Determination of the Minimal Clinically Important Difference in the FIM Instrument in Patients With Stroke

Autor: Marianne Beninato, Kathleen M Gill-Body, Joel Stein, Randie M. Black-Schaffer, Sara S. Salles, Paul Stark
Rok vydání: 2006
Předmět:
Adult
Male
medicine.medical_specialty
Activities of daily living
medicine.medical_treatment
Physical Therapy
Sports Therapy and Rehabilitation

Motor Activity
Sensitivity and Specificity
Severity of Illness Index
Statistics
Nonparametric

Cohort Studies
Disability Evaluation
Cognition
Sex Factors
Risk Factors
Acute care
Activities of Daily Living
Outcome Assessment
Health Care

Severity of illness
medicine
Health Status Indicators
Humans
Prospective Studies
Prospective cohort study
Stroke
Physical Therapy Modalities
Aged
Probability
Aged
80 and over

Rehabilitation
Receiver operating characteristic
business.industry
Minimal clinically important difference
Age Factors
Stroke Rehabilitation
Recovery of Function
Middle Aged
Prognosis
medicine.disease
humanities
Treatment Outcome
Physical therapy
Female
sense organs
business
human activities
Zdroj: Archives of Physical Medicine and Rehabilitation. 87:32-39
ISSN: 0003-9993
Popis: Beninato M, Gill-Body KM, Salles S, Stark PC, Black-Schaffer RM, Stein J. Determination of the minimal clinically important difference in the FIM instrument in patients with stroke. Objective To define the minimal clinically important difference (MCID) for the FIM instrument in patients poststroke. Design Prospective case series discharged over a 9-month period. Setting Long-term acute care hospital. Participants Patients with stroke (N=113). Interventions Not applicable. Main Outcome Measures Admission, discharge, and change scores were calculated for the total FIM, motor FIM, and cognitive FIM. Assessments of clinical change were rated at discharge on a 15-point (−7 to +7) Likert scale by attending physicians, with MCID defined at a cutoff score of 3. The FIM change scores associated with MCID were identified from receiver operating characteristic curves. Bayesian analysis was used to determine the probability of individual patients achieving MCID. Results FIM change scores associated with MCID were 22, 17, and 3 for the total FIM, motor FIM, and cognitive FIM, respectively. The accuracy of the MCID was greater when subjects were categorized based on admission FIM scores than when considering the sample as a whole. Larger FIM change scores were related to MCID in subjects with lower admission FIM scores. Conclusions These findings will assist in the interpretation of FIM change scores relative to physicians' assessments of important clinical change.
Databáze: OpenAIRE