A Systematic Review of the mHealth Interventions to Prevent Alcohol and Substance Abuse

References

• Agyapong, V. I., Ahern, S., McLoughlin, D. M., & Farren, C. K. (2012). Supportive text messaging for depression and comorbid alcohol use disorder: Single-blind randomised trial. Journal of Affective Disorders, 141 (2–3), 168–176. doi:10.1016/j.jad.2012.02.040
   PubMed Web of Science ®Google Scholar
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). Heidelberg, Germany: Springer.
   Google Scholar
• Alberani, V., De Castro Pietrangeli, P., & Mazza, A. M. (1990). The use of grey literature in health sciences: A preliminary survey. Bulletin of the Medical Library Association, 78 (4), 358–363.
   PubMedGoogle Scholar
• Bakken, S., Jia, H., Chen, E. S., Choi, J., John, R. M., Lee, N. J., … Currie, L. M. (2014). The effect of a mobile health decision support system on diagnosis and management of obesity, tobacco use, and depression in adults and children. The Journal for Nurse Practitioners, 10 (10), 774–780. doi:10.1016/j.nurpra.2014.07.017
   Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bernhardt, J. M., Usdan, S., Mays, D., Martin, R., Cremeens, J., & Arriola, K. J. (2009). Alcohol assessment among college students using wireless mobile technology. Journal of Studies on Alcohol and Drugs, 70 (5), 771–775. doi:10.15288/jsad.2009.70.771
   PubMed Web of Science ®Google Scholar
• Bewick, B. M., Trusler, K., Barkham, M., Hill, A. J., Cahill, J., & Mulhern, B. (2008). The effectiveness of web-based interventions designed to decrease alcohol consumption—A systematic review. Preventive Medicine, 47 (1), 17–26. doi:10.1016/j.ypmed.2008.01.005
   PubMed Web of Science ®Google Scholar
• Bingham, C. R., Barretto, A. I., Walton, M. A., Bryant, C. M., Shope, J. T., & Raghunathan, T. E. (2010). Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: Initial findings. Journal of American College Health, 58 (4), 349–356. doi:10.1080/07448480903501178
   PubMed Web of Science ®Google Scholar
• Bock, B. C., Rosen, R. K., Barnett, N. P., Thind, H., Walaska, K., Foster, R., … Traficante, R. (2015). Translating behavioral interventions onto mHealth platforms: Developing text message interventions for smoking and alcohol. JMIR mHealth and uHealth, 3 (1), e22. doi:10.2196/mhealth.3779
   Google Scholar
• Buhi, E. R., Trudnak, T. E., Martinasek, M. P., Oberne, A. B., Fuhrmann, H. J., & McDermott, R. J. (2013). Mobile phone-based behavioural interventions for health: A systematic review. Health Education Journal, 72 (5), 564–583. doi:10.1177/0017896912452071
   Web of Science ®Google Scholar
• Center for Behavioral Health Statistics and Quality (CBHSQ). (2015). 2014 national survey on drug use and health: Detailed tables. Rockville, MD: Substance Abuse and Mental Health Services Administration.
   Google Scholar
• Christie, A., Dagfinrud, H., Dale, Ø., Schulz, T., & Hagen, K. B. (2014). Collection of patient-reported outcomes; Text messages on mobile phones provide valid scores and high response rates. BMC Medical Research Methodology, 14 (1), 52. doi:10.1186/1471-2288-14-52
   PubMed Web of Science ®Google Scholar
• Cingel, D. P., & Sundar, S. S. (2012). Texting, techspeak, and tweens: The relationship between text messaging and English grammar skills. New Media and Society, 14 (8), 1304–1320. doi:10.1177/1461444812442927
   Web of Science ®Google Scholar
• Cohn, A. M., Hunter-Reel, D., Hagman, B. T., & Mitchell, J. (2011). Promoting behavior change from alcohol use through mobile technology: The future of ecological momentary assessment. Alcoholism: Clinical and Experimental Research, 35 (12), 2209–2215. doi:10.1111/j.1530-0277.2011.01571.x
   PubMed Web of Science ®Google Scholar
• Cooray, C., Matusevicius, M., Wahlgren, N., & Ahmed, N. (2015). Mobile phone-based questionnaire for assessing 3 months modified Rankin score after acute stroke: A pilot study. Circulation: Cardiovascular Quality and Outcomes, 8, S125–S130. doi:10.1161/CIRCOUTCOMES.115.002055
   Google Scholar
• Donoghue, K., Patton, R., Phillips, T., Deluca, P., & Drummond, C. (2014). The effectiveness of electronic screening and brief intervention for reducing levels of alcohol consumption: A systematic review and meta-analysis. Journal of Medical Internet Research, 16 (6), e142. doi:10.2196/jmir.3193
   PubMed Web of Science ®Google Scholar
• Elliott, J. C., Carey, K. B., & Bolles, J. R. (2008). Computer-based interventions for college drinking: A qualitative review. Addictive Behaviors, 33 (8), 994–1005. doi:10.1016/j.addbeh.2008.03.006
   PubMed Web of Science ®Google Scholar
• Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009). Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine, 36 (2), 165–173. doi:10.1016/j.amepre.2008.09.040
   PubMed Web of Science ®Google Scholar
• Gajecki, M., Berman, A. H., Sinadinovic, K., Rosendahl, I., & Andersson, C. (2014). Mobile phone brief intervention applications for risky alcohol use among university students: A randomized controlled study. Addiction Science and Clinical Practice, 9, 11. doi:10.1186/1940-0640-9-11
   PubMedGoogle Scholar
• Gerber, B. S., Stolley, M. R., Thompson, A. L., Sharp, L. K., & Fitzgibbon, M. L. (2009). Mobile phone text messaging to promote healthy behaviors and weight loss maintenance: A feasibility study. Health Informatics Journal, 15 (1), 17–25. doi:10.1177/1460458208099865
   PubMed Web of Science ®Google Scholar
• Gonzales, R., Ang, A., Murphy, D. A., Glik, D. C., & Anglin, M. D. (2014). Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program. Journal of Substance Abuse Treatment, 47 (1), 20–26. doi:10.1016/j.jsat.2014.01.010
   PubMed Web of Science ®Google Scholar
• Gonzalez, V. M., & Dulin, P. L. (2015). Comparison of a smartphone app for alcohol use disorders with an Internet-based intervention plus bibliotherapy: A pilot study. Journal of Consulting and Clinical Psychology, 83 (2), 335–345. doi:10.1037/a0038620
   PubMed Web of Science ®Google Scholar
• Goodwin, G. P., & Johnson-Laird, P. N. (2013). The acquisition of Boolean concepts. Trends in Cognitive Sciences, 17 (3), 128–133. doi:10.1016/j.tics.2013.01.007
   PubMed Web of Science ®Google Scholar
• Gustafson, D. H., McTavish, F. M., Chih, M. Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., … Shah, D. (2014). A smartphone application to support recovery from alcoholism: A randomized clinical trial. JAMA Psychiatry, 71 (5), 566–572. doi:10.1001/jamapsychiatry.2013.4642
   PubMed Web of Science ®Google Scholar
• Haug, S., Lucht, M. J., John, U., Meyer, C., & Schaub, M. P. (2015). A pilot study on the feasibility and acceptability of a text message-based aftercare treatment programme among alcohol outpatients. Alcohol & Alcoholism, 50 (2), 188–194. doi:10.1093/alcalc/agu107
   PubMed Web of Science ®Google Scholar
• Haug, S., Schaub, M. P., Venzin, V., Meyer, C., John, U., & Gmel, G. (2013). A pre-post study on the appropriateness and effectiveness of a Web- and text messaging-based intervention to reduce problem drinking in emerging adults. Journal of Medical Internet Research, 15 (9), e196. doi:10.2196/jmir.2755
   PubMed Web of Science ®Google Scholar
• Hester, R. K., & Miller, J. H. (2006). Computer-based tools for diagnosis and treatment of alcohol problems. Alcohol Research and Health, 29 (1), 36–40.
   Google Scholar
• Higgins, J. P., & Green, S. (Eds.). (2008). Cochrane handbook for systematic reviews of interventions (Vol. 5). Chichester, West Sussex: Wiley-Blackwell.
   Google Scholar
• Issa, T., & Isaias, P. (2016). Internet factors influencing generations Y and Z in Australia and Protugal: A practical study. Information Processing and Management, 52, 592–617. doi:10.1016/j.ipm.2015.12.006
   Web of Science ®Google Scholar
• Kazemi, D. M., Cochran, A. R., Kelly, J. F., Cornelius, J. B., & Belk, C. (2014). Integrating mHealth mobile applications to reduce high risk drinking among underage students. Health Education Journal, 73 (3), 262–273. doi:10.1177/0017896912471044
   Web of Science ®Google Scholar
• Kuntsche, E., & Robert, B. (2009). Short message service (SMS) technology in alcohol research–a feasibility study. Alcohol & Alcoholism, 44 (4), 423–428. doi:10.1093/alcalc/agp033
   PubMed Web of Science ®Google Scholar
• Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33 (1), 159–174. doi:10.2307/2529310
   PubMed Web of Science ®Google Scholar
• Litvin, E. B., Abrantes, A. M., & Brown, R. A. (2013). Computer and mobile technology-based interventions for substance use disorders: An organizing framework. Addictive Behaviors, 38 (3), 1747–1756. doi:10.1016/j.addbeh.2012.09.003
   PubMed Web of Science ®Google Scholar
• Lucht, M. J., Hoffman, L., Haug, S., Meyer, C., Pussehl, D., Quellmalz, A., … Schomerus, G. (2014). A surveillance tool using mobile phone short message service to reduce alcohol consumption among alcohol-dependent patients. Alcoholism: Clinical and Experimental Research, 38 (6), 1728–1736. doi:10.1111/acer.12403
   PubMed Web of Science ®Google Scholar
• Mason, M., Benotsch, E. G., Way, T., Kim, H., & Snipes, D. (2014). Text messaging to increase readiness to change alcohol use in college students. The Journal of Primary Prevention, 35 (1), 47–52. doi:10.1007/s10935-013-0329-9
   PubMed Web of Science ®Google Scholar
• Milward, J., Day, E., Wadsworth, E., Strang, J., & Lynskey, M. (2015). Mobile phone ownership, usage and readiness to use by patients in drug treatment. Drug and Alcohol Dependence, 146, 111–115. doi:10.1016/j.drugalcdep.2014.11.001
   PubMed Web of Science ®Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Plos Medicine, 6 (7), e1000097.
   PubMed Web of Science ®Google Scholar
• National Center for Health Statistics (NCHS). (2014). Alcohol use in binge drinking among women of childbearing age—United Stiates, 2011–2011. Morbidity and Mortality Weekly Report, 64(37), 1042–1046. Retrieved from https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6437a3.htm?s_cid=mm6437a3_w
   Web of Science ®Google Scholar
• National Institute on Drug Abuse (NIDA) (2016a). Prescription drugs and cold medicines. Retrieved from https://www.drugabuse.gov/drugs-abuse/prescription-drugs-cold-medicines.
   Google Scholar
• National Institute on Drug Abuse (NIDA). (2016b) DrugFacts: Marijuana. Retrieved from http://www.drugabuse.gov/publications/drugfacts/marijuana
   Google Scholar
• O’Keeffe, G. S., & Clarke-Pearson, K. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127 (4), 800–804.
   PubMed Web of Science ®Google Scholar
• Ozkan, M., & Solmaz, B. (2015). Mobile addiction of Generation Z and its effects on their social lifes: (An application among university students in the 18–23 age group). Procedia - Social and Behavioral Sciences, 205, 92–98. doi:10.1016/j.sbspro.2015.09.027
   Google Scholar
• Pal, K., Eastwood, S. V., Michie, S., Farmer, A. J., Barnard, M. L., Peacock, R., … Murray, E. (2014). Computer-based interventions to improve self-management in adults with type 2 diabetes: A systematic review and meta-analysis. Diabetes Care,, 37 (6), 1759–1766. doi:10.2337/dc13-1386
   Google Scholar
• Patrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008). Health and the mobile phone. American Journal of Preventive Medicine, 35 (2), 177–181. doi:10.1016/j.amepre.2008.05.001
   PubMed Web of Science ®Google Scholar
• Quanbeck, A., Chih, M. Y., Isham, A., Johnson, R., & Gustafson, D. (2014). Mobile delivery of treatment for alcohol use disorders. Alcohol Research: Current Reviews, 36 (1), 111–122.
   PubMed Web of Science ®Google Scholar
• Riley, W., Obermayer, J., & Jean-Mary, J. (2008). Internet and mobile phone text messaging intervention for college smokers. Journal of American College Health, 57 (2), 245–248. doi:10.3200/JACH.57.2.245-248
   PubMed Web of Science ®Google Scholar
• Rizvi, S. L., Dimeff, L. A., Skutch, J., Carroll, D., & Linehan, M. M. (2011). A pilot study of the DBT coach: An interactive mobile phone application for individuals with borderline personality disorder and substance use disorder. Behavior Therapy, 42 (4), 589–600. doi:10.1016/j.beth.2011.01.003
   PubMed Web of Science ®Google Scholar
• Sacks, J. J., Gonzales, K. R., Bouchery, E. E., Tomedi, L. E., & Brewer, R. D. (2015). 2010 national and state costs of excessive alcohol consumption. American Journal of Preventive Medicine, 49 (5), e73–e79. doi:10.1016/j.amepre.2015.05.031
   PubMedGoogle Scholar
• Savic, M., Best, D., Rodda, S., & Lubman, D. I. (2013). Exploring the focus and experiences of smartphone applications for addiction recovery. Journal of Addictive Diseases, 32 (3), 310–319. doi:10.1080/10550887.2013.824331
   PubMed Web of Science ®Google Scholar
• Shillington, A. M., Woodruff, S. I., Clapp, J. D., Reed, M. B., & Lemus, H. (2012). Self-reported age of onset and telescoping for cigarettes, alcohol, and marijuana: Across eight years of the National Longitudinal Survey of Youth. Journal of Child & Adolescent Substance Abuse, 21 (4), 333–348. doi:10.1080/1067828X.2012.710026
   PubMed Web of Science ®Google Scholar
• Shrier, L. A., Rhoads, A., Burke, P., Walls, C., & Blood, E. A. (2014). Real-time, contextual intervention using mobile technology to reduce marijuana use among youth: A pilot study. Addictive Behaviors, 39 (1), 173–180. doi:10.1016/j.addbeh.2013.09.028
   PubMed Web of Science ®Google Scholar
• Smith, A. (2015). Pew Internet and American Life Project: Smartphone ownership 2013. Retrieved from http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/
   Google Scholar
• Suffoletto, B., Callaway, C., Kristan, J., Kraemer, K., & Clark, D. B. (2012). Text-message-based drinking assessments and brief interventions for young adults discharged from the emergency department. Alcoholism: Clinical and Experimental Research, 36 (3), 552–560. doi:10.1111/j.1530-0277.2011.01646.x
   PubMed Web of Science ®Google Scholar
• Suffoletto, B., Kristan, J., Callaway, C., Kim, K. H., Chung, T., Monti, P. M., & Clark, D. B. (2014). A text message alcohol intervention for young adult emergency department patients: A randomized clinical trial. Annals of Emergency Medicine, 64 (6), 664–672. doi:10.1016/j.annemergmed.2014.06.010
   PubMed Web of Science ®Google Scholar
• Turner, A. (2015). Generation Z: Technology and social interest. The Journal of Individual Psychology, 71 (2), 103–113. doi:10.1353/jip.2015.0021
   Google Scholar
• Underwood, M. K., Rosen, L. H., More, D., Ehrenreich, S. E., & Gentsch, J. K. (2012). The BlackBerry project: Capturing the content of adolescents’ text messaging. Developmental Psychology, 48 (2), 295–302. doi:10.1037/a0025914
   PubMed Web of Science ®Google Scholar
• Weitzel, J. A., Bernhardt, J. M., Usdan, S., Mays, D., & Glanz, K. (2007). Using wireless handheld computers and tailored text messaging to reduce negative consequences of drinking alcohol. Journal of Studies on Alcohol and Drugs, 68 (4), 534–537. doi:10.15288/jsad.2007.68.534
   PubMed Web of Science ®Google Scholar
• White, A., Castle, I. J. P., Chen, C. M., Shirley, M., Roach, D., & Hingson, R. (2015). Converging patterns of alcohol use and related outcomes among females and males in the United States, 2002 to 2012. Alcoholism: Clinical and Experimental Research, 39 (9), 1712–1726. doi:10.1111/acer.12815
   PubMed Web of Science ®Google Scholar
• Whittaker, R., McRobbie, H., Bullen, C., Borland, R., Rodgers, A., & Gu, Y. (2012). Mobile phone-based interventions for smoking cessation. Cochrane Database of Systematic Reviews. doi:10.1002/14651858.CD006611.pub2
   Google Scholar
• Wieland, L. S., Falzon, L., Sciamanna, C. N., Trudeau, K. J., Brodney, S., Schwartz, J. E., & Davidson, K. W. (2012). Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. The Cochrane Database of Systematic Reviews. doi:10.1002/14651858.CD007675.pub2
   Web of Science ®Google Scholar
• Witkiewitz, K., Desai, S. A., Bowen, S., Leigh, B. C., Kirouac, M., & Larimer, M. E. (2014). Development and evaluation of a mobile intervention for heavy drinking and smoking among college students. Psychology of Addictive Behaviors, 28 (3), 639. doi:10.1037/a0034747
   PubMed Web of Science ®Google Scholar