Comparison of doctor and patient assessments of asthma control (original) (raw)
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Respiratory medicine, 2006
The 7-item Asthma Control Questionnaire (ACQ) has been validated to measure the goals of asthma management as defined by international guidelines (minimisation of day- and night-time symptoms, activity limitation, beta(2)-agonist use and bronchoconstriction). Responses are given on a 7-point scale and the overall score is the mean of the responses (0=totally controlled, 6=severely uncontrolled). The aim of this analysis was to determine the cut-point on the ACQ that best differentiates between 'well-controlled' and 'not well-controlled' for (a) clinical practice (low risk of missing 'not well-controlled') and (b) clinical trials (low risk of including 'well-controlled'). All 1323 patients who provided data sets at week 12 in the Gaining Optimal Asthma Control (GOAL) clinical trial were included in the analysis. The gold standard for 'well-controlled' was a composite based on the GINA/NIH guidelines and derived from data collected in the clinic...
Achieving asthma control in practice: Understanding the reasons for poor control
Respiratory Medicine, 2008
Achieving asthma control remains an elusive goal for the majority of patients worldwide. Ensuring a correct diagnosis of asthma is the first step in assessing poor symptom control; this requires returning to the basics of history taking and physical examination, in conjunction with lung function measurement when appropriate. A number of factors may contribute to suboptimal asthma control. Concomitant rhinitis, a common co-pathology and contributor to poor control, can often be identified by asking a simple question. Smoking too has been identified as a cause of poor asthma control. Practical barriers such as poor inhaler technique must be addressed. An appreciation of patients' views and concerns about maintenance asthma therapy can help guide discussion to address perceptual barriers to taking maintenance therapy (doubts about personal necessity and concerns about potential adverse effects). Further study into, and a greater consideration of, factors and patient characteristics that could predict a v a i l a b l e a t w w w . s c i e n c e d i r e c t . c o m j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / r m e d Respiratory Medicine (2008) 102, 1681e1693
The correlation between asthma control and health status: the GOAL study
European Respiratory Journal, 2006
The present study examined the association between guideline-derived asthma control and health-related quality of life, assessed using the Asthma Quality of Life Questionnaire (AQLQ), in patients with uncontrolled asthma whose treatment was directed towards achieving the highest possible level of control.
Development of the asthma control test☆A survey for assessing asthma control
Journal of Allergy and Clinical Immunology, 2004
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 0.84. ACT scale scores discriminated between groups of patients differing in the specialist's rating of asthma control (F = 34.5, P < .00001), the need for change in patient's therapy (F = 40.3, P < .00001), and percent predicted FEV 1 (F = 4.3, 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 0.77. Conclusion: Results reinforce the usefulness of a brief, easy to administer, patient-based index of asthma control. (J Allergy Clin Immunol 2004;113:59-65.)
Reality and understanding of asthma control
Chronic respiratory disease, 2015
The aim of this study was to describe the level and perception of control in severe asthma in Trinidad after the introduction of revised guidelines for asthma management. Adult asthmatics (N = 329) at Trinidad's chest clinics were cross-sectionally examined for guideline-defined disease control. Patients' mean (SD) age was 54.36 (14.9) years, with body mass index = 28.54 (7.4) kg/meter(2), and females were proportionally more (246, 74.74%). Measured (45.29%) and perceived (18.96%) uncontrolled disease were poorly concordant (κ statistic = 0.197). Co-morbidity (≥2 conditions) correlated with uncontrolled disease in 55.80% of patients (Spearman correlation p = 0.03). Absolute peak expiratory flow was higher (p < 0.001) in controlled and/or partially controlled disease than in uncontrolled asthma. Routine work limitation, night-time disturbances, work absenteeism, exacerbations, rescue inhalation and perceived control correlated with uncontrolled asthma (p < 0.001). Few p...
BMC Family Practice, 2011
Background: Assessing asthma control using standardised questionnaires is recommended as good clinical practice but there is little evidence validating their use within primary care. There is however, strong empirical evidence to indicate that age, weight, gender, smoking, symptom pattern, medication use, health service resource use, geographical location, deprivation, and organisational issues, are factors strongly associated with asthma control. A good control measure is therefore one whose variation is most explained by these factors. Method: Eight binary (Yes = poor control, No = good control) models of asthma control were constructed from a large UK primary care dataset: the Royal College of Physicians 3-Questions (RCP-3Qs); the Jones Morbidity Index; three composite measures; three single component models. Accounting for practice clustering of patients, we investigated the effects of each model for assessing control. The binary models were assessed for goodness-of-fit statistics using Pseudo R-squared and Akaikes Information Criteria (AIC), and for performance using Area Under the Receiver Operator Characteristic (AUROC). In addition, an expanded RCP-3Q control scale (0-9) was derived and assessed with linear modelling. The analysis identified which model was best explained by the independent variables and thus could be considered a good model of control assessment.
Utility of Asthma Control Questionnaire 7 in the assessment of asthma control
Jornal Brasileiro de Pneumologia, 2014
Our objective was to evaluate the reproducibility of Asthma Control Questionnaire 7 (ACQ-7) in asthma patients, comparing our results against those obtained with the Global Initiative for Asthma (GINA) criteria. We evaluated 52 patients. Patients completed the ACQ-7, underwent spirometry, and were clinically assessed to determine the level of asthma control according to the GINA criteria, in two visits, 15 days apart. The ACQ-7 cutoff for uncontrolled asthma was a score of 1.5. The ACQ-7 showed good reproducibility, with a correlation coefficient of 0.73. The ACQ-7 identified a greater number of patients with uncontrolled asthma than did the GINA criteria; according to the GINA criteria, 47 patients (90.4%) presented with partially controlled asthma.
Factors Contributing Towards Poor Asthma Control in Patients on Regular Medication
Journal of Clinical and Diagnostic Research, 2016
Introduction: In-spite of the availability of effective medications, it is observed that patients with bronchial asthma on treatment are poorly controlled. An objective evaluation of asthma control especially with respect to inflammation and the factors contributing towards poor control is crucial in obtaining relief of symptoms. Aim: 1) To measure the asthma control using modified Mini Asthma Quality Of Life Questionnaire (MAQOL) and sputum eosinophil count; 2) To identify the role of factors viz. age, duration of asthma, severity, compliance, technique of inhalation and knowledge of asthma action plan on asthma control. Materials and Methods: Total 50 asthmatic patients on regular medication were included in the study after obtaining written informed consent. The asthma-control was evaluated based on history, clinical symptoms, need for short-acting bronchodilators, FEVs1 and sputum eosinophil count with the help of modified MAQOL. A global score of <80% was considered as poor control. The proportion of patients under each factor, in poorly-controlled group (PC) was compared with the well-controlled group (WC). The results were analysed using descriptive statistics and unpaired student’s t-test. Results: Of the total, 33 (66%) patients were in PC category with a mean global asthma score of 58.46 ± 2.881 vs 85.2 ± 1.19 in the WC group (34%) (p<0.05). The mean age in PC was 41.41 ± 2.413 vs 29.00 ± 2.157(p<0.05) in the WC. The mean duration of asthma was 16.76 ± 2.761 in PC vs 7.882 ± 2.065 years in WC (p<0.05). The severity score was 7.265 ± 0.4434 in PC vs 6.706 ± 0.64 in WC. Eight patients in PC and six in WC were unaware of the treatment plan. One in PC group and three in WC were unaware of technique of inhalation. One in PC group and three in WC were non–compliant. Mean sputum eosinophil count was 7.441 ± 1.081 in PC vs 5.176 ± 1.201 in WC. Conclusion: MAQOL is useful in evaluating asthma-control. Sputum eosinophil count correlates with asthma-control. Duration of asthma, age and severity contributed significantly to the poor control of asthma. There is a need for an objective monitoring in asthma and the treatment strategies need to be modified accordingly.