Examining Measures of Income and Poverty in Medicare Administrative Data
Bibliographic Data
| ID | 9102912 |
|---|---|
| Authors | Lok Wong Samson (United States Department of Health and Human Services), Kenneth Finegold (United States Department of Health and Human Services), Azeem Ahmed (0009-0001-0641-0698, United States Department of Health and Human Services), Matthew Jensen (0000-0002-5153-8543, United States Department of Health and Human Services), Clara E Filice (United States Department of Health and Human Services), Karen E Joynt (United States Department of Health and Human Services) |
| Year | 2017 |
| Volume | 55 |
| Issue | 12 |
| Pages | e158-e163 |
| Publication date | 2017-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000606 |
| PMID | 29135780 |
| OpenAlex | W2497547553 |
| Language | EN |
| Citations received | 7 |
| References cited | 25 |
Disparities by economic status are observed in the health status and health outcomes of Medicare beneficiaries. For health services and health policy researchers, one barrier to addressing these disparities is the ability to use Medicare data to ascertain information about an individual’s income level or poverty, because Medicare administrative data contains limited information about individual economic status. Information gleaned from other sources—such as the Medicaid and Supplemental Security Income programs—can be used in some cases to approximate the income of Medicare beneficiaries. However, such information is limited in its availability and applicability to all beneficiaries. Neighborhood-level measures of income can be used to infer individual-level income, but level of neighborhood aggregation impacts accuracy and usability of the data. Community-level composite measures of economic status have been shown to be associated with health and health outcomes of Medicare beneficiaries and may capture neighborhood effects that are separate from individual effects, but are not readily available in Medicare data and do not serve to replace information about individual economic status. There is no single best method of obtaining income data from Medicare files, but understanding strengths and limitations of different approaches to identifying economic status will help researchers choose the best method for their particular purpose, and help policymakers interpret studies using measures of income
Actuarial science · Business · Economic growth · Economics · Environmental health · Health and Retirement Study · Health care · Health equity · Medicaid · Poverty · Public economics · Socioeconomic status · Health disparities and outcomes · Healthcare Policy and Management · Medicine · Primary Care and Health Outcomes · Gerontology
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |