Literature DB >> 28792299

Impact of Medicaid prescription copayments on use of antipsychotics and other medications in patients with schizophrenia.

Jalpa A Doshi1,2, Pengxiang Li1,2, Sunita Desai3, Steven C Marcus4.   

Abstract

OBJECTIVE: To assess the impact of Medicaid prescription copayment policies on anti-psychotic and other medication use among patients with schizophrenia.
METHOD: The study sample included fee-for-service adult Medicaid patients with schizophrenia. Medicaid claims records from 2003-2005 from 42 states and D.C. were linked with county-level data from the Area Resource File and findings from a state Medicaid policy survey. Patient-level fixed-effects regression models examined the impact of increases in generic copayments and generic/brand copayment differentials on monthly use of anti-psychotic (overall and by generic/brand status) and other non-antipsychotic medications. Medications for hypertension, hyperlipidemia, and diabetes in sub-groups of patients with these comorbidities were also examined.
RESULTS: Prescription copayment changes had a statistically significant but small impact on anti-psychotic use. For instance, for every $1 increase in the minimum or generic copayment per prescription, there was a reduction of 1.4 anti-psychotic drug fills per 100 patient months (relative reduction = 1.9%). The generic/brand copayment differential increases also had a minimal impact in changing utilization of first-generation (generic) and second-generation (brand) anti-psychotics. Effects of copayment changes on non-anti-psychotic medication use were substantially higher; for each $1 generic copayment increase, there was a reduction of 23 non-anti-psychotic drug fills per 100 patient months (relative reduction = 10.1%). Similarly, for each $1 increase in the generic/brand copayment differential, there was a reduction of 15 non-anti-psychotic drug fills (relative reduction = 5.6%). Reductions in the number of prescriptions filled for antidiabetics, antihypertensives, and lipid-lowering agents were 4-11-fold higher than corresponding reductions for anti-psychotics. LIMITATIONS: Because federal law requires pharmacists to fill medications for Medicaid patients regardless of the ability to pay, these results may under-estimate the true impact of copayment increases.
CONCLUSIONS: Medicaid prescription copayment increases resulted in only a minimal decline in anti-psychotic medication use, but much larger reductions in use of other medications, particularly cardiometabolic medications.

Entities:  

Keywords:  Medicaid; anti-psychotics; copayments; out-of-pocket costs; schizophrenia

Mesh:

Substances:

Year:  2017        PMID: 28792299     DOI: 10.1080/13696998.2017.1365720

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


  5 in total

1.  Insurance Status and Continuity for Young Adults With First-Episode Psychosis.

Authors:  Ezra Golberstein; Susan H Busch; Kyaw Sint; Robert A Rosenheck
Journal:  Psychiatr Serv       Date:  2021-05-11       Impact factor: 4.157

2.  Cost-Sharing Increase, Medication Adherence, and Hospitalizations in Schizophrenia Patients: A Natural Experiment.

Authors:  Miquel Serra-Burriel; Isabel Hurtado; Gabriel Sanfélix-Gimeno; Aníbal García-Sempere; Salvador Peiró
Journal:  Clin Pharmacol Ther       Date:  2021-05-28       Impact factor: 6.903

3.  Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan's National Health Insurance System.

Authors:  Ya-Ling Lin; Wen-Yi Chen; Shwn-Huey Shieh
Journal:  Int J Environ Res Public Health       Date:  2020-06-12       Impact factor: 3.390

4.  Insurance impacts survival for children, adolescents, and young adults with bone and soft tissue sarcomas.

Authors:  Neela L Penumarthy; Robert E Goldsby; Stephen C Shiboski; Rosanna Wustrack; Patricia Murphy; Lena E Winestone
Journal:  Cancer Med       Date:  2019-12-15       Impact factor: 4.452

5.  Medication Use and Health Care Utilization After a Cost-sharing Increase in Schizophrenia: A Nationwide Analysis.

Authors:  Aleksi Hamina; Antti Tanskanen; Jari Tiihonen; Heidi Taipale
Journal:  Med Care       Date:  2020-09       Impact factor: 3.178

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.