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Published on 29.06.15 in Vol 3, No 2 (2015): Apr-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3895):

(note that this is only a small subset of citations)

  1. Romeo A, Edney S, Plotnikoff R, Curtis R, Ryan J, Sanders I, Crozier A, Maher C. Can smartphone apps increase physical activity? a systematic review and meta-analysis (Preprint). Journal of Medical Internet Research 2018;
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  2. Leightley D, Puddephatt J, Jones N, Mahmoodi T, Chui Z, Field M, Drummond C, Rona RJ, Fear NT, 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
    CrossRef
  3. Anderson P, Jané-Llopis E, Hasan OSM, Rehm J. City-based action to reduce harmful alcohol use: review of reviews. F1000Research 2018;7:120
    CrossRef
  4. Winters-Stone KM, Kenfield SA, Van Blarigan EL, Moe EL, Ramsdill JW, Daniel K, Macaire G, Paich K, Kessler ER, Kucuk O, Gillespie TW, Lyons KS, Beer TM, Broering JM, Carroll PR, Chan JM. 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
    CrossRef
  5. 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
    CrossRef
  6. Choo CC, Burton AAD. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18
    CrossRef
  7. 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 2018;
    CrossRef
  8. Anderson P, Jané-Llopis E, Hasan OSM, Rehm J. City-based action to reduce harmful alcohol use: review of reviews. F1000Research 2018;7:120
    CrossRef
  9. 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
    CrossRef
  10. 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)
    CrossRef
  11. Kazemi DM, Borsari B, Levine MJ, Lamberson KA, 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
    CrossRef
  12. Carmody JK, Denson LA, Hommel KA. Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics. Journal of Pediatric Psychology 2018;
    CrossRef
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. Garnett CV, Crane D, Brown J, Kaner EFS, Beyer FR, Muirhead CR, 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
    CrossRef
  16. Mastroleo NR, Celio MA, Barnett NP, Colby SM, Kahler CW, Operario D, Suffoletto BP, Monti PM. 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 2018;:1
    CrossRef
  17. Lau Y, Cheng LJ, Chi C, Tsai C, Ong KW, Ho-Lim SST, 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
    CrossRef
  18. Gorwood P. L’apport du numérique en santé mentale : beaucoup d’espoir, quelques inquiétudes. Soins Psychiatrie 2017;38(311):12
    CrossRef
  19. Wright CJC, Dietze PM, Lim MSC. 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
    CrossRef
  20. Perski O, Blandford A, Ubhi HK, 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)
    CrossRef
  21. Roberts AL, Fisher A, Smith L, Heinrich M, Potts HWW. 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
    CrossRef
  22. Attwood S, Parke H, Larsen J, Morton KL. 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)
    CrossRef
  23. 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
    CrossRef
  24. 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
    CrossRef
  25. 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)
    CrossRef
  26. Wilson H, Stoyanov SR, 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
    CrossRef
  27. Suffoletto B, Kristan J, Person Mecca L, Chung T, Clark DB. Optimizing a Text Message Intervention to Reduce Heavy Drinking in Young Adults: Focus Group Findings. JMIR mHealth and uHealth 2016;4(2):e73
    CrossRef
  28. O⿿Rourke L, Humphris G, Baldacchino A. Electronic communication based interventions for hazardous young drinkers: A systematic review. Neuroscience & Biobehavioral Reviews 2016;68:880
    CrossRef
  29. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6
    CrossRef
  30. 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
    CrossRef