EC Psychology and Psychiatry

Global harmful alcohol use accounted for 5.9% of deaths, 5.1% disease burden in 2012 [43]. In Zambia, 15.6% drinks, where heavy consumption stands at 43.7%. The aim of this study was to investigate the effect of CBT in treatment of patients (pts) with alcohol dependence. The first specific objective to determine the differences in treatment outcome between CBT and non-CBT patients with alcohol dependence, was analyzed by MANOVA. The second objective to evaluate the effect of demographic factors on CBT treatment outcome in patients with alcohol dependence was analyzed by general regression analysis. The third objective to find out whether CBT had different effect on some alcohol dependence variables and not others was analyzed by MANOVA. The study design was randomized controlled trial (RCT) having intervention and control groups. Intervention group received [8] CBT sessions on a weekly basis whereas control group received treatment as usual. All patients met the DSM V and AUDIT diagnostic criteria for alcohol dependence. Using CI 95%, 0.05 alpha and power of 1-beta (80%), the sample size was calculated at 50 and was divided into two groups. Patients were recruitment by systematic sampling every third patient. Probability sampling was used to assign patients to intervention or control group. MANOVA to determine the differences in treatment outcome between CBT and non-CBT patients with alcohol dependence was not statically significant in pretest, P > 0.05 = 0.23, but the results showed statistical significance in post test data, P < 0.05 = 0.01. Hence, the alternative hypothesis was not rejected. The general linear regression model for the second object demonstrated that demographic factors were not statistically significant neither in CBT group data nor in the control group data, that is equal to 0.29, P > 0.05 and 0.38, P > 0.05. Furthermore, MANOVA analysis showed inferential statistical significance in all the alcohol dependence variables with the overall sig. 0.001, P < 0.05. Each of the variables was represented by statistical significance of 0.001. Thus, CBT presented statistical significance on each and every variable of alcohol dependence. Therefore, CBT is more effective in treatment of patients with alcohol dependence than standard treatment.

Keywords: Effect; Cognitive-Behavioural Therapy; Alcohol Dependence

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