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Development of the asthma control test: A survey for assessing asthma control

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TLDR
Results reinforce the usefulness of a brief, easy to administer, patient-based index of asthma control.
Abstract
Background Asthma guidelines indicate that the goal of treatment should be optimum asthma control In a busy clinic practice with limited time and resources, there is need for a simple method for assessing asthma control with or without lung function testing Objectives The objective of this article was to describe the development of the Asthma Control Test (ACT), a patient-based tool for identifying patients with poorly controlled asthma Methods A 22-item survey was administered to 471 patients with asthma in the offices of asthma specialists The specialist's rating of asthma control after spirometry was also collected Stepwise regression methods were used to select a subset of items that showed the greatest discriminant validity in relation to the specialist's rating of asthma control Internal consistency reliability was computed, and discriminant validity tests were conducted for ACT scale scores The performance of ACT was investigated by using logistic regression methods and receiver operating characteristic analyses Results Five items were selected from regression analyses The internal consistency reliability of the 5-item ACT scale was 084 ACT scale scores discriminated between groups of patients differing in the specialist's rating of asthma control (F = 345, P P 1 (F = 43, P = 0052) As a screening tool, the overall agreement between ACT and the specialist's rating ranged from 71% to 78% depending on the cut points used, and the area under the receiver operating characteristic curve was 077 Conclusion Results reinforce the usefulness of a brief, easy to administer, patient-based index of asthma control

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Bronchodilator Response Assessed by the Forced Oscillation Technique Identifies Poor Asthma Control With Greater Sensitivity Than Spirometry

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References
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Journal ArticleDOI

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

James A. Hanley, +1 more
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TL;DR: A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented and it is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a random chosen non-diseased subject.
Journal ArticleDOI

A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

James A. Hanley, +1 more
- 01 Sep 1983 - 
TL;DR: This paper refines the statistical comparison of the areas under two ROC curves derived from the same set of patients by taking into account the correlation between the areas that is induced by the paired nature of the data.
Journal ArticleDOI

Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes

TL;DR: This model proposes a taxonomy or classification scheme for different measures of health outcome, dividing these outcomes into five levels: biological and physiological factors, symptoms, functioning, general health perceptions, and overall quality of life.
Journal ArticleDOI

Development and validation of a questionnaire to measure asthma control

TL;DR: The Asthma Control Questionnaire has strong evaluative and discriminative properties and can be used with confidence to measure asthma control.
Journal Article

Surveillance for asthma--United States, 1980-1999.

TL;DR: In this paper, the authors present national data regarding self-reported asthma prevalence, school and work days lost because of asthma, and asthma-associated activity limitations (1980-1996); asthmaassociated outpatient visits, asthmaassociated hospitalizations, asthma associated hospitalizations and asthmaassociated deaths.
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