OBJECTIVE: To determine the influence of demographic and injury characteristics on the community reintegration of people with spinal cord injury (SCI). DESIGN: Prospective cross-sectional and longitudinal examination of individuals with SCI. SETTING: Follow-up of individuals at 1, 2, 5, 10, 15, and 20 years after SCI who received their initial rehabilitation in a Regional Model Spinal Cord Injury System. PARTICIPANTS: A total of 3,835 individuals who met the inclusion criteria for the National SCI Database were studied cross-sectionally, and a subset of 347 individuals who were also enrolled in a longitudinal study of aging with SCI. MAIN OUTCOME MEASURES: Subscales of the Craig Handicap Assessment and Reporting Technique (CHART). RESULTS: Neurologic classification, age, years postinjury, gender, ethnicity, and education explain 29% of the variance in physical independence, 29% of the variance in mobility, 28% of the variance in occupation. 9% of the variance in social integration, and 18% of the variance in economic self-sufficiency. CONCLUSIONS: Although these factors are inadequate to explain most of the variation in community reintegration (handicap) after SCI, they might appropriately be used to adjust for case-mix differences when comparing rehabilitation facilities and techniques.
OBJECTIVE: To determine the influence of demographic and injury characteristics on the community reintegration of people with spinal cord injury (SCI). DESIGN: Prospective cross-sectional and longitudinal examination of individuals with SCI. SETTING: Follow-up of individuals at 1, 2, 5, 10, 15, and 20 years after SCI who received their initial rehabilitation in a Regional Model Spinal Cord Injury System. PARTICIPANTS: A total of 3,835 individuals who met the inclusion criteria for the National SCI Database were studied cross-sectionally, and a subset of 347 individuals who were also enrolled in a longitudinal study of aging with SCI. MAIN OUTCOME MEASURES: Subscales of the Craig Handicap Assessment and Reporting Technique (CHART). RESULTS: Neurologic classification, age, years postinjury, gender, ethnicity, and education explain 29% of the variance in physical independence, 29% of the variance in mobility, 28% of the variance in occupation. 9% of the variance in social integration, and 18% of the variance in economic self-sufficiency. CONCLUSIONS: Although these factors are inadequate to explain most of the variation in community reintegration (handicap) after SCI, they might appropriately be used to adjust for case-mix differences when comparing rehabilitation facilities and techniques.
Authors: Leonie S de Ruijter; Sonja de Groot; Jacinthe J Adriaansen; Christof A Smit; Marcel W M Post Journal: Spinal Cord Date: 2018-05-23 Impact factor: 2.772
Authors: Joan Carney; Rhona Fisher; Marika Augutis; Susan Charlifue; Fin Biering-Sørensen; Wiebke Höfers; Miriam Hwang; Peter Wayne New; Marcel Post; Cristina Sadowsky; Lawrence Vogel; Lilly Augustine; Kathryn Dent; M J Mulcahey Journal: Spinal Cord Ser Cases Date: 2019-10-21
Authors: Annelies De Wolf; Amanda Lane-Brown; Robyn L Tate; James Middleton; Ian D Cameron Journal: Qual Life Res Date: 2010-06-27 Impact factor: 4.147
Authors: Terianne Cowling; Linda W Jennings; Robert M Goldstein; Edmund Q Sanchez; Srinath Chinnakotla; Goran B Klintmalm; Marlon F Levy Journal: Ann Surg Date: 2004-01 Impact factor: 12.969