Literature DB >> 27098277

Differential item functioning in the Patient Reported Outcomes Measurement Information System Pediatric Short Forms in a sample of children and adolescents with cerebral palsy.

Wendy J Coster1, Pengsheng Ni2, Mary D Slavin2, Pamela A Kisala3, Ratna Nandakumar4, Mary Jane Mulcahey5, David S Tulsky3,6, Alan M Jette2.   

Abstract

AIM: The present study examined the Patient Reported Outcomes Measurement Information System (PROMIS) Mobility, Fatigue, and Pain Interference Short Forms (SFs) in children and adolescents with cerebral palsy (CP) for the presence of differential item functioning (DIF) relative to the original calibration sample.
METHOD: Using the Graded Response Model we compared item parameter estimates generated from a sample of 303 children and adolescents with CP (175 males, 128 females; mean age 15y 5mo) to parameter estimates from the PROMIS calibration sample, which served as the reference group. DIF was assessed in a two-step process using the item response theory-likelihood ratio-differential item functioning detection procedure.
RESULTS: Significant DIF was identified for four of eight items in the PROMIS Mobility SF, for two of eight items in the Pain Interference Scale, and for one item out of 10 on the Fatigue Scale. Impact of DIF on total score estimation was notable for Mobility and Pain Interference, but not for Fatigue.
INTERPRETATION: Results suggest differences in the responses of adolescents with CP to some items on the PROMIS Mobility and Pain Interference SFs. Cognitive interviews about the PROMIS items with adolescents with varying degrees of mobility limitations would provide better understanding of how they are interpreting and selecting responses to the PROMIS items and thus help guide selection of the most appropriate way to address this issue.
© 2016 Mac Keith Press.

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Year:  2016        PMID: 27098277      PMCID: PMC5052096          DOI: 10.1111/dmcn.13138

Source DB:  PubMed          Journal:  Dev Med Child Neurol        ISSN: 0012-1622            Impact factor:   5.449


  14 in total

1.  Evaluating the appropriateness of a new computer-administered measure of adaptive function for children and youth with autism spectrum disorders.

Authors:  Wendy J Coster; Jessica M Kramer; Feng Tian; Meghan Dooley; Kendra Liljenquist; Ying-Chia Kao; Pengsheng Ni
Journal:  Autism       Date:  2015-01-28

2.  PROMIS Pediatric Pain Interference Scale: an item response theory analysis of the pediatric pain item bank.

Authors:  James W Varni; Brian D Stucky; David Thissen; Esi Morgan Dewitt; Debra E Irwin; Jin-Shei Lai; Karin Yeatts; Darren A Dewalt
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3.  Development and psychometric properties of the PROMIS(®) pediatric fatigue item banks.

Authors:  Jin-Shei Lai; Brian D Stucky; David Thissen; James W Varni; Esi Morgan DeWitt; Debra E Irwin; Karin B Yeatts; Darren A DeWalt
Journal:  Qual Life Res       Date:  2013-02-02       Impact factor: 4.147

Review 4.  Content validity of patient-reported outcome measures: perspectives from a PROMIS meeting.

Authors:  Susan Magasi; Gery Ryan; Dennis Revicki; William Lenderking; Ron D Hays; Meryl Brod; Claire Snyder; Maarten Boers; David Cella
Journal:  Qual Life Res       Date:  2011-08-25       Impact factor: 4.147

5.  An examination of the PROMIS(®) pediatric instruments to assess mobility in children with cerebral palsy.

Authors:  Anna L Kratz; Mary D Slavin; M J Mulcahey; Alan M Jette; David S Tulsky; Stephen M Haley
Journal:  Qual Life Res       Date:  2013-03-31       Impact factor: 4.147

6.  Linkage between the PROMIS® pediatric and adult emotional distress measures.

Authors:  Bryce B Reeve; David Thissen; Darren A DeWalt; I-Chan Huang; Yang Liu; Brooke Magnus; Hally Quinn; Heather E Gross; Pamela A Kisala; Pengsheng Ni; Stephen Haley; M J Mulcahey; Susie Charlifue; Robin A Hanks; Mary Slavin; Alan Jette; David S Tulsky
Journal:  Qual Life Res       Date:  2015-09-30       Impact factor: 4.147

7.  Sampling plan and patient characteristics of the PROMIS pediatrics large-scale survey.

Authors:  Debra E Irwin; Brian D Stucky; David Thissen; Esi Morgan Dewitt; Jin Shei Lai; Karin Yeatts; James W Varni; Darren A DeWalt
Journal:  Qual Life Res       Date:  2010-03-05       Impact factor: 4.147

8.  Ability of PROMIS Pediatric Measures to Detect Change in Children With Cerebral Palsy Undergoing Musculoskeletal Surgery.

Authors:  Mary J Mulcahey; Stephen M Haley; Mary D Slavin; Pamela A Kisala; Pengsheng Ni; David S Tulsky; Alan M Jette
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9.  Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: built using item response theory.

Authors:  Esi Morgan DeWitt; Brian D Stucky; David Thissen; Debra E Irwin; Michelle Langer; James W Varni; Jin-Shei Lai; Karin B Yeatts; Darren A Dewalt
Journal:  J Clin Epidemiol       Date:  2011-02-02       Impact factor: 6.437

10.  The development of a clinical outcomes survey research application: Assessment Center.

Authors:  Richard Gershon; Nan E Rothrock; Rachel T Hanrahan; Liz J Jansky; Mark Harniss; William Riley
Journal:  Qual Life Res       Date:  2010-03-21       Impact factor: 4.147

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  6 in total

1.  Measuring Health-Related Quality of Life in Pediatric Neurology.

Authors:  Monica E Lemmon; Hanna E Huffstetler; Bryce B Reeve
Journal:  J Child Neurol       Date:  2020-06-04       Impact factor: 1.987

Review 2.  Patient-reported outcome measures for young people with developmental disabilities: incorporation of design features to reduce cognitive demands.

Authors:  Ariel E Schwartz; Jessica M Kramer; Angela L Longo
Journal:  Dev Med Child Neurol       Date:  2017-11-24       Impact factor: 5.449

3.  Refining the Pediatric Evaluation of Disability Inventory-Patient-Reported Outcome (PEDI-PRO) item candidates: interpretation of a self-reported outcome measure of functional performance by young people with neurodevelopmental disabilities.

Authors:  Jessica M Kramer; Ariel Schwartz
Journal:  Dev Med Child Neurol       Date:  2017-06-05       Impact factor: 5.449

4.  Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods.

Authors:  Benjamin D Schalet; Sangdon Lim; David Cella; Seung W Choi
Journal:  Psychometrika       Date:  2021-06-26       Impact factor: 2.500

5.  Identifying Unbiased Items for Screening Preschoolers for Disruptive Behavior Problems.

Authors:  Christina R Studts; Jodi Polaha; Michiel A van Zyl
Journal:  J Pediatr Psychol       Date:  2017-05-01

6.  Interview Administration of PROMIS Depression and Anxiety Short Forms.

Authors:  Bayley J Taple; James W Griffith; Michael S Wolf
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