Dynamic assessment of health outcomes: time to let the CAT out of the bag?
Background. The use of item response theory (IRT) to measure self-reported outcomes has burgeoned in recent years. Perhaps the most important application of IRT is computer-adaptive testing (CAT), a measurement approach in which the selection of items is tailored for each respondent. Objective. To p...
| Publicado en: | Health Services Research Vol. 40; no. 5P2; pp. 1694 - 1712 |
|---|---|
| Autores principales: | , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2005
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106190475&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106190475 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00179124 HSR jtl: Health Services Research issn: 00179124 maglogo: Y pubinfo: dt: Oct2005 vid: 40 iid: 5P2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 106190475 2009690990 10.1111/j.1475-6773.2005.00446.x NLM16179003 106190475 ppf: 1694 ppct: 18 formats: tig: atl: Dynamic assessment of health outcomes: time to let the CAT out of the bag? aug: au: Cook KF O'Malley KJ Roddey TS affil: Veterans Affairs Measurement Excellence Training Resource Information Center (METRIC), Houston Center for Quality Care & Utilization Studies, 801 Cortlandt St, Houston, TX 77007 sug: subj: Computerized Adaptive Testing Health Services Research Methods Outcome Assessment Psychometrics Methods Software Models, Theoretical Quality of Life Rasch Analysis Reproducibility of Results ab: Background. The use of item response theory (IRT) to measure self-reported outcomes has burgeoned in recent years. Perhaps the most important application of IRT is computer-adaptive testing (CAT), a measurement approach in which the selection of items is tailored for each respondent. Objective. To provide an introduction to the use of CAT in the measurement of health outcomes, describe several IRT models that can be used as the basis of CAT, and discuss practical issues associated with the use of adaptive scaling in research settings. Principal Points. The development of a CAT requires several steps that are not required in the development of a traditional measure including identification of 'starting' and 'stopping' rules. CAT's most attractive advantage is its efficiency. Greater measurement precision can be achieved with fewer items. Disadvantages of CAT include the high cost and level of technical expertise required to develop a CAT. Conclusions. Researchers, clinicians, and patients benefit from the availability of psychometrically rigorous measures that are not burdensome. CAT outcome measures hold substantial promise in this regard, but their development is not without challenges. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|