Clinical and cost-effectiveness of computerised cognitive behavioural therapy for depression in primary care: Design of a randomised trial

<p>Abstract</p> <p>Background</p> <p>Major depression is a common mental health problem in the general population, associated with a substantial impact on quality of life and societal costs. However, many depressed patients in primary care do not receive the care they need. Reason for this is that pharmacotherapy is only effective in severely depressed patients and psychological treatments in primary care are scarce and costly. A more feasible treatment in primary care might be computerised cognitive behavioural therapy. This can be a self-help computer program based on the principles of cognitive behavioural therapy. Although previous studies suggest that computerised cognitive behavioural therapy is effective, more research is necessary. Therefore, the objective of the current study is to evaluate the (cost-) effectiveness of online computerised cognitive behavioural therapy for depression in primary care.</p> <p>Methods/Design</p> <p>In a randomised trial we will compare (a) computerised cognitive behavioural therapy with (b) treatment as usual by a GP, and (c) computerised cognitive behavioural therapy in combination with usual GP care. Three hundred mild to moderately depressed patients (aged 18–65) will be recruited in the general population by means of a large-scale Internet-based screening (<it>N </it>= 200,000). Patients will be randomly allocated to one of the three treatment groups. Primary outcome measure of the clinical evaluation is the severity of depression. Other outcomes include psychological distress, social functioning, and dysfunctional beliefs. The economic evaluation will be performed from a societal perspective, in which all costs will be related to clinical effectiveness and health-related quality of life. All outcome assessments will take place on the Internet at baseline, two, three, six, nine, and twelve months. Costs are measured on a monthly basis. A time horizon of one year will be used without long-term extrapolation of either costs or quality of life.</p> <p>Discussion</p> <p>Although computerised cognitive behavioural therapy is a promising treatment for depression in primary care, more research is needed. The effectiveness of online computerised cognitive behavioural therapy without support remains to be evaluated as well as the effects of computerised cognitive behavioural therapy in combination with usual GP care. Economic evaluation is also needed. Methodological strengths and weaknesses are discussed.</p> <p>Trial registration</p> <p>The study has been registered at the Netherlands Trial Register, part of the Dutch Cochrane Centre (ISRCTN47481236).</p

Poverty, life events and the risk for depression in Uganda.

BACKGROUND: Understanding the determinants of major depression in sub-Saharan Africa is important for planning effective intervention strategies. OBJECTIVE: To investigate the social and life-event determinants of major depressive disorder in the African sociocultural context of rural Uganda. METHODS: A cross-section survey was carried out in 14 districts in Uganda from 1 June 2003 to 30 October 2004. 4,660 randomly selected respondents (15 years and above) were interviewed. The primary outcome was the presence of 'probable major depressive disorder' (PMDD) as assessed by the Hopkins symptom checklist. RESULTS: The prevalence of PMDD was 29.3% (95% confidence interval, 28.0-30.6%). Factors independently associated with depression in both genders included: the ecological factor, district; age (increase with each age category after 35 years); indices of poverty and deprivation (no formal education, having no employment, broken family, and socioeconomic classes III-V). Only a few adverse life events, notably those suggestive of a disrupted family background (death of a father in females and death of a mother in males) were associated with increased risk. CONCLUSION: Socioeconomic and sociodemographic factors, operating at both ecological and the individual level are the strongest independent determinants of depression. Adverse life events were less strongly associated with depression in this sample