The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Black–White Disparities in Moves to Assisted Living and Nursing Homes Among Older Medicare Beneficiaries
Open accessAbstract
Objectives: Investigate black-white disparities in older adults’ moves to assisted living and nursing homes and draw from the Andersen Healthcare Utilization Model to test explanations for any disparities. Methods: Data are from a nationally representative sample of older community-dwelling Medicare beneficiaries from the 2015 (N = 5,212) National Health and Aging Trends Study (NHATS). We use stepwise multinomial logistic regression to examine black-white disparities in moves out of community housing to assisted living or a nursing home over 2 years, before and after adjusting for predisposing (age, gender), enabling (income, housing tenure, Medicaid, living arrangement) and need (activities of daily living [ADL] limitation, physical capacity, self-rated health, and dementia) factors. Results: Black older adults are less likely to move to assisted living and are more likely to move to a nursing home compared to white older adults. Black-white disparities in moves to nursing homes are explained by black-white differences in enabling and need factors, whereas black-white disparities in moves to assisted living remain even after adjusting for enabling and need factors. Discussion: Unmeasured factors related to systemic racism (e.g., residential racial segregation, racial discrimination) and/or black-white differences in care preferences might further explain black-white disparities in moves to assisted living and warrant further investigation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Less institutional options like assisted living and continuing care retirement communities remain financially and locationally inaccessible to many, particularly poor and Black older adults”
From Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes (2022) · cites this paper as Jenkins Morales and Robert, 2020
Citations
Cites
Societal and Individual Determinants of Medical Care Utilization in the United States
ANDERSEN, R., & NEWMAN, J. F. (2005) · The Milbank Quarterly · doi:10.1111/j.1468-0009.2005.00428.x · Cited by 3,611
Societal and Individual Determinants of Medical Care Utilization in the United States
Andersen, R., & Newman, J. F. (1973) · The Milbank Memorial Fund Quarterly. Health and Society · doi:10.2307/3349613 · Cited by 2,838
Systemic racism and U.S. health care
Feagin, J., & Bennefield, Z. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.09.006 · Cited by 819
Separate And Unequal: Racial Segregation And Disparities In Quality Across U.S. Nursing Homes
Smith, D. B., Feng, Z., Fennell, M. L., Zinn, J. S., & Mor, V. (2007) · Health Affairs · doi:10.1377/hlthaff.26.5.1448 · Cited by 258
The Persistence of Race and Ethnicity in the use of Long-Term Care
Wallace, S. P., Levy‐Storms, L., Kington, R. S., & Andersen, R. (1998) · The Journals of Gerontology Series B · doi:10.1093/geronb/53b.2.s104 · Cited by 202
Pezzin, L. E., Kemper, P. F., & Reschovsky, J. D. (1996) · The Journal of Human Resources · doi:10.2307/146270 · Cited by 196
A National Survey of Assisted Living Facilities
Hawes, C., Phillips, C. D., Rose, M. S., Holan, S. H., & Sherman, M. H. (2003) · The Gerontologist · doi:10.1093/geront/43.6.875 · Cited by 194
Feng, Z., Fennell, M. L., Tyler, D. A., Clark, M., & Mor, V. (2011) · Health Affairs · doi:10.1377/hlthaff.2011.0126 · Cited by 188
Freedman, V. A., Kasper, J. D., Cornman, J. C., Agree, E. M., Bandeen‐Roche, K., Mor, V., Spillman, B. C., Wallace, R. B., & Wolf, D. A. (2011) · The Journals of Gerontology Series A · doi:10.1093/gerona/glr087 · Cited by 175
Sizing Up The Market For Assisted Living
Stevenson, D. G., & Grabowski, D. C. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.0527 · Cited by 128
Research works printed but not linked: 5
- DeMatteis, 2016, National Health and Aging Trends Study Round 5 Sample Design and Selection
- Hernandez, 2012, Disparities in assisted living: Does it meet the HCBS test?, Generations,, 36, 118
- Kasper, 2018, National Health and Aging Trends Study (NHATS) User Guide: Rounds 1–7 Beta Release
- Kasper, 2013, Classification of Persons by Dementia Status in the National Health and Aging Trends Study
- Montaquila, 2012, National Health and Aging Trends Study Round 1 Income Imputation
Cited by
Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes
Berridge, C., & Grigorovich, A. (2022) · Frontiers in Sociology · doi:10.3389/fsoc.2022.957246 · Cited by 47
Chyr, L., Drabo, E. F., & Fabius, C. D. (2020) · The Gerontologist · doi:10.1093/geront/gnaa070 · Cited by 40
Morales, M. J., & Robert, S. (2020) · The Gerontologist · doi:10.1093/geront/gnaa052 · Cited by 32
Self-citationEstrada, L. V., Levasseur, J. L., Maxim, A., Benavidez, G. A., & Porter, K. M. P. (2022) · Health Equity · doi:10.1089/heq.2021.0190 · Cited by 33
Bolster-Foucault, C., Vedel, I., Busa, G., Hacker, G., Sourial, N., & Quesnel-Vallée, A. (2024) · Age and Ageing · doi:10.1093/ageing/afae166 · Cited by 27
Metadata
- Authors
- Jenkins Morales, M., & Robert, S. A.
- Affiliations
- School of Social Work, University of Wisconsin-Madison
- Venue
- The Journals of Gerontology: Series B
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-10-30
- Volume
- 75
- Issue
- 9
- Pages
- 1972-1982
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- PMC
- PMC7566960
- OpenAlex
- W2982369002
- Cited by
- 34
- References
- 34
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 6 · 2020: 3
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- The Journals of Gerontology Series B (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health (P30 AG017266)
- National Institute on Aging (NIA U01AG032947)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Geriatric Care and Nursing Homes
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- black-white disparities, assisted living, nursing homes, older adults, Medicare beneficiaries, housing transitions, Andersen Behavioral Model, racial discrimination, residential segregation, care preferences, activities of daily living, dementia, self-rated health
- MeSH terms
- Aged, Black or African American, Female, Medicare, Humans, Male, Nursing Homes, Patient Acceptance of Health Care, United States, Causality, Needs Assessment, Assisted Living Facilities, Black People, White People, Healthcare Disparities, Independent Living, Racism, Social Determinants of Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
