THE STABILITY AND EQUIVALENCE RELIABILITY OF THE FUNCTIONAL INDEPENDENCE MEASURE FOR CHILDREN (WeeFIM)®

Ottenbacher, Kenneth J.; Taylor, E. T.; Msall, Michael E.; Braun, Susan; Lane, Shelly J.; Granger, Carl V.; Lyons, Nancy; Duffy, Linda C.

doi:10.1111/j.1469-8749.1996.tb15047.x

Cited by 135 publications

(40 citation statements)

References 17 publications

(4 reference statements)

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“…Moreover, clinicians are retested every 2 years with a different version of the examination to ensure their rating accuracy of the FIM. A number of studies have shown that the FIM has good interrater or test-retest reliability (>0.90) [21][22][23][24]. In contrast, for MDS assessments, each unit's assessment coordinator may obtain information from other staff orally or have specific professionals rate relevant items.…”

Section: Discussionmentioning

confidence: 99%

Validation of FIM-MDS crosswalk conversion algorithm

Wang

Byers²,

Velozo³

2008

JRRD

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Abstract-In this study, we performed a validation analysis of a crosswalk that converts Functional Independence Measure (FIM) scores to Minimum Data Set (MDS) scores and vice versa in order to achieve score compatibility. Data from 2,130 patients were obtained from the Department of Veteran Affairs' Austin Automation Center. The conversion algorithm was tested at the (1) individual patient level, (2) classification level, and (3) facility level. The validity testing resulted in mixed findings. The mean MDS-derived FIM (FIMc) scores were within 1.3 and 0.1 points of the mean actual FIM (FIMa) scores for the motor and cognition scales, respectively. Kappa statistics demonstrated a fair to substantial (0.37-0.66) strength of agreement between functional-related group classifications generated from the FIMa and FIMc scores. Four of the five facilities had an average point difference of 2.4 between the mean FIMa and FIMc scores. While the sample distributions were similar, individual score comparisons fell short of expectations. Only 37% to 67% of the FIMc scores were within 5 points of the FIMa scores. The crosswalk algorithm demonstrated a convenient way to achieve score comparisons across different rehabilitation settings. However, the effectiveness of a single measure or of crosswalk conversions may ultimately depend on the quality of the data.

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Section: Discussionmentioning

confidence: 99%

Validation of FIM-MDS crosswalk conversion algorithm

Wang

Byers²,

Velozo³

2008

JRRD

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“…It is part of the Uniform Data System for Medical Rehabilitation. It has extensive evidence of reliability, validity, and responsiveness to change during inpatient rehabilitation for children and youth with TBI (Chen et al, 2005;Massagli et al, 1996;Ottenbacher et al, 1996Ottenbacher et al, , 1997Ottenbacher et al, , 2000Rice et al, 2005;Swaine et al, 2000;Ziviani et al, 2001), with established normative data (Msall et al, 1994). The WeeFIM is the pediatric downward extension of the FIMÔ (Granger, 1998), which was recommended as a core measure for adults with TBI (Wilde et al, 2010), but scoring criteria are somewhat different to account for developmental differences.…”

Section: Adaptive and Daily Living Skillsmentioning

confidence: 99%

Recommendations for the Use of Common Outcome Measures in Pediatric Traumatic Brain Injury Research

McCauley

Wilde

Anderson

et al. 2012

Journal of Neurotrauma

281

207

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This article addresses the need for age-relevant outcome measures for traumatic brain injury (TBI) research and summarizes the recommendations by the inter-agency Pediatric TBI Outcomes Workgroup. The Pediatric Workgroup's recommendations address primary clinical research objectives including characterizing course of recovery from TBI, prediction of later outcome, measurement of treatment effects, and comparison of outcomes across studies. Consistent with other Common Data Elements (CDE) Workgroups, the Pediatric TBI Outcomes Workgroup adopted the standard three-tier system in its selection of measures. In the first tier, core measures included valid, robust, and widely applicable outcome measures with proven utility in pediatric TBI from each identified domain including academics, adaptive and daily living skills, family and environment, global outcome, health-related quality of life, infant and toddler measures, language and communication, neuropsychological impairment, physical functioning, psychiatric and psychological functioning, recovery of consciousness, social role participation and social competence, social cognition, and TBI-related symptoms. In the second tier, supplemental measures were recommended for consideration in TBI research focusing on specific topics or populations. In the third tier, emerging measures included important instruments currently under development, in the process of validation, or nearing the point of published findings that have significant potential to be superior to measures in the core and supplemental lists and may eventually replace them as evidence for their utility emerges.

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“…The convergent and divergent validity of the LIFE-H was tested by comparing its scores with those of two instruments administered during the first testing session: the Pediatric Evaluation of Disability Inventory (PEDI) 20 and the Functional Independence Measure for Children (WeeFIM). 21 RECRUITMENT AND DATA COLLECTION PROCEDURES The research protocol was approved by the Research Ethics Committee of the three rehabilitation centers. For the reliability and construct validity procedures, recruitment was carried out with parents whose children had received therapy in clinical settings and who corresponded to one of the five diagnostic groups (CP, myelomeningocele [MMC], sensorymotor neuropathy, traumatic brain injury, and developmental delay).…”

Section: Content Validity Processmentioning

confidence: 99%

Measuring participation in children with disabilities using the Assessment of Life Habits

Noreau

Lepage²,

Boissière³

et al. 2007

Develop Med Child Neuro

143

103

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The objectives of this study were: (1) to examine the psychometric properties of the Assessment of Life Habits (LIFE‐H) for children; and (2) to draw a profile of the level of participation among children of 5 to 13 years of age with various impairments. The research team adapted the adult version of the LIFE‐H in order to render it more appropriate for the daily life experiences of children. Content validity was verified by an expert panel of 29 people, made up of parents, paediatric clinicians, and researchers. Reliability and construct validity of the LIFE‐H for children (interview‐administered form) was tested during an experiment that comprised three sessions of interviews with a group of 94 parents of children with disabilities (36 males, 58 females; mean age 8y 10mo [SD 2y 6 mo]; diagnostic groups: cerebral palsy, myelomeningocoele, sensory‐motor neuropathy, traumatic brain injury, and developmental delay). Overall, the LIFE‐H showed high intrarater reliability with intraclass correlation coefficient values of 0.78 or higher for 10 out of 11 categories. The correlations between the LIFE‐H and the tools used in pediatric rehabilitation varied, and categories with similar constructs generally led to higher correlations. The psychometric properties of the LIFE‐H are appropriate and its content allows a complete description of participation among children with disabilities.

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THE STABILITY AND EQUIVALENCE RELIABILITY OF THE FUNCTIONAL INDEPENDENCE MEASURE FOR CHILDREN (WeeFIM)®

Cited by 135 publications

References 17 publications

Validation of FIM-MDS crosswalk conversion algorithm

Validation of FIM-MDS crosswalk conversion algorithm

Recommendations for the Use of Common Outcome Measures in Pediatric Traumatic Brain Injury Research

Measuring participation in children with disabilities using the Assessment of Life Habits

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