A Comparison of Traditional and Rasch Cut Points for Assessing Clinically Important Change in Health-Related Quality of Life among Patients with Asthma
Background: Patient-perceived change in health-related quality of life (HRQoL) domains has often been classified using a 15-point patient transition rating scale. However, traditional change levels of trivial (-1, 0, or 1), minimal (2, 3 or -2, -3), moderate (4, 5 or -4, -5) and large (6, 7 or -6, -...
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description | Background: Patient-perceived change in health-related quality of life (HRQoL) domains has often been classified using a 15-point patient transition rating scale. However, traditional change levels of trivial (-1, 0, or 1), minimal (2, 3 or -2, -3), moderate (4, 5 or -4, -5) and large (6, 7 or -6, -7) on this scale have been arbitrarily defined and originally assumed that change related to an improvement was the same as that for a decline. Objective: To compare traditional and Rasch partial credit model-derived cut points and the mean changes for each change categorization when assessing clinically important change in asthma-specific HRQoL. Methods: Our sample included 396 asthmatic outpatients who completed bimonthly telephone interviews on the Asthma Quality of Life Questionnaire and transition rating items over 1 year of participation. We employed item response theory in a novel approach to identify cut points on domain-specific HRQoL change data and transition ratings. After determining natural cut points for minimal, moderate, and large differences on the transition rating anchor, we calculated mean changes under change categorizations for both improvements and declines for the two transition rating classification approaches. Results: Although traditional and Rasch categorizations for small, moderate, and large changes slightly differed and displayed a lack of symmetry between improvements and declines, nearly all mean changes between classification approaches were comparable. Conclusions: In this study, traditional transition rating cut points remain suitable to assess HRQoL clinical significance in outpatients with asthma. |
doi_str_mv | 10.1007/s11136-006-0036-6 |
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However, traditional change levels of trivial (-1, 0, or 1), minimal (2, 3 or -2, -3), moderate (4, 5 or -4, -5) and large (6, 7 or -6, -7) on this scale have been arbitrarily defined and originally assumed that change related to an improvement was the same as that for a decline. Objective: To compare traditional and Rasch partial credit model-derived cut points and the mean changes for each change categorization when assessing clinically important change in asthma-specific HRQoL. Methods: Our sample included 396 asthmatic outpatients who completed bimonthly telephone interviews on the Asthma Quality of Life Questionnaire and transition rating items over 1 year of participation. We employed item response theory in a novel approach to identify cut points on domain-specific HRQoL change data and transition ratings. After determining natural cut points for minimal, moderate, and large differences on the transition rating anchor, we calculated mean changes under change categorizations for both improvements and declines for the two transition rating classification approaches. Results: Although traditional and Rasch categorizations for small, moderate, and large changes slightly differed and displayed a lack of symmetry between improvements and declines, nearly all mean changes between classification approaches were comparable. Conclusions: In this study, traditional transition rating cut points remain suitable to assess HRQoL clinical significance in outpatients with asthma.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-006-0036-6</identifier><identifier>PMID: 17036255</identifier><language>eng</language><publisher>Netherlands: Springer</publisher><subject>Adult ; Aged ; Asthma ; Asthma - diagnosis ; Clinical trials ; Computer software ; Female ; Health status ; Humans ; Instrument Development and Evaluation ; Interviews as Topic ; Item response theory ; Male ; Middle Aged ; Modeling ; Parametric models ; Quality of Life ; Questionnaires ; Sickness Impact Profile ; Surveys and Questionnaires ; Telephone interviews</subject><ispartof>Quality of life research, 2006-12, Vol.15 (10), p.1639-1649</ispartof><rights>Copyright 2006 Springer</rights><rights>Springer Science+Business Media, Inc. 2006.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-caf28f7eff4e6acf5f765b47bfe2d4900fb3a60ebcde6e6ee72c836b59a7e02c3</citedby><cites>FETCH-LOGICAL-c348t-caf28f7eff4e6acf5f765b47bfe2d4900fb3a60ebcde6e6ee72c836b59a7e02c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27641244$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27641244$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27923,27924,58016,58249</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17036255$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Metz, Stacie M.</creatorcontrib><creatorcontrib>Wyrwich, Kathleen W.</creatorcontrib><creatorcontrib>Babu, Ajit N.</creatorcontrib><creatorcontrib>Kroenke, Kurt</creatorcontrib><creatorcontrib>Tierney, William M.</creatorcontrib><creatorcontrib>Wolinsky, Fredric D.</creatorcontrib><title>A Comparison of Traditional and Rasch Cut Points for Assessing Clinically Important Change in Health-Related Quality of Life among Patients with Asthma</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><description>Background: Patient-perceived change in health-related quality of life (HRQoL) domains has often been classified using a 15-point patient transition rating scale. However, traditional change levels of trivial (-1, 0, or 1), minimal (2, 3 or -2, -3), moderate (4, 5 or -4, -5) and large (6, 7 or -6, -7) on this scale have been arbitrarily defined and originally assumed that change related to an improvement was the same as that for a decline. Objective: To compare traditional and Rasch partial credit model-derived cut points and the mean changes for each change categorization when assessing clinically important change in asthma-specific HRQoL. Methods: Our sample included 396 asthmatic outpatients who completed bimonthly telephone interviews on the Asthma Quality of Life Questionnaire and transition rating items over 1 year of participation. We employed item response theory in a novel approach to identify cut points on domain-specific HRQoL change data and transition ratings. After determining natural cut points for minimal, moderate, and large differences on the transition rating anchor, we calculated mean changes under change categorizations for both improvements and declines for the two transition rating classification approaches. Results: Although traditional and Rasch categorizations for small, moderate, and large changes slightly differed and displayed a lack of symmetry between improvements and declines, nearly all mean changes between classification approaches were comparable. Conclusions: In this study, traditional transition rating cut points remain suitable to assess HRQoL clinical significance in outpatients with asthma.</description><subject>Adult</subject><subject>Aged</subject><subject>Asthma</subject><subject>Asthma - diagnosis</subject><subject>Clinical trials</subject><subject>Computer software</subject><subject>Female</subject><subject>Health status</subject><subject>Humans</subject><subject>Instrument Development and Evaluation</subject><subject>Interviews as Topic</subject><subject>Item response theory</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Modeling</subject><subject>Parametric models</subject><subject>Quality of Life</subject><subject>Questionnaires</subject><subject>Sickness Impact Profile</subject><subject>Surveys and Questionnaires</subject><subject>Telephone interviews</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkd-K1DAUh4Mo7uzoA3ihBC-8q-ZPm7aXQ1ndhQHXZb0Op22yzZAmY5KyzJP4uqbMoCDhkMD5zi9wPoTeUfKZElJ_iZRSLgpC1soP8QJtaFXzgomyfYk2pBWsaHnJr9B1jAdCSNMS9hpd0TrjrKo26PcOd34-QjDRO-w1fgwwmmS8A4vBjfgB4jDhbkn43huXItY-4F2MKkbjnnBnjTMDWHvCd_PRhwQu4W4C96SwcfhWgU1T8aAsJDXiHwtYk07rP3ujFYbZ54x7SEat0c8mTTk7TTO8Qa802KjeXu4t-vn15rG7Lfbfv911u30x8LJJxQCaNbpWWpdKwKArXYuqL-teKzaWLSG65yCI6odRiXxUzYaGi75qoVaEDXyLPp1zj8H_WlRMcjZxUNaCU36JUjS0Fixvd4s-_gce_BLylqJsGt5Q1nKeIXqGhuBjDErLYzAzhJOkRK7K5FmZzMrkqkyKPPPhErz0sxr_TVwcZeD9GTjE5MPfPqtFSVlZ8j-McZ2p</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>Metz, Stacie M.</creator><creator>Wyrwich, Kathleen W.</creator><creator>Babu, Ajit N.</creator><creator>Kroenke, Kurt</creator><creator>Tierney, William M.</creator><creator>Wolinsky, Fredric D.</creator><general>Springer</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20061201</creationdate><title>A Comparison of Traditional and Rasch Cut Points for Assessing Clinically Important Change in Health-Related Quality of Life among Patients with Asthma</title><author>Metz, Stacie M. ; Wyrwich, Kathleen W. ; Babu, Ajit N. ; Kroenke, Kurt ; Tierney, William M. ; Wolinsky, Fredric D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-caf28f7eff4e6acf5f765b47bfe2d4900fb3a60ebcde6e6ee72c836b59a7e02c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Asthma</topic><topic>Asthma - diagnosis</topic><topic>Clinical trials</topic><topic>Computer software</topic><topic>Female</topic><topic>Health status</topic><topic>Humans</topic><topic>Instrument Development and Evaluation</topic><topic>Interviews as Topic</topic><topic>Item response theory</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Modeling</topic><topic>Parametric models</topic><topic>Quality of Life</topic><topic>Questionnaires</topic><topic>Sickness Impact Profile</topic><topic>Surveys and Questionnaires</topic><topic>Telephone interviews</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Metz, Stacie M.</creatorcontrib><creatorcontrib>Wyrwich, Kathleen W.</creatorcontrib><creatorcontrib>Babu, Ajit N.</creatorcontrib><creatorcontrib>Kroenke, Kurt</creatorcontrib><creatorcontrib>Tierney, William M.</creatorcontrib><creatorcontrib>Wolinsky, Fredric D.</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>Nursing & Allied Health Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Metz, Stacie M.</au><au>Wyrwich, Kathleen W.</au><au>Babu, Ajit N.</au><au>Kroenke, Kurt</au><au>Tierney, William M.</au><au>Wolinsky, Fredric D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Comparison of Traditional and Rasch Cut Points for Assessing Clinically Important Change in Health-Related Quality of Life among Patients with Asthma</atitle><jtitle>Quality of life research</jtitle><addtitle>Qual Life Res</addtitle><date>2006-12-01</date><risdate>2006</risdate><volume>15</volume><issue>10</issue><spage>1639</spage><epage>1649</epage><pages>1639-1649</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Background: Patient-perceived change in health-related quality of life (HRQoL) domains has often been classified using a 15-point patient transition rating scale. However, traditional change levels of trivial (-1, 0, or 1), minimal (2, 3 or -2, -3), moderate (4, 5 or -4, -5) and large (6, 7 or -6, -7) on this scale have been arbitrarily defined and originally assumed that change related to an improvement was the same as that for a decline. Objective: To compare traditional and Rasch partial credit model-derived cut points and the mean changes for each change categorization when assessing clinically important change in asthma-specific HRQoL. Methods: Our sample included 396 asthmatic outpatients who completed bimonthly telephone interviews on the Asthma Quality of Life Questionnaire and transition rating items over 1 year of participation. We employed item response theory in a novel approach to identify cut points on domain-specific HRQoL change data and transition ratings. After determining natural cut points for minimal, moderate, and large differences on the transition rating anchor, we calculated mean changes under change categorizations for both improvements and declines for the two transition rating classification approaches. Results: Although traditional and Rasch categorizations for small, moderate, and large changes slightly differed and displayed a lack of symmetry between improvements and declines, nearly all mean changes between classification approaches were comparable. Conclusions: In this study, traditional transition rating cut points remain suitable to assess HRQoL clinical significance in outpatients with asthma.</abstract><cop>Netherlands</cop><pub>Springer</pub><pmid>17036255</pmid><doi>10.1007/s11136-006-0036-6</doi><tpages>11</tpages></addata></record> |
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subjects | Adult Aged Asthma Asthma - diagnosis Clinical trials Computer software Female Health status Humans Instrument Development and Evaluation Interviews as Topic Item response theory Male Middle Aged Modeling Parametric models Quality of Life Questionnaires Sickness Impact Profile Surveys and Questionnaires Telephone interviews |
title | A Comparison of Traditional and Rasch Cut Points for Assessing Clinically Important Change in Health-Related Quality of Life among Patients with Asthma |
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