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Medicare Data Linkages for Conducting Patient-Centered Outcomes Research on Economic Outcomes

Dados Bibliográficos

ID9100016
AutoresDerek S Brown (0000-0001-9908-9882, Brown School, Washington University in St. Louis, St. Louis, MO, autor correspondente), Mithuna Srinivasan (0000-0002-8749-6701, Health Care Evaluation, NORC at the University of Chicago, Bethesda, MD), Courtney Zott (0000-0002-1734-6652, Health Sciences, NORC at the University of Chicago, Chicago, IL), Kala Wilson (Health Sciences, NORC at the University of Chicago, Bethesda, MD), Prashila Dullabh (0000-0003-0241-0225, Health Sciences, NORC at the University of Chicago, Bethesda, MD), Scott R Smith (0000-0001-8870-6734, Office of the Assistant Secretary for Planning and Evaluation)
Ano2023
Volume61
Fascículo12
PáginasS122-S130
Data de publicação2023-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001896
PMID37963031
OpenAlexW4388668666
IdiomaEN
Citações recebidas1
Referências citadas11

BACKGROUND: Medicare patients and other stakeholders often make health care decisions that have economic consequences. Research on economic variables that patients have identified as important is referred to as patient-centered outcomes research (PCOR) and can generate evidence that informs decision-making. Medicare fee-for-service (FFS) claims are widely used for research and are a potentially valuable resource for studying some economic variables, particularly when linked to other datasets. OBJECTIVE: The aim of this study was to identify and assess the characteristics of federally funded administrative and survey data sources that can be linked to Medicare claims for conducting PCOR on some economic outcomes. RESEARCH DESIGN: A targeted internet search was conducted to identify a list of relevant data sources. A technical panel and key informant interviews were used for guidance and feedback. RESULTS: We identified 12 survey and 6 administrative sources of linked data for Medicare FFS beneficiaries. A majority provide longitudinal data and are updated annually. All linked sources provide some data on social determinants of health and health equity-related factors. Fifteen sources capture direct medical costs (beyond Medicare FFS payments); 5 capture indirect costs (eg, lost wages from absenteeism), and 7 capture direct nonmedical costs (eg, transportation). CONCLUSIONS: Linking Medicare FFS claims data to other federally funded data sources can facilitate research on some economic outcomes for PCOR. However, few sources capture direct nonmedical or indirect costs. Expanding linkages to include additional data sources, and reducing barriers to existing data sources, remain important objectives for increasing high-quality, patient-centered economic research

Absenteeism · Actuarial science · Business · Economic growth · Economics · Equity (law) · Health care · Health insurance · Indirect costs · Medical Expenditure Panel Survey · Outcomes research · Payment · Political science · Survey data collection · Economic and Financial Impacts of Cancer · Finance · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Medicine · Psychology

  • Economic Outcomes in Patient-Centered Outcomes Research

    Scott R Smith, Emily L Evans et al.•Medical Care•2023

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    Meghan E Short, Ron Z Goetzel et al.•Journal of Occupational &…•2009

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  • In the Shadow of a Giant

    Jeffrey Clemens, Joshua D Gottlieb•Journal of Political Economy•2016

  • Utilization of Social Determinants of Health ICD-10 Z-Codes Among Hospitalized Patients in the United States, 2016–2017

    Hannah P Truong, Alina A Luke et al.•Medical Care•2020

  • Federal Data for Conducting Patient-centered Outcomes Research on Economic Outcomes

    Derek S Brown, Mithuna Srinivasan et al.•Medical Care•2023

Obras citantes distintas1
Citações por ano0,33
Intervalo de citações2023 - 2023 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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