» Articles » PMID: 19935180

The Uniform Data System for Medical Rehabilitation: Report of Patients with Stroke Discharged from Comprehensive Medical Programs in 2000-2007

Overview
Date 2009 Nov 26
PMID 19935180
Citations 35
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To provide benchmarking information for a large national sample of patients receiving inpatient rehabilitation after a stroke.

Design: Analysis of secondary data from 893 medical rehabilitation facilities located in the United States and contributing information to the Uniform Data System for Medical Rehabilitation from 2000 to 2007.

Results: Variables analyzed included demographic information (age, sex, marital status, race/ethnicity, prehospital living setting, and discharge setting), hospitalization information (length of stay, program interruptions, payer, event onset date, rehabilitation impairment group, International Classification of Diseases-9 codes for the admitting diagnosis, and comorbidities), and functional status information (FIM(R) instrument ["FIM"] ratings at admission and discharge, FIM efficiency, and FIM gain). Descriptive statistics revealed that the length of stay decreased from a mean of 19.6 (+/-12.8) days to 16.5 (+/-9.8) days during the 8-yr study period. FIM instrument admission and discharge ratings also decreased. Mean admission ratings decreased from 62.5 (+/-20.1) to 55.1 (+/-19.3), and mean discharge ratings decreased from 86.4 (+/-23.6) to 79.8 (+/-24.0). FIM change remained relatively stable; the mean for the entire sample was 23.9 (+/-14.8). The percent of persons discharged to the community ranged from 75.8% in 2000 to 69.3% in 2007. All results are likely affected by changes in the definition for program interruption and procedures for FIM data collection.

Conclusion: Uniform Data System for Medical Rehabilitation data from persons with stroke receiving rehabilitation from 2000 to 2007 indicate patients are showing improvement in functional independence during their rehabilitation stay, and a large percentage are discharged to community settings.

Citing Articles

Cost efficiency of inpatient rehabilitation following acquired brain injury: the first international adaptation of the UK approach.

Lannin N, Crotty M, Cameron I, Chen Z, Ratcliffe J, Morarty J BMJ Open. 2025; 14(12):e094892.

PMID: 39806612 PMC: 11664357. DOI: 10.1136/bmjopen-2024-094892.


Prediction of gait independence using the Trunk Impairment Scale in patients with acute stroke.

Ishiwatari M, Tani M, Isayama R, Honaga K, Hayakawa M, Takakura T Ther Adv Neurol Disord. 2022; 15:17562864221140180.

PMID: 36506941 PMC: 9730005. DOI: 10.1177/17562864221140180.


Methods and early recruitment of the Brain Attack Surveillance in Corpus Christi-Post-acute Care (BASIC-PAC) Project.

Morgenstern L, Almendarez E, Mehdipanah R, Kwicklis M, Case E, Smith M J Stroke Cerebrovasc Dis. 2022; 31(12):106851.

PMID: 36335753 PMC: 10024336. DOI: 10.1016/j.jstrokecerebrovasdis.2022.106851.


Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation.

OBrien M, Shin S, Khazanchi R, Fanton M, Lieber R, Ghaffari R IEEE J Transl Eng Health Med. 2022; 10:2100711.

PMID: 36304845 PMC: 9592048. DOI: 10.1109/JTEHM.2022.3208585.


Demonstrating the vital role of physiatry throughout the health care continuum: Lessons learned from the impacts of the COVID-19 pandemic on inpatient rehabilitation.

Whiteson J, Escalon M, Maltser S, Verduzco-Gutierrez M PM R. 2021; 13(6):554-562.

PMID: 34097361 PMC: 8207027. DOI: 10.1002/pmrj.12610.