In an effort to understand the relationship between the rehabilitation process and outcomes, the SCIRehab study collected extensive prospective data about the details of 462,455 timed rehabilitation interventions provided by 1,094 clinicians across 7 disciplines after each of 282,999 treatment sessions during the inpatient rehabilitation of 1,376 people with spinal cord injury (SCI) at 6 facilities between late 2008 and early 2011. This observational study used Practice Based Evidence (PBE) methods to relate the details of the rehabilitation process to outcomes after controlling for individual demographic and injury characteristics. The 13 key outcomes included function and residence at discharge and 1 year post injury, rehospitalization in the first year, 4 dimensions of societal participation, work or school attendance, depression, presence of pressure ulcers, and life satisfaction at 1 year post injury. The methods and results of SCIRehab have been published in 43 peer-reviewed scientific articles in the June 2009, March 2011, and November 2012 issues of the Journal of Spinal Cord Medicine and the April 2013 supplement to the Archives of Physical Medicine and Rehabilitation. However, these publications have only been able to scratch the surface of potential analyses, and thus many rehabilitation research and practice implications of the voluminous SCIRehab data await discovery..
Craig Hospital in Englewood, CO led the 6-year multicenter $5.8 million investigation funded by the National Institute on Disability and Rehabilitation Research (NIDRR), with Gale Whiteneck, PhD, FACRM as the Principal Investigator. Craig Hospital was joined by five other specialized rehabilitation programs in collecting the SCIRehab data: Carolinas Rehabilitation, Charlotte, NC; The Mount Sinai Medical Center, New York, NY; MedStar National Rehabilitation Hospital, Washington, DC; Rehabilitation Institute of Chicago, Chicago, IL; and Shepherd Center, Atlanta, GA. Methodological collaboration was provided by the Institute for Clinical Outcomes Research (ICOR), International Severity Information Systems, Inc. (ISIS) in Salt Lake City.
SCIRehab Public Use Datasets
As of May 3, 2018, the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan, in collaboration with the Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) has archived and published the SCIRehab datasets at http://dx.doi.org/10.3886/ICPSR36724.v1
Craig Hospital has prepared 9 large public use datasets containing the data collected in the SCIRehab study for other rehabilitation researchers to use. These SPSS files include a patient level data file containing 1376 rows (patients) and aggregated key information collected during the study; and 8 session level files containing as many rows as all therapy sessions provided to all patients by a single discipline (physical therapy, occupational therapy (2 files), speech therapy, recreation therapy, nursing education, psychology, and social work/case management). All SPSS files have been stripped of patient, center, clinician, and date identifies, but a randomly generated identification number is used so session level and patient level data can be linked.
Read the overview articles and whatever discipline articles you are of interest in the June 2009 issue of the Journal of Spinal Cord Medicine to learn the details of what data was collected and how it was collected. Read articles of interest in the March 2011 issue of the Journal of Spinal Cord Medicine to see descriptive results of the data collected; and read articles of interest in the November 2012 issues of the Journal of Spinal Cord Medicine and the April 2013 supplement to the Archives of Physical Medicine and Rehabilitation to understand what analyses have already been completed. Then enter your contact information (so we can keep track of who is using the SCIRehab data and notify you of new information and materials related to the SCIRehab study. At that point, you will be able to download one or more datasets. Use the variable tab on the SPSS files as a data dictionary to navigate these large datasets. Keep in mind this a work in progress, and additional information and tools will be posted on this website when they become available (and you will be notified by e-mail). Please contact Gale Whiteneck, PhD, FACRM, at email@example.com for further assistance.