Application of Rasch analysis in health care is increasing and is applied for variable reasons in mobility instruments
Abstract Objective To identify the frequency of Rasch analysis use in health instrument development or refinement and the characteristics of Rasch application in mobility scales. Study Design and Setting The entire databases of Medline, CINAHL, PEDro, EMBASE, Cochrane Central Register of Controlled...
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| Veröffentlicht in: | Journal of clinical epidemiology 2010-12, Vol.63 (12), p.1287-1297 |
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| creator | Belvedere, Shane L de Morton, Natalie A |
| description | Abstract Objective To identify the frequency of Rasch analysis use in health instrument development or refinement and the characteristics of Rasch application in mobility scales. Study Design and Setting The entire databases of Medline, CINAHL, PEDro, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were searched until January 2009. Articles that reported the development or refinement of health instruments using Rasch analysis were included. Of the 234 articles that met inclusion, 10 were categorized as “mobility” instruments. Data were extracted relating to each instrument and the use of Rasch analysis in the development or refinement of the instruments. Results The number of articles reporting the use of Rasch analysis of health instruments is increasing, from 1 article in 1987 to 48 articles in 2007. Of the 10 mobility instruments examined, the primary reason Rasch was used varied. Reasons included assessing instrument unidimensionality, differential item functioning, rating categories, item hierarchy, and redundant items. Conclusion The application of Rasch analysis in health instrument development has markedly increased in recent years. However, few mobility instruments have been developed or refined using Rasch analysis. The reasons that the Rasch model was used varied across mobility instruments. |
| doi_str_mv | 10.1016/j.jclinepi.2010.02.012 |
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Study Design and Setting The entire databases of Medline, CINAHL, PEDro, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were searched until January 2009. Articles that reported the development or refinement of health instruments using Rasch analysis were included. Of the 234 articles that met inclusion, 10 were categorized as “mobility” instruments. Data were extracted relating to each instrument and the use of Rasch analysis in the development or refinement of the instruments. Results The number of articles reporting the use of Rasch analysis of health instruments is increasing, from 1 article in 1987 to 48 articles in 2007. Of the 10 mobility instruments examined, the primary reason Rasch was used varied. Reasons included assessing instrument unidimensionality, differential item functioning, rating categories, item hierarchy, and redundant items. Conclusion The application of Rasch analysis in health instrument development has markedly increased in recent years. However, few mobility instruments have been developed or refined using Rasch analysis. The reasons that the Rasch model was used varied across mobility instruments.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2010.02.012</identifier><identifier>PMID: 20971422</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Biological and medical sciences ; Epidemiology ; Humans ; Instrument development ; Instrument refinement ; Internal Medicine ; Medical sciences ; Miscellaneous ; Mobility ; Mobility Limitation ; Models, Statistical ; Movement ; Outcome Assessment (Health Care) - methods ; Outcome measurement ; Pain Measurement - methods ; Psychometrics ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Quality of Life ; Rasch ; Studies ; Supervision ; Surveys and Questionnaires ; Systematic review</subject><ispartof>Journal of clinical epidemiology, 2010-12, Vol.63 (12), p.1287-1297</ispartof><rights>Elsevier Inc.</rights><rights>2010 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2010 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-48c014643bcf15f557b22b8c9220ce2e13cb72911042b420bc7f4ebab38b18993</citedby><cites>FETCH-LOGICAL-c480t-48c014643bcf15f557b22b8c9220ce2e13cb72911042b420bc7f4ebab38b18993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0895435610001058$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23394531$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20971422$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Belvedere, Shane L</creatorcontrib><creatorcontrib>de Morton, Natalie A</creatorcontrib><title>Application of Rasch analysis in health care is increasing and is applied for variable reasons in mobility instruments</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Abstract Objective To identify the frequency of Rasch analysis use in health instrument development or refinement and the characteristics of Rasch application in mobility scales. Study Design and Setting The entire databases of Medline, CINAHL, PEDro, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were searched until January 2009. Articles that reported the development or refinement of health instruments using Rasch analysis were included. Of the 234 articles that met inclusion, 10 were categorized as “mobility” instruments. Data were extracted relating to each instrument and the use of Rasch analysis in the development or refinement of the instruments. Results The number of articles reporting the use of Rasch analysis of health instruments is increasing, from 1 article in 1987 to 48 articles in 2007. Of the 10 mobility instruments examined, the primary reason Rasch was used varied. Reasons included assessing instrument unidimensionality, differential item functioning, rating categories, item hierarchy, and redundant items. Conclusion The application of Rasch analysis in health instrument development has markedly increased in recent years. However, few mobility instruments have been developed or refined using Rasch analysis. The reasons that the Rasch model was used varied across mobility instruments.</description><subject>Biological and medical sciences</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Instrument development</subject><subject>Instrument refinement</subject><subject>Internal Medicine</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Mobility</subject><subject>Mobility Limitation</subject><subject>Models, Statistical</subject><subject>Movement</subject><subject>Outcome Assessment (Health Care) - methods</subject><subject>Outcome measurement</subject><subject>Pain Measurement - methods</subject><subject>Psychometrics</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Quality of Life</subject><subject>Rasch</subject><subject>Studies</subject><subject>Supervision</subject><subject>Surveys and Questionnaires</subject><subject>Systematic review</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkktr3DAUhU1paSZp_0IQlJKVp3rZsjelIbRpIVDoYy0k-bojV5ZcyR6Yf185M2kgm64kLt85SPecorgkeEswqd8N28E462GyW4rzENMtJvRZsSGNaMqqpeR5scFNW5WcVfVZcZ7SgDERWFQvizOKW0E4pZtifz1Nzho12-BR6NE3lcwOKa_cIdmErEc7UG7eIaMioPuJiaCS9b8y1a0TtTpAh_oQ0V5Fq7QDtDLB3xuMQVtn50O-pzkuI_g5vSpe9MoleH06L4qfnz7-uPlc3n29_XJzfVca3uC55I3BhNecadOTqq8qoSnVjWkpxQYoEGa0oC0hmFPNKdZG9By00qzRpGlbdlFcHX2nGP4skGY52mTAOeUhLEmKGlPGGa0z-eYJOYQl5j0kSTBjlAvBVr_6SJkYUorQyynaUcVDhuQajBzkQzByDUZiKnMwWXh5sl_0CN0_2UMSGXh7AnICyvVReWPTI8dYyytGMvfhyEFe295ClMlY8AY6G8HMsgv2_295_8RipXIJ3G84QHr8t0xZIL-vNVpbRHBuEK4a9hemnMQ0</recordid><startdate>20101201</startdate><enddate>20101201</enddate><creator>Belvedere, Shane L</creator><creator>de Morton, Natalie A</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>IQODW</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>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7RV</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20101201</creationdate><title>Application of Rasch analysis in health care is increasing and is applied for variable reasons in mobility instruments</title><author>Belvedere, Shane L ; de Morton, Natalie A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c480t-48c014643bcf15f557b22b8c9220ce2e13cb72911042b420bc7f4ebab38b18993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biological and medical sciences</topic><topic>Epidemiology</topic><topic>Humans</topic><topic>Instrument development</topic><topic>Instrument refinement</topic><topic>Internal Medicine</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Mobility</topic><topic>Mobility Limitation</topic><topic>Models, Statistical</topic><topic>Movement</topic><topic>Outcome Assessment (Health Care) - methods</topic><topic>Outcome measurement</topic><topic>Pain Measurement - methods</topic><topic>Psychometrics</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Quality of Life</topic><topic>Rasch</topic><topic>Studies</topic><topic>Supervision</topic><topic>Surveys and Questionnaires</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belvedere, Shane L</creatorcontrib><creatorcontrib>de Morton, Natalie A</creatorcontrib><collection>Pascal-Francis</collection><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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 Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belvedere, Shane L</au><au>de Morton, Natalie A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Rasch analysis in health care is increasing and is applied for variable reasons in mobility instruments</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2010-12-01</date><risdate>2010</risdate><volume>63</volume><issue>12</issue><spage>1287</spage><epage>1297</epage><pages>1287-1297</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>Abstract Objective To identify the frequency of Rasch analysis use in health instrument development or refinement and the characteristics of Rasch application in mobility scales. Study Design and Setting The entire databases of Medline, CINAHL, PEDro, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were searched until January 2009. Articles that reported the development or refinement of health instruments using Rasch analysis were included. Of the 234 articles that met inclusion, 10 were categorized as “mobility” instruments. Data were extracted relating to each instrument and the use of Rasch analysis in the development or refinement of the instruments. Results The number of articles reporting the use of Rasch analysis of health instruments is increasing, from 1 article in 1987 to 48 articles in 2007. Of the 10 mobility instruments examined, the primary reason Rasch was used varied. Reasons included assessing instrument unidimensionality, differential item functioning, rating categories, item hierarchy, and redundant items. Conclusion The application of Rasch analysis in health instrument development has markedly increased in recent years. However, few mobility instruments have been developed or refined using Rasch analysis. The reasons that the Rasch model was used varied across mobility instruments.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>20971422</pmid><doi>10.1016/j.jclinepi.2010.02.012</doi><tpages>11</tpages></addata></record> |
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| ispartof | Journal of clinical epidemiology, 2010-12, Vol.63 (12), p.1287-1297 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Biological and medical sciences Epidemiology Humans Instrument development Instrument refinement Internal Medicine Medical sciences Miscellaneous Mobility Mobility Limitation Models, Statistical Movement Outcome Assessment (Health Care) - methods Outcome measurement Pain Measurement - methods Psychometrics Public health. Hygiene Public health. Hygiene-occupational medicine Quality of Life Rasch Studies Supervision Surveys and Questionnaires Systematic review |
| title | Application of Rasch analysis in health care is increasing and is applied for variable reasons in mobility instruments |
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