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Predictors of Responsivity to Interdisciplinary Pain Management

Abstract Objective This study investigated for whom interdisciplinary pain management (IPM) is most effective. Identification of predictors of treatment responsivity would facilitate development of patient-treatment matching algorithms to optimize outcomes. Design Repeated measures prospective study...

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Published in:Pain medicine (Malden, Mass.) Mass.), 2018-09, Vol.19 (9), p.1848-1861
Main Authors: Day, Melissa A, Brinums, Melissa, Craig, Nathan, Geffen, Laurence, Geffen, Saul, Lovai, Miriam, Geffen, Gina
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cited_by cdi_FETCH-LOGICAL-c470t-a3b2c370f030678b58cffd5a8563d07962c335d6e005e39b9fa05dc3257ebfef3
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container_issue 9
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container_title Pain medicine (Malden, Mass.)
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creator Day, Melissa A
Brinums, Melissa
Craig, Nathan
Geffen, Laurence
Geffen, Saul
Lovai, Miriam
Geffen, Gina
description Abstract Objective This study investigated for whom interdisciplinary pain management (IPM) is most effective. Identification of predictors of treatment responsivity would facilitate development of patient-treatment matching algorithms to optimize outcomes. Design Repeated measures prospective study of consecutive admissions to a two-week IPM program. Setting Brisbane Pain Rehabilitation Service in Brisbane, Australia. Subjects A total of 163 adults referred for chronic pain management. Methods Self-report questionnaires and measures of physical performance were obtained at program entry and completion. Group-level analyses were performed using standard parametric statistics. Individual-level change was assessed using recommended criteria. Multivariate analysis of variance and logistic regression were used to examine outcomes and predictors of response. Results Significant improvements were observed across psychological, social, and physical outcome domains. Up to 50% of participants had clinically meaningful improvements, while less than 10% deteriorated. Higher baseline depression, anxiety, stress, and pain catastrophizing scores predicted better group-level outcomes (Ps 
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Identification of predictors of treatment responsivity would facilitate development of patient-treatment matching algorithms to optimize outcomes. Design Repeated measures prospective study of consecutive admissions to a two-week IPM program. Setting Brisbane Pain Rehabilitation Service in Brisbane, Australia. Subjects A total of 163 adults referred for chronic pain management. Methods Self-report questionnaires and measures of physical performance were obtained at program entry and completion. Group-level analyses were performed using standard parametric statistics. Individual-level change was assessed using recommended criteria. Multivariate analysis of variance and logistic regression were used to examine outcomes and predictors of response. Results Significant improvements were observed across psychological, social, and physical outcome domains. Up to 50% of participants had clinically meaningful improvements, while less than 10% deteriorated. Higher baseline depression, anxiety, stress, and pain catastrophizing scores predicted better group-level outcomes (Ps &lt; 0.05). Participants with higher baseline depression scores were most likely to show significant individual-level improvement on at least one outcome (Ps &lt; 0.05). Participants with nociceptive pain were more than four times more likely than those with neuropathic pain to show clinically meaningful improvement on multiple outcomes, while those participants who were older were more likely to be multidomain responders. Conclusions Physical, psychological, and social outcomes all improved in a significant proportion of participants following the IPM. High baseline depression was a clinically reliable predictor of individual-level improvement. Individuals with nociceptive pain and those who were older, respectively, showed the largest response across multiple outcomes and domains.</description><identifier>ISSN: 1526-2375</identifier><identifier>EISSN: 1526-4637</identifier><identifier>DOI: 10.1093/pm/pnx169</identifier><identifier>PMID: 29025136</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Algorithms ; Analysis ; Anxiety ; Care and treatment ; Chronic pain ; Chronic Pain - therapy ; Female ; Humans ; Interdisciplinary aspects ; Male ; Mental depression ; Middle Aged ; Multivariate analysis ; Neuralgia ; Pain management ; Pain Management - methods ; Pain perception ; Prospective Studies ; Rehabilitation ; Statistical analysis ; Stress (Psychology) ; Treatment Outcome ; Young Adult</subject><ispartof>Pain medicine (Malden, Mass.), 2018-09, Vol.19 (9), p.1848-1861</ispartof><rights>2017 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2017</rights><rights>COPYRIGHT 2018 Oxford University Press</rights><rights>2017 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-a3b2c370f030678b58cffd5a8563d07962c335d6e005e39b9fa05dc3257ebfef3</citedby><cites>FETCH-LOGICAL-c470t-a3b2c370f030678b58cffd5a8563d07962c335d6e005e39b9fa05dc3257ebfef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29025136$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Day, Melissa A</creatorcontrib><creatorcontrib>Brinums, Melissa</creatorcontrib><creatorcontrib>Craig, Nathan</creatorcontrib><creatorcontrib>Geffen, Laurence</creatorcontrib><creatorcontrib>Geffen, Saul</creatorcontrib><creatorcontrib>Lovai, Miriam</creatorcontrib><creatorcontrib>Geffen, Gina</creatorcontrib><title>Predictors of Responsivity to Interdisciplinary Pain Management</title><title>Pain medicine (Malden, Mass.)</title><addtitle>Pain Med</addtitle><description>Abstract Objective This study investigated for whom interdisciplinary pain management (IPM) is most effective. Identification of predictors of treatment responsivity would facilitate development of patient-treatment matching algorithms to optimize outcomes. Design Repeated measures prospective study of consecutive admissions to a two-week IPM program. Setting Brisbane Pain Rehabilitation Service in Brisbane, Australia. Subjects A total of 163 adults referred for chronic pain management. Methods Self-report questionnaires and measures of physical performance were obtained at program entry and completion. Group-level analyses were performed using standard parametric statistics. Individual-level change was assessed using recommended criteria. Multivariate analysis of variance and logistic regression were used to examine outcomes and predictors of response. Results Significant improvements were observed across psychological, social, and physical outcome domains. Up to 50% of participants had clinically meaningful improvements, while less than 10% deteriorated. Higher baseline depression, anxiety, stress, and pain catastrophizing scores predicted better group-level outcomes (Ps &lt; 0.05). Participants with higher baseline depression scores were most likely to show significant individual-level improvement on at least one outcome (Ps &lt; 0.05). Participants with nociceptive pain were more than four times more likely than those with neuropathic pain to show clinically meaningful improvement on multiple outcomes, while those participants who were older were more likely to be multidomain responders. Conclusions Physical, psychological, and social outcomes all improved in a significant proportion of participants following the IPM. High baseline depression was a clinically reliable predictor of individual-level improvement. 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Brinums, Melissa ; Craig, Nathan ; Geffen, Laurence ; Geffen, Saul ; Lovai, Miriam ; Geffen, Gina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-a3b2c370f030678b58cffd5a8563d07962c335d6e005e39b9fa05dc3257ebfef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Anxiety</topic><topic>Care and treatment</topic><topic>Chronic pain</topic><topic>Chronic Pain - therapy</topic><topic>Female</topic><topic>Humans</topic><topic>Interdisciplinary aspects</topic><topic>Male</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Neuralgia</topic><topic>Pain management</topic><topic>Pain Management - methods</topic><topic>Pain perception</topic><topic>Prospective Studies</topic><topic>Rehabilitation</topic><topic>Statistical analysis</topic><topic>Stress (Psychology)</topic><topic>Treatment Outcome</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Day, Melissa A</creatorcontrib><creatorcontrib>Brinums, Melissa</creatorcontrib><creatorcontrib>Craig, Nathan</creatorcontrib><creatorcontrib>Geffen, Laurence</creatorcontrib><creatorcontrib>Geffen, Saul</creatorcontrib><creatorcontrib>Lovai, Miriam</creatorcontrib><creatorcontrib>Geffen, Gina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health &amp; 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Identification of predictors of treatment responsivity would facilitate development of patient-treatment matching algorithms to optimize outcomes. Design Repeated measures prospective study of consecutive admissions to a two-week IPM program. Setting Brisbane Pain Rehabilitation Service in Brisbane, Australia. Subjects A total of 163 adults referred for chronic pain management. Methods Self-report questionnaires and measures of physical performance were obtained at program entry and completion. Group-level analyses were performed using standard parametric statistics. Individual-level change was assessed using recommended criteria. Multivariate analysis of variance and logistic regression were used to examine outcomes and predictors of response. Results Significant improvements were observed across psychological, social, and physical outcome domains. Up to 50% of participants had clinically meaningful improvements, while less than 10% deteriorated. Higher baseline depression, anxiety, stress, and pain catastrophizing scores predicted better group-level outcomes (Ps &lt; 0.05). Participants with higher baseline depression scores were most likely to show significant individual-level improvement on at least one outcome (Ps &lt; 0.05). Participants with nociceptive pain were more than four times more likely than those with neuropathic pain to show clinically meaningful improvement on multiple outcomes, while those participants who were older were more likely to be multidomain responders. Conclusions Physical, psychological, and social outcomes all improved in a significant proportion of participants following the IPM. High baseline depression was a clinically reliable predictor of individual-level improvement. Individuals with nociceptive pain and those who were older, respectively, showed the largest response across multiple outcomes and domains.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29025136</pmid><doi>10.1093/pm/pnx169</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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source Oxford Journals Online
subjects Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Analysis
Anxiety
Care and treatment
Chronic pain
Chronic Pain - therapy
Female
Humans
Interdisciplinary aspects
Male
Mental depression
Middle Aged
Multivariate analysis
Neuralgia
Pain management
Pain Management - methods
Pain perception
Prospective Studies
Rehabilitation
Statistical analysis
Stress (Psychology)
Treatment Outcome
Young Adult
title Predictors of Responsivity to Interdisciplinary Pain Management
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