Depression Clinical Trial
Official title:
Evaluation of the Effectiveness of Rational Emotive Behavioral Therapy (REBT/CBT) as an Intervention Tool in Clinical Social Work Consultation to Primary Care.
Introduction: Minor psychiatric disorders are important in primary care, because of its high
prevalence and consumption of healthcare resources generated.
Objective: Evaluate the effectiveness of rational emotive behavioral therapy (REBT), as an
instrument of social work intervention to enhance changes in the parameters of quality of
life, medical consultations and drug use in patients with dysthymia.
Design: Multicenter, prospective, not randomized clinical trial, with intervention and
control group simultaneously in urban primary care settings and 1 year of follow up.
Participants: Out-patients seen in two Primary Care centers diagnosed with dysthymia
according to DSM-IV classification of American Psychiatric Association.
Intervention: Subjects receive up to 8 biweekly individual sessions of thirty minutes of
REBT administered by the Social Worker.
Variables: Demographic data, educational level, coexistence, comorbidity, quality of life
assessment, severity of depression, number of visits to the General Practitioner (GP) and
drug consumption: sedatives / antidepressants.
Expected Results: The expected results of the intervention, estimated from previous data,
are:
- A decrease in attendance at medical visits per year
- An improvement in perceived quality of life, measured as values of the Quality of Life
(QOL) questionnaire (Baker & Intagliata)
- An improvement in severity of depression, measured according to the Beck Depression
Inventory.
- A reduction of treatment with psychotropic drugs (sedatives and antidepressants).
Potential impact expected: The investigators hope that rational emotive theory is an
effective intervention method for handling minor psychiatric disorders in clinical social
work.
The calculation of the size of the population sample was performed for the worst case
comparison of different outcome variables, so for a final ratio of 8% people taking
hypnotics in IG versus 37% in the CG, with significance level of 5% and a statistical power
of 80%, previewing a 20% loss to follow-up and a ratio of 1 control per case, we need 50
individuals in the CG and 50 individuals in the IG.
Regarding to the attendance to primary care centers, was categorized as "improved" and "not
improved or remains the same." "Improvement" is when the number of visits decrease over the
previous year, comparing baseline data with respect 12 months. Also, improvement in the use
of psychotropic medication is when intakes fall in the previous year by comparing baseline
data with respect 12 months. When no data were available at 12 months, the comparison was
made with data collected at 4 months.
Patients in IG were recruited from primary care center Sant Andreu, while the CG were
enrolled in the primary care center in Martorell. The selection of the two groups in
separate centers was determined to avoid the possible effects of contamination bias of the
CBT-REBT. In the IG, each physician systematically derived patients with inclusion criteria
to the social worker. In the CG, the physician made ordinary care task. In both groups, the
number of visits to primary care centers and consumption of psychotropic drugs were
extracted from the medical record and other information was obtained through interviews at
baseline, 4 and 12 months.
All patients signed informed consent at baseline. In order to recruit homogeneous cases,
clearly diagnosed and ensure comparability training for all recruiters was conducted.
Collection forms and the database did not include confidential information to ensure
confidentiality and anonymity, keeping a separately single list with relation to the number
of each case.
Access data base was used to systematize the registration data collection and handling
errors by different professionals. Previous comparison of baseline data between completers
and dropouts, as well as between the IG and CG was performed by Chi-square and mean
comparison. A descriptive analysis of baseline variables as frequencies, means, and
dispersion measures was carried out. For the analysis of post-intervention improvement in
outcome parameters in one group compared with another, only data from the baseline and 12
months were taken into account. Bivariate and multivariate analysis was performed using
logistic regression to control for confounding factors. Values less than 0.05 were
considered significant. The SPSS 18 software was used.
;
Allocation: Non-Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Treatment
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