Loading…

Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment

Rationale, aims and objectives  Our objective was to describe the factors associated with doctor‐rated and patient‐rated gout severity to explain how doctor assessment involving patient‐reported outcomes can improve the clinical management of gout. Methods  Patients completed a newly validated gout‐...

Full description

Saved in:
Bibliographic Details
Published in:Journal of evaluation in clinical practice 2010-12, Vol.16 (6), p.1244-1247
Main Authors: Sarkin, Andrew J., Levack, Ashley E., Shieh, Marian M., Kavanaugh, Arthur F., Khanna, Dinesh, Singh, Jasvinder A., Terkeltaub, Robert A., Lee, Susan J., Hirsch, Jan D.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3
cites cdi_FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3
container_end_page 1247
container_issue 6
container_start_page 1244
container_title Journal of evaluation in clinical practice
container_volume 16
creator Sarkin, Andrew J.
Levack, Ashley E.
Shieh, Marian M.
Kavanaugh, Arthur F.
Khanna, Dinesh
Singh, Jasvinder A.
Terkeltaub, Robert A.
Lee, Susan J.
Hirsch, Jan D.
description Rationale, aims and objectives  Our objective was to describe the factors associated with doctor‐rated and patient‐rated gout severity to explain how doctor assessment involving patient‐reported outcomes can improve the clinical management of gout. Methods  Patients completed a newly validated gout‐specific health‐related quality of life instrument, the Gout Impact Scale (GIS) and other questions regarding their gout. Both patients and their doctors gave an overall gout severity assessment. We conducted correlation analyses between each predictor of interest and the two different severity ratings (doctor‐rated severity and patient‐rated severity). Stepwise multiple regressions were performed to determine the best predictors for doctor‐rated and patient‐rated severity, respectively. Results  Doctor‐rated severity more closely correlated with objective clinical and laboratory findings, particularly the presence of tophi, which was not a leading factor in patient‐rated severity assessments. Patient‐rated severity more closely correlated with the domains of the GIS, which expressed the impact of gout on health‐related quality of life. Conclusion  Doctors might have a better understanding of their patients' level of disease impact if they incorporate an instrument such as the GIS in their evaluation of gout severity and their decisions regarding aggressiveness of treatment. The increased use of patient‐reported outcomes measures has the potential to improve quality of care and patient satisfaction, as well as reduce costs of health care utilization.
doi_str_mv 10.1111/j.1365-2753.2009.01303.x
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_822902021</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>822902021</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3</originalsourceid><addsrcrecordid>eNqNkMtOwzAQRS0E4lH4BZQdqwQ_4sRBYoEQtKAKKgGCneXYE5SSNMVOoP17YlK6xhvfGd8zY12EAoIj0p_zeURYwkOachZRjLMIE4ZZtNpBh9uHXa95EhKaxQfoyLk59i6e7qMDilNKhYgPkZpZMKVuG-uCpghM42VoVQsmUAsTLFVbwqLddN6brg0cfIEt2_XFUJb1Uum-q1UFzle2-YJAOQfO1T16jPYKVTk42dwj9HJ783w9CaeP47vrq2moY5ywkDNmcGw4AUMBKFaxMoIlRuRpkuAMKAfCgAseG8OoKkReEKHyNNVxpmmu2QidDXP7D3x24FpZl05DVakFNJ2TgtIMU0xJ7xSDU9vGOQuFXNqyVnYtCZY-XzmXPkbpY5Q-X_mbr1z16OlmSZfXYLbgX6C94XIwfJcVrP89WN7fzLzq-XDgS9fCassr-yGTlKVcvj6MZTwTbxNBEvnEfgASuZmT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>822902021</pqid></control><display><type>article</type><title>Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Sarkin, Andrew J. ; Levack, Ashley E. ; Shieh, Marian M. ; Kavanaugh, Arthur F. ; Khanna, Dinesh ; Singh, Jasvinder A. ; Terkeltaub, Robert A. ; Lee, Susan J. ; Hirsch, Jan D.</creator><creatorcontrib>Sarkin, Andrew J. ; Levack, Ashley E. ; Shieh, Marian M. ; Kavanaugh, Arthur F. ; Khanna, Dinesh ; Singh, Jasvinder A. ; Terkeltaub, Robert A. ; Lee, Susan J. ; Hirsch, Jan D.</creatorcontrib><description>Rationale, aims and objectives  Our objective was to describe the factors associated with doctor‐rated and patient‐rated gout severity to explain how doctor assessment involving patient‐reported outcomes can improve the clinical management of gout. Methods  Patients completed a newly validated gout‐specific health‐related quality of life instrument, the Gout Impact Scale (GIS) and other questions regarding their gout. Both patients and their doctors gave an overall gout severity assessment. We conducted correlation analyses between each predictor of interest and the two different severity ratings (doctor‐rated severity and patient‐rated severity). Stepwise multiple regressions were performed to determine the best predictors for doctor‐rated and patient‐rated severity, respectively. Results  Doctor‐rated severity more closely correlated with objective clinical and laboratory findings, particularly the presence of tophi, which was not a leading factor in patient‐rated severity assessments. Patient‐rated severity more closely correlated with the domains of the GIS, which expressed the impact of gout on health‐related quality of life. Conclusion  Doctors might have a better understanding of their patients' level of disease impact if they incorporate an instrument such as the GIS in their evaluation of gout severity and their decisions regarding aggressiveness of treatment. The increased use of patient‐reported outcomes measures has the potential to improve quality of care and patient satisfaction, as well as reduce costs of health care utilization.</description><identifier>ISSN: 1356-1294</identifier><identifier>EISSN: 1365-2753</identifier><identifier>DOI: 10.1111/j.1365-2753.2009.01303.x</identifier><identifier>PMID: 20722884</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Aged ; Female ; gout ; Gout - physiopathology ; Health Services Research ; Humans ; Male ; Middle Aged ; Pain Measurement - instrumentation ; patient-reported outcomes ; Patients - psychology ; Physicians - psychology ; Quality of Life ; Regression Analysis ; Severity of Illness Index ; United States</subject><ispartof>Journal of evaluation in clinical practice, 2010-12, Vol.16 (6), p.1244-1247</ispartof><rights>2010 Blackwell Publishing Ltd</rights><rights>2010 Blackwell Publishing Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3</citedby><cites>FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3</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/20722884$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sarkin, Andrew J.</creatorcontrib><creatorcontrib>Levack, Ashley E.</creatorcontrib><creatorcontrib>Shieh, Marian M.</creatorcontrib><creatorcontrib>Kavanaugh, Arthur F.</creatorcontrib><creatorcontrib>Khanna, Dinesh</creatorcontrib><creatorcontrib>Singh, Jasvinder A.</creatorcontrib><creatorcontrib>Terkeltaub, Robert A.</creatorcontrib><creatorcontrib>Lee, Susan J.</creatorcontrib><creatorcontrib>Hirsch, Jan D.</creatorcontrib><title>Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment</title><title>Journal of evaluation in clinical practice</title><addtitle>J Eval Clin Pract</addtitle><description>Rationale, aims and objectives  Our objective was to describe the factors associated with doctor‐rated and patient‐rated gout severity to explain how doctor assessment involving patient‐reported outcomes can improve the clinical management of gout. Methods  Patients completed a newly validated gout‐specific health‐related quality of life instrument, the Gout Impact Scale (GIS) and other questions regarding their gout. Both patients and their doctors gave an overall gout severity assessment. We conducted correlation analyses between each predictor of interest and the two different severity ratings (doctor‐rated severity and patient‐rated severity). Stepwise multiple regressions were performed to determine the best predictors for doctor‐rated and patient‐rated severity, respectively. Results  Doctor‐rated severity more closely correlated with objective clinical and laboratory findings, particularly the presence of tophi, which was not a leading factor in patient‐rated severity assessments. Patient‐rated severity more closely correlated with the domains of the GIS, which expressed the impact of gout on health‐related quality of life. Conclusion  Doctors might have a better understanding of their patients' level of disease impact if they incorporate an instrument such as the GIS in their evaluation of gout severity and their decisions regarding aggressiveness of treatment. The increased use of patient‐reported outcomes measures has the potential to improve quality of care and patient satisfaction, as well as reduce costs of health care utilization.</description><subject>Aged</subject><subject>Female</subject><subject>gout</subject><subject>Gout - physiopathology</subject><subject>Health Services Research</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pain Measurement - instrumentation</subject><subject>patient-reported outcomes</subject><subject>Patients - psychology</subject><subject>Physicians - psychology</subject><subject>Quality of Life</subject><subject>Regression Analysis</subject><subject>Severity of Illness Index</subject><subject>United States</subject><issn>1356-1294</issn><issn>1365-2753</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkMtOwzAQRS0E4lH4BZQdqwQ_4sRBYoEQtKAKKgGCneXYE5SSNMVOoP17YlK6xhvfGd8zY12EAoIj0p_zeURYwkOachZRjLMIE4ZZtNpBh9uHXa95EhKaxQfoyLk59i6e7qMDilNKhYgPkZpZMKVuG-uCpghM42VoVQsmUAsTLFVbwqLddN6brg0cfIEt2_XFUJb1Uum-q1UFzle2-YJAOQfO1T16jPYKVTk42dwj9HJ783w9CaeP47vrq2moY5ywkDNmcGw4AUMBKFaxMoIlRuRpkuAMKAfCgAseG8OoKkReEKHyNNVxpmmu2QidDXP7D3x24FpZl05DVakFNJ2TgtIMU0xJ7xSDU9vGOQuFXNqyVnYtCZY-XzmXPkbpY5Q-X_mbr1z16OlmSZfXYLbgX6C94XIwfJcVrP89WN7fzLzq-XDgS9fCassr-yGTlKVcvj6MZTwTbxNBEvnEfgASuZmT</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Sarkin, Andrew J.</creator><creator>Levack, Ashley E.</creator><creator>Shieh, Marian M.</creator><creator>Kavanaugh, Arthur F.</creator><creator>Khanna, Dinesh</creator><creator>Singh, Jasvinder A.</creator><creator>Terkeltaub, Robert A.</creator><creator>Lee, Susan J.</creator><creator>Hirsch, Jan D.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201012</creationdate><title>Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment</title><author>Sarkin, Andrew J. ; Levack, Ashley E. ; Shieh, Marian M. ; Kavanaugh, Arthur F. ; Khanna, Dinesh ; Singh, Jasvinder A. ; Terkeltaub, Robert A. ; Lee, Susan J. ; Hirsch, Jan D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Female</topic><topic>gout</topic><topic>Gout - physiopathology</topic><topic>Health Services Research</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pain Measurement - instrumentation</topic><topic>patient-reported outcomes</topic><topic>Patients - psychology</topic><topic>Physicians - psychology</topic><topic>Quality of Life</topic><topic>Regression Analysis</topic><topic>Severity of Illness Index</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sarkin, Andrew J.</creatorcontrib><creatorcontrib>Levack, Ashley E.</creatorcontrib><creatorcontrib>Shieh, Marian M.</creatorcontrib><creatorcontrib>Kavanaugh, Arthur F.</creatorcontrib><creatorcontrib>Khanna, Dinesh</creatorcontrib><creatorcontrib>Singh, Jasvinder A.</creatorcontrib><creatorcontrib>Terkeltaub, Robert A.</creatorcontrib><creatorcontrib>Lee, Susan J.</creatorcontrib><creatorcontrib>Hirsch, Jan D.</creatorcontrib><collection>Istex</collection><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>Journal of evaluation in clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sarkin, Andrew J.</au><au>Levack, Ashley E.</au><au>Shieh, Marian M.</au><au>Kavanaugh, Arthur F.</au><au>Khanna, Dinesh</au><au>Singh, Jasvinder A.</au><au>Terkeltaub, Robert A.</au><au>Lee, Susan J.</au><au>Hirsch, Jan D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment</atitle><jtitle>Journal of evaluation in clinical practice</jtitle><addtitle>J Eval Clin Pract</addtitle><date>2010-12</date><risdate>2010</risdate><volume>16</volume><issue>6</issue><spage>1244</spage><epage>1247</epage><pages>1244-1247</pages><issn>1356-1294</issn><eissn>1365-2753</eissn><abstract>Rationale, aims and objectives  Our objective was to describe the factors associated with doctor‐rated and patient‐rated gout severity to explain how doctor assessment involving patient‐reported outcomes can improve the clinical management of gout. Methods  Patients completed a newly validated gout‐specific health‐related quality of life instrument, the Gout Impact Scale (GIS) and other questions regarding their gout. Both patients and their doctors gave an overall gout severity assessment. We conducted correlation analyses between each predictor of interest and the two different severity ratings (doctor‐rated severity and patient‐rated severity). Stepwise multiple regressions were performed to determine the best predictors for doctor‐rated and patient‐rated severity, respectively. Results  Doctor‐rated severity more closely correlated with objective clinical and laboratory findings, particularly the presence of tophi, which was not a leading factor in patient‐rated severity assessments. Patient‐rated severity more closely correlated with the domains of the GIS, which expressed the impact of gout on health‐related quality of life. Conclusion  Doctors might have a better understanding of their patients' level of disease impact if they incorporate an instrument such as the GIS in their evaluation of gout severity and their decisions regarding aggressiveness of treatment. The increased use of patient‐reported outcomes measures has the potential to improve quality of care and patient satisfaction, as well as reduce costs of health care utilization.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20722884</pmid><doi>10.1111/j.1365-2753.2009.01303.x</doi><tpages>4</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1356-1294
ispartof Journal of evaluation in clinical practice, 2010-12, Vol.16 (6), p.1244-1247
issn 1356-1294
1365-2753
language eng
recordid cdi_proquest_miscellaneous_822902021
source Wiley-Blackwell Read & Publish Collection
subjects Aged
Female
gout
Gout - physiopathology
Health Services Research
Humans
Male
Middle Aged
Pain Measurement - instrumentation
patient-reported outcomes
Patients - psychology
Physicians - psychology
Quality of Life
Regression Analysis
Severity of Illness Index
United States
title Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T05%3A33%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictors%20of%20doctor-rated%20and%20patient-rated%20gout%20severity:%20gout%20impact%20scales%20improve%20assessment&rft.jtitle=Journal%20of%20evaluation%20in%20clinical%20practice&rft.au=Sarkin,%20Andrew%20J.&rft.date=2010-12&rft.volume=16&rft.issue=6&rft.spage=1244&rft.epage=1247&rft.pages=1244-1247&rft.issn=1356-1294&rft.eissn=1365-2753&rft_id=info:doi/10.1111/j.1365-2753.2009.01303.x&rft_dat=%3Cproquest_cross%3E822902021%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4063-533d04d51ed2ee20a4ad836d8b76609e25e13e5854dd32af8bf18ab77c49c2bc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=822902021&rft_id=info:pmid/20722884&rfr_iscdi=true