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Mithuna Srinivasan

Datos Biográficos

ID5533775
NOMBREMithuna Srinivasan
NOMBRESMithuna
APELLIDOSrinivasan
FIRMASRINIVASAN M
AFILIACIONESHealth Care Evaluation, NORC at the University of Chicago, Bethesda, MD
ORCID0000-0002-8749-6701
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS5
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H1
  • Medicare Data Linkages for Conducting Patient-Centered Outcomes Research on Economic Outcomes

    Open Access•Derek S Brown, Mithuna Srinivasan et al.•ARTICLE•Medical Care•2023•Referencias: 11

    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 variabl…

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

    Derek S Brown, Mithuna Srinivasan et al.•ARTICLE•Medical Care•2023•Referencias: 15

    BACKGROUND: Patients are increasingly interested in data on the economic burdens and impacts of health care choices; caregivers, employers, and payers are also interested in these costs. Although there have been various federal investments into patient-centered outcomes research (PCOR), an assessment of the coverage and gaps in federally funded data for PCOR economic evaluations has not been produced to date. OBJECTIVES: To classify relevant cate…

  • Cost-Related Medication Nonadherence for Older Adults Participating in SNAP, 2013–2015

    Mithuna Srinivasan, Jennifer A Pooler•ARTICLE•American Journal of Public Health•2018•Citada por: 5•Referencias: 17

    Objectives. To estimate the impact of Supplemental Nutrition Assistance Program (SNAP) participation on cost-related medication nonadherence (CRN) for older adults in the United States, with a particular focus on those who are food insecure and those threatened by hunger. Methods. We used propensity score matching to create matched intervention and comparison groups of SNAP-eligible US adults aged 60 years and older with data from the 2013–2015 N…

  • Cost-Related Medication Nonadherence for Older Adults Participating in SNAP, 2013–2015

    Mithuna Srinivasan, Jennifer A Pooler•ARTICLE•American Journal of Public Health•2018•Citada por: 5•Referencias: 17

    Objectives. To estimate the impact of Supplemental Nutrition Assistance Program (SNAP) participation on cost-related medication nonadherence (CRN) for older adults in the United States, with a particular focus on those who are food insecure and those threatened by hunger. Methods. We used propensity score matching to create matched intervention and comparison groups of SNAP-eligible US adults aged 60 years and older with data from the 2013–2015 N…

  • Cost-Related Medication Nonadherence for Older Adults Participating in SNAP, 2013–2015

    Mithuna Srinivasan, Jennifer A Pooler•ARTICLE•American Journal of Public Health•2018•Citada por: 5•Referencias: 17

    Objectives. To estimate the impact of Supplemental Nutrition Assistance Program (SNAP) participation on cost-related medication nonadherence (CRN) for older adults in the United States, with a particular focus on those who are food insecure and those threatened by hunger. Methods. We used propensity score matching to create matched intervention and comparison groups of SNAP-eligible US adults aged 60 years and older with data from the 2013–2015 N…

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

    Open Access•Derek S Brown, Mithuna Srinivasan et al.•ARTICLE•Medical Care•2023•Referencias: 11

    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 variabl…

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

    Derek S Brown, Mithuna Srinivasan et al.•ARTICLE•Medical Care•2023•Referencias: 15

    BACKGROUND: Patients are increasingly interested in data on the economic burdens and impacts of health care choices; caregivers, employers, and payers are also interested in these costs. Although there have been various federal investments into patient-centered outcomes research (PCOR), an assessment of the coverage and gaps in federally funded data for PCOR economic evaluations has not been produced to date. OBJECTIVES: To classify relevant cate…

Medicine (3 obras) · Actuarial science (2 obras) · Business (2 obras) · Economic and Financial Impacts of Cancer (2 obras) · Economic growth (2 obras) · Economics (2 obras) · Health care (2 obras) · Health Systems, Economic Evaluations, Quality of Life (2 obras) · Healthcare Policy and Management (2 obras) · Outcomes research (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae