Paul Gerrard

Functional Status Outperforms Comorbidities in Predicting Acute Care Readmissions in Medically Complex Patients

ObjectiveTo examine functional status versus medical comorbidities as predictors of acute care readmissions in medically complex patients.DesignRetrospective database study.SettingU.S. inpatient rehabilitation facilities.ParticipantsSubjects included 120,957 patients in the Uniform Data System for Medical Rehabilitation admitted to inpatient rehabilitation facilities under the medically complex impairment group code between 2002 and 2011.InterventionsA Basic Model based on gender and functional status was developed using logistic regression to predict the odds of 3-, 7-, and 30-day readmission from inpatient rehabilitation facilities to acute care hospitals. Functional status was measured by the FIM® motor score. The Basic Model was compared to six other predictive models—three Basic Plus Models that added a comorbidity measure to the Basic Model and three Gender-Comorbidity Models that included only gender and a comorbidity measure. The three comorbidity measures used were the Elixhauser index, Deyo-Charlson index, and Medicare comorbidity tier system. The c-statistic was the primary measure of model performance.Main Outcome MeasuresWe investigated 3-, 7-, and 30-day readmission to acute care hospitals from inpatient rehabilitation facilities.ResultsBasic Model c-statistics predicting 3-, 7-, and 30-day readmissions were 0.69, 0.64, and 0.65, respectively. The best-performing Basic Plus Model (Basic+Elixhauser) c-statistics were only 0.02 better than the Basic Model, and the best-performing Gender-Comorbidity Model (Gender+Elixhauser) c-statistics were more than 0.07 worse than the Basic Model.ConclusionsReadmission models based on functional status consistently outperform models based on medical comorbidities. There is opportunity to improve current national readmission risk models to more accurately predict readmissions by incorporating functional data.

Coma Recovery Scale–Revised: Evidentiary Support for Hierarchical Grading of Level of Consciousness

OBJECTIVE To investigate the neurobehavioral pattern of recovery of consciousness as reflected by performance on the subscales of the Coma Recovery Scale-Revised (CRS-R). DESIGN Retrospective item response theory (IRT) and factor analysis. SETTING Inpatient rehabilitation facilities. PARTICIPANTS Rehabilitation inpatients (N=180) with posttraumatic disturbance in consciousness who participated in a double-blinded, randomized, controlled drug trial. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Scores on CRS-R subscales. RESULTS The CRS-R was found to fit factor analytic models adhering to the assumptions of unidimensionality and monotonicity. In addition, subscales were mutually independent based on residual correlations. Nonparametric IRT reaffirmed the finding of monotonicity. A highly constrained confirmatory factor analysis model, which imposed equal factor loadings on all items, was found to fit the data well and was used to estimate a 1-parameter IRT model. CONCLUSIONS This study provides evidence of the unidimensionality of the CRS-R and supports the hierarchical structure of the CRS-R subscales, suggesting that it is an effective tool for establishing diagnosis and monitoring recovery of consciousness after severe traumatic brain injury.

Predictors of transfer from rehabilitation to acute care in burn injuries.

BACKGROUND Transfer to acute care from rehabilitation represents an interruption in a patient’s recovery and a potential deficiency in quality of care. The objective of this study was to examine predictors of transfer to acute care in the inpatient burn rehabilitation population. METHODS Data are obtained from Uniform Data System for Medical Rehabilitation from 2002 to 2010 for patients with a primary diagnosis of burn injury. Predictor variables include demographic, medical, and facility data. Descriptive statistics are calculated for acute and nonacute transfer patients. Logistic regression analysis is used to determine significant predictors of acute transfer within the first 3 days. A scoring system is developed to determine the risk of acute transfer. RESULTS There were 78 acute transfers in the first 3 days of a total of 4,572 burn admissions. Functional level at admission, age, and admission classification are significant predictors of transfer to acute care (p < 0.05). Total body surface area burned and medical comorbidities were not significantly associated with acute transfer risk. A 12-point acute transfer risk scoring system was developed, which demonstrates validity. CONCLUSION Efforts to reduce readmissions to acute care should include greater scrutiny of older, lower-functioning patients with burn injury who are evaluated for admission to inpatient rehabilitation. This acute transfer scoring system may be useful to clinicians, health care institutions, and policymakers to help predict those patients at highest risk for early transfer to the acute hospital from rehabilitation. LEVEL OF EVIDENCE Prognostic/diagnostic study, level II.

Outcomes and predictors in burn rehabilitation.

Advances in burn care in recent decades have resulted in a growing population of burn survivors and an increased need for inpatient rehabilitation. Burn survivors who require inpatient rehabilitation typically experience severe and complicated injuries. The purpose of this study is to examine burn rehabilitation outcomes and their predictor variables. Data are obtained from the Uniform Data System for Medical Rehabilitation from 2002 to 2007. Inclusion criterion is primary diagnosis of burn injury. Predictor variables include demographic, medical, and facility data. Outcome measures are length of stay efficiency, FIM® gain, community discharge, and FIM® discharge of at least 78. Linear and logistic regression analyses are used to determine significant predictors of outcomes. There are 2920 patients who meet inclusion criteria. The mean age of the population is 51 years, 33% of the population is female, 73% is Caucasian, and 40% are married. The median TBSA decile is 20 to 29%. The population exhibits a mean FIM® gain of 28 and length of stay efficiency of 2.1. A majority of the population is discharged to the community (76%) and has a FIM® discharge of at least 78 (81%). Significant predictors of outcomes in burn rehabilitation include age, FIM® admission, onset days, employment status, and marital status. Inpatient rehabilitation is critical to community reintegration of burn survivors. Survivors who are young, married, employed, and higher functioning at the time of admission to rehabilitation demonstrate the best outcomes. This research will help assess the rehabilitation potential of burn survivors and inform resource allocation.

Validity and reliability of the FIM instrument in the inpatient burn rehabilitation population.

OBJECTIVE To provide evidence of construct validity for the FIM instrument in the inpatient rehabilitation burn population. DESIGN Confirmatory factor analysis and item response theory were used to assess construct validity. Confirmatory factor analysis was performed on a 2-factor model of the FIM instrument and on a 6-subfactor model. Mokken scale analysis, a nonparametric item response theory, was performed on each of the FIM instruments 2 major factors, motor and cognitive domains. Internal consistency using Cronbach alpha and Molenaar and Sijtsmas statistic was also examined. SETTING Inpatient rehabilitation facilities. PARTICIPANTS Data from the Uniform Data System for Medical Rehabilitation for patients with an impairment code of burn injury from the years 2002 to 2011 were used for this analysis. A total of 7569 subjects were included in the study. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Comparative fit index results for the confirmatory factor analyses and adherence to assumptions of the Mokken scale model. RESULTS Confirmatory factor analysis provided a comparative fit index of .862 for the 2-factor model and .941 for the 6-subfactor model. Mokken scale analysis showed scalability coefficients of .681 and .891 for the motor and cognitive domains, respectively. Measures of internal consistency statistic gave values of >.95 for each major domain of the FIM instrument. CONCLUSIONS The FIM instrument has evidence of validity and reliability as an outcome measure for patients with burn injuries in the inpatient rehabilitation setting. The 6-subfactor model provides a better fit than the 2-factor model by confirmatory factor analysis. There is evidence that the motor and cognitive domains each form valid unidimensional metrics based on nonparametric item response theory.

The Impact of Comorbidities and Complications on Burn Injury Inpatient Rehabilitation Outcomes

To examine the impact of comorbidities and complications on burn inpatient rehabilitation facilities (IRF) outcomes.

Functional Status Predicts Acute Care Readmissions from Inpatient Rehabilitation in the Stroke Population.

Objective Acute care readmission risk is an increasingly recognized problem that has garnered significant attention, yet the reasons for acute care readmission in the inpatient rehabilitation population are complex and likely multifactorial. Information on both medical comorbidities and functional status is routinely collected for stroke patients participating in inpatient rehabilitation. We sought to determine whether functional status is a more robust predictor of acute care readmissions in the inpatient rehabilitation stroke population compared with medical comorbidities using a large, administrative data set. Methods A retrospective analysis of data from the Uniform Data System for Medical Rehabilitation from the years 2002 to 2011 was performed examining stroke patients admitted to inpatient rehabilitation facilities. A Basic Model for predicting acute care readmission risk based on age and functional status was compared with models incorporating functional status and medical comorbidities (Basic-Plus) or models including age and medical comorbidities alone (Age-Comorbidity). C-statistics were compared to evaluate model performance. Findings There were a total of 803,124 patients: 88,187 (11%) patients were transferred back to an acute hospital: 22,247 (2.8%) within 3 days, 43,481 (5.4%) within 7 days, and 85,431 (10.6%) within 30 days. The C-statistics for the Basic Model were 0.701, 0.672, and 0.682 at days 3, 7, and 30 respectively. As compared to the Basic Model, the best-performing Basic-Plus model was the Basic+Elixhauser model with C-statistics differences of +0.011, +0.011, and + 0.012, and the best-performing Age-Comorbidity model was the Age+Elixhauser model with C-statistic differences of -0.124, -0.098, and -0.098 at days 3, 7, and 30 respectively. Conclusions Readmission models for the inpatient rehabilitation stroke population based on functional status and age showed better predictive ability than models based on medical comorbidities.

Time to rehabilitation in the burn population: incidence of zero onset days in the UDSMR national dataset.

A preliminary investigation of the burn rehabilitation population found a large variability of zero onset day frequency between facilities. Onset days is defined as the time from injury to inpatient rehabilitation admission; this variable has not been investigated in burn patients previously. This study explored if this finding was a facility-based phenomena or characteristic of burn inpatient rehabilitation patients. This study was a secondary analysis of Uniform Data System for Medical Rehabilitation (UDSmr®) data from 2002 to 2007 examining inpatient rehabilitation characteristics among patients with burn injuries. Exclusion criteria were age less than 18 years and discharge against medical advice. Comparisons of demographic, medical and functional data were made between facilities with a high frequency of zero onset days versus facilities with a low frequency of zero onset days. A total of 4738 patients from 455 inpatient rehabilitation facilities were included. Twenty-three percent of the population exhibited zero onset days (n = 1103). Sixteen facilities contained zero onset patients; two facilities accounted for 97% of the zero onset subgroup. Facilities with a high frequency of zero onset day patients demonstrated significant differences in demographic, medical, and functional variables compared to the remainder of the study population. There were significantly more zero onset day admissions among burn patients (23%) than other diagnostic groups (0.5– 3.6%) in the Uniform Data System for Medical Rehabilitation database, but the majority (97%) came from two inpatient rehabilitation facilities. It is unexpected for patients with significant burn injury to be admitted to a rehabilitation facility on the day of injury. Future studies investigating burn rehabilitation outcomes using the Uniform Data System for Medical Rehabilitation database should exclude facilities with a high percentage of zero onset days, which are not representative of the burn inpatient rehabilitation population.

Cognition in patients with burn injury in the inpatient rehabilitation population.

OBJECTIVE To analyze potential cognitive impairment in patients with burn injury in the inpatient rehabilitation population. DESIGN Rehabilitation patients with burn injury were compared with the following impairment groups: spinal cord injury, amputation, polytrauma and multiple fractures, and hip replacement. Differences between the groups were calculated for each cognitive subscale item and total cognitive FIM. Patients with burn injury were compared with the other groups using a bivariate linear regression model. A multivariable linear regression model was used to determine whether differences in cognition existed after adjusting for covariates (eg, sociodemographic factors, facility factors, medical complications) based on previous studies. SETTING Inpatient rehabilitation facilities. PARTICIPANTS Data from Uniform Data System for Medical Rehabilitation from 2002 to 2011 for adults with burn injury (N=5347) were compared with other rehabilitation populations (N=668,816). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Comparison of total cognitive FIM scores and subscales (memory, verbal comprehension, verbal expression, social interaction, problem solving) for patients with burn injury versus other rehabilitation populations. RESULTS Adults with burn injuries had an average total cognitive FIM score ± SD of 26.8±7.0 compared with an average FIM score ± SD of 28.7±6.0 for the other groups combined (P<.001). The subscale with the greatest difference between those with burn injury and the other groups was memory (5.1±1.7 compared with 5.6±1.5, P<.001). These differences persisted after adjustment for covariates. CONCLUSIONS Adults with burn injury have worse cognitive FIM scores than other rehabilitation populations. Future research is needed to determine the impact of this comorbidity on patient outcomes and potential interventions for these deficits.

Accuracy of Self-Reported Physical Activity as an Indicator of Cardiovascular Fitness Depends on Education Level

OBJECTIVE To determine whether there is a relationship between the level of education and the accuracy of self-reported physical activity as a proxy measure of aerobic fitness. DESIGN Data from the National Health and Nutrition Examination from the years 1999 to 2004 were used. Linear regression was performed for measured maximum oxygen consumption (Vo(2)max) versus self-reported physical activity for 5 different levels of education. SETTING This was a national survey in the United States. PARTICIPANTS Participants included adults from the general U.S. population (N=3290). INTERVENTIONS None. MAIN OUTCOME MEASURE Coefficients of determination obtained from models for each education level were used to compare how well self-reported physical activity represents cardiovascular fitness. These coefficients were the main outcome measure. RESULTS Coefficients of determination for Vo(2)max versus reported physical activity increased as the level of education increased. CONCLUSIONS In this preliminary study, self-reported physical activity is a better proxy measure for aerobic fitness in highly educated individuals than in poorly educated individuals.