Evidence map›Paper›PMID 29430196›Full record

ArticleJournal of pain research2018

Clinimetric properties of the Nepali version of the Pain Catastrophizing Scale in individuals with chronic pain.

Saurab Sharma, Pascal Thibault, J Haxby Abbott, Mark P Jensen

Abstract read
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Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Saurab SharmaDepartment of Physiotherapy, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Pascal ThibaultDepartment of Psychology, McGill University, Montreal, Québec, Canada.
J Haxby AbbottCentre for Musculoskeletal Outcomes Research, Dunedin School of Medicine, University of Otago, Dunedin, Otago, New Zealand.
Mark P JensenDepartment of Rehabilitation Medicine, University of Washington, Seattle, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain catastrophizing is an exaggerated negative cognitive response related to pain. It is commonly assessed using the Pain Catastrophizing Scale (PCS). Translation and validation of the scale in a new language would facilitate cross-cultural comparisons of the role that pain catastrophizing plays in patient function. PURPOSE: The aim of this study was to translate and culturally adapt the PCS into Nepali (Nepali version of PCS [PCS-NP]) and evaluate its clinimetric properties.

methodsWe translated, cross-culturally adapted, and performed an exploratory factor analysis (EFA) of the PCS-NP in a sample of adults with chronic pain (N=143). We then confirmed the resulting factor model in a separate sample (N=272) and compared this model with 1-, 2-, and 3-factor models previously identified using confirmatory factor analyses (CFAs). We also computed internal consistencies, test-retest reliabilities, standard error of measurement (SEM), minimal detectable change (MDC), and limits of agreement with 95% confidence interval (LOA

resultsThe PCS-NP was comprehensible and culturally acceptable. We extracted a two-factor solution using EFA and confirmed this model using CFAs in the second sample. Adequate fit was also found for a one-factor model and different two- and three-factor models based on prior studies. The PCS-NP scores evidenced excellent reliability and temporal stability, and demonstrated validity via moderate-to-strong associations with measures of depression, anxiety, and pain intensity. The SEM and MDC for the PCS-NP total score were 2.52 and 7.86, respectively (range of PCS scores 0-52). LOA

conclusionThe PCS-NP is a valid and reliable instrument to assess pain catastrophizing in Nepalese individuals with chronic pain.

Indexed as

Bland–Altman plotmeasurement errormeasurement propertiesoutcome measurepain assessmentreliability

Identifiers

PMID29430196
PMCPMC5797459

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.