Literature DB >> 19450063

Antidepressant treatment patterns and costs among US employees.

Howard Birnbaum1, Paul E Greenberg, Jackson Tang, Matthew Hsieh, Eric Q Wu, Caroline Amand, Rym Ben-Hamadi.   

Abstract

OBJECTIVE: To compare medical and cost profiles of patients treated for depression classified by treatment pattern groups.
METHODS: An analysis used de-identified 1999-2004 employer claims data (n=2.9 million beneficiaries) for employees with > or =1 diagnosis of major depressive disorder and > or =1 antidepressant prescription, following a 6-month washout period of no antidepressant prescription. Patients were classified into switcher/discontinuer/augmenter/maintainer during Healthcare Effectiveness Data and Information Set-defined initial and subsequent treatment periods, then grouped into stable, intermediate, or non-stable treatment groups, based on stability of treatment patterns. Medical/cost profiles for 6-month pre- and 12-month post-index periods were compared descriptively, and multivariate regressions were estimated, controlling for baseline characteristics/severity markers. Cost savings reflect differences between treatment pattern groups from a current US perspective.
RESULTS: Of the 5,225 patients meeting inclusion criteria, 60.8% were in stable, 24.5% in intermediate and 14.7% in non-stable treatment groups. No significant differences existed in medical profiles and costs between the three groups in the pre-index period. In the post-index period, stable group patients had lower costs compared to intermediate and non-stable groups. Stable group patients generated cost savings of $1,842 compared to intermediate and $5,231 compared to non-stable groups. Multivariate analysis confirmed these findings.
CONCLUSION: Patients on a more stable treatment regimen yield significant cost savings compared to patients on a less stable regimen.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19450063     DOI: 10.3111/13696990902757389

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


  1 in total

1.  Determinants of direct cost differences among US employees with major depressive disorders using antidepressants.

Authors:  Howard G Birnbaum; Rym Ben-Hamadi; Paul E Greenberg; Matthew Hsieh; Jackson Tang; Camille Reygrobellet
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.