Initial prototype testing of Ray's Night Out: A new mobile app targeting risky drinking in young people

Background Risky single occasion drinking (RSOD; ≥4 drinks in <6 h) more than doubles the risk of injury in young people (15–25 years). The potential role of smartphone apps in reducing RSOD in young people is yet to be explored. Objective To describe the initial prototype testing of ‘Ray's Night Out’, a new iPhone app targeting RSOD in young people. Method Quantitative and qualitative methods were used to evaluate the quality, perceived utility, and acceptability of the app among nine young people (19–23 years). Results Participants reported Ray's Night Out had good to excellent levels of functionality and visual appeal, acceptable to good levels of entertainment, interest and information, and acceptable levels of customization and interactivity. Young people thought the app had high levels of youth appeal, would prompt users to think about their alcohol use limits, but was unlikely to motivate a change in alcohol use in its current form. Qualitative data provided several suggestions for improving the app. Conclusion Following revision, Ray's Night Out could provide an effective intervention for RSOD in non help-seeking young people. A randomized controlled trial is currently underway to test the final prototype of the app.

[1]  Nicholas Ladany,et al.  Consensual Qualitative Research: An Update , 2005 .

[2]  Maristela Monteiro,et al.  AUDIT - The alcohol use disorders identification test: guidelines for use in primary care. , 2001 .

[3]  Amy M. Cohn,et al.  Promoting behavior change from alcohol use through mobile technology: the future of ecological momentary assessment. , 2011, Alcoholism, clinical and experimental research.

[4]  Oksana Zelenko Design and ethics in digital mental health promotion , 2012 .

[5]  B. Grant,et al.  Effectiveness of the derived Alcohol Use Disorders Identification Test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population. , 2005, Alcoholism, clinical and experimental research.

[6]  C. Hill,et al.  A Guide to Conducting Consensual Qualitative Research , 1997 .

[8]  Lake-Hui Quek,et al.  Effect of the increase in “alcopops” tax on alcohol‐related harms in young people: a controlled interrupted time series , 2011, The Medical journal of Australia.

[9]  T. Bjarnason,et al.  The 2011 ESPAD report: substance use among students in 36 European countries. , 2012 .

[10]  Matt Stevenson,et al.  Alcohol Use Disorders Identification Test , 2010 .

[11]  Bonnie S. LeRoy,et al.  A Qualitative Investigation of Student and Supervisor Perceptions of Live Supervision in Genetic Counseling , 2002, Journal of Genetic Counseling.

[12]  Helene Raskin White,et al.  Rutgers Alcohol Problem Index , 2011 .

[13]  Chris Wood,et al.  Infusing Qualitative Traditions in Counseling Research Designs , 2011 .

[14]  Jari Salo,et al.  Consumer Acceptance of Electronic Reading Devices , 2013, J. Inf. Technol. Res..

[15]  Oksana Zelenko,et al.  Empowering children as participants in designing resilience strengthening online tools , 2008 .

[16]  Francisco J. García-Peñalvo,et al.  ICTs integration in education: mobile learning and the technology acceptance model (TAM) , 2014, TEEM '14.

[17]  Oksana Zelenko,et al.  Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps , 2015, JMIR mHealth and uHealth.

[18]  David C. Yen,et al.  Determinants of users' intention to adopt wireless technology: An empirical study by integrating TTF with TAM , 2010, Comput. Hum. Behav..

[19]  Leanne Hides Are SMARTapps the future of youth mental health , 2014 .

[20]  Michael Livingston,et al.  Recent trends in risky alcohol consumption and related harm among young people in Victoria, Australia , 2008, Australian and New Zealand journal of public health.