Literature DB >> 17885858

Evaluating asthma control: a comparison of measures using an item response theory approach.

Sara Ahmed1, Pierre Ernst, Robyn Tamblyn, Neil Colman.   

Abstract

Self-reported symptoms, FEV(1), and clinician judgment are all used to evaluate asthma control. The relative utility of each measure of control cannot be easily assessed. Item response theory (IRT) approaches allow for the direct comparison of the utility of different types of measures used to assess control. The objective of this study was to evaluate the validity and reliability of evaluating asthma control using symptom, clinical, and physiologic measures by applying an IRT approach. Subjects receiving care at an asthma clinic were evaluated on measures of asthma control. Based on 114 evaluations, IRT parameters were estimated to evaluate whether measures assessed a single underlying construct, the hierarchical relationship between the measures and the level of control each measure assessed, whether measures targeted all levels of asthma control, and whether the scoring categories distinguished between different levels of control. Infit statistics (0.74-1.5) for individual items showed that all items fit the underlying concept of asthma control. The reproducibility of the hierarchal scale was high (0.9). The results also demonstrated that items differentiated two strata (high, low) of control. The gaps in the hierarchal scale showed that for many subjects (37%) there were no items at their level of asthma control. The IRT approach identified gaps in current measurement that need to be addressed to provide more precise evaluations of control required to accurately monitor changes in patient status.

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Year:  2007        PMID: 17885858     DOI: 10.1080/02770900701537024

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  3 in total

1.  Development of a computerized adaptive test to assess health-related quality of life in adults with asthma.

Authors:  Diane M Turner-Bowker; Michael A DeRosa; Renee N Saris-Baglama; Jakob B Bjorner
Journal:  J Asthma       Date:  2011-11-24       Impact factor: 2.515

2.  Construction of the Pediatric Asthma Impact Scale (PAIS) for the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Karin B Yeatts; Brian Stucky; David Thissen; Deb Irwin; James W Varni; Esi Morgan DeWitt; Jin-Shei Lai; Darren A DeWalt
Journal:  J Asthma       Date:  2010-04       Impact factor: 2.515

3.  Asthma worsenings: approaches to prevention and management from the Asthma Worsenings Working Group.

Authors:  Meyer Balter; Pierre Ernst; Wade Watson; Harold Kim; Lisa Cicutto; Marie-France Beauchesne; Andrew J Cave; Alan Kaplan; Donna Hogg; Andrew McIvor; Tom Smiley; Michel Rouleau; J Mark FitzGerald
Journal:  Can Respir J       Date:  2008 Nov-Dec       Impact factor: 2.409

  3 in total

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