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Approaches to Identify Nursing Home Specialists Using Medicare Claims Data

Datos Bibliográficos

ID9104568
AutoresMelissa R Riester (0000-0003-2196-0134, Department of Epidemiology, Brown University School of Public Health, Providence, RI, autor de correspondencia), Kira L Ryskina (0000-0003-3379-6394, Division of General Internal Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA), Elizabeth M White (0000-0003-4175-8662, Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI), Kaleen N Hayes (0000-0002-1122-0071, Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI), Daniel A Harris (0000-0003-4318-7373, Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI), Andrew R Zullo (0000-0003-1673-4570, Department of Epidemiology, Brown University School of Public Health, Providence, RI, autor de correspondencia)
Año2025
Volumen63
Número7
Páginas520-528
Fecha de publicación2025-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002161
PMID40307676
OpenAlexW4410010091
IdiomaEN
Referencias citadas24

BACKGROUND: Physicians and advanced practice clinicians who practice in nursing homes (NHs) are becoming increasingly specialized. Studies have identified clinicians as NH specialists using multiple data sources; yet, researchers' access to several sources may be limited due to required data purchases. OBJECTIVE: Examine the concordance of 2 approaches to measure NH specialization versus a standard approach using clinician-level Medicare Data on Provider Practice and Specialty (MD-PPAS). These alternative approaches leveraged: (1) publicly available clinician-level Medicare Part B data; and (2) patient-level Medicare Part D Event claims linked to publicly available clinician-level Medicare Part D prescribers data. RESEARCH DESIGN: Yearly cross-sections from 2016 to 2020. SUBJECTS: Physicians and advanced practice clinicians with at least one Medicare-paid service to NH residents and at least 100 total services in a given year. MEASURES: Nursing home specialists were classified as clinicians with ≥90% of annual services provided to NH residents. RESULTS: Between 2016 and 2020, NH specialists comprised 49,542 of 321,267 eligible clinician-years (15.4%) in MD-PPAS data; 35,983 of 189,992 eligible clinician-years (18.9%) in Part B data; and 31,148 of 1,101,484 eligible clinician-years (2.8%) in Part D data. Compared with the MD-PPAS approach, the concordance was greater for the Part B approach (sensitivity 71.8%, specificity 99.7%) than the Part D approach (39.4%, 97.6%). CONCLUSIONS: There were large differences in the numbers of eligible clinicians and NH specialists identified by 3 approaches. The Part B approach was reasonably concordant with the MD-PPAS approach and could be considered by researchers without the financial resources required to purchase MD-PPAS data

Data science · Family medicine · MEDLINE · Nursing homes · Computer Science · Geriatric Care and Nursing Homes · Medicine · Nursing · Nursing Roles and Practices · Primary Care and Health Outcomes

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