Literature DB >> 30797525

Prediction of unplanned hospital admissions in older community dwellers using the 6-item Brief Geriatric Assessment: Results from REPERAGE, an observational prospective population-based cohort study.

Olivier Beauchet1, Cyrille P Launay2, Julia Chabot3, Sylvie Dejager4, Sebastien Bineau4, Kevin Galery5, Gilles Berrut6.   

Abstract

BACKGROUND: The 6-item Brief Geriatric Assessment (BGA) provides a priori risk stratification of incident hospital health adverse events, but it has not been used yet to assess the risk of unplanned hospital admission for older patients in primary care. This study aims to examine the association between the a priori risk stratification levels of the 6-item BGA performed by general practitioners (GPs) and incident unplanned hospital admissions in older community patients.
METHODS: Based on an observational prospective cohort design, 668 participants (mean age 84.7 ± 3.9 years; 64.7% female) were recruited by their GPs during an index primary care visit. The 6-item BGA was completed at baseline and provided an a priori risk stratification in three levels (low, moderate, high). Incident unplanned hospital admissions were recorded during a 6-month follow-up.
RESULTS: The incidence of unplanned hospital admissions increased with the risk level of the 6-item BGA stratification, the highest prevalence (35.3%) being reported with the high-risk level (P = 0.001). The risk of unplanned hospital admission at the high-risk level was significant (crude odds ratio (OR) = 5.48, P = 0.001 and fully adjusted OR = 3.71, P = 0.032, crude hazard ratio (HR) = 4.20; P = 0.002 and fully adjusted HR = 2.81; P = 0.035). The Kaplan-Meier's distributions of incident unplanned hospital admissions differed significantly between the three risk levels (P-value = 0.002). Participants with a high-risk level were more frequently admitted to hospital than those at a low-risk level (P = 0.001). Criteria performances of all risk levels were poor, except the specificity of the high-risk level, which was 98.2%.
CONCLUSIONS: The a priori 6-item BGA risk stratification was significantly associated with incident unplanned hospital admissions in primary care older patients. However, except for the specificity of the high-risk level, its criteria performances were poor, suggesting that this tool is unsuitable for screening older patients in primary care settings at risk of unplanned hospital admission.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epidemiology; Frailty; Geriatric assessment; Hospital admission; Primary care

Mesh:

Year:  2019        PMID: 30797525     DOI: 10.1016/j.maturitas.2019.01.002

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


  2 in total

1.  Prevention of AcuTe admIssioN algorithm (PATINA): study protocol of a stepped wedge randomized controlled trial.

Authors:  Anders Fournaise; Jørgen T Lauridsen; Mickael Bech; Uffe K Wiil; Jesper B Rasmussen; Kristian Kidholm; Kurt Espersen; Karen Andersen-Ranberg
Journal:  BMC Geriatr       Date:  2021-02-27       Impact factor: 3.921

Review 2.  A systematic review of risk stratification tools internationally used in primary care settings.

Authors:  Shelley-Ann M Girwar; Robert Jabroer; Marta Fiocco; Stephen P Sutch; Mattijs E Numans; Marc A Bruijnzeels
Journal:  Health Sci Rep       Date:  2021-07-23
  2 in total

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