INVESTIGADORES
ALLEGRI Ricardo F.
artículos
Título:
Insurance status, demographic and clinical factors associated with pharmacological treatment for depression: associations in a cohort in Buenos Aires
Autor/es:
MACHNICKI G, DILLON C, ALLEGRI RF
Revista:
VALUE IN HEALTH
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: London; Año: 2011 vol. 14 p. 13 - 15
ISSN:
1098-3015
Resumen:
Objective: There is a paucity of evidence about insurance status and the likelihood of receiving medical services in Latin America. The objective of this analysis was to examine the association between insurance status and pharmacological treatment for depression. Methods: Patients referred to a memory clinic of a public hospital in Buenos Aires, Argentina, and identified with any of four types of depression (Subsyndromal, Dysthymia, Major and due to dementia) were included. Age, years of education, insurance status, Beck Depression Inventory [BDI] and number of comorbidities were considered. Associations between these factors and not receiving pharmacological treatment for depression were examined with logistic regression. Use of neuroleptics, hypnotics and anticholinesterase inhibitors prescriptions was also explored. Results: Out of 100 patients, 92 with insurance status data were used. Sixty-one patients (66%) had formal insurance and 31 patients (34%) lacked insurance. Twenty-seven (44%) of insured patients and 23 (74%) of uninsured patients did not receive antidepressants (p=0.001). Controlling for other factors, uninsured patients has 7.12 higher odds of not receiving treatment compared to insured patients (95% CI 1.88 28.86). Older patients and those with more comorbidities had higher odds of not receiving treatment. More educated patients, those with higher BDI or without subsyndromal depression had lower odds of not receiving treatment. None of those associations were statistically significant. Conclusion: These results suggest a potential negative impact of the lack of formal insurance regarding pharmacological treatment for depression. These findings should be confirmed with larger samples, and for other diseases.