Carolyn T Thorpe1, Joshua M Thorpe2, Tao Jiang3, Dylan Atkinson4, Yihuang Kang5, Loren J Schleiden2, Delesha M Carpenter6, Julie Anne G McGregor7, Susan L Hogan8. 1. Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, 3501 Terrace Street, Pittsburgh, PA 15261; Veterans Affairs Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, University Drive (151C), Building 30, Pittsburgh, PA 15240. Electronic address: ctthorpe@pitt.edu. 2. Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, 3501 Terrace Street, Pittsburgh, PA 15261; Veterans Affairs Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, University Drive (151C), Building 30, Pittsburgh, PA 15240. 3. Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, 3501 Terrace Street, Pittsburgh, PA 15261; Division of Geriatric Medicine, University of Pittsburgh School of Medicine, 3471 Fifth Ave., Kaufmann Medical Building, Suite 500, Pittsburgh, PA 15261; First Coast Service Options, Inc., Department of Statistical Medical Data Analysis, 532 Riverside Ave., Jacksonville, FL 32202. 4. Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, 3501 Terrace Street, Pittsburgh, PA 15261. 5. Division of Geriatric Medicine, University of Pittsburgh School of Medicine, 3471 Fifth Ave., Kaufmann Medical Building, Suite 500, Pittsburgh, PA 15261; Department of Information Management, National Sun-Yat-sen University, 70 Lienhai Rd, Kaohsiung 80424, Taiwan. 6. Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy, One University Heights, CPO 2125, Asheville, NC 28804. 7. UNC Kidney Center and Division of Nephrology & Hypertension, University of North Carolina School of Medicine, 7009 Burnett-Womack, Chapel Hill, NC 27599; Triangle Integrative Medicine Associates, 55 Vilcom Center Dr. #100, Chapel Hill, NC 27514. 8. UNC Kidney Center and Division of Nephrology & Hypertension, University of North Carolina School of Medicine, 7009 Burnett-Womack, Chapel Hill, NC 27599.
Abstract
OBJECTIVE: The Medicare federal insurance program is the most common United States insurer of patients with systemic vasculitis (SV). We compared healthcare utilization and expenditures for Medicare beneficiaries with versus without SV. METHODS: This national, retrospective study used 2010 claims and enrollment data for a 100% cohort of Medicare Part A and B beneficiaries with ≥1 claim including a diagnosis for a form of SV (n = 176,498), and a randomly selected group of non-SV beneficiaries (n = 46,561). Outcomes included annual counts of events in 16 categories of medical services (e.g., inpatient stays, physician visits, tests, and imaging events), and total annual Medicare and patient medical expenditures. We used linear regression with bootstrapped standard errors to compare utilization and expenditures by SV status, before and after matching on age and sex. Prescription drug fills and expenditures for SV (n = 95,157) and non-SV (n = 24,992) beneficiaries with Part D drug benefits were also compared. RESULTS: After matching, Medicare spent $11,004 more per patient in 2010 for medical services, and $773 more on prescription drugs, for SV versus non-SV beneficiaries. SV beneficiaries spent $1547 more for medical services and $211 more for prescription drugs. Except for hospice, SV beneficiaries had greater utilization of all services, including two-to-three times more dialysis events, hospital readmissions, inpatient stays, skilled nursing facility stays, and medical tests. CONCLUSIONS: The average Medicare beneficiary with SV incurs about double the annual healthcare expenditures compared to their non-SV counterparts, attributable to increased utilization of almost all categories of care. Published by Elsevier Inc.
OBJECTIVE: The Medicare federal insurance program is the most common United States insurer of patients with systemic vasculitis (SV). We compared healthcare utilization and expenditures for Medicare beneficiaries with versus without SV. METHODS: This national, retrospective study used 2010 claims and enrollment data for a 100% cohort of Medicare Part A and B beneficiaries with ≥1 claim including a diagnosis for a form of SV (n = 176,498), and a randomly selected group of non-SV beneficiaries (n = 46,561). Outcomes included annual counts of events in 16 categories of medical services (e.g., inpatient stays, physician visits, tests, and imaging events), and total annual Medicare and patient medical expenditures. We used linear regression with bootstrapped standard errors to compare utilization and expenditures by SV status, before and after matching on age and sex. Prescription drug fills and expenditures for SV (n = 95,157) and non-SV (n = 24,992) beneficiaries with Part D drug benefits were also compared. RESULTS: After matching, Medicare spent $11,004 more per patient in 2010 for medical services, and $773 more on prescription drugs, for SV versus non-SV beneficiaries. SV beneficiaries spent $1547 more for medical services and $211 more for prescription drugs. Except for hospice, SV beneficiaries had greater utilization of all services, including two-to-three times more dialysis events, hospital readmissions, inpatient stays, skilled nursing facility stays, and medical tests. CONCLUSIONS: The average Medicare beneficiary with SV incurs about double the annual healthcare expenditures compared to their non-SV counterparts, attributable to increased utilization of almost all categories of care. Published by Elsevier Inc.
Authors: J C Jennette; R J Falk; P A Bacon; N Basu; M C Cid; F Ferrario; L F Flores-Suarez; W L Gross; L Guillevin; E C Hagen; G S Hoffman; D R Jayne; C G M Kallenberg; P Lamprecht; C A Langford; R A Luqmani; A D Mahr; E L Matteson; P A Merkel; S Ozen; C D Pusey; N Rasmussen; A J Rees; D G I Scott; U Specks; J H Stone; K Takahashi; R A Watts Journal: Arthritis Rheum Date: 2013-01
Authors: Rachael L Fleurence; Lesley H Curtis; Robert M Califf; Richard Platt; Joe V Selby; Jeffrey S Brown Journal: J Am Med Inform Assoc Date: 2014-05-12 Impact factor: 4.497
Authors: Joehl T Nguyen; Courtney Roberts; Carolyn T Thorpe; Joshua M Thorpe; Susan L Hogan; Julie McGregor; Lorie Geryk; Delesha M Carpenter Journal: Musculoskeletal Care Date: 2019-03-22