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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‐...
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Published in: | Journal of evaluation in clinical practice 2010-12, Vol.16 (6), p.1244-1247 |
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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 |
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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> |
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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 |
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