Mithuna Srinivasan
Biographic Data
| ID | 5533775 |
|---|---|
| NAME | Mithuna Srinivasan |
| GIVEN NAMES | Mithuna |
| FAMILY NAME | Srinivasan |
| SIGNATURE | SRINIVASAN M |
| AFFILIATIONS | Health Care Evaluation, NORC at the University of Chicago, Bethesda, MD |
| ORCID | 0000-0002-8749-6701 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Medicare Data Linkages for Conducting Patient-Centered Outcomes Research on Economic Outcomes
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
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
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
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
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
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
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 works) · Actuarial science (2 works) · Business (2 works) · Economic and Financial Impacts of Cancer (2 works) · Economic growth (2 works) · Economics (2 works) · Health care (2 works) · Health Systems, Economic Evaluations, Quality of Life (2 works) · Healthcare Policy and Management (2 works) · Outcomes research (2 works)