Chih-Ying Li1, Sergio Romero2, Annie N Simpson3, Heather S Bonilha4, Kit N Simpson3, Ickpyo Hong1, Craig A Velozo5. 1. Division of Rehabilitation Sciences, School of Health Professions, University of Texas Medical Branch, Galveston, TX. 2. Department of Occupational Therapy, University of Florida, Gainesville, FL; Department of Veterans Affairs, Center of Innovation on Disability and Rehabilitation Research, Gainesville, FL. 3. Department of Healthcare Leadership and Management, College of Health Professions, Medical University of South Carolina, Charleston, SC. 4. Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, SC. 5. Division of Occupational Therapy, College of Health Professions, Medical University of South Carolina, Charleston, SC. Electronic address: velozo@musc.edu.
Abstract
OBJECTIVE: To improve the practical use of the short forms (SFs) developed from the item bank, we compared the measurement precision of the 4- and 8-item SFs generated from a motor item bank composed of the FIM and the Minimum Data Set (MDS). DESIGN: The FIM-MDS motor item bank allowed scores generated from different instruments to be co-calibrated. The 4- and 8-item SFs were developed based on Rasch analysis procedures. This article compared person strata, ceiling/floor effects, and test SE plots for each administration form and examined 95% confidence interval error bands of anchored person measures with the corresponding SFs. We used 0.3 SE as a criterion to reflect a reliability level of .90. SETTING: Veterans' inpatient rehabilitation facilities and community living centers. PARTICIPANTS: Veterans (N=2500) who had both FIM and the MDS data within 6 days during 2008 through 2010. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Four- and 8-item SFs of FIM, MDS, and FIM-MDS motor item bank. RESULTS: Six SFs were generated with 4 and 8 items across a range of difficulty levels from the FIM-MDS motor item bank. The three 8-item SFs all had higher correlations with the item bank (r=.82-.95), higher person strata, and less test error than the corresponding 4-item SFs (r=.80-.90). The three 4-item SFs did not meet the criteria of SE <0.3 for any theta values. CONCLUSIONS: Eight-item SFs could improve clinical use of the item bank composed of existing instruments across the continuum of care in veterans. We also found that the number of items, not test specificity, determines the precision of the instrument.
OBJECTIVE: To improve the practical use of the short forms (SFs) developed from the item bank, we compared the measurement precision of the 4- and 8-item SFs generated from a motor item bank composed of the FIM and the Minimum Data Set (MDS). DESIGN: The FIM-MDS motor item bank allowed scores generated from different instruments to be co-calibrated. The 4- and 8-item SFs were developed based on Rasch analysis procedures. This article compared person strata, ceiling/floor effects, and test SE plots for each administration form and examined 95% confidence interval error bands of anchored person measures with the corresponding SFs. We used 0.3 SE as a criterion to reflect a reliability level of .90. SETTING: Veterans' inpatient rehabilitation facilities and community living centers. PARTICIPANTS: Veterans (N=2500) who had both FIM and the MDS data within 6 days during 2008 through 2010. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Four- and 8-item SFs of FIM, MDS, and FIM-MDS motor item bank. RESULTS: Six SFs were generated with 4 and 8 items across a range of difficulty levels from the FIM-MDS motor item bank. The three 8-item SFs all had higher correlations with the item bank (r=.82-.95), higher person strata, and less test error than the corresponding 4-item SFs (r=.80-.90). The three 4-item SFs did not meet the criteria of SE <0.3 for any theta values. CONCLUSIONS: Eight-item SFs could improve clinical use of the item bank composed of existing instruments across the continuum of care in veterans. We also found that the number of items, not test specificity, determines the precision of the instrument.
Authors: Katherine A Ornstein; Jeanne A Teresi; Katja Ocepek-Welikson; Mildred Ramirez; Diane E Meier; R Sean Morrison; Albert L Siu Journal: J Pain Symptom Manage Date: 2014-12-27 Impact factor: 3.612
Authors: Lan Yu; Daniel J Buysse; Anne Germain; Douglas E Moul; Angela Stover; Nathan E Dodds; Kelly L Johnston; Paul A Pilkonis Journal: Behav Sleep Med Date: 2011-12-28 Impact factor: 2.964