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Presented by Alexander J. Cowell

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1 Presented by Alexander J. Cowell
Brief Intervention Costs in Two Populations in the United States: College Students and US Air Force Personnel Presented by Alexander J. Cowell Presented at INEBRIA, Gateshead, UK October 9, 2009

2 Acknowledgments PI for both is Dr. Janice Brown Air Force College
Many colleagues and collaborators at RTI and US Air Force Yuta Masuda and Brendan Wedehase Funding from Department of Defense W81XWH College Many colleagues and collaborators at RTI and study site National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health R01 AA 10/15/2017

3 Background Intervene with risky drinkers
Both populations have problem drinkers Young adults aged 18 to 25 are the age group with the highest rates of heavy alcohol use Air Force population: In 2005, 10.3% of Air Force personnel in the sample reported heavy drinking over the past 30 days (Bray and Hourani, 2007) College population: In 2001, 44% of college students in the sample reported binge drinking (Wechsler et al., 2002) Little known about cost of MI for these groups AF drinking: Bray, RM, and LL Hourani "Substance use trends among active duty military personnel: findings from the United States Department of Defense Health Related Behavior Surveys, " Addiction 102, no. 7: CINAHL Plus with Full Text, EBSCOhost (accessed October 1, 2009). The drinking level and classification was created with an algorithm consisting of eight items that inquired about the frequency of drinking and amount of each type of beverage (beer, wine or hard liquor) and classified respondents into drinking categories ranging from abstainer to heavy drinker. College drinking: WECHSLER, H., LEE, J.E., KUO, M., SEIBRING, M., NELSON, T.F., AND LEE, H. Trends in college binge drinking during a period of increased prevention efforts: Findings from 4 Harvard School of Public Health College Alcohol Study surveys: J. Amer. Coll. Hlth 50: , 2002b. 10/15/2017

4 Methods: Treatment Groups
Air Force 4 bases 3 study arms Treatment as Usual (TAU) A full day of alcohol education and information sessions 6-10 hour session Group MI (GMI) MI in a group of 3 – 5 2-2.5 hour session Individual MI (IMI) Usual MI hour session College 1 university campus 4 study arms Assessment Only No treatment Feedback Feedback report based on participant drinking habits MI Only MI with Feedback 10/15/2017

5 Methods: Main Study Eligibility Outcomes Preliminary screening
Air Force: referral College: at recruitment AUDIT or other screening Exclude dependents Include risky drinkers Outcomes Survey Number of drinking days in past 30 days Number of heavy episodic drinking days in past 30 days Average drinks per drinking day 10/15/2017

6 Methods: Economic Evaluation
Cost Perspective Air Force and client College Cost = P * Q Price From various records Quantity Detailed records of activities Log kept by interventionists 10/15/2017

7 RESULTS Air Force 10/15/2017

8 Startup Costs (€2009) 10/15/2017

9 Time per Intervention (minutes)
10/15/2017

10 Cost per Client of Providing the Intervention (€2009)
10/15/2017

11 Cost per Client of Client’s Time and Expenses (€2009)
10/15/2017

12 Total Cost (€2009) 10/15/2017

13 RESULTS College 10/15/2017

14 Trainee Time 10/15/2017

15 Startup Costs (€2009) 10/15/2017

16 Time per Intervention (minutes)
10/15/2017

17 Cost per Intervention (€2009)
P-value for FB vs MI is 10/15/2017

18 Cost per Intervention Sensitivity Analysis (€2009)
10/15/2017

19 Comparing the Two Studies
10/15/2017

20 Comparison of Start-up Costs
10/15/2017

21 Comparison of MI Cost Average length of MI Air Force MI: 80 minutes
College MI: 33 minutes 10/15/2017

22 Discussion and Conclusion
Similar start-up costs Different implementation costs Next Step: Cost-Effectiveness Evidence for both studies of improvement in outcome Air Force Outcome study has low n and high attrition If value of client time is included, TAU is not likely to be cost-effective College Outcome study has high n and low attrition Sensitivity of conclusions to assumptions made in “feedback only” arm may well affect cost-effectiveness conclusions 10/15/2017


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