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1.
J Am Med Dir Assoc ; 22(12): 2461-2467, 2021 12.
Article in English | MEDLINE | ID: mdl-33984292

ABSTRACT

OBJECTIVES: To quantify the rate of readmission from inpatient rehabilitation facilities (IRFs) to acute care hospitals (ACHs) during the first 30 days of rehabilitation stay. To measure variation in 30-day readmission rate across IRFs, and the extent that patient and facility characteristics contribute to this variation. DESIGN: Retrospective analysis of an administrative database. SETTING AND PARTICIPANTS: Adult IRF discharges from 944 US IRFs captured in the Uniform Data System for Medical Rehabilitation database between October 1, 2015 and December 31, 2017. METHODS: Multilevel logistic regression was used to calculate adjusted rates of readmission within 30 days of IRF admission and examine variation in IRF readmission rates, using patient and facility-level variables as predictors. RESULTS: There were a total of 104,303 ACH readmissions out of a total of 1,102,785 IRFs discharges. The range of 30-day readmission rates to ACHs was 0.0%‒28.9% (mean = 8.7%, standard deviation = 4.4%). The adjusted readmission rate variation narrowed to 2.8%‒17.5% (mean = 8.7%, standard deviation = 1.8%). Twelve patient-level and 3 facility-level factors were significantly associated with 30-day readmission from IRF to ACH. A total of 82.4% of the variance in 30-day readmission rate was attributable to the model predictors. CONCLUSIONS AND IMPLICATIONS: Fifteen patient and facility factors were significantly associated with 30-day readmission from IRF to ACH and explained the majority of readmission variance. Most of these factors are nonmodifiable from the IRF perspective. These findings highlight that adjusting for these factors is important when comparing readmission rates between IRFs.


Subject(s)
Inpatients , Patient Readmission , Adult , Hospitals , Humans , Medicare , Patient Discharge , Rehabilitation Centers , Retrospective Studies , United States
2.
Am J Phys Med Rehabil ; 97(6): 426-432, 2018 06.
Article in English | MEDLINE | ID: mdl-29300193

ABSTRACT

OBJECTIVE: The aim of the study was to examine whether the chair stand component of the Short Physical Performance Battery predicts fall-related injury among older adult primary care patients. DESIGN: A 2-yr longitudinal cohort study of 430 Boston-area primary care patients aged ≥65 yrs screened to be at risk for mobility decline was conducted. The three components of the Short Physical Performance Battery (balance time, gait speed, and chair stand time) were measured at baseline. Participants reported incidence of fall-related injuries quarterly for 2 yrs. Complementary log-log discrete time hazard models were constructed to examine the hazard of fall-related injury across Short Physical Performance Battery scores, adjusting for age, sex, race, Digit Symbol Substitution Test score, and fall history. RESULTS: Participants were 68% female and 83% white, with a mean (SD) age of 76.6 (7.0). A total of 137 (32%) reported a fall-related injury during the follow-up period. Overall, inability to perform the chair stand task was a significant predictor of fall-related injury (hazard ratio = 2.11, 95% confidence interval = 1.23-3.62, P = 0.01). Total Short Physical Performance Battery score, gait component score, and balance component score were not predictive of fall-related injury. CONCLUSIONS: Inability to perform the repeated chair stand task was associated with increased hazard of an injurious fall for 2 yrs among a cohort of older adult primary care patients.


Subject(s)
Accidental Falls/prevention & control , Geriatric Assessment/methods , Postural Balance/physiology , Psychomotor Performance/physiology , Aged , Female , Gait/physiology , Humans , Longitudinal Studies , Male , Muscle, Skeletal/physiology , Posture , Risk Assessment
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