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Published in: BMC Geriatrics 1/2024

Open Access 01-12-2024 | Research

Place of care in the last three years of life for Medicare beneficiaries

Authors: Haiqun Lin, Irina B. Grafova, Anum Zafar, Soko Setoguchi, Jason Roy, Fred A. Kobylarz, Ethan A. Halm, Olga F. Jarrín

Published in: BMC Geriatrics | Issue 1/2024

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Abstract

Background

Most older adults prefer aging in place; however, patients with advanced illness often need institutional care. Understanding place of care trajectory patterns may inform patient-centered care planning and health policy decisions. The purpose of this study was to characterize place of care trajectories during the last three years of life.

Methods

Linked administrative, claims, and assessment data were analyzed for a 10% random sample cohort of US Medicare beneficiaries who died in 2018, aged fifty or older, and continuously enrolled in Medicare during their last five years of life. A group-based trajectory modeling approach was used to classify beneficiaries based on the proportion of days of institutional care (hospital inpatient or skilled nursing facility) and skilled home care (home health care and home hospice) used in each quarter of the last three years of life. Associations between group membership and sociodemographic and clinical predictors were evaluated.

Results

The analytic cohort included 199,828 Medicare beneficiaries. Nine place of care trajectory groups were identified, which were categorized into three clusters: home, skilled home care, and institutional care. Over half (59%) of the beneficiaries were in the home cluster, spending their last three years mostly at home, with skilled home care and institutional care use concentrated in the final quarter of life. One-quarter (27%) of beneficiaries were in the skilled home care cluster, with heavy use of skilled home health care and home hospice; the remaining 14% were in the institutional cluster, with heavy use of nursing home and inpatient care. Factors associated with both the skilled home care and institutional care clusters were female sex, Black race, a diagnosis of dementia, and Medicaid insurance. Extended use of skilled home care was more prevalent in southern states, and extended institutional care was more prevalent in midwestern states.

Conclusions

This study identified distinct patterns of place of care trajectories that varied in the timing and duration of institutional and skilled home care use during the last three years of life. Clinical, socioregional, and health policy factors influenced where patients received care. Our findings can help to inform personal and societal care planning.
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Literature
1.
go back to reference Wang L, Lakin J, Riley C, Korach Z, Frain LN, Zhou L. Disease trajectories and end-of-life care for dementias: Latent topic modeling and trend analysis using clinical notes. AMIA Annual Symposium proceedings 2018:1056–1065. Wang L, Lakin J, Riley C, Korach Z, Frain LN, Zhou L. Disease trajectories and end-of-life care for dementias: Latent topic modeling and trend analysis using clinical notes. AMIA Annual Symposium proceedings 2018:1056–1065.
13.
go back to reference Nagin DS. Group-based modeling of development. Cambridge, MA: Harvard University Press; 2005.CrossRef Nagin DS. Group-based modeling of development. Cambridge, MA: Harvard University Press; 2005.CrossRef
20.
22.
go back to reference Schuler MS, Joyce NR, Huskamp HA, Lamont EB, Hatfield LA. Medicare beneficiaries with advanced Lung cancer experience diverse patterns of care from diagnosis to death. Health Aff. 2017;36(7):1193–200.CrossRef Schuler MS, Joyce NR, Huskamp HA, Lamont EB, Hatfield LA. Medicare beneficiaries with advanced Lung cancer experience diverse patterns of care from diagnosis to death. Health Aff. 2017;36(7):1193–200.CrossRef
28.
go back to reference SAS verson 9.4. (2017). SAS Institute Inc. Cary, NC, USA. SAS verson 9.4. (2017). SAS Institute Inc. Cary, NC, USA.
29.
go back to reference Schwartz G. Estimating the dimension of a model. Ann Statist. 1978;6:461–4. Schwartz G. Estimating the dimension of a model. Ann Statist. 1978;6:461–4.
37.
44.
go back to reference Ornstein KA, Ankuda CK, Leff B, Rajagopalan S, Siu AL, Harrison KL, Oh A, Reckrey JM, Ritchie CS. Medicare-funded home-based clinical care for community-dwelling persons with Dementia: an essential healthcare delivery mechanism. J Am Geriatr Soc. 2022;70:1127–35. https://doi.org/10.1111/jgs.17621. Epub 2021 Dec 22. PMID: 34936087.CrossRefPubMed Ornstein KA, Ankuda CK, Leff B, Rajagopalan S, Siu AL, Harrison KL, Oh A, Reckrey JM, Ritchie CS. Medicare-funded home-based clinical care for community-dwelling persons with Dementia: an essential healthcare delivery mechanism. J Am Geriatr Soc. 2022;70:1127–35. https://​doi.​org/​10.​1111/​jgs.​17621. Epub 2021 Dec 22. PMID: 34936087.CrossRefPubMed
58.
go back to reference Bauer DJ. Observations on the use of growth mixture models in psychological research. Multivar Behav Res. 2007;42:757–86.CrossRef Bauer DJ. Observations on the use of growth mixture models in psychological research. Multivar Behav Res. 2007;42:757–86.CrossRef
Metadata
Title
Place of care in the last three years of life for Medicare beneficiaries
Authors
Haiqun Lin
Irina B. Grafova
Anum Zafar
Soko Setoguchi
Jason Roy
Fred A. Kobylarz
Ethan A. Halm
Olga F. Jarrín
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2024
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-023-04610-w

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