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Psychometric validation of the electronic chronic pain questions (eCPQ) in a primary care setting

Objective: Collecting data that helps evaluate different types of pain may improve physicians' decision-making with regard to treatment selection and on-going monitoring of patients. To date, no chronic pain assessments have been widely implemented in primary care. The aim of this study was to...

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Published in:Current medical research and opinion 2017-01, Vol.33 (1), p.137-148
Main Authors: Coyne, Karin S., Currie, Brooke M., Donevan, Sean, Brodsky, Marina, Asmus, Michael J., Krichbaum, Daniel W., Cappelleri, Joseph C., Hegeman-Dingle, Rozelle, Sadosky, Alesia, Whipple, Samuel Z., Burbridge, Claire, Mulhem, Elie, Hillenberg, J. Bruce
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cites cdi_FETCH-LOGICAL-c366t-716366a42bf5d35fd37cccbe23fef338dba7bc31a55f4828b4211307673f46d63
container_end_page 148
container_issue 1
container_start_page 137
container_title Current medical research and opinion
container_volume 33
creator Coyne, Karin S.
Currie, Brooke M.
Donevan, Sean
Brodsky, Marina
Asmus, Michael J.
Krichbaum, Daniel W.
Cappelleri, Joseph C.
Hegeman-Dingle, Rozelle
Sadosky, Alesia
Whipple, Samuel Z.
Burbridge, Claire
Mulhem, Elie
Hillenberg, J. Bruce
description Objective: Collecting data that helps evaluate different types of pain may improve physicians' decision-making with regard to treatment selection and on-going monitoring of patients. To date, no chronic pain assessments have been widely implemented in primary care. The aim of this study was to psychometrically validate the electronic Chronic Pain Questions (eCPQ) in a primary care setting. Research design and methods: All men and women ≥18 years arriving at two similar primary care clinics in southeastern Michigan were invited to participate. Clinic staff verbally administered the eCPQ to patients and recorded their answers into the electronic medical record (EMR) prior to physician consultation with results available for physician review. Concurrent validity was assessed using Spearman correlations between eCPQ and patient-completed ancillary measures. Known-group validity was assessed by stratifying patients on self-reported chronic pain as well as by pain diagnosis (i.e. ICD-9 codes). To compare patients with chronic pain versus no chronic pain t-tests and chi-square tests were performed. Reproducibility was assessed between interviewer- and self-administration over time. Results: A total of 534 patients were invited to participate and 455 patients consented to take part in the study (85.2% response rate); 395 patients had analyzable eCPQ data; 70.1% were Caucasian; 68.1% female; mean age was 43.4; 52.7% (n = 208) self-reported chronic pain. Correlations between eCPQ and ancillary measures supported concurrent validity. Excellent discrimination between groups was evidenced based on self-reported chronic pain and ICD-9 diagnosis. Patients with self-reported chronic pain reported significantly (p 
doi_str_mv 10.1080/03007995.2016.1240666
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Bruce</creator><creatorcontrib>Coyne, Karin S. ; Currie, Brooke M. ; Donevan, Sean ; Brodsky, Marina ; Asmus, Michael J. ; Krichbaum, Daniel W. ; Cappelleri, Joseph C. ; Hegeman-Dingle, Rozelle ; Sadosky, Alesia ; Whipple, Samuel Z. ; Burbridge, Claire ; Mulhem, Elie ; Hillenberg, J. Bruce</creatorcontrib><description>Objective: Collecting data that helps evaluate different types of pain may improve physicians' decision-making with regard to treatment selection and on-going monitoring of patients. To date, no chronic pain assessments have been widely implemented in primary care. The aim of this study was to psychometrically validate the electronic Chronic Pain Questions (eCPQ) in a primary care setting. Research design and methods: All men and women ≥18 years arriving at two similar primary care clinics in southeastern Michigan were invited to participate. Clinic staff verbally administered the eCPQ to patients and recorded their answers into the electronic medical record (EMR) prior to physician consultation with results available for physician review. Concurrent validity was assessed using Spearman correlations between eCPQ and patient-completed ancillary measures. Known-group validity was assessed by stratifying patients on self-reported chronic pain as well as by pain diagnosis (i.e. ICD-9 codes). To compare patients with chronic pain versus no chronic pain t-tests and chi-square tests were performed. Reproducibility was assessed between interviewer- and self-administration over time. Results: A total of 534 patients were invited to participate and 455 patients consented to take part in the study (85.2% response rate); 395 patients had analyzable eCPQ data; 70.1% were Caucasian; 68.1% female; mean age was 43.4; 52.7% (n = 208) self-reported chronic pain. Correlations between eCPQ and ancillary measures supported concurrent validity. Excellent discrimination between groups was evidenced based on self-reported chronic pain and ICD-9 diagnosis. Patients with self-reported chronic pain reported significantly (p &lt; .0001) higher pain ratings and greater interference with usual activities, sleep, and mood than those without chronic pain. Test-retest reliability between modes (interviewer- vs. self-administration) was excellent as was reproducibility based on self-administration of the eCPQ at two separate time points. Key limitations: Discriminant validity was determined by comparing participants based on ICD codes. Utilizing ICD codes to identify individuals with chronic pain may not be a reliable approach as it is dependent upon providers accurately and consistently entering chronic pain diagnoses in the EMR. Conclusions: The eCPQ has sound psychometric measurement properties, including concurrent validity, discriminant validity, and reproducibility. The eCPQ appears to be useful to identify patients with chronic pain and to assess and monitor symptoms over time.</description><identifier>ISSN: 0300-7995</identifier><identifier>EISSN: 1473-4877</identifier><identifier>DOI: 10.1080/03007995.2016.1240666</identifier><identifier>PMID: 27829303</identifier><language>eng</language><publisher>England: Taylor &amp; Francis</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Chronic pain ; Chronic Pain - psychology ; eCPQ ; Female ; Humans ; Male ; Middle Aged ; Pain Measurement ; primary care ; Primary Health Care ; psychometric ; Psychometrics ; reproducibility ; Reproducibility of Results ; validity</subject><ispartof>Current medical research and opinion, 2017-01, Vol.33 (1), p.137-148</ispartof><rights>2016 Informa UK Limited, trading as Taylor &amp; Francis Group 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-716366a42bf5d35fd37cccbe23fef338dba7bc31a55f4828b4211307673f46d63</citedby><cites>FETCH-LOGICAL-c366t-716366a42bf5d35fd37cccbe23fef338dba7bc31a55f4828b4211307673f46d63</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/27829303$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Coyne, Karin S.</creatorcontrib><creatorcontrib>Currie, Brooke M.</creatorcontrib><creatorcontrib>Donevan, Sean</creatorcontrib><creatorcontrib>Brodsky, Marina</creatorcontrib><creatorcontrib>Asmus, Michael J.</creatorcontrib><creatorcontrib>Krichbaum, Daniel W.</creatorcontrib><creatorcontrib>Cappelleri, Joseph C.</creatorcontrib><creatorcontrib>Hegeman-Dingle, Rozelle</creatorcontrib><creatorcontrib>Sadosky, Alesia</creatorcontrib><creatorcontrib>Whipple, Samuel Z.</creatorcontrib><creatorcontrib>Burbridge, Claire</creatorcontrib><creatorcontrib>Mulhem, Elie</creatorcontrib><creatorcontrib>Hillenberg, J. Bruce</creatorcontrib><title>Psychometric validation of the electronic chronic pain questions (eCPQ) in a primary care setting</title><title>Current medical research and opinion</title><addtitle>Curr Med Res Opin</addtitle><description>Objective: Collecting data that helps evaluate different types of pain may improve physicians' decision-making with regard to treatment selection and on-going monitoring of patients. To date, no chronic pain assessments have been widely implemented in primary care. The aim of this study was to psychometrically validate the electronic Chronic Pain Questions (eCPQ) in a primary care setting. Research design and methods: All men and women ≥18 years arriving at two similar primary care clinics in southeastern Michigan were invited to participate. Clinic staff verbally administered the eCPQ to patients and recorded their answers into the electronic medical record (EMR) prior to physician consultation with results available for physician review. Concurrent validity was assessed using Spearman correlations between eCPQ and patient-completed ancillary measures. Known-group validity was assessed by stratifying patients on self-reported chronic pain as well as by pain diagnosis (i.e. ICD-9 codes). To compare patients with chronic pain versus no chronic pain t-tests and chi-square tests were performed. Reproducibility was assessed between interviewer- and self-administration over time. Results: A total of 534 patients were invited to participate and 455 patients consented to take part in the study (85.2% response rate); 395 patients had analyzable eCPQ data; 70.1% were Caucasian; 68.1% female; mean age was 43.4; 52.7% (n = 208) self-reported chronic pain. Correlations between eCPQ and ancillary measures supported concurrent validity. Excellent discrimination between groups was evidenced based on self-reported chronic pain and ICD-9 diagnosis. Patients with self-reported chronic pain reported significantly (p &lt; .0001) higher pain ratings and greater interference with usual activities, sleep, and mood than those without chronic pain. Test-retest reliability between modes (interviewer- vs. self-administration) was excellent as was reproducibility based on self-administration of the eCPQ at two separate time points. Key limitations: Discriminant validity was determined by comparing participants based on ICD codes. Utilizing ICD codes to identify individuals with chronic pain may not be a reliable approach as it is dependent upon providers accurately and consistently entering chronic pain diagnoses in the EMR. Conclusions: The eCPQ has sound psychometric measurement properties, including concurrent validity, discriminant validity, and reproducibility. The eCPQ appears to be useful to identify patients with chronic pain and to assess and monitor symptoms over time.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chronic pain</subject><subject>Chronic Pain - psychology</subject><subject>eCPQ</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pain Measurement</subject><subject>primary care</subject><subject>Primary Health Care</subject><subject>psychometric</subject><subject>Psychometrics</subject><subject>reproducibility</subject><subject>Reproducibility of Results</subject><subject>validity</subject><issn>0300-7995</issn><issn>1473-4877</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kFtLwzAYhoMobk5_gpLLedGZQ5u0d8rwBIIT9DqkaeIibTOTTNm_t7Wdl1698H3Pd-AB4ByjBUY5ukIUIV4U2YIgzBaYpIgxdgCmOOU0SXPOD8G0Z5IemoCTED4QwiQvimMwITwnBUV0CuQq7NTaNTp6q-CXrG0lo3UtdAbGtYa61ip613ZNtR5yI20LP7c69FyAc71cvVzCribhxttG-h1U0msYdIy2fT8FR0bWQZ-NOQNvd7evy4fk6fn-cXnzlCjKWEw4Zl3KlJQmq2hmKsqVUqUm1GhDaV6VkpeKYpllJs1JXqYEY4o449SkrGJ0BubD3o13v9-Jxgal61q22m2DwDktMMac4A7NBlR5F4LXRoyPC4xEb1fs7YrerhjtdnMX44lt2ejqb2qvswOuB8C2xvlGfjtfVyLKXe288bJVNgj6_40fSKKJXA</recordid><startdate>20170102</startdate><enddate>20170102</enddate><creator>Coyne, Karin S.</creator><creator>Currie, Brooke M.</creator><creator>Donevan, Sean</creator><creator>Brodsky, Marina</creator><creator>Asmus, Michael J.</creator><creator>Krichbaum, Daniel W.</creator><creator>Cappelleri, Joseph C.</creator><creator>Hegeman-Dingle, Rozelle</creator><creator>Sadosky, Alesia</creator><creator>Whipple, Samuel Z.</creator><creator>Burbridge, Claire</creator><creator>Mulhem, Elie</creator><creator>Hillenberg, J. 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Bruce</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Current medical research and opinion</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coyne, Karin S.</au><au>Currie, Brooke M.</au><au>Donevan, Sean</au><au>Brodsky, Marina</au><au>Asmus, Michael J.</au><au>Krichbaum, Daniel W.</au><au>Cappelleri, Joseph C.</au><au>Hegeman-Dingle, Rozelle</au><au>Sadosky, Alesia</au><au>Whipple, Samuel Z.</au><au>Burbridge, Claire</au><au>Mulhem, Elie</au><au>Hillenberg, J. Bruce</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychometric validation of the electronic chronic pain questions (eCPQ) in a primary care setting</atitle><jtitle>Current medical research and opinion</jtitle><addtitle>Curr Med Res Opin</addtitle><date>2017-01-02</date><risdate>2017</risdate><volume>33</volume><issue>1</issue><spage>137</spage><epage>148</epage><pages>137-148</pages><issn>0300-7995</issn><eissn>1473-4877</eissn><abstract>Objective: Collecting data that helps evaluate different types of pain may improve physicians' decision-making with regard to treatment selection and on-going monitoring of patients. To date, no chronic pain assessments have been widely implemented in primary care. The aim of this study was to psychometrically validate the electronic Chronic Pain Questions (eCPQ) in a primary care setting. Research design and methods: All men and women ≥18 years arriving at two similar primary care clinics in southeastern Michigan were invited to participate. Clinic staff verbally administered the eCPQ to patients and recorded their answers into the electronic medical record (EMR) prior to physician consultation with results available for physician review. Concurrent validity was assessed using Spearman correlations between eCPQ and patient-completed ancillary measures. Known-group validity was assessed by stratifying patients on self-reported chronic pain as well as by pain diagnosis (i.e. ICD-9 codes). To compare patients with chronic pain versus no chronic pain t-tests and chi-square tests were performed. Reproducibility was assessed between interviewer- and self-administration over time. Results: A total of 534 patients were invited to participate and 455 patients consented to take part in the study (85.2% response rate); 395 patients had analyzable eCPQ data; 70.1% were Caucasian; 68.1% female; mean age was 43.4; 52.7% (n = 208) self-reported chronic pain. Correlations between eCPQ and ancillary measures supported concurrent validity. Excellent discrimination between groups was evidenced based on self-reported chronic pain and ICD-9 diagnosis. Patients with self-reported chronic pain reported significantly (p &lt; .0001) higher pain ratings and greater interference with usual activities, sleep, and mood than those without chronic pain. Test-retest reliability between modes (interviewer- vs. self-administration) was excellent as was reproducibility based on self-administration of the eCPQ at two separate time points. Key limitations: Discriminant validity was determined by comparing participants based on ICD codes. Utilizing ICD codes to identify individuals with chronic pain may not be a reliable approach as it is dependent upon providers accurately and consistently entering chronic pain diagnoses in the EMR. Conclusions: The eCPQ has sound psychometric measurement properties, including concurrent validity, discriminant validity, and reproducibility. The eCPQ appears to be useful to identify patients with chronic pain and to assess and monitor symptoms over time.</abstract><cop>England</cop><pub>Taylor &amp; Francis</pub><pmid>27829303</pmid><doi>10.1080/03007995.2016.1240666</doi><tpages>12</tpages></addata></record>
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subjects Adolescent
Adult
Aged
Aged, 80 and over
Chronic pain
Chronic Pain - psychology
eCPQ
Female
Humans
Male
Middle Aged
Pain Measurement
primary care
Primary Health Care
psychometric
Psychometrics
reproducibility
Reproducibility of Results
validity
title Psychometric validation of the electronic chronic pain questions (eCPQ) in a primary care setting
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