2018
DOI: 10.1371/journal.pone.0192623
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Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)

Abstract: ObjectiveTo subgroup chronic pain patients using psychometric data and regress the variables most responsible for subgroup discrimination.DesignCross-sectional, registry-based study.Setting and subjectsChronic pain patients assessed at a multidisciplinary pain centre between 2008 and 2015.MethodsData from the Swedish quality registry for pain rehabilitation (SQRP) were retrieved and analysed by principal component analysis, hierarchical clustering analysis, and partial least squares–discriminant analysis.Resul… Show more

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Cited by 54 publications
(65 citation statements)
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“…One of the most striking experiences described by the informants concerns that they feel left alone after discharge, and these experiences are in line with descriptions from studies on chronic pain treatment provided by other healthcare services [34]. With the chronicity as well as the fluctuating symptoms persons with chronic pain have [35], it is clear that they might need support at irregular intervals over a long period. The question arises regarding which role the pain centre should have in this support and whether they should be open to being contacted when the patients and their everyday providers feel they are experiencing the worst pain trajectory.…”
Section: Discussionsupporting
confidence: 59%
“…One of the most striking experiences described by the informants concerns that they feel left alone after discharge, and these experiences are in line with descriptions from studies on chronic pain treatment provided by other healthcare services [34]. With the chronicity as well as the fluctuating symptoms persons with chronic pain have [35], it is clear that they might need support at irregular intervals over a long period. The question arises regarding which role the pain centre should have in this support and whether they should be open to being contacted when the patients and their everyday providers feel they are experiencing the worst pain trajectory.…”
Section: Discussionsupporting
confidence: 59%
“…Hedges’ g, which provides a measure of effect size weighted according to the relative size of each sample, was used for between ES using a calculator (). The absolute effect size was considered very large for values ≥ 1.3, large for values between 0.80–1.29, moderate for values between 0.50–0.79, small for values between 0.20–0.49, and insignificant for values < 0.20 [46].…”
Section: Methodsmentioning
confidence: 99%
“…Hedges'g, the measure of effect size weighted according to the relative size of each sample, was used for between group ES using a calculator. The absolute effect size was considered very large for ≥1.3, large for 0.80-1.29, moderate for 0.50-0.79, small for 0.20-0.49, and insignificant for <0.20 [62]. A recent article of ours presents how MIS was obtained [22].…”
Section: Statisticsmentioning
confidence: 99%