PloS one · 2023
Predictors of discharge to home/community following inpatient-rehabilitation in a US national sample of Guillain-Barre-Syndrome patients.
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Kushner David S, Johnson-Greene Doug, Felix Elizabeth R, Miller Cheryl, Cordero Maite K, Thomashaw Stacy A
Аннотация
BACKGROUND: Guillain-Barre-Syndrome (GBS), an autoimmune polyneuropathy causing acute flaccid paralysis, is a rare condition with1-2 cases per 100,000 annually (approximately 5000 cases/year) in the United States (US). There is a paucity of published data regarding patient outcomes in association with discharge destinations following inpatient-rehabilitation (IR) in this patient population, thus this study.
OBJECTIVES: To analyze IR efficacy, and possible predictors of discharge to home/community in a US-national-sample of GBS patients.
METHODS: Retrospective-observational-cohort study of 1304 GBS patients admitted to IR comparing discharge disposition destinations (community/home, skilled-nursing-facility [SNF], or return to acute-care) by demographic (age, gender) and clinical variables (length-of-stay [LOS], case-mix-index [CMI], and Functional-Independence-Measure [FIM] score changes). Multinomial-logistic-regression and discriminant-function-analysis were performed to determine model fit in predicting discharge destination.
RESULTS: 81.8% were discharged to home/community- average LOS 19-days, total-FIM-gain 43.2; 9.8% discharged to SNFs- average LOS 27.5-days, total-FIM-gain 27.2; and 8.4% discharged to acute-care- average LOS 15.4-days and total-FIM-gain 16.5, (F = 176, p < .001). Stepwise-linear-regression for prediction of community discharge showed change in FIM-Bed/chair/wheelchair-Transfers was the most significant predictor (Wald = 42.2; p < .001), followed by CMI (Wald = 26.9; p < .001), change in FIM-walking/wheelchair (Wald = 14.9; p < .001), and age (Wald = 9.5; p < .002). Using discriminant-function-analysis to test model validity for predicting discharge disposition, FIM-change for Bed/chair/wheelchair Transfers, Walking, and Self-Care as predictors resulted in a classification rate of 78.1%, 92% of variance explained, and Eigenvalue of .53 (p < .001).
CONCLUSIONS: Total-FIM scores improved in all groups, and most patients were discharged to home/community suggesting IR efficacy. The ability to transfer bed/chair/wheelchair was the most important predictive factor associated with discharge destination.
OBJECTIVES: To analyze IR efficacy, and possible predictors of discharge to home/community in a US-national-sample of GBS patients.
METHODS: Retrospective-observational-cohort study of 1304 GBS patients admitted to IR comparing discharge disposition destinations (community/home, skilled-nursing-facility [SNF], or return to acute-care) by demographic (age, gender) and clinical variables (length-of-stay [LOS], case-mix-index [CMI], and Functional-Independence-Measure [FIM] score changes). Multinomial-logistic-regression and discriminant-function-analysis were performed to determine model fit in predicting discharge destination.
RESULTS: 81.8% were discharged to home/community- average LOS 19-days, total-FIM-gain 43.2; 9.8% discharged to SNFs- average LOS 27.5-days, total-FIM-gain 27.2; and 8.4% discharged to acute-care- average LOS 15.4-days and total-FIM-gain 16.5, (F = 176, p < .001). Stepwise-linear-regression for prediction of community discharge showed change in FIM-Bed/chair/wheelchair-Transfers was the most significant predictor (Wald = 42.2; p < .001), followed by CMI (Wald = 26.9; p < .001), change in FIM-walking/wheelchair (Wald = 14.9; p < .001), and age (Wald = 9.5; p < .002). Using discriminant-function-analysis to test model validity for predicting discharge disposition, FIM-change for Bed/chair/wheelchair Transfers, Walking, and Self-Care as predictors resulted in a classification rate of 78.1%, 92% of variance explained, and Eigenvalue of .53 (p < .001).
CONCLUSIONS: Total-FIM scores improved in all groups, and most patients were discharged to home/community suggesting IR efficacy. The ability to transfer bed/chair/wheelchair was the most important predictive factor associated with discharge destination.