Pain and Urinary Symptoms Should Not be Combined into a Single Score: Psychometric Findings from the MAPP Research Network

Purpose The purpose of this study was to create symptom indexes, that is scores derived from questionnaires to accurately and efficiently measure symptoms of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome, collectively referred to as urological chron...

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Veröffentlicht in:The Journal of urology 2016-04, Vol.195 (4), p.949-954
Hauptverfasser: Griffith, James W, Stephens-Shields, Alisa J, Hou, Xiaoling, Naliboff, Bruce D, Pontari, Michel, Edwards, Todd C, Williams, David A, Clemens, J. Quentin, Afari, Niloofar, Tu, Frank, Brett Lloyd, R, Patrick, Donald L, Mullins, Chris, Kusek, John W, Sutcliffe, Siobhan, Hong, Barry A, Lai, H. Henry, Krieger, John N, Bradley, Catherine S, Kim, Jayoung, Landis, J. Richard
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container_end_page 954
container_issue 4
container_start_page 949
container_title The Journal of urology
container_volume 195
creator Griffith, James W
Stephens-Shields, Alisa J
Hou, Xiaoling
Naliboff, Bruce D
Pontari, Michel
Edwards, Todd C
Williams, David A
Clemens, J. Quentin
Afari, Niloofar
Tu, Frank
Brett Lloyd, R
Patrick, Donald L
Mullins, Chris
Kusek, John W
Sutcliffe, Siobhan
Hong, Barry A
Lai, H. Henry
Krieger, John N
Bradley, Catherine S
Kim, Jayoung
Landis, J. Richard
description Purpose The purpose of this study was to create symptom indexes, that is scores derived from questionnaires to accurately and efficiently measure symptoms of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome, collectively referred to as urological chronic pelvic pain syndromes. We created these indexes empirically by investigating the structure of symptoms using exploratory factor analysis. Materials and Methods As part of the MAPP (Multi-Disciplinary Approach to the Study of Chronic Pelvic Pain) Research Network 424 participants completed questionnaires, including GUPI (Genitourinary Pain Index), ICSI (Interstitial Cystitis Symptom Index) and ICPI (Interstitial Cystitis Problem Index). Individual items from questionnaires about bladder and pain symptoms were evaluated by principal component and exploratory factor analyses to identify indexes with fewer questions to comprehensively quantify symptom severity. Additional analyses included correlating symptom indexes with symptoms of depression, which is a known comorbidity of patients with pelvic pain. Results and Conclusions Exploratory factor analyses suggested that the 2 factors pain severity and urinary severity provided the best psychometric description of items in GUPI, ICSI and ICPI. These factors were used to create 2 symptom indexes for pain and urinary symptoms. Pain, but not urinary symptoms, was associated with symptoms of depression on multiple regression analysis, suggesting that these symptoms may impact patients with urological chronic pelvic pain syndromes differently ( B ± SE for pain severity = 0.24 ± 0.04, 95% CI 0.16–0.32, β = 0.32, p
doi_str_mv 10.1016/j.juro.2015.11.012
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Quentin ; Afari, Niloofar ; Tu, Frank ; Brett Lloyd, R ; Patrick, Donald L ; Mullins, Chris ; Kusek, John W ; Sutcliffe, Siobhan ; Hong, Barry A ; Lai, H. Henry ; Krieger, John N ; Bradley, Catherine S ; Kim, Jayoung ; Landis, J. Richard</creator><creatorcontrib>Griffith, James W ; Stephens-Shields, Alisa J ; Hou, Xiaoling ; Naliboff, Bruce D ; Pontari, Michel ; Edwards, Todd C ; Williams, David A ; Clemens, J. Quentin ; Afari, Niloofar ; Tu, Frank ; Brett Lloyd, R ; Patrick, Donald L ; Mullins, Chris ; Kusek, John W ; Sutcliffe, Siobhan ; Hong, Barry A ; Lai, H. Henry ; Krieger, John N ; Bradley, Catherine S ; Kim, Jayoung ; Landis, J. Richard</creatorcontrib><description>Purpose The purpose of this study was to create symptom indexes, that is scores derived from questionnaires to accurately and efficiently measure symptoms of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome, collectively referred to as urological chronic pelvic pain syndromes. We created these indexes empirically by investigating the structure of symptoms using exploratory factor analysis. Materials and Methods As part of the MAPP (Multi-Disciplinary Approach to the Study of Chronic Pelvic Pain) Research Network 424 participants completed questionnaires, including GUPI (Genitourinary Pain Index), ICSI (Interstitial Cystitis Symptom Index) and ICPI (Interstitial Cystitis Problem Index). Individual items from questionnaires about bladder and pain symptoms were evaluated by principal component and exploratory factor analyses to identify indexes with fewer questions to comprehensively quantify symptom severity. Additional analyses included correlating symptom indexes with symptoms of depression, which is a known comorbidity of patients with pelvic pain. Results and Conclusions Exploratory factor analyses suggested that the 2 factors pain severity and urinary severity provided the best psychometric description of items in GUPI, ICSI and ICPI. These factors were used to create 2 symptom indexes for pain and urinary symptoms. Pain, but not urinary symptoms, was associated with symptoms of depression on multiple regression analysis, suggesting that these symptoms may impact patients with urological chronic pelvic pain syndromes differently ( B ± SE for pain severity = 0.24 ± 0.04, 95% CI 0.16–0.32, β = 0.32, p &lt;0.001). Our results suggest that pain and urinary symptoms should be assessed separately rather than combined into 1 total score. Total scores that combine the separate factors of pain and urinary symptoms into 1 score may be limited for clinical and research purposes.</description><identifier>ISSN: 0022-5347</identifier><identifier>EISSN: 1527-3792</identifier><identifier>DOI: 10.1016/j.juro.2015.11.012</identifier><identifier>PMID: 26585679</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomedical Research ; chronic pain ; Chronic Pain - diagnosis ; cystitis, interstitial ; Cystitis, Interstitial - diagnosis ; Depression - diagnosis ; factor analysis, statistical ; Female ; Humans ; Male ; Middle Aged ; Pain Measurement ; Patient Care Team ; Pelvic Pain - diagnosis ; prostatitis ; Psychometrics ; Surveys and Questionnaires ; Symptom Assessment - methods ; urinary bladder ; Urology ; Young Adult</subject><ispartof>The Journal of urology, 2016-04, Vol.195 (4), p.949-954</ispartof><rights>American Urological Association Education and Research, Inc.</rights><rights>2016 American Urological Association Education and Research, Inc.</rights><rights>Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c551t-857bb17b7f579dc041b6249c497f2e38b93bc246752afbd0b524fb6f9563a8363</citedby><cites>FETCH-LOGICAL-c551t-857bb17b7f579dc041b6249c497f2e38b93bc246752afbd0b524fb6f9563a8363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S002253471505226X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26585679$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Griffith, James W</creatorcontrib><creatorcontrib>Stephens-Shields, Alisa J</creatorcontrib><creatorcontrib>Hou, Xiaoling</creatorcontrib><creatorcontrib>Naliboff, Bruce D</creatorcontrib><creatorcontrib>Pontari, Michel</creatorcontrib><creatorcontrib>Edwards, Todd C</creatorcontrib><creatorcontrib>Williams, David A</creatorcontrib><creatorcontrib>Clemens, J. Quentin</creatorcontrib><creatorcontrib>Afari, Niloofar</creatorcontrib><creatorcontrib>Tu, Frank</creatorcontrib><creatorcontrib>Brett Lloyd, R</creatorcontrib><creatorcontrib>Patrick, Donald L</creatorcontrib><creatorcontrib>Mullins, Chris</creatorcontrib><creatorcontrib>Kusek, John W</creatorcontrib><creatorcontrib>Sutcliffe, Siobhan</creatorcontrib><creatorcontrib>Hong, Barry A</creatorcontrib><creatorcontrib>Lai, H. Henry</creatorcontrib><creatorcontrib>Krieger, John N</creatorcontrib><creatorcontrib>Bradley, Catherine S</creatorcontrib><creatorcontrib>Kim, Jayoung</creatorcontrib><creatorcontrib>Landis, J. Richard</creatorcontrib><title>Pain and Urinary Symptoms Should Not be Combined into a Single Score: Psychometric Findings from the MAPP Research Network</title><title>The Journal of urology</title><addtitle>J Urol</addtitle><description>Purpose The purpose of this study was to create symptom indexes, that is scores derived from questionnaires to accurately and efficiently measure symptoms of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome, collectively referred to as urological chronic pelvic pain syndromes. We created these indexes empirically by investigating the structure of symptoms using exploratory factor analysis. Materials and Methods As part of the MAPP (Multi-Disciplinary Approach to the Study of Chronic Pelvic Pain) Research Network 424 participants completed questionnaires, including GUPI (Genitourinary Pain Index), ICSI (Interstitial Cystitis Symptom Index) and ICPI (Interstitial Cystitis Problem Index). Individual items from questionnaires about bladder and pain symptoms were evaluated by principal component and exploratory factor analyses to identify indexes with fewer questions to comprehensively quantify symptom severity. Additional analyses included correlating symptom indexes with symptoms of depression, which is a known comorbidity of patients with pelvic pain. Results and Conclusions Exploratory factor analyses suggested that the 2 factors pain severity and urinary severity provided the best psychometric description of items in GUPI, ICSI and ICPI. These factors were used to create 2 symptom indexes for pain and urinary symptoms. Pain, but not urinary symptoms, was associated with symptoms of depression on multiple regression analysis, suggesting that these symptoms may impact patients with urological chronic pelvic pain syndromes differently ( B ± SE for pain severity = 0.24 ± 0.04, 95% CI 0.16–0.32, β = 0.32, p &lt;0.001). 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Richard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pain and Urinary Symptoms Should Not be Combined into a Single Score: Psychometric Findings from the MAPP Research Network</atitle><jtitle>The Journal of urology</jtitle><addtitle>J Urol</addtitle><date>2016-04-01</date><risdate>2016</risdate><volume>195</volume><issue>4</issue><spage>949</spage><epage>954</epage><pages>949-954</pages><issn>0022-5347</issn><eissn>1527-3792</eissn><abstract>Purpose The purpose of this study was to create symptom indexes, that is scores derived from questionnaires to accurately and efficiently measure symptoms of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome, collectively referred to as urological chronic pelvic pain syndromes. We created these indexes empirically by investigating the structure of symptoms using exploratory factor analysis. Materials and Methods As part of the MAPP (Multi-Disciplinary Approach to the Study of Chronic Pelvic Pain) Research Network 424 participants completed questionnaires, including GUPI (Genitourinary Pain Index), ICSI (Interstitial Cystitis Symptom Index) and ICPI (Interstitial Cystitis Problem Index). Individual items from questionnaires about bladder and pain symptoms were evaluated by principal component and exploratory factor analyses to identify indexes with fewer questions to comprehensively quantify symptom severity. Additional analyses included correlating symptom indexes with symptoms of depression, which is a known comorbidity of patients with pelvic pain. Results and Conclusions Exploratory factor analyses suggested that the 2 factors pain severity and urinary severity provided the best psychometric description of items in GUPI, ICSI and ICPI. These factors were used to create 2 symptom indexes for pain and urinary symptoms. Pain, but not urinary symptoms, was associated with symptoms of depression on multiple regression analysis, suggesting that these symptoms may impact patients with urological chronic pelvic pain syndromes differently ( B ± SE for pain severity = 0.24 ± 0.04, 95% CI 0.16–0.32, β = 0.32, p &lt;0.001). Our results suggest that pain and urinary symptoms should be assessed separately rather than combined into 1 total score. Total scores that combine the separate factors of pain and urinary symptoms into 1 score may be limited for clinical and research purposes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26585679</pmid><doi>10.1016/j.juro.2015.11.012</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Biomedical Research
chronic pain
Chronic Pain - diagnosis
cystitis, interstitial
Cystitis, Interstitial - diagnosis
Depression - diagnosis
factor analysis, statistical
Female
Humans
Male
Middle Aged
Pain Measurement
Patient Care Team
Pelvic Pain - diagnosis
prostatitis
Psychometrics
Surveys and Questionnaires
Symptom Assessment - methods
urinary bladder
Urology
Young Adult
title Pain and Urinary Symptoms Should Not be Combined into a Single Score: Psychometric Findings from the MAPP Research Network
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