Web-based brief personalized feedback intervention in a Non- Treatment Seeking Population of Heavy Drinkers a Randomized Controlled Trial

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Web-based brief personalized feedback intervention in a Non- Treatment Seeking Population of Heavy Drinkers a Randomized Controlled Trial 7th Conference of INEBRIA Friday 10th September 2010 Ph.d.-student Anders Blædel Gottlieb Hansen

Background: The Liberal Danish Alcohol Culture INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 2

Research group and funding Becker, Ulrik; Chief Physician, MD, Dr. Med.Sci; Hvidovre Hospital, University of Copenhagen; Copenhagen Nielsen, Anette; M.Sc.Phil., Ph.D.; University of Southern Denmark, National Institute of Public Health, Center for Alcohol Research; Copenhagen Grønbæk, Morten; MD, PhD; University of Southern Denmark, National Institute of Public Health, Center for Alcohol Research; Copenhagen Tolstrup, Janne; Master of human biology, PhD; University of Southern Denmark, National Institute of Public Health, Center for Alcohol Research; Copenhagen The study has received funding from The Danish National Board of Health INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 3

Background: Why web-based interventions? Approx. 860.000 heavy drinkers in Denmark Hvidtfeldt, U.A. et al. National Institute of Public Health 2008. Has the opportunity of reaching large numbers of individuals who are otherwise unwilling, not ready or not motivated to seek help Involves no clinical contact Can be conducted anonymously Can be accessed without limitations of distance Sobell et al. Alcohol Clin Exp Res 2002; Bendtsen et al. Addict Behav 2006; Kypri et al. Addiction 2004; Rooke et al Addiction 2010 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 4

Heavy drinking: definition Weekly alcohol consumption above the Danish sensible drinking limits 14 units = 168 grams of alcohol for women 21 units = 252 grams for men 1 standard drink = 12 grams of pure alcohol INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 5

Introduction & Aim Danish Health Examination survey (2007 2008): 54,158 persons were screened for heavy drinking Web-based questionnaire To determine whether a webbased personalized feedback and web-based self-help material resulted in lowering of selfreported alcohol use in a nontreatment seeking population of heavy drinkers INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 6

Methods Randomized controlled trial (nonblinded) Participants Participants was allocated to either: An intervention group receiving webbased personalized normative feedback Personalized normative feedback Selfhelp material Control An intervention group receiving webbased self-help material A control group receiving nothing Baseline 6 month follow up 12 month follow up Outcome measure: reduction in weekly alcohol consumption INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 7

How did it work? 1. People received an invitation letter inviting them to participate in a National Health Examination Survey (DANHES) 2. Participants completed a Web-based questionnaire 3. An automated screening process identified heavy drinkers 4. Heavy drinkers received an e-mail inviting them to participate in an intervention study 5. By clicking on a link in the e-mail invitees were directed to a web page explaining them about the intervention study 6. When joining the study participants were automatically randomized and immediately directed to a web page presenting them to the interventions or control INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 8

Core features of the web-based personalized normative feedback Information about health consequences of heavy drinking A graph comparing weekly alcohol consumption with that of the average population INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 9

Why Personalized Normative Feedback? Norms are important! - People compare their own habits to that of people around them - If no discrepancy change is unlikely to occur Change is triggered by a perceived discrepancy between present and desired states By a comparison between one s own drinking and other peoples actual drinking discrepancy becomes explicit Miller: Motivational Factors in Addictive Behaviours 2006; Neighbors et al.: Health Psychol 2006. INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 10

Flow-chart INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 11

Results (intention-to-treat analysis n=1381) Alcohol consumption at follow-up by study group 6 month Standard Self-help material 23,8 Normative feedback 22,2 Control 23,7 Difference -1,5 Difference in alcohol consumption between baseline and follow-up 6 month Standard Self-help material -3,8 Normative feedback -5,4 Control -2,9 12 month Standard Self-help material 21,7 Normative feedback 20,9 Control 21,9 Difference -1 P=0,1803 P=0,469 12 month Standard Self-help material -6,1 Normative feedback -6,8 Control -4,8 # Number of self-reported drinks in a typical week INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 12 P=0,055 / P=0,200

Resultats (completers analysis n=872/1066) Alcohol consumption at follow-up by study group 6 month Standard Self-help material 21,9 Normative feedback 19 Control 21,6 Difference -2,6 Difference in alcohol consumption between baseline and follow-up 6 month Standard Self-help material -6,1 Normative feedback -8,9 Control -4,5 12 month Standard Self-help material 20,1 Normativ feedback 19,6 Control 20,8 Difference -1,2 12 month Standard Self-help material -7,3 Normative feedback -8,1 Control -5,6 # Number of self-reported drinks in a typical week P=0.012 P=0.345 P=0.001 P=0.095 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 13

Results (completers analysis): Women # 10 15 20 25 # 10 15 20 25 control normative_feedback 0 5 10 15 selfhelp_material 0 5 10 15 month 95% CI Mean alcohol-consumption: Women 6 month (n=390) Self-help material Normative feedback Standard 16.6 14.2 Control 16.2 Difference -2 12 month (n=468) Self-help material Standard drinks 14.4 Graphs by intervention group # Number of self-reported drinks in a typical week. Normative feedback 14.4 Control 16.2 Difference -1.8 Non-significant P=0.482 / 0.317 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 14

Results (completers analysis): Men # 20 25 30 35 # control selfhelp_material normative_feedback 0 5 10 15 6 month (n=482) Standard Self-help material 26.2 Normative feedback 22.8 Control 26.2 20 25 30 35 0 5 10 15 month 95% CI Mean alcohol-consumption: Men Graphs by intervention group Difference -3.4* 12 month (n=598) Standard drinks Self-help material 24.6 Normative feedback 23.5 # Number of self-reported drinks in a typical week. Control 24.6 Difference -1.1 *P=0.016 / 0.454 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 15

Reflections on feasibility 41 % accepted to participate Many invitations did never reach their destination, due to spam filters, wrong e-mail adresses etc. (1181 did not respond to invitation) Some invitees reacted rather negatively to our intervention study (non-treatment seeking population) INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 16

Conclusions We found no clear evidence indicating that a brief web-based personalized feedback intervention or a self-help material intervention could lead to a reduction in self-reported alcohol consumption A completers analysis provides preliminary support for the efficacy of a personalized feedback intervention (only for men) INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 17

Discussion Possible mechanism and explanations for the findings Highly motivated participants Non-blinded nature of the study Assessment effects (intervention effect of the research procedures) Regression to the mean Social desirability bias / Self-reported alcohol consumption Moyer A, Finney JW. Outcomes for untreated individuals involved in randomized trials of alcohol treatment. J Subst Abuse Treat 2002; 23: 247-52. Kypri K. Methodological issues in alcohol screening and brief intervention research. Subst Abus 2007; 28(3):31-42 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 18

Implications for further research Normative personalized feedback may have a role in future webbased interventions Comparing the participant s alcohol use with that of a demographically similar comparison group seems in our study to be crucial to efficacy A recent meta-analysis indicates that minimal-contact interventions that have fewer sessions and can be accessed from home may be as effective as high-cost labour-intensive interventions Rooke et al. Addiction 2010 Another recent meta-analysis reports:...inconsistent evidence on the effectiveness of electronic screening and brief intervention for alcohol use. Bewick et al. Preventive Medicine 2008 INEBRIA 2010 Anders Blædel Gottlieb Hansen Side 19