An Updated Mortality and Community Discharge Prognostic Model for Older Adults Admitted to Skilled Nursing Facilities for Post-Acute Care

Incorporating MDS data from the first 7 days of SNF admission improved the accuracy of predictions of 6-month mortality and successful community discharge.

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Publication Details

Journal
Journal of the American Medical Directors Association
Published
2026-02-12
DOI
https://doi.org/10.1016/j.jamda.2025.106103
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

An Updated Mortality and Community Discharge Prognostic Model for Older Adults Admitted to Skilled Nursing Facilities for Post-Acute Care

Kenneth C. Lam, Bocheng Jing, SM Lee, Siqi Gan et al.
Journal of the American Medical Directors Association
Sepsis Diagnosis and Treatment
article

An Updated Mortality and Community Discharge Prognostic Model for Older Adults Admitted to Skilled Nursing Facilities for Post-Acute Care

Kenneth C. Lam, Bocheng Jing, SM Lee, Siqi Gan, Alexander K Smith, W John Boscardin, W James Deardorff
article en

Abstract

Incorporating MDS data from the first 7 days of SNF admission improved the accuracy of predictions of 6-month mortality and successful community discharge.

Journal of the American Medical Directors AssociationVol. 27(4)
San Francisco VA Medical Center (US), University of California, San Francisco (US), San Francisco VA Health Care System (US), Northern California Institute for Research and Education (US), University of San Francisco (US), University of Colorado Denver (US)
U.S. Department of Veterans Affairs, National Institutes of Health, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 66%
Sepsis Diagnosis and Treatment
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An Updated Mortality and Community Discharge Prognostic Model for Older Adults Admitted to Skilled Nursing Facilities for Post-Acute Care — Kenneth C. Lam, Bocheng Jing, et al. · Journal of the American Medical Directors Association (2026) | TGRS Research Map | TGRS