Longitudinal Patterns of Care Transitions Among First-Time Nursing Home Residents: A Five-Year Study in Minnesota

Abstract The objectives were to: 1) model the 5-year care trajectories of a cohort of first-time admissions to Minnesota nursing homes (NHs), while considering multiple outcomes of discharges to the community, NH readmission, acute hospitalizations, and mortality; and 2) determine the percentage of admissions and resident characteristics related to each trajectory. Using the Minimum Data Set and the Medicaid claims data files, we selected 11,943 residents, age 65+, admitted to Minnesota NHs in 2015 with no prior NH stays. Admissions were followed for 5 years (2015-2019) for survival and care transitions between NH, community, and acute hospitals. Latent class growth analysis was used to analyze longitudinal care trajectories. The optimal number of latent classes was four. Trajectory 1 (37%) had the shortest survival and highest initial (30-day) rate of rehospitalizations. Trajectory 2 (11%) had the second shortest survival and the highest hospitalization rate during years 4–5. These residents were initially discharged to the community but experienced a steadily increasing rate of NH readmission. Trajectory 3 (22%) demonstrated longer survival and the highest hospitalization rate during years 1-3. Trajectory 4 (30%) experienced the most successful transitions to the community and the best long-term outcomes, characterized by the fewest NH readmissions, longest survival, and lowest hospitalization rates. Our findings highlight the heterogeneity of outcomes for the NH population. The trajectories were distinguished by age, dementia, ADL dependency, and comorbid conditions. Understanding this heterogeneity is crucial for developing appropriate care models and policies to meet the needs of an increasingly diverse NH population.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3030
Primary Topic
Geriatric Care and Nursing Homes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal Patterns of Care Transitions Among First-Time Nursing Home Residents: A Five-Year Study in Minnesota

Greg Arling, Emily Garcia, Dongjuan Xu
Innovation in Aging
Geriatric Care and Nursing Homes
article

Longitudinal Patterns of Care Transitions Among First-Time Nursing Home Residents: A Five-Year Study in Minnesota

Greg Arling, Emily Garcia, Dongjuan Xu
article en

Abstract

Abstract The objectives were to: 1) model the 5-year care trajectories of a cohort of first-time admissions to Minnesota nursing homes (NHs), while considering multiple outcomes of discharges to the community, NH readmission, acute hospitalizations, and mortality; and 2) determine the percentage of admissions and resident characteristics related to each trajectory. Using the Minimum Data Set and the Medicaid claims data files, we selected 11,943 residents, age 65+, admitted to Minnesota NHs in 2015 with no prior NH stays. Admissions were followed for 5 years (2015-2019) for survival and care transitions between NH, community, and acute hospitals. Latent class growth analysis was used to analyze longitudinal care trajectories. The optimal number of latent classes was four. Trajectory 1 (37%) had the shortest survival and highest initial (30-day) rate of rehospitalizations. Trajectory 2 (11%) had the second shortest survival and the highest hospitalization rate during years 4–5. These residents were initially discharged to the community but experienced a steadily increasing rate of NH readmission. Trajectory 3 (22%) demonstrated longer survival and the highest hospitalization rate during years 1-3. Trajectory 4 (30%) experienced the most successful transitions to the community and the best long-term outcomes, characterized by the fewest NH readmissions, longest survival, and lowest hospitalization rates. Our findings highlight the heterogeneity of outcomes for the NH population. The trajectories were distinguished by age, dementia, ADL dependency, and comorbid conditions. Understanding this heterogeneity is crucial for developing appropriate care models and policies to meet the needs of an increasingly diverse NH population.

Innovation in AgingVol. 9(Supplement_2)
Purdue University West Lafayette (US)
Openalex Percentile: Top 21%
Geriatric Care and Nursing Homes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.