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ABSTRACT: Objective
To identify admission characteristics that predict a successful community discharge from an inpatient rehabilitation facility (IRF) among older adults with traumatic brain injury (TBI).Design
In a retrospective cohort study, we leveraged probabilistically linked Medicare Administrative, IRF-Patient Assessment Instrument, and National Trauma Data Bank data to build a parsimonious logistic model to identify characteristics associated with successful discharge. Multiple imputation methods were used to estimate effects across linked datasets to account for potential data linkage errors.Setting
Inpatient Rehabilitation Facilities in the U.S.Participants
The sample included a mean of 1060 community-dwelling adults aged 66 years and older across 30 linked datasets (N=1060). All were hospitalized after TBI between 2011 and 2015 and then admitted to an IRF. The mean age of the sample was 79.7 years, and 44.3% of the sample was women.Interventions
Not applicable.Main outcome measures
Successful discharge home.Results
Overall, 64.6% of the sample was successfully discharged home. A logistic model including 4 predictor variables: Functional Independence Measure motor (FIM-M) and cognitive (FIM-C) scores, pre-injury chronic conditions, and pre-injury living arrangement, that were significantly associated with successful discharge, resulted in acceptable discrimination (area under the curve: 0.76, 95% confidence interval [CI]: 0.72-0.81). Higher scores on the FIM-M (odds ratio [OR]:1.07, 95% CI: 1.05-1.09) and FIM-C (OR: 1.05, 95% CI: 1.02-1.08) were associated with greater odds of successful discharge, whereas living alone vs with others (OR: 0.46, 95% CI: 0.30-0.71) and a greater number of chronic conditions (OR: 0.94, 95% CI: 0.90-0.99) were associated with lower odds of successful discharge.Conclusions
The results provide a parsimonious model for predicting successful discharge among older adults admitted to an IRF after a TBI-related hospitalization and provide clinically useful information to inform discharge planning.
SUBMITTER: Evans E
PROVIDER: S-EPMC9761303 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Evans Emily E Gutman Roee R Resnik Linda L Krebill Cicely C Lueckel Stephanie N SN Zonfrillo Mark R MR Thomas Kali S KS
Archives of rehabilitation research and clinical translation 20221101 4
<h4>Objective</h4>To identify admission characteristics that predict a successful community discharge from an inpatient rehabilitation facility (IRF) among older adults with traumatic brain injury (TBI).<h4>Design</h4>In a retrospective cohort study, we leveraged probabilistically linked Medicare Administrative, IRF-Patient Assessment Instrument, and National Trauma Data Bank data to build a parsimonious logistic model to identify characteristics associated with successful discharge. Multiple im ...[more]