Behavior change techniques in popular alcohol reduction apps: Content analysis

Journal of Medical Internet Research

Volumn 17, Issue 5, 2015, Pages

  Crane, David ^a   Garnett, Claire ^a   Brown, James ^a   West, Robert ^a   Michie, Susan ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Alcohol; Android; Apps; Behaviour change; Digital; Intervention; Iphone; Mhealth; Smartphone

Indexed keywords

BEHAVIOR THERAPY; DRINKING BEHAVIOR; HEALTH BEHAVIOR; HUMAN; MALE; MOBILE APPLICATION; MOBILE PHONE; PROCEDURES; TELEMEDICINE;

ALCOHOL DRINKING; BEHAVIOR THERAPY; CELL PHONES; HEALTH BEHAVIOR; HUMANS; MALE; MOBILE APPLICATIONS; TELEMEDICINE;

EID: 84930356096     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.4060     Document Type: Article

References (58)

1. World Health Organization. 2014. Global status report on alcohol and health 2014 URL: http://apps.who.int/iris/handle/ 10665/112736 [accessed 2014-11-19] [WebCite Cache ID 6UCfC9sLy]
2. Kaner EFS, Beyer F, Dickinson HO, Pienaar E, Campbell F, Schlesinger C, et al. Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database Syst Rev 2007(2):CD004148. [10.1002/14651858.CD004148.pub3]
3. Gaume J, McCambridge J, Bertholet N, Daeppen JB. Mechanisms of action of brief alcohol interventions remain largely unknown - a narrative review. Front Psychiatry 2014;5:108 [FREE Full text] [10.3389/fpsyt.2014.00108]
4. Kaner E. Brief alcohol intervention: time for translational research. Addiction 2010 Jun;105(6):960-1; discussion 964. [10.1111/j.1360-0443.2009.02848.x]
5. Heather N, Dallolio E, Hutchings D, Kaner E, White M. Implementing routine screening and brief alcohol intervention in primary health care: A Delphi survey of expert opinion. J Subst Use 2004 Jan;9(2):68-85. [10.1080/14659890410001665014]
6. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health 2009 Apr;15(3):231-240. [10.1089/tmj.2008.0099]
7. Patrick K, Griswold WG, Raab F, Intille SS. Health and the mobile phone. Am J Prev Med 2008 Aug;35(2):177-181 [FREE Full text] [10.1016/j.amepre.2008.05.001]
8. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med 2011 Mar;1(1):53-71 [FREE Full text] [10.1007/s13142-011-0021-7]
9. Aitken M. Patient Apps for Improved Healthcare From Novelty to Mainstream. 2013. URL: http://www.imshealth.com/ deployedfiles/imshealth/Global/Content/Corporate/IMS%20Health%20Institute/Reports/Patient-Apps/ IIHI-Patient-Apps-Report.pdf [accessed 2014-11-19] [WebCite Cache ID 6UCfRASkg]
10. Fox S, Duggan M. Pew Internet Project. 2012. Mobile health 2012 URL: http://www.pewinternet.org/files/old-media/ /Files/Reports/2012/PIP-MobileHealth2012-FINAL.pdf [accessed 2014-11-19] [WebCite Cache ID 6UCfUGKuk]
11. research2guidance. 2013. Mobile Health Market Report 2013-2017 URL: http://www.research2guidance.com/shop/index.php/ downloadable/download/sample/sample-id/262/ [accessed 2014-11-19] [WebCite Cache ID 6UCfWCLqe]
12. Our Mobile Planet - Smartphone penetration 18-24 and 55+. URL: http://bit.ly/1zU0iMR [accessed 2015-01-27] [WebCite Cache ID 6VthJuHFJ]
13. Bastawrous A, Armstrong MJ. Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature. J R Soc Med 2013 Apr;106(4):130-142. [10.1177/0141076812472620]
14. Abroms LC, Lee WJ, Bontemps-Jones J, Ramani R, Mellerson J. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med 2013 Dec;45(6):732-736 [FREE Full text] [10.1016/j.amepre.2013.07.008]
15. Azar KMJ, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med 2013 Nov;45(5):583-589. [10.1016/j.amepre.2013.07.005]
16. Breton ER, Fuemmeler BF, Abroms LC. Weight loss-there is an app for that! But does it adhere to evidence-informed practices? Transl Behav Med 2011 Dec;1(4):523-529 [FREE Full text] [10.1007/s13142-011-0076-5]
17. Pagoto S, Schneider K, Jojic M, DeBiasse M, Mann D. Evidence-based strategies in weight-loss mobile apps. Am J Prev Med 2013 Nov;45(5):576-582. [10.1016/j.amepre.2013.04.025]
18. Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res 2011;13(3):e65 [FREE Full text] [10.2196/jmir.1874]
19. Cowan LT, Van Wagenen SA, Brown BA, Hedin RJ, Seino-Stephan Y, Hall PC, et al. Apps of steel: are exercise apps providing consumers with realistic expectations?: a content analysis of exercise apps for presence of behavior change theory. Health Educ Behav 2013 Apr;40(2):133-139. [10.1177/1090198112452126]
20. Schoffman DE, Turner-McGrievy G, Jones SJ, Wilcox S. Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? Transl Behav Med 2013 Sep;3(3):320-325 [FREE Full text] [10.1007/s13142-013-0206-3]
21. Mobasheri MH, Johnston M, King D, Leff D, Thiruchelvam P, Darzi A. Smartphone breast applications - what's the evidence? Breast 2014 Oct;23(5):683-689. [10.1016/j.breast.2014.07.006]
22. Wolf JA, Moreau JF, Akilov O, Patton T, English JC, Ho J, et al. Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol 2013 Apr;149(4):422-426 [FREE Full text] [10.1001/jamadermatol.2013.2382]
23. Evenstad L. ehealth Insid. NHS England moves to regulate apps URL: http://www.ehi.co.uk/news/ehi/9016/ nhs-england-moves-to-regulate-Apps [accessed 2014-11-19] [WebCite Cache ID 6UCfZEMYV]
24. FDA. Mobile Medical Applications. Draft Guidance for Industry and Food and Drug Administration Staff URL: http:/ /www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/ConnectedHealth/MobileMedicalApplications/ucm255978. htm [accessed 2014-08-30] [WebCite Cache ID 6UCfho1rp]
25. Weaver ER, Horyniak DR, Jenkinson R, Dietze P, Lim MS. "Let's get Wasted!" and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications. JMIR Mhealth Uhealth 2013;1(1):e9 [FREE Full text] [10.2196/mhealth.2709]
26. Cohn AM, Hunter-Reel D, Hagman BT, Mitchell J. Promoting behavior change from alcohol use through mobile technology: the future of ecological momentary assessment. Alcohol Clin Exp Res 2011 Dec;35(12):2209-2215 [FREE Full text] [10.1111/j.1530-0277.2011.01571.x]
27. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013 Aug;46(1):81-95. [10.1007/s12160-013-9486-6]
28. Michie S, Abraham C, Eccles MP, Francis JJ, Hardeman W, Johnston M. Strengthening evaluation and implementation by specifying components of behaviour change interventions: a study protocol. Implement Sci 2011;6:10 [FREE Full text] [10.1186/1748-5908-6-10]
29. Michie S, Johnston M. Behavior change techniques. In: Gellman M, editor. Encyclopedia of Behavioral Medicine. New York, NY: Springer-Verlag; 2011.
30. Michie S, Whittington C, Hamoudi Z, Zarnani F, Tober G, West R. Identification of behaviour change techniques to reduce excessive alcohol consumption. Addiction 2012 Aug;107(8):1431-1440. [10.1111/j.1360-0443.2012.03845.x]
31. Direito A, Dale LP, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health 2014;14:646 [FREE Full text] [10.1186/1471-2458-14-646]
32. Conroy DE, Yang CH, Maher JP. Behavior change techniques in top-ranked mobile apps for physical activity. Am J Prev Med 2014 Jun;46(6):649-652. [10.1016/j.amepre.2014.01.010]
33. Comstock J. mobihealthnews. One third of docs recommended a health app to patients URL: http://mobihealthnews.com/ 33594/survey-one-third-of-docs-recommended-A-health-App-to-patients/ [accessed 2014-11-19] [WebCite Cache ID 6UCfqvHrn]
34. The Value of Google Result Positioning. 2013. Chitika URL: http://chitika.com/google-positioning-value [accessed 2014-11-19] [WebCite Cache ID 6UCftipF5]
35. Flurry Insights. The History of App Pricing, And Why Most Apps Are Free URL: http://www.flurry.com/bid/99013/ The-History-of-App-Pricing-And-Why-Most-Apps-Are-Free [accessed 2014-11-19] [WebCite Cache ID 6UCfwCpMz]
36. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977 Mar;33(1):159-174. [Medline: 843571]
37. Abraham C, Wood CE, Johnston M, Francis J, Hardeman W, Richardson M. Reliability of identification of behavior change techniques (BCTs) defined by the "BCT Taxonomy version 1" (BCTTv1) in intervention descriptions. Annals of Behavioral Medicine 2015:- (forthcoming)
38. Miller E. evanmiller. How Not To Sort By Average Rating URL: http://www.evanmiller.org/ how-not-to-sort-by-Average-rating.html [accessed 2014-11-19] [WebCite Cache ID 6UCg01U08]
39. reddits new comment sorting system. URL: http://www.redditblog.com/2009/10/reddits-new-comment-sorting-system. html [accessed 2014-11-19] [WebCite Cache ID 6UCg1zHDP]
40. Yelp Official Blog: The Most Romantic City on Yelp is.... Yelp. 2011. URL: http://officialblog.yelp.com/2011/02/ the-most-romantic-city-on-yelp-is.html [accessed 2014-11-19] [WebCite Cache ID 6UCg27ISr]
41. Byrt T, Bishop J, Carlin JB. Bias, prevalence and kappa. J Clin Epidemiol 1993 May;46(5):423-429
42. Albarracn D, Gillette JC, Earl AN, Glasman LR, Durantini MR, Ho MH. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychol Bull 2005 Nov;131(6):856-897 [FREE Full text] [10.1037/0033-2909.131.6.856]
43. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, Medical Research Council Guidance. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 2008;337:a1655 [FREE Full text]
44. Carver CS, Scheier MF. Control theory: a useful conceptual framework for personality-social, clinical, and health psychology. Psychol Bull 1982 Jul;92(1):111-135
45. Dombrowski SU, Sniehotta FF, Avenell A, Johnston M, MacLennan G, Arajo-Soares V. Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: a systematic review. Health Psychology Review 2012 Mar;6(1):7-32. [10.1080/17437199.2010.513298]
46. Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev 2012;6:CD000259. [10.1002/14651858.CD000259.pub3]
47. Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol 2009 Nov;28(6):690-701. [10.1037/a0016136]
48. Higgins ET. Making a good decision: value from fit. Am Psychol 2000 Nov;55(11):1217-1230.
49. Wright PM, Kacmar KM. Goal specificity as a determinant of goal commitment and goal change. Organizational Behavior and Human Decision Processes 1994;59:242-260.
50. Michie S, Jochelson K, Markham WA, Bridle C. Low-income groups and behaviour change interventions: a review of intervention content, effectiveness and theoretical frameworks. J Epidemiol Community Health 2009 Aug;63(8):610-622. [10.1136/jech.2008.078725]
51. Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-Analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res 2010;12(1):e4 [FREE Full text] [10.2196/jmir.1376]
52. Neighbors C, Larimer ME, Lewis MA. Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention. J Consult Clin Psychol 2004 Jun;72(3):434-447. [10.1037/0022-006X.72.3.434]
53. Doumas DM, Hannah E. Preventing high-risk drinking in youth in the workplace: a web-based normative feedback program. J Subst Abuse Treat 2008 Apr;34(3):263-271. [10.1016/j.jsat.2007.04.006]
54. Linke S, McCambridge J, Khadjesari Z, Wallace P, Murray E. Development of a psychologically enhanced interactive online intervention for hazardous drinking. Alcohol Alcohol 2008;43(6):669-674 [FREE Full text] [10.1093/alcalc/agn066]
55. Hassenzahl M, Tractinsky N. User experience - a research agenda. Behaviour & Information Technology 2006 Mar;25(2):91-97. [10.1080/01449290500330331]
56. Voils CI, King HA, Maciejewski ML, Allen KD, Yancy WS, Shaffer JA. Approaches for informing optimal dose of behavioral interventions. Ann Behav Med 2014 Dec;48(3):392-401. [10.1007/s12160-014-9618-7]
57. Rodrigues F, Lorencatto F. University College London. Translating Evidence into Practice : Behavioural Support for Smoking Cessation. University College London; 2013.
58. Eysenbach G. The law of attrition. J Med Internet Res 2005;7(1):e11 [FREE Full text] [10.2196/jmir.7.1.e11]