Literature DB >> 30049342

Predicting a long hospital stay after admission to a geriatric assessment unit: Results from an observational retrospective cohort study.

Olivier Beauchet1, Shek Fung2, Cyrille P Launay3, Jonathan Afilalo4, Paul Herbert5, Marc Afilalo6, Julia Chabot7.   

Abstract

OBJECTIVE: Morbidities and related disabilities often lead to older inpatients having a long hospital stay. The aim of this study was to examine whether the 6-item brief geriatric assessment (BGA), developed and validated in France to determine a priori levels of risk of a long hospital stay (i.e.; low, moderate, high), could be successfully used with patients admitted to a geriatric assessment unit (GAU) in Quebec. STUDY
DESIGN: Observational retrospective cohort design.
SETTING: A GAU of a McGill University affiliated hospital (Montreal, Quebec, Canada). PARTICIPANTS: 499 inpatients (84.7 ± 7.2 years; 73.3% female) recruited upon their admission. MAIN OUTCOME MEASURES: The BGA comprises 6 items: age > 85 years, male gender, ≥ 5 drugs per day, use of home-help support, history of falls and temporal disorientation. It was administered at baseline and a priori levels of risk of a long hospital stay (i.e., low, moderate, high) were determined. Length of hospital stay (LHS, in days) was calculated using the hospital registry. The association between a priori levels of risk from the BGA and LSH was examined using regression models and Kaplan-Meier curves.
RESULTS: The LHS increased with the 6-item BGA a priori level of risk (P = 0.010). High-risk (Hazard ratio (HR) = 1.68 with P < 0.001) and moderate-risk (HR = 1.24 with P = 0.039) of a long hospital stay successfully predicted a long stay. Kaplan-Meier distributions of time to discharge showed that inpatients classified as having high and moderate risk levels for a long hospital stay were discharged later than those with a low risk level (P < 0.001 and P = 0.013).
CONCLUSION: The 6-item BGA a priori levels of risk for a long hospital stay successfully predicted a long stay among patients admitted to a GAU in Quebec.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epidemiology; Frailty; Older inpatients; Screening

Mesh:

Year:  2018        PMID: 30049342     DOI: 10.1016/j.maturitas.2018.06.014

Source DB:  PubMed          Journal:  Maturitas        ISSN: 0378-5122            Impact factor:   4.342


  1 in total

1.  Screening for older inpatients at risk for long length of stay: which clinical tool to use?

Authors:  Olivier Beauchet; Shek Fung; Cyrille P Launay; Liam Anders Cooper-Brown; Jonathan Afilalo; Paul Herbert; Marc Afilalo; Julia Chabot
Journal:  BMC Geriatr       Date:  2019-06-06       Impact factor: 3.921

  1 in total

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