Analysis of the Reduction in the Duration of Sick Leave for 32,512 Psoriasis Patients Following the Integration of Targeted Therapies for Psoriatic Disease into the Brazilian Healthcare System: a Retrospective Cohort Study.
Luiza Ferreira Vieira D'Almeida, Gleison Vieira Duarte, Marcos Paulo Godinho, Louise Habka Cariello, George Jó Bezerra Sousa, Ciro Martins Gomes
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引用次数: 0
Abstract
Purpose: The Brazilian Unified Health System is an interesting model for international healthcare innovation analysis. Covering over 200 million people, this system stands out as one of the largest purchasers of healthcare technologies worldwide. Our goal in this study was to evaluate how targeted therapies reduce the duration of sick leave for psoriasis patients.
Patients and methods: We conducted a retrospective cohort study within the Brazilian National Institute of Social Security. The primary outcome was the return to work (cessation of sick leave) of patients with psoriasis. Factors such as age, sex, and access to targeted therapies were evaluated using a Cox proportional hazards model.
Results: Over the 25-year period from 1998 to 2023, 32,512 benefits were granted for psoriasis, totalling an expenditure of $577,478,002.15. Public access to psoriatic arthritis (PsA)-targeted therapies decreased the average minimum wage granted to psoriasis patients on sick leave by 22%, and public access to psoriasis-targeted therapies reduced the average wage by 7%. The availability of these therapies was associated with earlier cessation of sick leave in our proportional hazards model (targeted therapies for PsA: hazard ratio (HR) = 1.90, 95% confidence interval (CI) = 1.82-2.00; targeted therapies for psoriasis: HR = 1.63, 95% CI = 1.54-1.70).
Conclusion: This study highlights a remarkable reduction in costs and sick leave duration due to the implementation of therapies for psoriatic disease by the Brazilian Unified Health System, which underscores the importance of considering detailed indirect cost data when evaluating new health technologies for large populations.