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      Development and psychometric assessment of the COPD and Asthma Sleep Impact Scale (CASIS)

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          Abstract

          Background

          Patients with respiratory disease experience disturbed sleep, but there is no widely accepted measure of sleep impairment due to respiratory disease. We developed and evaluated the psychometric performance of a patient-reported measure to assess the impact on sleep due to respiratory disease, the COPD and Asthma Sleep Impact Scale (CASIS).

          Methods

          Identification of the items forming the CASIS was guided by patient interviews and focus groups. An observational study involving patients from the US and UK was then conducted to assess the psychometric characteristics of the measure.

          Results

          Qualitative data from 162 patients were used to develop the CASIS (n = 78 COPD; n = 84 asthma). The observational study included 311 patients with COPD and 324 patients with asthma. The final seven items used in the CASIS were identified based on factor and item response theory analyses. Internal consistency was 0.90 (COPD) and 0.92 (asthma), and test-retest reliability was 0.84 (both groups). In the COPD sample, CASIS scores were significantly correlated with the Saint George's Respiratory Questionnaire scores (all p < 0.0001) and differed significantly by patient-reported disease severity, exacerbation status, and overall health status (all p ≤ 0.005). In the asthma sample, CASIS scores were significantly correlated with the Asthma Quality of Life Questionnaire scores (all p < 0.0001) and differed significantly by clinician and patient-reported disease severity, exacerbation status, and overall health status (all p ≤ 0.0005).

          Conclusion

          The CASIS shows good internal consistency, test-retest reliability, and construct validity and may be useful in helping to understand the impact that COPD and asthma have on sleep outcomes.

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          Most cited references13

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation.

            Before being introduced to wide use, health status instruments should be evaluated for reliability and validity. Increasingly, they are also tested for responsiveness to important clinical changes. Although standards exist for assessing these properties, confusion and inconsistency arise because multiple statistics are used for the same property; controversy exists over how to measure responsiveness; many statistics are unavailable on common software programs; strategies for measuring these properties vary; and it is often unclear how to define a clinically important change in patient status. Using data from a clinical trial of therapy for back pain, we demonstrate the calculation of several statistics for measuring reproducibility and responsiveness, and demonstrate relationships among them. Simple computational guides for several statistics are provided. We conclude that reproducibility should generally be quantified with the intraclass correlation coefficient rather than the more common Pearson r. Assessing reproducibility by retest at one-to-two week intervals (rather than a shorter interval) may result in more realistic estimates of the variability to be observed among control subjects in a longitudinal study. Instrument responsiveness should be quantified using indicators of effect size, a modified effect size statistic proposed by Guyatt, or the use of receiver operating characteristic (ROC) curves to describe how well various score changes can distinguish improved from unimproved patients.
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              The St. Mary's Hospital sleep questionnaire: a study of reliability.

              A systematic sleep questionnaire has been devised for assessing the previous night's sleep of a subject. It has been designed for repeated use. It is completed by the subject and is framed with the needs of the hospital patient in mind. In the present study it was given to 93 subjects in four different groups: 16 surgical inpatients, 21 medical inpatients, 32 psychiatric inpatients (in a general hospital unit), and 24 normal volunteers. Test retest reliability correlations have been derived using a nonparametric correlation coefficient (Kendall's tau). Each of the items achieved statistically significant reliability (p less than 0.0001) in all four groups, with the value for tau on the total sample varying from 0.70 to 0.96. The St. Mary's (or SMH) Sleep Questionnaire is put forward as an instrument that is a systematic inquiry into the subject's experience of sleep and that is composed of items of demonstrable reliability.
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                Author and article information

                Journal
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central
                1477-7525
                2009
                7 December 2009
                : 7
                : 98
                Affiliations
                [1 ]United BioSource Corporation, Bethesda, MD, USA
                [2 ]Health Outcomes Research, Galen Research, Manchester, UK
                [3 ]Department of Psychology, University of Central Lancashire, Preston, UK
                [4 ]Novartis Research Center, Horsham, UK
                Article
                1477-7525-7-98
                10.1186/1477-7525-7-98
                2794842
                19968881
                f4f25d48-524a-45c0-88cf-43e4babccffb
                Copyright ©2009 Pokrzywinski et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 April 2009
                : 7 December 2009
                Categories
                Research

                Health & Social care
                Health & Social care

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