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Dive into the research topics where Margaret A. DiVita is active.

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Featured researches published by Margaret A. DiVita.


Journal of Trauma-injury Infection and Critical Care | 2012

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

Jeffrey C. Schneider; Paul Gerrard; Richard Goldstein; Margaret A. DiVita; Paulette Niewczyk; Colleen M. Ryan; Wei Han Tan; Karen J. Kowalske; Ross Zafonte

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.


American Journal of Physical Medicine & Rehabilitation | 2012

Predictors of discharge to acute care after inpatient rehabilitation in severely affected stroke patients.

Duc M. Chung; Paulette Niewczyk; Margaret A. DiVita; Sam Markello; Carl V. Granger

Objective This study aimed to determine the predictors of discharge to acute care after inpatient rehabilitation in severely affected stroke patients. DesignThis was a retrospective study using data from the Uniform Data System for Medical Rehabilitation (UDSMR) between 2008 and 2009. The main outcome variable was discharge location, which included discharge to acute care or discharge to the community after inpatient rehabilitation. The study sample included 223 of the most severely affected stroke patients (Case-Mix Group 0110 of Medicare reimbursement classification), of whom 86 were discharged to acute care from after the inpatient medical rehabilitation setting; 137 similarly classified stroke patients were discharged to the community after inpatient medical rehabilitation. The variables examined were Functional Independence Measure ratings, co-morbid medical conditions, and four groups of stroke-related neurologic deficits (hemiparesis, dysphagia, language deficits, and other stroke-related neurologic deficits). The groups were devised based on International Classification of Diseases, 9th Revision codes. ResultsThere were no significant demographic differences between the two groups—those discharged to the acute care hospital and those discharged to the community. There was a difference in admission Functional Independence Measure ratings, whereby patients discharged to acute care were significantly lower (P < 0.05) on admission motor and cognitive function than were patients discharged to the community. When controlling for 19 groups of co-morbid medical conditions and 4 groups of stroke-related neurologic deficits, there was no significant difference between patients being discharged to an acute care hospital and those discharged to the community. ConclusionsIn the current study, controlling for impairment (stroke), severity of condition, demographic variables, inpatient rehabilitation admission day of the week and discharge day of the week, prehospitalization living setting, prehospitalization living with (alone, family, other), payer (secondary insurance coverage), onset days, co-morbid medical conditions, and classification of stroke-related neurologic deficits, the only variable predictive of discharge to the acute care hospital from an inpatient rehabilitation facility is function at admission, mainly the admission motor Functional Independence Measure rating. If clinicians routinely assess the functional status of patients during the preadmission screening process, it may aid in identifying whether the patient is at an increased risk of being readmitted to the acute care hospital.


American Journal of Physical Medicine & Rehabilitation | 2012

The uniform data system for medical rehabilitation: Report of patients with traumatic spinal cord injury discharged from rehabilitation programs in 2002-2010

Carl V. Granger; Amol Karmarkar; James E. Graham; Anne Deutsch; Paulette Niewczyk; Margaret A. DiVita; Kenneth J. Ottenbacher

Objective This study aimed to provide benchmarking information from a large national sample of patients receiving inpatient rehabilitation after a traumatic spinal cord injury. Design This was an analysis of secondary data from 891 inpatient medical rehabilitation facilities in the United States that contributed traumatic spinal cord injury data to the Uniform Data System for Medical Rehabilitation from January 2002 to December 2010. Variables analyzed included demographic information (age, sex, marital status, race/ethnicity, prehospital living setting, discharge setting), hospitalization information (length of stay, program interruptions, payer, onset date, rehabilitation impairment group, International Classification of Diseases 9 codes for admitting diagnosis, co-morbidities), and functional status (Functional Independence Measure [FIM] instrument ratings at admission and discharge, FIM efficiency, FIM gain). Results The final sample included 47,153 patients with traumatic spinal cord injury. Overall, the mean length of stay was 26.2 ± 23.2 days: yearly means ranged from 29.7 ± 25.4 in 2002 to 22.9 ± 18.9 in 2009. FIM total admission and discharge ratings also declined during the 8-yr study period; admission decreased from 60.5 ± 17.4 to 55.9 ± 16.3; discharge decreased from 86.1 ± 23.8 to 82.4 ± 23.4. Rehabilitation efficiency (FIM gain per day) remained relatively stable over time (1.6 ± 1.7 points per day). The percentage of all patients discharged to the community ranged from 75.8% to 71.5% per year. Wheelchair users stayed in rehabilitation longer than did persons who could walk (34.6 ± 217.4 vs. 17.4 ± 14.1 days) and also experienced less functional improvement (21.6 ± 15.8 vs. 29.6 ± 16.3 FIM points). Conclusions National data from persons with traumatic spinal cord injury in 2002–2010 indicate that lengths of stay declined, but efficiency in functional independence was stable to slightly increased. More than 70% of patients were consistently discharged to community settings after inpatient rehabilitation.


American Journal of Physical Medicine & Rehabilitation | 2014

The Uniform Data System for Medical Rehabilitation: report of follow-up information on patients discharged from inpatient rehabilitation programs in 2002-2010.

James E. Graham; Carl V. Granger; Amol Karmarkar; Anne Deutsch; Paulette Niewczyk; Margaret A. DiVita; Kenneth J. Ottenbacher

ObjectiveThe aim of this study was to present yearly aggregated summaries of rehabilitation outcomes at admission, discharge, and follow-up from a national sample of patients receiving inpatient medical rehabilitation for stroke, traumatic brain injury, lower extremity fracture, lower extremity joint replacement, traumatic spinal cord injury, or debility. DesignThis is an analysis of secondary data from more than 300 inpatient rehabilitation facilities in the United States that contributed inpatient and follow-up data to the Uniform Data System for Medical Rehabilitation during the period January 2002 through December 2010. Aggregate variables reported include demographic information, social situation, and functional status (Functional Independence Measure instrument ratings at admission, discharge, and follow-up). Follow-up data were obtained 80–180 days after discharge through telephone interviews by trained clinical staff. ResultsThe final sample included 287,104 patients with follow-up information. The median time to follow-up was 95 days. Overall, more than 90% of the patients within each impairment group were living in the community at follow-up. Follow-up Functional Independence Measure total ratings were stable to slightly increased over time. Change scores (discharge to follow-up) increased in all six groups. The mean Functional Independence Measure gains from discharge to follow-up, as a percentage of mean gains from admission to discharge, varied by impairment category: 46% for spinal cord injury to 71% for lower extremity fracture. Locomotion yielded the lowest ratings at all three assessments within each of the six impairment groups. ConclusionsThe follow-up data from the national sample of patients discharged from inpatient rehabilitation indicate that gains in mean functional independence scores from both admission to discharge and discharge to follow-up gradually increased from 2002 to 2010. At follow-up, more than nine of ten patients in all six groups are living in the community.


Archives of Physical Medicine and Rehabilitation | 2013

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

Paul Gerrard; Richard Goldstein; Margaret A. DiVita; Colleen M. Ryan; Jacqueline Mix; Paulette Niewczyk; Lewis E. Kazis; Karen J. Kowalske; Ross Zafonte; Jeffrey C. Schneider

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.


Pm&r | 2013

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

Jeffrey C. Schneider; Paul Gerrard; Richard Goldstein; Margaret A. DiVita; Paulette Niewczyk; Colleen M. Ryan; Karen J. Kowalske; Ross Zafonte

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


PLOS ONE | 2015

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

Chloe Slocum; Paul Gerrard; Randie M. Black-Schaffer; Richard A. Goldstein; Aneesh B. Singhal; Margaret A. DiVita; Colleen M. Ryan; Jacqueline Mix; Maulik Purohit; Paulette Niewczyk; Lewis E. Kazis; Ross Zafonte; Jeffrey C. Schneider

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.


American Journal of Physical Medicine & Rehabilitation | 2013

The uniform data system for medical rehabilitation: Report of patients with debility discharged from inpatient rehabilitation programs in 2000-2010

Rebecca V. Galloway; Carl V. Granger; Amol Karmarkar; James E. Graham; Anne Deutsch; Paulette Niewczyk; Margaret A. DiVita; Kenneth J. Ottenbacher

Objective Benchmark data are provided for a national sample of patients who received inpatient rehabilitation for debility. Design Patients with debility from 830 inpatient rehabilitation facilities in the United States contributing to the Uniform Data System for Medical Rehabilitation from 2000 to 2010 were examined. Demographic information (age, marital status, sex, race/ethnicity, prehospital living setting, and discharge setting), hospital information (length of stay, program interruptions, payer, and codes for admitting diagnosis), and functional status (Functional Independence Measure [FIM] instrument ratings at admission and discharge, FIM change, and FIM efficiency) were analyzed. Results Data from 2000 to 2010 (N = 260,373) revealed a decrease in mean (SD) FIM total admission ratings from 73.9 (16.2) to 62.5 (15.8). The FIM total discharge ratings decreased from 95.0 (19.7) to 88.2 (19.8). Mean (SD) length of stay decreased from 14.3 (9.1) to 12.1 (6.2) days. The FIM efficiency (change/day) increased from 1.9 (1.7) to 2.4 (1.9). Discharge to community decreased from 80% to 75%. Acute care discharges accounted for 12% of the cases. Policy changes affecting classification, reimbursement, and/or documentation processes may have influenced the results. Conclusions National data indicate that the number of debility cases is increasing with diverse composition of etiologic diagnoses. A high proportion of these patients is discharged to acute care compared with other impairment groups.


Journal of Burn Care & Research | 2013

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

Jeffrey C. Schneider; Wei Han Tan; Richard Goldstein; Jacqueline Mix; Paulette Niewczyk; Margaret A. DiVita; Colleen M. Ryan; Paul Gerrard; Karen J. Kowalske; Ross Zafonte

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.


Pm&r | 2015

Risk Factors for Development of New or Worsened Pressure Ulcers Among Patients in Inpatient Rehabilitation Facilities in the United States: Data From the Uniform Data System for Medical Rehabilitation

Margaret A. DiVita; Carl V. Granger; Richard Goldstein; Paulette Niewczyk; Jo L. Freudenheim

Documentation of a new or worsened pressure ulcer is a new, required quality indicator for all inpatient rehabilitation facilities (IRFs) in the United States; however, there is little research regarding risk factors for pressure ulcers among patients seen in IRFs.

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Richard Goldstein

Spaulding Rehabilitation Hospital

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Jeffrey C. Schneider

Spaulding Rehabilitation Hospital

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Paul Gerrard

Spaulding Rehabilitation Hospital

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Ross Zafonte

Spaulding Rehabilitation Hospital

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Karen J. Kowalske

University of Texas Southwestern Medical Center

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