Internet-based brief personalized feedback intervention in a non-treatment-seeking population of adult heavy drinkers: a randomized controlled trial

Anders Blædel Gottlieb Hansen, Ulrik Becker, Anette Søgaard Nielsen, Morten Grønbæk, Janne Schurmann Tolstrup, Lau Caspar Thygesen, Anders Blædel Gottlieb Hansen, Ulrik Becker, Anette Søgaard Nielsen, Morten Grønbæk, Janne Schurmann Tolstrup, Lau Caspar Thygesen

Abstract

Background: Internet-based interventions for heavy drinkers show promising results, but existing research is characterized by few studies in nonstudent adult populations and few comparisons with appropriate control groups.

Objective: To test whether a fully automated Internet-based brief personalized feedback intervention and a fully automated Internet-based personalized brief advice intervention in a non-treatment-seeking population of heavy drinkers would result in a reduced alcohol intake.

Methods: We conducted a 3-arm parallel randomized controlled trial in a general population-based sample of heavy drinkers. The 54,157 participants (median age of 58 years) were screened for heavy drinking. Of the 3418 participants who had a weekly alcohol consumption above 14 drinks for women and 21 drinks for men, 1380 (619 women) consented to take part in the trial and were randomly assigned to an Internet-based brief personalized feedback intervention group (normative feedback, n = 476), an Internet-based personalized brief advice intervention group (n = 450), or a nonintervention control group (n = 454). Follow-up after 6 and 12 months included 871 and 1064 participants, respectively, of all groups combined. The outcome measure was self-reported weekly alcohol consumption. We analyzed the data according to the intention-to-treat principle. To examine changes over time and to account for the multiple time measurements, we used a multilevel linear mixed model. To take attrition into account, we used multiple imputation to address missing data.

Results: The intervention effect of the Internet-based brief personalized feedback intervention, determined as the mean additional difference in changes in alcohol consumption in the Internet-based brief personalized feedback intervention compared with the control group, was -1.8 drinks/week after 6 months and -1.4 drinks/week after 12 months; these effects were nonsignificant (95% confidence interval -4.0 to 0.3 at 6 months, -3.4 to 0.6 at 12 months). The intervention effect of the Internet-based personalized brief advice intervention was -0.5 drinks/week after 6 months and -1.2 drinks/week after 12 months; these effects were nonsignificant (95% confidence interval -2.7 to 1.6 at 6 months, -3.3 to 0.9 at 12 months).

Conclusions: In this randomized controlled trial we found no evidence that an Internet-based brief personalized feedback intervention was effective in reducing drinking in an adult population of heavy drinkers.

Trial registration: ClinicalTrials.gov NCT00751985; https://ichgcp.net/clinical-trials-registry/NCT00751985 (Archived by WebCite at http://www.webcitation.org/68WCRLyaP).

Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Screenshot of the Internet-based brief personalized feedback intervention.
Figure 2
Figure 2
Screenshot of the Internet-based personalized brief advice intervention.
Figure 3
Figure 3
Screenshot of the control group condition.
Figure 4
Figure 4
Flow of participants through the study. PBA = Internet-based personalized brief advice intervention, PFI = Internet-based brief personalized feedback intervention. aFollow-up took place by means of two emails. bNo response and declined are subsets of lost to follow-up. c Follow-up took place by means of two emails and two letters.
Figure 5
Figure 5
Alcohol consumption at baseline and at 6- and 12-month follow-ups for women based on multiple imputation. Error bars indicate 95% confidence interval. Drinks/week = mean number of standard drinks in a typical week, PBA = Internet-based personalized brief advice intervention, PFI = Internet-based brief personalized feedback intervention.
Figure 6
Figure 6
Alcohol consumption at baseline and at 6- and 12-month follow-ups for men based on multiple imputation. Error bars indicate 95% confidence interval. Drinks/week = mean number of standard drinks in a typical week, PBA = Internet-based personalized brief advice intervention, PFI = Internet-based brief personalized feedback intervention.
Figure 7
Figure 7
Alcohol consumption at baseline and at 6- and 12-month follow-ups for women based on completers-only analysis. n = 390 after 6 months and 466 after 12 months. Error bars indicate 95% confidence interval. Drinks/week = mean number of standard drinks in a typical week, PBA = Internet-based personalized brief advice intervention, PFI = Internet-based brief personalized feedback intervention.
Figure 8
Figure 8
Alcohol consumption at baseline and at 6- and 12-month follow-ups for men based on completers-only analysis. n = 481 after 6 months and 598 after 12 months. Error bars indicate 95% confidence interval. Drinks/week = mean number of standard drinks in a typical week, PBA = Internet-based personalized brief advice intervention, PFI = Internet-based brief personalized feedback intervention. *P value for difference between PFI and control group (Kruskal-Wallis test).

References

    1. Rehm J, Baliunas D, Borges GL, Graham K, Irving H, Kehoe T, Parry CD, Patra J, Popova S, Poznyak V, Roerecke M, Room R, Samokhvalov AV, Taylor B. The relation between different dimensions of alcohol consumption and burden of disease: an overview. Addiction. 2010 May;105(5):817–43. doi: 10.1111/j.1360-0443.2010.02899.x.ADD2899
    1. Tolstrup JS, Jensen MK, Tjønneland A, Overvad K, Grønbaek M. Drinking pattern and mortality in middle-aged men and women. Addiction. 2004 Mar;99(3):323–30. doi: 10.1111/j.1360-0443.2003.00667.x.ADD667
    1. Hansen AB, Hvidtfeldt UA, Grønbæk M, Becker U, Nielsen AS, Tolstrup JS. The number of persons with alcohol problems in the Danish population. Scand J Public Health. 2011 Mar;39(2):128–36. doi: 10.1177/1403494810393556.39/2/128
    1. Kaner EF, Beyer F, Dickinson HO, Pienaar E, Campbell F, Schlesinger C, Heather N, Saunders J, Burnand B. Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database Syst Rev. 2007;(2):CD004148. doi: 10.1002/14651858.CD004148.pub3.
    1. Beich A, Gannik D, Malterud K. Screening and brief intervention for excessive alcohol use: qualitative interview study of the experiences of general practitioners. BMJ. 2002 Oct 19;325(7369):870.
    1. Nilsen P. Brief alcohol intervention--where to from here? Challenges remain for research and practice. Addiction. 2010 Jun;105(6):954–9. doi: 10.1111/j.1360-0443.2009.02779.x.ADD2779
    1. Cunningham JA, Breslin FC. Only one in three people with alcohol abuse or dependence ever seek treatment. Addict Behav. 2004 Jan;29(1):221–3.S0306460303000777
    1. Harris K, McKellar J. Demand for alcohol treatment. Frontlines. 2003;June:1–2.
    1. Lieberman DZ, Huang SW. A technological approach to reaching a hidden population of problem drinkers. Psychiatr Serv. 2008 Mar;59(3):297–303. doi: 10.1176/appi.ps.59.3.297.59/3/297
    1. Postel MG, de Jong CA, de Haan HA. Does e-therapy for problem drinking reach hidden populations? Am J Psychiatry. 2005 Dec;162(12):2393. doi: 10.1176/appi.ajp.162.12.2393.162/12/2393
    1. Internet World Stats Miniwatts Marketing Group. 2011. Jun 22, [2011-06-23]. World Internet Usage and Population Statistics March 31, 2011 .
    1. Vernon ML. A review of computer-based alcohol problem services designed for the general public. J Subst Abuse Treat. 2010 Apr;38(3):203–11. doi: 10.1016/j.jsat.2009.11.001.S0740-5472(09)00184-6
    1. Cunningham JA, Khadjesari Z, Bewick BM, Riper H. Internet-based interventions for problem drinkers: From efficacy trials to implementation. Drug Alcohol Rev. 2010 Nov;29(6):617–22. doi: 10.1111/j.1465-3362.2010.00201.x.
    1. Khadjesari Z, Murray E, Hewitt C, Hartley S, Godfrey C. Can stand-alone computer-based interventions reduce alcohol consumption? A systematic review. Addiction. 2011 Feb;106(2):267–82. doi: 10.1111/j.1360-0443.2010.03214.x.
    1. 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. doi: 10.2196/jmir.1376. v12i1e4
    1. Riper H, van Straten A, Keuken M, Smit F, Schippers G, Cuijpers P. Curbing problem drinking with personalized-feedback interventions: a meta-analysis. Am J Prev Med. 2009 Mar;36(3):247–55. doi: 10.1016/j.amepre.2008.10.016.S0749-3797(08)00968-9
    1. White A, Kavanagh D, Stallman H, Klein B, Kay-Lambkin F, Proudfoot J, Drennan J, Connor J, Baker A, Hines E, Young R. Online alcohol interventions: a systematic review. J Med Internet Res. 2010;12(5):e62. doi: 10.2196/jmir.1479. v12i5e62
    1. Cunningham JA, Van Mierlo T. Methodological issues in the evaluation of Internet-based interventions for problem drinking. Drug Alcohol Rev. 2009 Jan;28(1):12–7. doi: 10.1111/j.1465-3362.2008.00001.x.DAR001
    1. Collins SE, Carey KB, Sliwinski MJ. Mailed personalized normative feedback as a brief intervention for at-risk college drinkers. J Stud Alcohol. 2002 Sep;63(5):559–67.
    1. Walters ST, Neighbors C. Feedback interventions for college alcohol misuse: what, why and for whom? Addict Behav. 2005 Jul;30(6):1168–82. doi: 10.1016/j.addbeh.2004.12.005.S0306-4603(04)00389-2
    1. Wild TC, Cunningham JA, Roberts AB. Controlled study of brief personalized assessment-feedback for drinkers interested in self-help. Addiction. 2007 Feb;102(2):241–50. doi: 10.1111/j.1360-0443.2006.01682.x.ADD1682
    1. 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):434–47. doi: 10.1037/0022-006X.72.3.434.2004-95166-007
    1. Blankers M, Koeter MW, Schippers GM. Missing data approaches in eHealth research: simulation study and a tutorial for nonmathematically inclined researchers. J Med Internet Res. 2010;12(5):e54. doi: 10.2196/jmir.1448. v12i5e54
    1. Eriksen L, Grønbæk M, Helge JW, Tolstrup JS, Curtis T. The Danish Health Examination Survey 2007-2008 (DANHES 2007-2008) Scand J Public Health. 2011 Mar;39(2):203–11. doi: 10.1177/1403494810393557.1403494810393557
    1. Moyer A, Finney JW, Swearingen CE, Vergun P. Brief interventions for alcohol problems: a meta-analytic review of controlled investigations in treatment-seeking and non-treatment-seeking populations. Addiction. 2002 Mar;97(3):279–92.018
    1. Ballesteros J, González-Pinto A, Querejeta I, Ariño J. Brief interventions for hazardous drinkers delivered in primary care are equally effective in men and women. Addiction. 2004 Jan;99(1):103–8.499
    1. Pedersen CB. The Danish Civil Registration System. Scand J Public Health. 2011 Jul;39(7 Suppl):22–5. doi: 10.1177/1403494810387965.39/7_suppl/22
    1. Babor T, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Care. 2nd edition. Geneva: World Health Organization; 2001.
    1. Mørch LS, Becker U, Olsen J, Tjønneland AM, Grønbaek MN. [Should the sensible drinking limits for adults be changed?] Ugeskr Laeger. 2005 Oct 3;167(40):3777–9.VP48022
    1. Bertholet N, Daeppen JB, Wietlisbach V, Fleming M, Burnand B. Reduction of alcohol consumption by brief alcohol intervention in primary care: systematic review and meta-analysis. Arch Intern Med. 2005 May 9;165(9):986–95. doi: 10.1001/archinte.165.9.986.165/9/986
    1. Jenkins RJ, McAlaney J, McCambridge J. Change over time in alcohol consumption in control groups in brief intervention studies: systematic review and meta-regression study. Drug Alcohol Depend. 2009 Feb 1;100(1-2):107–14. doi: 10.1016/j.drugalcdep.2008.09.016.S0376-8716(08)00359-1
    1. Finucane MM, Samet JH, Horton NJ. Translational methods in biostatistics: linear mixed effect regression models of alcohol consumption and HIV disease progression over time. Epidemiol Perspect Innov. 2007;4:8. doi: 10.1186/1742-5573-4-8. 1742-5573-4-8
    1. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393.
    1. Lee KJ, Carlin JB. Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation. Am J Epidemiol. 2010 Mar 1;171(5):624–32. doi: 10.1093/aje/kwp425. kwp425
    1. McCambridge J, Day M. Randomized controlled trial of the effects of completing the Alcohol Use Disorders Identification Test questionnaire on self-reported hazardous drinking. Addiction. 2008 Feb;103(2):241–8. doi: 10.1111/j.1360-0443.2007.02080.x.ADD2080
    1. Kypri K, Langley JD, Saunders JB, Cashell-Smith ML. Assessment may conceal therapeutic benefit: findings from a randomized controlled trial for hazardous drinking. Addiction. 2007 Jan;102(1):62–70. doi: 10.1111/j.1360-0443.2006.01632.x.ADD1632
    1. Kypri K. Methodological issues in alcohol screening and brief intervention research. Subst Abus. 2007;28(3):31–42. doi: 10.1300/J465v28n03_04.
    1. Bernstein JA, Bernstein E, Heeren TC. Mechanisms of change in control group drinking in clinical trials of brief alcohol intervention: implications for bias toward the null. Drug Alcohol Rev. 2010 Sep;29(5):498–507. doi: 10.1111/j.1465-3362.2010.00174.x.DAR174
    1. Wallace P, Murray E, McCambridge J, Khadjesari Z, White IR, Thompson SG, Kalaitzaki E, Godfrey C, Linke S. On-line randomized controlled trial of an internet based psychologically enhanced intervention for people with hazardous alcohol consumption. PLoS One. 2011;6(3):e14740. doi: 10.1371/journal.pone.0014740.
    1. Boon B, Risselada A, Huiberts A, Riper H, Smit F. Curbing alcohol use in male adults through computer generated personalized advice: randomized controlled trial. J Med Internet Res. 2011;13(2):e43. doi: 10.2196/jmir.1695. v13i2e43
    1. Riper H, Kramer J, Smit F, Conijn B, Schippers G, Cuijpers P. Web-based self-help for problem drinkers: a pragmatic randomized trial. Addiction. 2008 Feb;103(2):218–27. doi: 10.1111/j.1360-0443.2007.02063.x.ADD2063
    1. Cunningham JA, Wild TC, Cordingley J, Van Mierlo T, Humphreys K. Twelve-month follow-up results from a randomized controlled trial of a brief personalized feedback intervention for problem drinkers. Alcohol Alcohol. 2010;45(3):258–62. doi: 10.1093/alcalc/agq009. agq009
    1. Feveile H, Olsen O, Hogh A. A randomized trial of mailed questionnaires versus telephone interviews: response patterns in a survey. BMC Med Res Methodol. 2007;7:27. doi: 10.1186/1471-2288-7-27. 1471-2288-7-27
    1. Lustria ML, Cortese J, Noar SM, Glueckauf RL. Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Educ Couns. 2009 Feb;74(2):156–73. doi: 10.1016/j.pec.2008.08.023.S0738-3991(08)00469-2
    1. Edwards AG, Rollnick S. Outcome studies of brief alcohol intervention in general practice: the problem of lost subjects. Addiction. 1997 Dec;92(12):1699–704.
    1. Del Boca FK, Darkes J. The validity of self-reports of alcohol consumption: state of the science and challenges for research. Addiction. 2003 Dec;98 Suppl 2:1–12.
    1. Rehm J. Measuring quantity, frequency, and volume of drinking. Alcohol Clin Exp Res. 1998 Apr;22(2 Suppl):4S–14S.
    1. Eysenbach G, CONSORT-EHEALTH Group CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011;13(4):e126. doi: 10.2196/jmir.1923. v13i4e126

Source: PubMed

3
Se inscrever