Literature DB >> 23328327

A Rasch analysis of the pain catastrophizing scale supports its use as an interval-level measure.

David M Walton1, Timothy H Wideman, Michael J L Sullivan.   

Abstract

OBJECTIVES: To evaluate the properties of the Pain Catastrophizing Scale (PCS) from a Rasch paradigm.
METHODS: A secondary analysis of 235 patients with work-related pain conditions was performed using the Rasch methodology. Unidimensionality, item fit, location independence, differential item functioning, response option structure, and linearity were evaluated for the 13-item PCS score.
RESULTS: Two items (8 and 12) required rescoring to address disordered response thresholds. Significant misfit to the Rasch model was corrected through the use of testlets based on the original 3 factors of the PCS (rumination, magnification, and helplessness). After rescoring and creation of testlets, the scale showed good fit to the Rasch model (χ(2)=6.93, P=0.91) and could be logically considered an interval-level scale. No evidence of differential item functioning was found for sex or location of pain. The items in the scale covered the spectrum of catastrophizing levels reported by the sample. A transformation matrix is presented that allows simple conversion of ordinal to interval-level scores. DISCUSSION: The results of this secondary analysis suggest that the PCS can be appropriately evaluated as an interval-level scale when the composite 13-item score is considered, as has been standard practice to date. Implications for clinical and research use are discussed.

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Mesh:

Year:  2013        PMID: 23328327     DOI: 10.1097/AJP.0b013e318269569c

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  15 in total

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Authors:  Mariano E Menendez; Emily Thornton; Suzanne Kent; Tyler Kalajian; David Ring
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5.  Measurement Equivalence of the Patient Reported Outcomes Measurement Information System® (PROMIS®) Pain Interference Short Form Items: Application to Ethnically Diverse Cancer and Palliative Care Populations.

Authors:  Jeanne A Teresi; Katja Ocepek-Welikson; Karon F Cook; Marjorie Kleinman; Mildred Ramirez; M Carrington Reid; Albert Siu
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6.  The Associations Between Pain-related Beliefs, Pain Intensity, and Patient Functioning: Hypnotizability as a Moderator.

Authors:  Mark P Jensen; Peter D Galer; Linea L Johnson; Holly R George; M Elena Mendoza; Kevin J Gertz
Journal:  Clin J Pain       Date:  2016-06       Impact factor: 3.442

7.  Returning to work following low back pain: towards a model of individual psychosocial factors.

Authors:  Elyssa Besen; Amanda E Young; William S Shaw
Journal:  J Occup Rehabil       Date:  2015-03

8.  A brief 5-item version of the Neck Disability Index shows good psychometric properties.

Authors:  David M Walton; Joy C MacDermid
Journal:  Health Qual Life Outcomes       Date:  2013-07-01       Impact factor: 3.186

9.  Validation of the Questionnaire to Identify Knee Symptoms (QuIKS) using Rasch analysis.

Authors:  Clayon B Hamilton; Monica R Maly; J Robert Giffin; Jessica M Clark; Mark Speechley; Robert J Petrella; Bert M Chesworth
Journal:  Health Qual Life Outcomes       Date:  2015-09-29       Impact factor: 3.186

10.  Hair-Normalized Cortisol Waking Response as a Novel Biomarker of Hypothalamic-Pituitary-Adrenal Axis Activity following Acute Trauma: A Proof-of-Concept Study with Pilot Results.

Authors:  David M Walton; Joy C Macdermid; Evan Russell; Gideon Koren; Stan Van Uum
Journal:  Pain Res Treat       Date:  2013-12-03
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