Developing an item bank and short forms that assess the impact of asthma on quality of life
Summary The present work describes the process of developing an item bank and short forms that measure the impact of asthma on quality of life (QoL) that avoids confounding QoL with asthma symptomatology and functional impairment. Using a diverse national sample of adults with asthma ( N = 2032) we...
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Veröffentlicht in: | Respiratory medicine 2014-02, Vol.108 (2), p.252-263 |
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description | Summary The present work describes the process of developing an item bank and short forms that measure the impact of asthma on quality of life (QoL) that avoids confounding QoL with asthma symptomatology and functional impairment. Using a diverse national sample of adults with asthma ( N = 2032) we conducted exploratory and confirmatory factor analyses, and item response theory and differential item functioning analyses to develop a 65-item unidimensional item bank and separate short form assessments. A psychometric evaluation of the RAND Impact of Asthma on QoL item bank (RAND-IAQL) suggests that though the concept of asthma impact on QoL is multi-faceted, it may be measured as a single underlying construct. The performance of the bank was then evaluated with a real-data simulated computer adaptive test. From the RAND-IAQL item bank we then developed two short forms consisting of 4 and 12 items (reliability = 0.86 and 0.93, respectively). A real-data simulated computer adaptive test suggests that as few as 4–5 items from the bank are needed to obtain highly precise scores. Preliminary validity results indicate that the RAND-IAQL measures distinguish between levels of asthma control. To measure the impact of asthma on QoL, users of these items may choose from two highly reliable short forms, computer adaptive test administration, or content-specific subsets of items from the bank tailored to their specific needs. |
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Using a diverse national sample of adults with asthma ( N = 2032) we conducted exploratory and confirmatory factor analyses, and item response theory and differential item functioning analyses to develop a 65-item unidimensional item bank and separate short form assessments. A psychometric evaluation of the RAND Impact of Asthma on QoL item bank (RAND-IAQL) suggests that though the concept of asthma impact on QoL is multi-faceted, it may be measured as a single underlying construct. The performance of the bank was then evaluated with a real-data simulated computer adaptive test. From the RAND-IAQL item bank we then developed two short forms consisting of 4 and 12 items (reliability = 0.86 and 0.93, respectively). A real-data simulated computer adaptive test suggests that as few as 4–5 items from the bank are needed to obtain highly precise scores. Preliminary validity results indicate that the RAND-IAQL measures distinguish between levels of asthma control. To measure the impact of asthma on QoL, users of these items may choose from two highly reliable short forms, computer adaptive test administration, or content-specific subsets of items from the bank tailored to their specific needs.</description><identifier>ISSN: 0954-6111</identifier><identifier>EISSN: 1532-3064</identifier><identifier>DOI: 10.1016/j.rmed.2013.12.008</identifier><identifier>PMID: 24411842</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Asthma ; Asthma - prevention & control ; Asthma - psychology ; Banks ; Computer Simulation ; Factor Analysis, Statistical ; Focus groups ; Health-related quality of life ; Humans ; Item bank ; Item response theory ; Patient Acuity ; Psychometrics ; Pulmonary/Respiratory ; Quality of Life ; RAND-IAQL ; Sensitivity and Specificity ; Surveys and Questionnaires - standards ; Young Adult</subject><ispartof>Respiratory medicine, 2014-02, Vol.108 (2), p.252-263</ispartof><rights>Elsevier Ltd</rights><rights>2013 Elsevier Ltd</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Feb 2014</rights><rights>2013 Elsevier Ltd. All rights reserved. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c538t-3fb4b1803fda520fd9d93eb9cd4a539b05e0c8d32739674d0b32bb9b1d9a9edd3</citedby><cites>FETCH-LOGICAL-c538t-3fb4b1803fda520fd9d93eb9cd4a539b05e0c8d32739674d0b32bb9b1d9a9edd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0954611113004940$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24411842$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stucky, Brian D</creatorcontrib><creatorcontrib>Edelen, Maria Orlando</creatorcontrib><creatorcontrib>Sherbourne, Cathy D</creatorcontrib><creatorcontrib>Eberhart, Nicole K</creatorcontrib><creatorcontrib>Lara, Marielena</creatorcontrib><title>Developing an item bank and short forms that assess the impact of asthma on quality of life</title><title>Respiratory medicine</title><addtitle>Respir Med</addtitle><description>Summary The present work describes the process of developing an item bank and short forms that measure the impact of asthma on quality of life (QoL) that avoids confounding QoL with asthma symptomatology and functional impairment. Using a diverse national sample of adults with asthma ( N = 2032) we conducted exploratory and confirmatory factor analyses, and item response theory and differential item functioning analyses to develop a 65-item unidimensional item bank and separate short form assessments. A psychometric evaluation of the RAND Impact of Asthma on QoL item bank (RAND-IAQL) suggests that though the concept of asthma impact on QoL is multi-faceted, it may be measured as a single underlying construct. The performance of the bank was then evaluated with a real-data simulated computer adaptive test. From the RAND-IAQL item bank we then developed two short forms consisting of 4 and 12 items (reliability = 0.86 and 0.93, respectively). A real-data simulated computer adaptive test suggests that as few as 4–5 items from the bank are needed to obtain highly precise scores. Preliminary validity results indicate that the RAND-IAQL measures distinguish between levels of asthma control. To measure the impact of asthma on QoL, users of these items may choose from two highly reliable short forms, computer adaptive test administration, or content-specific subsets of items from the bank tailored to their specific needs.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Asthma</subject><subject>Asthma - prevention & control</subject><subject>Asthma - psychology</subject><subject>Banks</subject><subject>Computer Simulation</subject><subject>Factor Analysis, Statistical</subject><subject>Focus groups</subject><subject>Health-related quality of life</subject><subject>Humans</subject><subject>Item bank</subject><subject>Item response theory</subject><subject>Patient Acuity</subject><subject>Psychometrics</subject><subject>Pulmonary/Respiratory</subject><subject>Quality of Life</subject><subject>RAND-IAQL</subject><subject>Sensitivity and Specificity</subject><subject>Surveys and Questionnaires - standards</subject><subject>Young Adult</subject><issn>0954-6111</issn><issn>1532-3064</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UsFu1DAQjRCIbgs_wAFZ4sJlw0zsJGsJVaoKBaRKHIATB8uxJ11vk3hre1fav8fRlgI9cLI9fu9p3rwpilcIJQI27zZlGMmWFSAvsSoBVk-KBda8WnJoxNNiAbIWywYRT4rTGDcAIIWA58VJJQTiSlSL4ucH2tPgt266YXpiLtHIOj3d5odlce1DYr0PY2RprRPTMVKc78TcuNUmMd_nYlqPmvmJ3e304NJhLg6upxfFs14PkV7en2fFj6uP3y8_L6-_fvpyeXG9NDVfpSXvO9HhCnhvdV1Bb6WVnDpprNA1lx3UBGZledVy2bTCQserrpMdWqklWcvPivOj7nbX5YEYmlLQg9oGN-pwUF479e_P5Nbqxu-VgKbGFrPA23uB4O92FJMaXTQ0DHoiv4sKhZTIuZQiQ988gm78LkzZnsJGiLYVkjcZVR1RJvgYA_UPzSCoOTu1UXN2as5OYaVydpn0-m8bD5TfYWXA-yOA8jD3joKKxtFkyLpAJinr3f_1zx_RzeAmZ_RwSweKf3yomAnq27w98_IgBxBSAP8F0hnAZg</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Stucky, Brian D</creator><creator>Edelen, Maria Orlando</creator><creator>Sherbourne, Cathy D</creator><creator>Eberhart, Nicole K</creator><creator>Lara, Marielena</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</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>7U9</scope><scope>ASE</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140201</creationdate><title>Developing an item bank and short forms that assess the impact of asthma on quality of life</title><author>Stucky, Brian D ; Edelen, Maria Orlando ; Sherbourne, Cathy D ; Eberhart, Nicole K ; Lara, Marielena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c538t-3fb4b1803fda520fd9d93eb9cd4a539b05e0c8d32739674d0b32bb9b1d9a9edd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Asthma</topic><topic>Asthma - prevention & control</topic><topic>Asthma - psychology</topic><topic>Banks</topic><topic>Computer Simulation</topic><topic>Factor Analysis, Statistical</topic><topic>Focus groups</topic><topic>Health-related quality of life</topic><topic>Humans</topic><topic>Item bank</topic><topic>Item response theory</topic><topic>Patient Acuity</topic><topic>Psychometrics</topic><topic>Pulmonary/Respiratory</topic><topic>Quality of Life</topic><topic>RAND-IAQL</topic><topic>Sensitivity and Specificity</topic><topic>Surveys and Questionnaires - standards</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stucky, Brian D</creatorcontrib><creatorcontrib>Edelen, Maria Orlando</creatorcontrib><creatorcontrib>Sherbourne, Cathy D</creatorcontrib><creatorcontrib>Eberhart, Nicole K</creatorcontrib><creatorcontrib>Lara, Marielena</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stucky, Brian D</au><au>Edelen, Maria Orlando</au><au>Sherbourne, Cathy D</au><au>Eberhart, Nicole K</au><au>Lara, Marielena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developing an item bank and short forms that assess the impact of asthma on quality of life</atitle><jtitle>Respiratory medicine</jtitle><addtitle>Respir Med</addtitle><date>2014-02-01</date><risdate>2014</risdate><volume>108</volume><issue>2</issue><spage>252</spage><epage>263</epage><pages>252-263</pages><issn>0954-6111</issn><eissn>1532-3064</eissn><abstract>Summary The present work describes the process of developing an item bank and short forms that measure the impact of asthma on quality of life (QoL) that avoids confounding QoL with asthma symptomatology and functional impairment. Using a diverse national sample of adults with asthma ( N = 2032) we conducted exploratory and confirmatory factor analyses, and item response theory and differential item functioning analyses to develop a 65-item unidimensional item bank and separate short form assessments. A psychometric evaluation of the RAND Impact of Asthma on QoL item bank (RAND-IAQL) suggests that though the concept of asthma impact on QoL is multi-faceted, it may be measured as a single underlying construct. The performance of the bank was then evaluated with a real-data simulated computer adaptive test. From the RAND-IAQL item bank we then developed two short forms consisting of 4 and 12 items (reliability = 0.86 and 0.93, respectively). A real-data simulated computer adaptive test suggests that as few as 4–5 items from the bank are needed to obtain highly precise scores. Preliminary validity results indicate that the RAND-IAQL measures distinguish between levels of asthma control. 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subjects | Adolescent Adult Asthma Asthma - prevention & control Asthma - psychology Banks Computer Simulation Factor Analysis, Statistical Focus groups Health-related quality of life Humans Item bank Item response theory Patient Acuity Psychometrics Pulmonary/Respiratory Quality of Life RAND-IAQL Sensitivity and Specificity Surveys and Questionnaires - standards Young Adult |
title | Developing an item bank and short forms that assess the impact of asthma on quality of life |
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