Major Depressive Disorder
Conditions
Interventions
This is a cross-sectional observational study that will be conducted at the Centro de Atenção Psicossocial (CAPS-2) and the Centro de Referência Ambulatorial de Saúde Mental Adulto de Araraquara "
Dr. Ubirajaras Caldas"
(CRASMA-A) in Araraquara. The methodological reporting of the study will follow the recommendations of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Guidelines. Ini
Sponsors
Faculdade de Ciências Farmacêuticas do Câmpus de Araraquara da Universidade Estadual Paulista
Faculdade de Ciências Farmacêuticas do Câmpus de Araraquara da Universidade Estadual Paulista
Eligibility
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Patients treated by the Araraquara Centro de Referência de Saúde Mental do Adulto de Araraquara "Dr. Ubirajara Caldas" (CRASMA-A) and the Centro de Atenção Psicossocial (CAPS-2); age 18 or older; diagnosed with depression according to the 11th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the criteria of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5); using at least one medication to treat depression
Exclusion criteria
Exclusion criteria: There is no exclusion criteria
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Participants with major depressive disorder or treatment-resistant depression are expected to be identified through consultation of the multidisciplinary team's medical records, analysis of medical histories recorded by the multidisciplinary team, data collection, and review of pharmacotherapy. Furthermore, screening criteria will include physician reports, lack of response to treatment after at least two trials of antidepressants at appropriate doses and durations, concomitant use of lithium carbonate, thyroid hormones, antipsychotics, and indication for electroconvulsive therapy. The prevalence of major depressive disorder will be calculated by the ratio of the number of individuals with this diagnosis to the total number of individuals treated at the health service. The prevalence of treatment-resistant depression will be estimated by the ratio of the number of individuals with this diagnosis to the total number of individuals treated at the health service | — |
Secondary
| Measure | Time frame |
|---|---|
| We hope to identify factors potentially associated with the development of major depressive disorder and treatment-resistant depression through logistic regression models considering the outcome as a dichotomous dependent variable. Initially, a bivariate analysis will be performed between each independent variable and the corresponding outcome, estimating crude odds ratios (ORs). Variables with p = 0.20 in the bivariate analysis will be included in the multivariate model to calculate adjusted ORs and their respective 95% confidence intervals. The significance level will be set at p < 0.05 | — |
Countries
Brazil
Contacts
Public ContactMarcela Forgerini
Faculdade de Ciências Farmacêuticas da Universidade Estadual Paulista (UNESP)
Outcome results
None listed