Literature DB >> 29500814

Predicting Potential Adverse Events During a Skilled Nursing Facility Stay: A Skilled Nursing Facility Prognosis Score.

Robert E Burke1,2,3, Edward Hess3,4, Anna E Barón4, Cari Levy3,5, Jacques D Donzé6,7.   

Abstract

OBJECTIVES: To derive a risk prediction score for potential adverse outcomes in older adults transitioning to a skilled nursing facility (SNF) from the hospital.
DESIGN: Retrospective analysis.
SETTING: Medicare Current Beneficiary Survey (2003-11). PARTICIPANTS: Previously community-dwelling Medicare beneficiaries who were hospitalized and discharged to SNF for postacute care (N=2,043). MEASUREMENTS: Risk factors included demographic characteristics, comorbidities, health status, hospital length of stay, prior SNF stays, SNF size and ownership, treatments received, physical function, and active signs or symptoms at time of SNF admission. The primary outcome was a composite of undesirable outcomes from the patient perspective, including hospital readmission during the SNF stay, long SNF stay (≥100 days), and death during the SNF stay.
RESULTS: Of the 2,043 previously community-dwelling beneficiaries hospitalized and discharged to a SNF for post-acute care, 589 (28.8%) experienced one of the three outcomes, with readmission (19.4%) most common, followed by mortality (10.5%) and long SNF stay (3.5%). A risk score including 5 factors (Barthel Index, Charlson-Deyo comorbidity score, hospital length of stay, heart failure diagnosis, presence of an indwelling catheter) demonstrated very good discrimination (C-statistic=0.75), accuracy (Brier score=0.17), and calibration for observed and expected events.
CONCLUSION: Older adults frequently experience potentially adverse outcomes in transitions to a SNF from the hospital; this novel score could be used to better match resources with patient risk.
© 2018, Copyright the Authors Journal compilation © 2018, The American Geriatrics Society.

Entities:  

Keywords:  discharge; post-acute care; skilled nursing facility; transitions

Mesh:

Year:  2018        PMID: 29500814      PMCID: PMC5992035          DOI: 10.1111/jgs.15324

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


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