2023;144:104419 View
  76. Bendtsen M, Åsberg K, McCambridge J. Mediators of effects of a digital alcohol intervention for online help-seekers: Findings from an effectiveness trial. Drug and Alcohol Dependence 2023;251:110957 View
  77. Mehta G, Lin S, Nadar A, PV B, Kumar R, Balaji A, Macdonald S, Sheikh M, Saeidinejad M, Sharma S, King J, Mookerjee R, McDonagh L, Afuwape S, Moore K, Jalan R. AlcoChange: A digital therapeutic for patients with alcohol-related liver disease. JHEP Reports 2024;6(4):100993 View
  78. Oldham M, Beard E, Loebenberg G, Dinu L, Angus C, Burton R, Field M, Greaves F, Hickman M, Kaner E, Michie S, Munafò M, Pizzo E, Brown J, Garnett C. Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial. eClinicalMedicine 2024;70:102534 View
  79. Hindman J, Zugai J, Raeburn T. Digital applications potential to support the mental well-being of nurses: an integrative review. Mental Health and Digital Technologies 2024 View

Books/Policy Documents

  1. Cooke R, Conroy D, Hagger M. The Palgrave Handbook of Psychological Perspectives on Alcohol Consumption. View
  2. Dugdale S, Semper H. Digital Innovations for Mental Health Support. View