Comprehensive analysis of trends in Medicare utilization and reimbursement in Physical MedicineRehabilitation: 2012 to 2017
Autor: | Alex Han, Alexios G. Carayannopoulos |
---|---|
Rok vydání: | 2021 |
Předmět: |
Baclofen
Botulinum Toxins Gini coefficient business.industry Cost effectiveness Rehabilitation Beneficiary Physical Therapy Sports Therapy and Rehabilitation Physiatrists Medicare Physical and Rehabilitation Medicine United States Neurology Health care Medicine Humans Neurology (clinical) Lorenz curve business Medicaid Reimbursement Demography Aged Retrospective Studies |
Zdroj: | PMR : the journal of injury, function, and rehabilitationREFERENCES. 14(10) |
ISSN: | 1934-1563 |
Popis: | INTRODUCTION There is an absence of literature describing Medicare utilization by physiatrists, despite their key role in treating Medicare enrollees with qualifying disabilities and common neuromusculoskeletal conditions. OBJECTIVE To analyze Medicare data regarding physiatrists and their beneficiaries, services, and reimbursement, as well as trends in utilization and geographic distribution. DESIGN AND SETTING Retrospective analysis of publicly available Centers for Medicare & Medicaid Services data for Medicare beneficiaries receiving physiatric services from 2012 to 2017. MAIN OUTCOME MEASURES After adjustment for inflation, variables assessed for changes over time included provider and beneficiary demographics, total Medicare reimbursement, and the number of services provided, subsequently separated by drug and medical service metrics. Lorenz curves and Gini coefficients were computed to study reimbursement inequality. Choropleth maps were generated to assess geographic differences in physician density and reimbursement, both by state and ZIP code. RESULTS The number of physiatrists utilizing Medicare increased from 7230 to 7895 from 2012 to 2017, whereas the average number of unique beneficiaries per clinician remained constant (307 vs. 310; p = .51). The beneficiaries' mean hierarchical conditions category (HCC) health risk score, normalized to 1.0 for the average beneficiary, increased significantly from 2012 to 2017 (1.72 vs. 1.80; p |
Databáze: | OpenAIRE |
Externí odkaz: |