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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) Mobile Health (mhealth) (2982) Quality/Credibility of eHealth Information and Trust Issues (544) Medicine 2.0'13 London (Full Paper of Conference Presentation) (30) Medicine 2.0'13 (London) (23) Alcohol Abuse, Alcoholism Prevention and Recovery (303)
“Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications

“Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications

“Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications

Authors of this article:

Emma R Weaver1 ;   Danielle R Horyniak1, 2 ;   Rebecca Jenkinson1 ;   Paul Dietze1, 2 ;   Megan SC Lim1, 2
Article Authors Cited by (83) Tweetations (13) Metrics

Journals

  1. Luczak S, Rosen I, Wall T. Development of a Real-Time Repeated-Measures Assessment Protocol to Capture Change over the Course of a Drinking Episode. Alcohol and Alcoholism 2015;50(2):180 View
  2. 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
  3. Dragovic M, Davison S, Morgan V, Chiu V, Richards N, Vatskalis T, Atkinson A, Waters F. ‘Validated, easy to use and free’: top three requests for mobile device applications (‘apps’) from mental health consumers and clinicians. Advances in Mental Health 2020;18(2):106 View
  4. Berman A, Molander O, Tahir M, Törnblom P, Gajecki M, Sinadinovic K, Andersson C. Reducing Risky Alcohol Use via Smartphone App Skills Training Among Adult Internet Help-Seekers: A Randomized Pilot Trial. Frontiers in Psychiatry 2020;11 View
  5. McKay J. The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders. Current Behavioral Neuroscience Reports 2015;2(1):23 View
  6. Hoeppner B, Schick M, Kelly L, Hoeppner S, Bergman B, Kelly J. There is an app for that – Or is there? A content analysis of publicly available smartphone apps for managing alcohol use. Journal of Substance Abuse Treatment 2017;82:67 View
  7. Gajecki M, Andersson C, Rosendahl I, Sinadinovic K, Fredriksson M, Berman A. Skills Training via Smartphone App for University Students with Excessive Alcohol Consumption: a Randomized Controlled Trial. International Journal of Behavioral Medicine 2017;24(5):778 View
  8. Tofighi B, Chemi C, Ruiz-Valcarcel J, Hein P, Hu L. Smartphone Apps Targeting Alcohol and Illicit Substance Use: Systematic Search in in Commercial App Stores and Critical Content Analysis. JMIR mHealth and uHealth 2019;7(4):e11831 View
  9. McKay F, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130 View
  10. Avis J, van Mierlo T, Fournier R, Ball G. Lessons Learned From Using Focus Groups to Refine Digital Interventions. JMIR Research Protocols 2015;4(3):e95 View
  11. Sawares A, Shen N, Xue Y, Abi-Jaoude A, Wiljer D. The Impact of Mobile Apps on Alcohol Use Disorder: A Systematic Review Protocol. JMIR Research Protocols 2017;6(4):e49 View
  12. Sharpe J, Zhou Z, Escobar-Viera C, Morano J, Lucero R, Ibañez G, Hart M, Cook C, Cook R. Interest in using Mobile Technology to Help Self-Manage Alcohol use among Persons Living with the Human Immunodeficiency Virus: A Florida Cohort Cross-Sectional Study. Substance Abuse 2018;39(1):77 View
  13. Piasecki T. Assessment of Alcohol Use in the Natural Environment. Alcoholism: Clinical and Experimental Research 2019;43(4):564 View
  14. Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews. JMIR mHealth and uHealth 2016;4(2):e47 View
  15. Zhang M, Ho R. Tapping onto the Potential of Smartphone Applications for Psycho-Education and Early Intervention in Addictions. Frontiers in Psychiatry 2016;7 View
  16. Wright C, Schwarzman J, Dietze P, Crockett B, Lim M. Barriers and opportunities in the translation of mobile phone and social media interventions between research and health promotion practice in Australia: a qualitative study of expert perspectives. Health Research Policy and Systems 2019;17(1) View
  17. Liang D, Han H, Du J, Zhao M, Hser Y. A pilot study of a smartphone application supporting recovery from drug addiction. Journal of Substance Abuse Treatment 2018;88:51 View
  18. Klingemann H, Flückiger M, Bongard T, Büchi M, Carrara M. Design and Content Quality of Alcohol-Related German, French and Italian Self-Tracking Applications. Substance Use & Misuse 2020;55(5):851 View
  19. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65 View
  20. Hutton A, Whitehead D, Ullah S. Can positive faith-based encounters influence Australian young people’s drinking behaviours?. Health Education Journal 2017;76(4):423 View
  21. Bailey J, Mann S, Wayal S, Hunter R, Free C, Abraham C, Murray E. Sexual health promotion for young people delivered via digital media: a scoping review. Public Health Research 2015;3(13):1 View
  22. Zhang M, Ho R. The alcohol self-management smartphone application: an evidence-based approach. BMJ Innovations 2015:bmjinnov-2015-000057 View
  23. Ramo D, Popova L, Grana R, Zhao S, Chavez K. Cannabis Mobile Apps: A Content Analysis. JMIR mHealth and uHealth 2015;3(3):e81 View
  24. Akbar S, Coiera, E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. Journal of the American Medical Informatics Association 2020;27(2):330 View
  25. 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
  26. Wyatt J. How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?. BMC Medicine 2018;16(1) View
  27. Zhang M, Wing T, Fung D, Smith H. Enhancing the Quality and Utility of Content Analyses for Addictive Disorders. International Journal of Environmental Research and Public Health 2018;15(7):1389 View
  28. Moreno M, Whitehill J. #Wasted: the intersection of substance use behaviors and social media in adolescents and young adults. Current Opinion in Psychology 2016;9:72 View
  29. Barrio P, Ortega L, López H, Gual A. Self-management and Shared Decision-Making in Alcohol Dependence via a Mobile App: a Pilot Study. International Journal of Behavioral Medicine 2017;24(5):722 View
  30. Huang E, Williams H, Hocking J, Lim M. Safe Sex Messages Within Dating and Entertainment Smartphone Apps: A Review. JMIR mHealth and uHealth 2016;4(4):e124 View
  31. Crane D, Garnett C, Brown J, West R, Michie S. Behavior Change Techniques in Popular Alcohol Reduction Apps. Journal of Medical Internet Research 2015;17(5):e118 View
  32. Berman A, Gajecki M, Fredriksson M, Sinadinovic K, Andersson C. Mobile Phone Apps for University Students With Hazardous Alcohol Use: Study Protocol for Two Consecutive Randomized Controlled Trials. JMIR Research Protocols 2015;4(4):e139 View
  33. Critchlow N, Moodie C, Bauld L, Bonner A, Hastings G. Awareness of, and participation with, user-created alcohol promotion, and the association with higher-risk drinking in young adults. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2017;11(2) View
  34. Mellentin A, Stenager E, Nielsen B, Nielsen A, Yu F. A Smarter Pathway for Delivering Cue Exposure Therapy? The Design and Development of a Smartphone App Targeting Alcohol Use Disorder. JMIR mHealth and uHealth 2017;5(1):e5 View
  35. Hansson K, Johansson B, Andersson C, Rastam M, Eberhard S. Issues in Child and Adolescent Inpatient Assessment and Evaluation After Discharge: Protocol for App Development and a Randomized Controlled Trial. JMIR Research Protocols 2018;7(11):e10121 View
  36. Colbert S, Thornton L, Richmond R. Smartphone apps for managing alcohol consumption: a literature review. Addiction Science & Clinical Practice 2020;15(1) View
  37. Wright C, Dietze P, Crockett B, Lim M. Participatory development of MIDY (Mobile Intervention for Drinking in Young people). BMC Public Health 2016;16(1) View
  38. Shen N, Levitan M, Johnson A, Bender J, Hamilton-Page M, Jadad A, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16 View
  39. Carpenter S, Menictas M, Nahum-Shani I, Wetter D, Murphy S. Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Current Addiction Reports 2020;7(3):280 View
  40. 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
  41. Barrio P, Ortega L, Bona X, Gual A. Development, Validation, and Implementation of an Innovative Mobile App for Alcohol Dependence Management: Protocol for the SIDEAL Trial. JMIR Research Protocols 2016;5(1):e27 View
  42. Zhang M, Ward J, Ying J, Pan F, Ho R. The alcohol tracker application: an initial evaluation of user preferences. BMJ Innovations 2016;2(1):8 View
  43. McKay F, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22 View
  44. Gajecki M, Berman A, Sinadinovic K, Rosendahl I, Andersson C. Mobile phone brief intervention applications for risky alcohol use among university students: a randomized controlled study. Addiction Science & Clinical Practice 2014;9(1) View
  45. Meng Z, Xiong Y, Huang W, Qin L, Jin X, Yan H. AppScalpel: Combining static analysis and outlier detection to identify and prune undesirable usage of sensitive data in Android applications. Neurocomputing 2019;341:10 View
  46. Murray E, Hekler E, Andersson G, Collins L, Doherty A, Hollis C, Rivera D, West R, Wyatt J. Evaluating Digital Health Interventions. American Journal of Preventive Medicine 2016;51(5):843 View
  47. Leightley D, Puddephatt J, Goodwin L, Rona R, Fear N. InDEx: Open Source iOS and Android Software for Self-Reporting and Monitoring of Alcohol Consumption. Journal of Open Research Software 2018;6(1):13 View
  48. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  49. Berman A, Gajecki M, Sinadinovic K, Andersson C. Mobile Interventions Targeting Risky Drinking Among University Students: A Review. Current Addiction Reports 2016;3(2):166 View
  50. 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
  51. 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
  52. Critchlow N, MacKintosh A, Hooper L, Thomas C, Vohra J. Participation with alcohol marketing and user-created promotion on social media, and the association with higher-risk alcohol consumption and brand identification among adolescents in the UK. Addiction Research & Theory 2019;27(6):515 View
  53. Milward J, Deluca P, Drummond C, Watson R, Dunne J, Kimergård A. Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults. JMIR mHealth and uHealth 2017;5(8):e109 View
  54. Hughes C, Moxham-Hall V. The Going Out In Sydney App: Evaluating the Utility of a Smartphone App for Monitoring Real-World Illicit Drug Use and Police Encounters Among Festival and Club Goers. Substance Abuse: Research and Treatment 2017;11 View
  55. Hutton A, Prichard I, Whitehead D, Thomas S, Rubin M, Sloand E, Powell T, Frisch K, Newman P, Goodwin Veenema T. mHealth Interventions to Reduce Alcohol Use in Young People: A Systematic Review of the Literature. Comprehensive Child and Adolescent Nursing 2020;43(3):171 View
  56. Zhang M, Fang P, Ho R. Global outreach and user preferences of a smartphone application developed for drinkers. Technology and Health Care 2016;24(4):495 View
  57. Ross S. Policy, practice and regulatory issues in mobile technology treatment for forensic clients. European Journal of Probation 2018;10(1):44 View
  58. Meacham M, Vogel E, Thrul J. Vaping-Related Mobile Apps Available in the Google Play Store After the Apple Ban: Content Review. Journal of Medical Internet Research 2020;22(11):e20009 View
  59. Ghassemlou S, Marini C, Chemi C, Ranjit Y, Tofighi B. Harmful smartphone applications promoting alcohol and illicit substance use: a review and content analysis in the United States. Translational Behavioral Medicine 2020;10(5):1233 View
  60. Garett R, Young S. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors. AIDS and Behavior 2021;25(S3):333 View
  61. 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
  62. Penzenstadler L, Chatton A, Van Singer M, Khazaal Y. Quality of Smartphone Apps Related to Alcohol Use Disorder. European Addiction Research 2016;22(6):329 View
  63. Mubin O, Cai B, Al Mahmud A, Kharub I, Lwin M, Khan A. A Preliminary Evaluation of Mobile Phone Apps to Curb Alcohol Consumption. International Journal of Environmental Research and Public Health 2021;19(1):135 View
  64. Wiemker V, Neufeld M, Bunova A, Danquah I, Ferreira-Borges C, Konigorski S, Rastogi A, Probst C. Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review. Journal of Medical Internet Research 2022;24(3):e28927 View
  65. 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
  66. Tan Y, Woulfe F, Chirambo G, Henn P, Cilliers L, Fadahunsi K, Taylor-Robinson S, O'Donoghue J. Framework to assess the quality of mHealth apps: a mixed-method international case study protocol. BMJ Open 2022;12(10):e062909 View
  67. Wood M, Ross S, Johns D. Primary Crime Prevention Apps: A Typology and Scoping Review. Trauma, Violence, & Abuse 2022;23(4):1093 View
  68. Pedersen E, Hummer J, Davis J, Fitzke R, Christie N, Witkiewitz K, Clapp J. A mobile-based pregaming drinking prevention intervention for college students: study protocol for a randomized controlled trial. Addiction Science & Clinical Practice 2022;17(1) View
  69. Khan A, Amin I, Sanders G, Imani S, Haffeez A, Khan A, Khan F, Siow Y. Using Mhealth as an Intervention for the Management of Alcohol Consumption - A Systematic Review and Market Analysis of Mobile Applications. SSRN Electronic Journal 2022 View
  70. Liu Y, McCarthy E, Ngo L. Predicting Breast Cancer Mortality in the Presence of Competing Risks Using Smartphone Application Development Software. International Journal of Statistics in Medical Research 2015;4(4):322 View
  71. 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
  72. Podéus H, Simonsson C, Nasr P, Ekstedt M, Kechagias S, Lundberg P, Lövfors W, Cedersund G. A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth. npj Digital Medicine 2024;7(1) View
  73. Edwards E, Lumsden J, Rivas C, Steed L, Edwards L, Thiyagarajan A, Sohanpal R, Caton H, Griffiths C, Munafò M, Taylor S, Walton R. Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. BMJ Open 2016;6(10):e012447 View
  74. Wilson S, Lavoie H, Berey B, Frohe T, Rowland B, Hone L, Leeman R. Exploratory analysis of blood alcohol concentration‐related technology use and drinking outcomes among young adults. Alcohol, Clinical and Experimental Research 2024;48(11):2188 View
  75. Mackey C, Sibik G, Szydlowski V, Blayney J, Lee C, Larimer M, Hultgren B. Discovering what young adults want in electronic interventions aimed at reducing alcohol‐related consequences. Alcohol, Clinical and Experimental Research 2024;48(11):2145 View
  76. Bartsch A, Neuberger C, Stark B, Karnowski V, Maurer M, Pentzold C, Quandt T, Quiring O, Schemer C. Epistemic authority in the digital public sphere. An integrative conceptual framework and research agenda. Communication Theory 2024 View
  77. Searby A, Burr D. Determining the Acceptability of Targeted Apps for High-Risk Alcohol Consumption in Nurses: A Qualitative Study. Issues in Mental Health Nursing 2024:1 View

Books/Policy Documents

  1. Cukier S, Wettlaufer A. Preventing Alcohol-Related Problems: Evidence and Community-Based Initiatives. View
  2. Morgan G, Fiore M. Oncology Informatics. View
  3. Khazaal Y. Traité de Réhabilitation Psychosociale. View