Use of theory in computer-based interventions to reduce alcohol use among adolescents and young adults: a systematic review

Kathleen P Tebb, Rebecca K Erenrich, Carolyn Bradner Jasik, Mark S Berna, James C Lester, Elizabeth M Ozer, Kathleen P Tebb, Rebecca K Erenrich, Carolyn Bradner Jasik, Mark S Berna, James C Lester, Elizabeth M Ozer

Abstract

Background: Alcohol use and binge drinking among adolescents and young adults remain frequent causes of preventable injuries, disease, and death, and there has been growing attention to computer-based modes of intervention delivery to prevent/reduce alcohol use. Research suggests that health interventions grounded in established theory are more effective than those with no theoretical basis. The goal of this study was to conduct a literature review of computer-based interventions (CBIs) designed to address alcohol use among adolescents and young adults (aged 12-21 years) and examine the extent to which CBIs use theories of behavior change in their development and evaluations. This study also provides an update on extant CBIs addressing alcohol use among youth and their effectiveness.

Methods: Between November and December of 2014, a literature review of CBIs aimed at preventing or reducing alcohol in PsychINFO, PubMed, and Google Scholar was conducted. The use of theory in each CBI was examined using a modified version of the classification system developed by Painter et al. (Ann Behav Med 35:358-362, 2008).

Results: The search yielded 600 unique articles, 500 were excluded because they did not meet the inclusion criteria. The 100 remaining articles were retained for analyses. Many articles were written about a single intervention; thus, the search revealed a total of 42 unique CBIs. In examining the use of theory, 22 CBIs (52 %) explicitly named one or more theoretical frameworks. Primary theories mentioned were social cognitive theory, transtheoretical model, theory of planned behavior and reasoned action, and health belief model. Less than half (48 %), did not use theory, but mentioned either use of a theoretical construct (such as self-efficacy) or an intervention technique (e.g., manipulating social norms). Only a few articles provided detailed information about how the theory was applied to the CBI; the vast majority included little to no information.

Conclusions: Given the importance of theory in guiding interventions, greater emphasis on the selection and application of theory is needed. The classification system used in this review offers a guiding framework for reporting how theory based principles can be applied to computer based interventions.

Keywords: Adolescent; Alcohol drinking; Alcohol prevention; Computer systems; Computer-based interventions; Systematic review; Theoretical models; Young adult.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram

References

    1. Hingson R, White A. New research findings since the 2007 Surgeon General’s call to action to prevent and reduce underage drinking: A review. J Stud Alcohol Drugs. 2014;75(1):158–169. doi: 10.15288/jsad.2014.75.158.
    1. Chen CM, Yi H-y, Faden VB. Surveillance Report# 101: Trends in Underage Drinking in the United States, 1991–2013. Rockville: NIAAA, Division of Epidemiology and Prevention Research, Alcohol Epidemiologic Data System; 2015.
    1. Toomey TL, Lenk KM. A review of environmental-based community interventions. Alcohol Res Health. 2011;34(2):163.
    1. Hennessy EA, Tanner-Smith EE. Effectiveness of brief school-based interventions for adolescents: A meta-analysis of alcohol use prevention programs. Prev Sci. 2015;16(3):463–474. doi: 10.1007/s11121-014-0512-0.
    1. Spoth R, Greenberg M, Turrisi R. Preventive interventions addressing underage drinking: State of the evidence and steps toward public health impact. Pediatrics. 2008;121(Supplement 4):S311–S336. doi: 10.1542/peds.2007-2243E.
    1. Tripodi SJ, Bender K, Litschge C, Vaughn MG. Interventions for reducing adolescent alcohol abuse: a meta-analytic review. Arch Pediatr Adolesc Med. 2010;164(1):85–91. doi: 10.1001/archpediatrics.2009.235.
    1. Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010;31:399–418. doi: 10.1146/annurev.publhealth.012809.103604.
    1. Copeland J. Application of technology in the prevention and treatment of substance use disorders and related problems: opportunities and challenges. Subst Use Misuse. 2011;46(1):112–113. doi: 10.3109/10826084.2011.521423.
    1. Johnson M, Jackson R, Guillaume L, Meier P, Goyder E. Barriers and facilitators to implementing screening and brief intervention for alcohol misuse: a systematic review of qualitative evidence. J Public Health. 2010;33(3):412–21. doi: 10.1093/pubmed/fdq095.
    1. Khadjesari Z, Murray E, Hewitt C, Hartley S, Godfrey C. Can stand‐alone computer‐based interventions reduce alcohol consumption? A systematic review. Addiction. 2010;106(2):267–282. doi: 10.1111/j.1360-0443.2010.03214.x.
    1. Copeland J, Martin G. Web-based interventions for substance use disorders: A qualitative review. J Subst Abus Treat. 2004;26(2):109–116. doi: 10.1016/S0740-5472(03)00165-X.
    1. Rooke S, Thorsteinsson E, Karpin A, Copeland J, Allsop D. Computer‐delivered interventions for alcohol and tobacco use: a meta‐analysis. Addiction. 2010;105(8):1381–1390. doi: 10.1111/j.1360-0443.2010.02975.x.
    1. Madden M, Lenhart A, Duggan M, Cortesi S, Gasser U. Teens and Technology 2013. Pew Internet & American Life Project. Retrieved December 2013.
    1. Elliott JC, Carey KB, Bolles JR. Computer-based interventions for college drinking: a qualitative review. Addict Behav. 2008;33(8):994–1005. doi: 10.1016/j.addbeh.2008.03.006.
    1. Carey KB, Carey MP, Henson JM, Maisto SA, DeMartini KS. Brief alcohol interventions for mandated college students: Comparison of face‐to‐face counseling and computer‐delivered interventions. Addiction. 2011;106(3):528–537. doi: 10.1111/j.1360-0443.2010.03193.x.
    1. Carey KB, Scott‐Sheldon LA, Elliott JC, Bolles JR, Carey MP. Computer‐delivered interventions to reduce college student drinking: A meta‐analysis. Addiction. 2009;104(11):1807–1819. doi: 10.1111/j.1360-0443.2009.02691.x.
    1. Champion KE, Newton NC, Barrett EL, Teesson M. A systematic review of school‐based alcohol and other drug prevention programs facilitated by computers or the Internet. Drug Alcohol Rev. 2013;32(2):115–123. doi: 10.1111/j.1465-3362.2012.00517.x.
    1. Rodriguez DM, Teesson M, Newton NC. A systematic review of computerised serious educational games about alcohol and other drugs for adolescents. Drug Alcohol Rev. 2014;33(2):129–135. doi: 10.1111/dar.12102.
    1. Carey KB, Scott-Sheldon LA, Elliott JC, Garey L, Carey MP. Face-to-face versus computer-delivered alcohol interventions for college drinkers: a meta-analytic review, 1998 to 2010. Clin Psychol Rev. 2012;32(8):690–703. doi: 10.1016/j.cpr.2012.08.001.
    1. Webb T, 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. doi: 10.2196/jmir.1376.
    1. Taylor N, Conner M, Lawton R. The impact of theory on the effectiveness of worksite physical activity interventions: a meta-analysis and meta-regression. Health Psychology Review. 2012;6(1):33–73. doi: 10.1080/17437199.2010.533441.
    1. Painter JE, Borba CP, Hynes M, Mays D, Glanz K. The use of theory in health behavior research from 2000 to 2005: a systematic review. Ann Behav Med. 2008;35(3):358–362. doi: 10.1007/s12160-008-9042-y.
    1. Marteau T, Dieppe P, Foy R, Kinmonth A-L, Schneiderman N. Behavioural medicine: changing our behaviour: A growing body of evidence shows how to make behavioural interventions effective. BMJ. 2006;332(7539):437. doi: 10.1136/bmj.332.7539.437.
    1. Michie S, Sheeran P, Rothman A. Advancing the science of behaviour change. Invited editorial. Psychol Health. 2007;22(3):249–253. doi: 10.1080/14768320701233582.
    1. Rothman AJ. International journal of behavioral nutrition and physical activity. Int J Behav Nutr Phys Act. 2004;1:11. doi: 10.1186/1479-5868-1-11.
    1. Bandura A, McClelland DC. Social learning theory. 1977.
    1. Fishbein M. A theory of reasoned action: some applications and implications. 1979.
    1. Bandura A. Health promotion from the perspective of social cognitive theory. Psychol Health. 1998;13(4):623–649. doi: 10.1080/08870449808407422.
    1. Ajzen I. From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.) Action control: From cognition to behavior. Berlin, Heidelber, New York: Springer-Verlag; 1985. pp. 11-39.
    1. Janz NK, Becker MH. The health belief model: A decade later. Health Educ Behav. 1984;11(1):1–47. doi: 10.1177/109019818401100101.
    1. Prentice DA, Miller DT. Pluralistic ignorance and alcohol use on campus: some consequences of misperceiving the social norm. J Pers Soc Psychol. 1993;64(2):243. doi: 10.1037/0022-3514.64.2.243.
    1. DiClemente CC, Prochaska JO. Toward a comprehensive, transtheoretical model of change: Stages of change and addictive behaviors. In: Miller WR & Heather N, editors. Treating addictive behaviors (2nd ed) New York: Plenum Press; 1988. pp. 3-24.
    1. Croom K, Lewis D, Marchell T, Lesser ML, Reyna VF, Kubicki-Bedford L, Feffer M, Staiano-Coico L. Impact of an online alcohol education course on behavior and harm for incoming first-year college students: short-term evaluation of a randomized trial. J Am Coll Heal. 2009;57(4):445–454. doi: 10.3200/JACH.57.4.445-454.
    1. Hustad JT, Barnett NP, Borsari B, Jackson KM. Web-based alcohol prevention for incoming college students: a randomized controlled trial. Addict Behav. 2010;35(3):183–189. doi: 10.1016/j.addbeh.2009.10.012.
    1. Lovecchio CP, Wyatt TM, DeJong W. Reductions in drinking and alcohol-related harms reported by first-year college students taking an online alcohol education course: a randomized trial. J Health Commun. 2010;15(7):805–819. doi: 10.1080/10810730.2010.514032.
    1. Paschall MJ, Antin T, Ringwalt CL, Saltz RF. Evaluation of an Internet-based alcohol misuse prevention course for college freshmen: findings of a randomized multi-campus trial. Am J Prev Med. 2011;41(3):300–308. doi: 10.1016/j.amepre.2011.03.021.
    1. Paschall MJ, Antin T, Ringwalt CL, Saltz RF. Effects of AlcoholEdu for college on alcohol-related problems among freshmen: a randomized multicampus trial. J Stud Alcohol Drugs. 2011;72(4):642–650. doi: 10.15288/jsad.2011.72.642.
    1. Paschall MJ, Ringwalt C, Wyatt T, Dejong W. Effects of an online alcohol education course among college freshmen: an investigation of potential mediators. J Health Commun. 2014;19(4):392–412. doi: 10.1080/10810730.2013.811328.
    1. Wyatt TM, Dejong W, Dixon E. Population-level administration of AlcoholEdu for college: an ARIMA time-series analysis. J Health Commun. 2013;18(8):898–912. doi: 10.1080/10810730.2011.626501.
    1. Wall AF. Evaluating a health education web site: the case of AlcoholEdu. NASPA J. 2008;44(4):692–714. doi: 10.2202/0027-6014.1864.
    1. Wall AF. On-line alcohol health education curriculum evaluation: harm reduction findings among fraternity and sorority members. Oracle. 2006;2(1):29–45.
    1. Barretto AI, Bingham CR, Goh KN, Shope JT. Developing a web-based health promotion intervention: a case study from a brief motivational alcohol program. Health Promot Pract. 2011;12(2):193–201. doi: 10.1177/1524839909353740.
    1. Bingham CR, Barretto AI, Walton MA, Bryant CM, Shope JT, Raghunathan TE. Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: initial findings. J Am Coll Heal. 2010;58(4):349–356. doi: 10.1080/07448480903501178.
    1. Bingham CR, Barretto AI, Walton MA, Bryant CM, Shope JT, Raghunathan TE. Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: 3-month follow-up. J Drug Educ. 2011;41(4):405–430. doi: 10.2190/DE.41.4.e.
    1. Schinke SP, Fang L, Cole KC, Cohen-Cutler S. Preventing substance use among Black and Hispanic adolescent girls: Results from a computer-delivered, mother–daughter intervention approach. Subst Use Misuse. 2011;46(1):35–45. doi: 10.3109/10826084.2011.521074.
    1. Williams C, Griffin KW, Macaulay AP, West TL, Gronewold E. Efficacy of a Drug Prevention CD-ROM Intervention for Adolescents. Subst Use Misuse. 2005;40(6):869–878. doi: 10.1081/JA-200042219.
    1. Koning IM, van den Eijnden RJ, Engels RC, Verdurmen JE, Vollebergh WA. Why target early adolescents and parents in alcohol prevention? The mediating effects of self‐control, rules and attitudes about alcohol use. Addiction. 2011;106(3):538–546. doi: 10.1111/j.1360-0443.2010.03198.x.
    1. Koning IM, Vollebergh WA, Smit F, Verdurmen JE, Van Den Eijnden RJ, Ter Bogt TF, Stattin H, Engels RC. Preventing heavy alcohol use in adolescents (PAS): cluster randomized trial of a parent and student intervention offered separately and simultaneously. Addiction. 2009;104(10):1669–1678. doi: 10.1111/j.1360-0443.2009.02677.x.
    1. Gregor MA, Shope JT, Blow FC, Maio RF, Weber JE, Nypaver MM. Feasibility of using an interactive laptop program in the emergency department to prevent alcohol misuse among adolescents. Ann Emerg Med. 2003;42(2):276–284. doi: 10.1067/mem.2003.265.
    1. Maio RF, Shope JT, Blow FC, Gregor MA, Zakrajsek JS, Weber JE, Nypaver MM. A randomized controlled trial of an emergency department-based interactive computer program to prevent alcohol misuse among injured adolescents. Ann Emerg Med. 2005;45(4):420–429. doi: 10.1016/j.annemergmed.2004.10.013.
    1. Foxcroft DR, Tsertsvadze A. Cochrane Review: Universal school-based prevention programs for alcohol misuse in young people. Evid Based Child Health. 2012;7(2):450–575. doi: 10.1002/ebch.1829.
    1. Foxcroft DR, Tsertsvadze, A. Universal family-based prevention programs for alcohol misuse in young people. Cochrane Database Syst Rev, 9. 2011.
    1. Perkins HW. Social norms and the prevention of alcohol misuse in collegiate contexts. J Stud Alcohol Suppl. 2002;14:164–172. doi: 10.15288/jsas.2002.s14.164.
    1. Canale N, Vieno A, Santinello M, Chieco F, Andriolo S. The efficacy of computerized alcohol intervention tailored to drinking motives among college students: a quasi-experimental pilot study. Am J Drug Alcohol Abuse. 2015;41(2):183–187. doi: 10.3109/00952990.2014.991022.
    1. Collins SE, Kirouac M, Lewis MA, Witkiewitz K, Carey KB. Randomized controlled trial of web-based decisional balance feedback and personalized normative feedback for college drinkers. J Stud Alcohol Drugs. 2014;75(6):982–992. doi: 10.15288/jsad.2014.75.982.
    1. Rubak S, Sandbæk A, Lauritzen T, Christensen B. Motivational interviewing: a systematic review and meta-analysis. Br J Gen Pract. 2005;55(513):305–312.
    1. Stigler MH, Neusel E, Perry CL. School-based programs to prevent and reduce alcohol use among youth. Alcohol Res Health. 2011;34(2):157.
    1. Gray SH, Pasternak RH, Gooding HC, Woodward K, Hawkins K, Sawyer S, Anoshiravani A. Recommendations for electronic health record use for delivery of adolescent health care. J Adolesc Health. 2014;54(4):487–490. doi: 10.1016/j.jadohealth.2014.01.011.
    1. Miller JW, Naimi TS, Brewer RD, Jones SE. Binge drinking and associated health risk behaviors among high school students. Pediatrics. 2007;119(1):76–85. doi: 10.1542/peds.2006-1517.
    1. Botvin GJ, Kantor LW. Preventing alcohol and tobacco use through life skills training. Alcohol Res Health. 2000;24(4):250–257.

Source: PubMed

3
Sottoscrivi