Can asthma control be improved by understanding the patient's perspective?
© Horne et al; licensee BioMed Central Ltd. 2007
Received: 16 November 2006
Accepted: 22 May 2007
Published: 22 May 2007
Clinical trials show that asthma can be controlled in the majority of patients, but poorly controlled asthma still imposes a considerable burden. The level of asthma control achieved reflects the behaviour of both healthcare professionals and patients. A key challenge for healthcare professionals is to help patients to engage in self-management behaviours with optimal adherence to appropriate treatment. These issues are particularly relevant in primary care, where most asthma is managed. An international panel of experts invited by the International Primary Care Respiratory Group considered the evidence and discussed the implications for primary care practice.
Causes of poor control
Clinical factors such as exposure to triggers and concomitant rhinitis are important but so are patient behavioural factors. Behaviours such as smoking and nonadherence may reduce the efficacy of treatment and patients' perceptions influence these behaviours. Perceptual barriers to adherence include doubting the need for treatment when symptoms are absent and concerns about potential adverse effects. Under-treatment may also be related to patients' underestimation of the significance of symptoms, and lack of awareness of achievable control.
Three key implications for healthcare professionals emerged from the debate. First, the need for simple tools to assess asthma control. Two approaches considered were the monitoring of biometric markers of control and questionnaires to record patient-reported outcomes. Second, to understand the reasons for poor control for individual patients, identifying both clinical (e.g. rhinitis) and behavioural factors (e.g. smoking and nonadherence to treatment). Third was the need to incorporate, within asthma review, an assessment of patient perspectives including their goals and aspirations and to elicit their beliefs and concerns about asthma and its treatment. This can be used as a basis for agreement between the healthcare professional and patient on a predefined target regarding asthma control and a treatment plan to achieve this.
Optimum review of asthma is essential to improve control. A key priority is the development of simple and effective tools for identifying poor control for individual patients coupled with a tailored approach to treatment to enable patients to set and achieve realistic goals for asthma control.
Asthma is a chronic inflammatory disease of the airways, resulting in widespread but variable airflow obstruction in response to a variety of stimuli. Airflow obstruction is usually reversible, either spontaneously or with treatment, though remodelling may lead to irreversible structural changes.
National and international guidelines clearly state that the aim of asthma management is to achieve and maintain control[1, 2]. Controlled asthma is characterised by minimal or no symptoms during the day and at night, no asthma attacks, no emergency visits to physicians or hospitals, minimal need for reliever medications, no limitations on physical activities and exercise, nearly normal lung function and minimal or no side-effects from medication.
With the medical treatments currently available, it is possible to achieve control in the majority of patients with asthma, at least in the artificial setting of a clinical trial. However, in the real world where patients make choices that may reflect conflicting priorities, asthma still imposes a considerable burden on healthcare systems, largely as a result of poor control.
There is evidence, from a 10 year Finish study, that enhancing the delivery of healthcare services, can improve asthma control but, in most countries, poor control remains a significant burden for patients and the healthcare system. An analysis of nine studies conducted in Australia, Canada, France, Sweden, UK and USA showed that around one third of the direct costs of asthma, and three-quarters of the total costs of asthma, were a consequence of uncontrolled disease. In a US study conducted in 1993, the average cost per patient ranged from US$47 for those with controlled disease, to US$7030 for those with uncontrolled symptoms. A survey in the UK found that the annual cost of a patient who experienced an asthma exacerbation (indicative of uncontrolled asthma) was more than 3.5 times the cost of those who did not experience an attack (£381 vs. £108). International studies have confirmed the high cost of managing exacerbations[8, 9].
Reasons for poor control
Co-morbidity (e.g. rhinitis, COPD)
Severe therapy-resistant disease
Ongoing exposure to triggers (e.g. occupational asthma, pets, mite etc)
Ineffective delivery of treatment (e.g. poor inhaler technique)
Limited treatment effectiveness (e.g. smoking interfering with steroid actions)
Inadequate use of action plans
Low patient and physician expectations
Low adherence with agreed asthma therapy
Functional and psychological problems affecting willingness to use therapy
Over-reliance on complementary/alternative treatment
Not attending medical consultations
Patients do not perceive symptoms as indicative of poor control
These issues are of particular relevance in primary care, where the majority of patients with asthma are managed. An international panel of general practitioners, respiratory physicians, patient representatives and others with an interest in asthma control, under the auspices of the International Primary Care Respiratory Group (IPCRG), considered the evidence about patient perspectives and discussed the resulting implications. This report summarises the discussion.
Presentations by group members on different aspects of asthma control resulted in a wide ranging discussion that crystallised around three key questions.
1. What levels of asthma control are patients currently achieving?
2. What are the common causes of poor control?
3. What are the main patient-related determinants of asthma control?
Each of these questions is addressed, below.
1 – What levels of asthma control are patients currently achieving?
Large population-based studies, varying in methodology and funding, suggest that a substantial proportion of patients with asthma currently experience suboptimal levels of asthma control. The AIRE (Asthma Insights and Reality in Europe) study, involving over 2,800 people with asthma in France, Germany, Italy, Netherlands, Spain, Sweden and UK, found that asthma symptoms are part of everyday life for many patients. More than half (56%) of the respondents (identified by telephone interviews of randomly selected households) suffered daytime symptoms in the last 4 weeks, and around one in three respondents experienced sleep disruption due to asthma at least once a week. Among the 753 children (<16 years) surveyed, 28% suffered night time symptoms in the previous month, with 61% needing to use their rescue medication.
Findings consistent with the AIRE study have been reported from the INSPIRE (INternational aSthma Patient Insight REsearch) study. This study, conducted in eleven countries (Australia, Belgium, Canada, France, Germany, Italy, Netherlands, Spain, Sweden, UK, USA), included 3,415 adults with asthma treated with inhaled corticosteroids, recruited via their physicians and interviewed by telephone. Nearly three-quarters of the patients (74%) used a short-acting bronchodilator every day and half of all patients (51%) had at least one exacerbation requiring medical intervention in the past year. The mean number of asthma worsenings was 16 in those patients with uncontrolled asthma, compared with 6 in patients with well-controlled asthma.
2 – What are the common causes of poor control?
There are many reasons why asthma may be poorly controlled, both clinical and behavioural. Important clinical factors include the genetic characteristics of the individual, type of asthma (e.g. aspirin-sensitivity, neutrophilic activity), co-morbidity (e.g. dysfunctional breathing, allergic rhinitis)[13, 14]. The behaviour of both clinicians and patients is also an important determinant of the level of asthma control achieved.
Patient behaviours are also key as the level of asthma control is influenced by adherence to treatment and other self-management behaviours and smoking. Patients' may also fail to consult their doctor. A UK survey found that 10% of asthmatic patients had seen no health professional about asthma in the previous 3 years.
3 – What are the main patient-related determinants of asthma control?
Patient expectations, aspirations and goals
Patients may unnecessarily accept symptoms, assuming that frequent symptoms, exacerbations and lifestyle limitations are an inevitable consequence of having asthma. In the AIRE study, the majority of patients considered themselves to have controlled asthma, yet symptom levels showed control failing to reach the levels expected by management guidelines. Patients may not realise that effective treatments are available. This was demonstrated in a study of 517 patients in the UK. While 58% of patients reported that they were very satisfied with the standard of their asthma management, this fell to 33% after being shown the standards that patients can expect, as detailed in international guidelines. Such work implies that there is a need to raise patient expectations by increasing awareness of the quality of life that could be attained.
What level of control do patients want to achieve?
When asked about the things that they most dislike about asthma, patients most report symptoms such as cough, breathlessness, and lifestyle restrictions. In a study of patients with asthma, 55% of respondents reported that they would find a written action plan helpful, though another study reported that 45% of patients neither had nor wanted regular asthma review. Some of the goals that patients say they want are apparently contradictory (e.g. they may want few symptoms and no impact on activities, but do not want to take medication that could help achieve this). In real life, patients make choices between different attributes of the disease and its treatment, trading off one aspect for another – just as they may choose between consumer goods that offer different features at different costs. Discrete choice experiments allow integration of these different aspects in one measure by presenting patients with a choice of scenarios, each of which includes the key characteristics at different levels. Health technology assessment agencies, such as NICE, may use information from discrete choice experiments to understand the issues that matter to patients.
A discrete choice experiment showed that patients were willing to experience higher levels of wheeze and sleep disturbance to avoid cough and breathlessness . However, patients who have not experienced an exacerbation may not rate avoidance of an attack as highly as those who have suffered one, possibly because of the pronounced impact of an exacerbation on quality of life. Discrete choice experiments have also been used to assess patient preference for different treatment regimens and for autonomy in decision-making in asthma management.
Patient goals and asthma control
Currently, asthma control is measured in ways defined by healthcare professionals (e.g. use of reliever medication, lung function, need for unscheduled healthcare). However, these standard methods use surrogate markers that do not seem to be necessarily relevant to the individual patient. In contrast, psychological treatments routinely use patient-defined goals, achievement of which can be seen by both patient and healthcare professional as markers of improvement. For example, an agoraphobic patient may set a goal of walking to the shop to buy a newspaper each day. Identifying and using patient goals has been shown to encourage patient involvement, which may lead to better adherence with therapy. It is also consistent with the view that effective therapy is that which satisfies the patient's goals and expectations.
Few published studies have explored this issue in asthma with the exception of two recent studies. In the first study in 329 adults with asthma, patients were asked to name up to three personal goals, achievement of which would indicate to them that their asthma treatment was effective. One year later, patients were asked to score the extent to which they had achieved their goals. Most patients (92%) were able to set three goals. Themes from patient-named goals were categorised qualitatively, subject to inter-rater reliability, with key words identified for each theme. Four main themes were identified: reducing activity limitation (named by 60% of participants), reducing asthma symptoms (named by 52% of patients), avoiding/reducing exacerbations (named by 46% of patients), and 38% wished to reduce their use of relief treatment. Within these themes, patients could name more specific behavioural goals (e.g. avoiding use of out-of-hours service, being able to play more sport). Patient-set goals appeared to be responsive to change. When asked to score the achievement of their goals at the end of the study, 49% of participants considered that they had achieved or partially achieved their own goals of treatment.
In the second study of 83 patients with exercise-induced asthma treated using montelukast or placebo, patients were also able to set their own goals. The nature of these goals was very similar to that found previously, falling into four themes of reducing activity limitations, asthma symptoms, exacerbations and use of medication. These were more sensitive to change than the responses to the Royal College of Physicians' three questions.
Patient adherence to treatment and other aspects of self-management
Patients may not take the medications they have been prescribed, contributing to poor disease control. Regardless of age, gender and socioeconomic status of patients, and type and severity of disease, non-adherence rates of over 30% have consistently been noted across chronic illnesses and with even higher rates of nonadherence to inhaled corticosteroids. Non-adherence may be lower for more complex regimens, but significant non-adherence remains even when the frequency of dosing is reduced[36, 37]. Furthermore, providing clear information – although essential – is not enough to guarantee adherence.
Nonadherence is best thought of as a variable behaviour, rather than a trait characteristic: most people are nonadherent some of the time. Nonadherence can have both intentional and unintentional causes. Unintentional nonadherence arises from capacity and resource limitations that prevent patients from implementing their decisions to follow treatment recommendations and involves individual constraints (e.g. poor inhaler technique, problems remembering doses etc) and aspects of their environment (e.g. problems of accessing prescriptions, cost, competing demands etc). Intentional nonadherence arises from the beliefs, attitudes and expectations that influence patients' motivation to begin and persist with the treatment regimen.
Patients' 'common-sense' beliefs about treatment and perceptions of asthma
Patients' self-management of their asthma is strongly influenced by their 'common-sense' beliefs about illness and treatment. Patients do not blindly follow treatment advice even when it comes from trusted parishioners. Rather they evaluate whether the advice makes common sense in the light of their own understanding and beliefs about the illness and treatment . Patients' adherence to medication is particularly influenced by the way in which they evaluate their personal need for medication relative to their concerns about potential negative effects of taking it. The utility of this simple necessity-concerns framework in explaining nonadherence has been shown in studies across a range of chronic illnesses [41–43], including asthma.
Patients are more likely to doubt the necessity of treatment if they do not perceive a good fit with their common-sense understanding of their illness and symptoms experiences relative to expectations[45, 46]. A study of adherence to ICS in community-managed asthma patients in the UK showed that for many patients, the medical model of asthma as a chronic condition requiring daily preventer treatment was perceived to be at odds with their symptomatic experience of asthma as an episodic condition (e.g. my asthma isn't there when I don't have symptoms). These patients were more likely to doubt their personal need for daily ICS and were significantly less adherent. Moreover, patients' concerns about potential adverse effects of medication become more salient when they doubt the necessity of treatment. Patients' concerns about prescribed treatment extend beyond the experience of side effects to include more abstract worries arising from negative beliefs about pharmaceuticals such as the potential for dependence and long-term effects.
Mistrust of orthodox therapies may be one reason why many patients resort to unproven complimentary or alternative treatments for asthma. Surveys have shown high levels of use of such treatments by asthmatics in spite of a poor evidence base for efficacy.
Patients' beliefs about asthma and its treatment may be a hidden determinant of nonadherence when they are not volunteered in the consultation. If healthcare professionals are not aware of patient beliefs and hold different (sometimes opposing) beliefs about the nature of the illness and its appropriate treatment, then the consultation is unlikely to lead to successful outcomes. Where people lack information they may have inaccurate and uninformed views on the illness. They may also ignore missing information, devalue a treatment option, or make inferences based on the limited information they do have. Although patient beliefs govern their attitudes towards therapy, these beliefs are not fixed and can be changed through education and negotiation. Finally, other psychological factors such as anxiety and depression may influence patient behaviour and asthma control. Socioeconomic status and ethnicity are also important.
Implications for practice
Three implications for health care professionals emerged from the debate on the patient's perspective of asthma control. The need
1. For simple tools to assess and monitor asthma control;
2. To identify the patient-related reasons for poor control;
3. To incorporate patient perspectives into the routine review of asthma in primary care
Each of these implications is discussed in turn, below.
1 – Assessing and monitoring asthma control
Severity vs. control
Management guidelines for asthma, as with many other diseases, include treatment algorithms based on severity of disease, as defined by the clinical features before treatment or by the treatment given[1, 2]. Severity usually refers to the degree of underlying pathology. Deciding the severity of asthma is not always easy. When respiratory specialists were shown a number of case studies and asked to assign the severity of the asthma for each case, there was considerable disagreement. The inherent variability of asthma also presents problems for classification of severity. Severe asthma, defined as persisting symptoms despite high levels of treatment, is likely to have a number of underlying reasons, including psychological and adherence factors.
Although the factors indicating control may be the same as those indicating severity (e.g. persistent symptoms, impaired lung function, high bronchodilator use, oral steroid use, unscheduled consultations, hospitalisations, life-threatening attacks), there is a difference in the two concepts. Patients with severe asthma can be well-controlled, while those with mild underlying disease can show signs of poorly controlled disease. Changing the management plan to one based on control and the goals of patients may show improved outcomes compared to a plan based on severity.
Hospital-based studies have suggested that outcomes may be better with treatment algorithms based on parameters that are more closely linked to control than usual symptom-based management protocols. There is a reduction in exacerbation rate, although a higher inhaled corticosteroid load received, in patients given treatments that optimise reduction in bronchial hyperreactivity, rather than treatment on the basis of symptoms. Likewise, a treatment strategy based on normalisation of sputum eosinophil levels resulted in reduced exacerbations compared to standard management protocols, without increasing steroid exposure. A randomised controlled trial conducted in New Zealand used a management strategy incorporating exhaled nitric oxide (NO) readings and achieved control that was at least as good as that obtained with a guideline-based approach but using a lower inhaled steroid dosage. The GOAL study used a strategy based on the combined aims of treatment given in the GINA guidelines, and showed that the majority of patients treated with individually titrated doses of inhaled corticosteroids, either alone or in combination with long-acting beta2-agonist, could achieve and maintain control.
The need for simple valid and reliable measures of asthma control
Current methods used to imply level of asthma control
Day, night, exercise-induced
% predicted, % variability
Healthcare resource use
Rescue medication, oral steroids, emergency consultations, hospitalisation
Not suitable for routine clinical use
Sputum eosinophils, exhaled NO
Numerous questionnaires available
Assessment of asthma has traditionally been based on parameters noted in management guidelines, such as lung function and symptoms. However, there is little correlation between commonly measured objective measurement of lung function using peak flow meters or spirometry and the level of symptoms or quality of life impairment perceived by patients, and less easily measured parameters such as lung hyper-inflation may show better correlations with symptoms such as breathlessness. This may be due, in part, to other factors that influence perception of symptoms, such as concomitant anxiety, depression and socioeconomic status. The demonstration of variability and reversibility of airflow limitation confirms asthma but the absence of these features at a given moment in time does not preclude the diagnosis.
Ideal features of a tool to assess asthma control
Convenient to perform
Objective measure of asthma control
Simple Numeric value
Give a clear Target to guide treatment
Reliable, valid and responsive to changes in asthma control over time
Able to predict Outcomes
Complementary to Lung function tests
Biometric markers assess factors associated with the pathogenesis of asthma. The definition of asthma encompasses airways hyperresponsiveness and inflammation, which may both be more closely linked to asthma control than traditional measures of symptoms and lung function. Measurements of bronchial hyperreactivity have higher sensitivity and specificity for the diagnosis of asthma than measurements of diurnal variation in peak flow[62, 63]. Exacerbations occur more frequently in patients with high bronchial reactivity, compared with those with reduced bronchial reactivity, though there is poor correlation between bronchial hyperreactivity and markers of inflammation. Bronchial hyperreactivity can be assessed by direct challenge (e.g. inhalation of histamine or methacholine) or indirectly (e.g. using exercise, or inhalation of hypertonic saline or mannitol). However, measurements of bronchial hyperreactivity are time consuming, and require appropriate equipment and healthcare professional expertise as well as patient cooperation, limiting the value of the approach as a practical measure of control. There is some interest in the use of mannitol BHR but this approach has yet to be fully evaluated in primary care.
Inflammation is central to the pathogenesis of asthma, with anti-inflammatory treatment forming the basis of asthma management. New technological developments enable non-invasive measurement of inflammation. Eosinophil count estimations in spontaneously produced or induced sputum can be measured as a marker of control, though the method requires appropriate expertise and laboratory support so is not currently suitable for use in routine primary care. Another surrogate measure of inflammation is exhaled nitric oxide (NO). NO is produced in low levels by airways epithelial and endothelial cells, but inflammatory cells contribute to greatly increased levels, explaining the observed correlation between NO-levels and eosinophilic inflammation. Until recently, exhaled NO estimations necessitated the use of expensive monitoring equipment restricted to secondary care and research settings. However, technological advances have resulted in the development of inexpensive, handheld monitors to record exhaled NO, which are potentially available for use in primary care. This biometric method for assessment of control has some promise and is currently being evaluated.
Patient-based outcome measures
Criteria for selecting patient-based outcome measures 
Match to the specific purpose and question to be addressed
Reproducible and internally consistent
Measures what it purports to measure
Sensitivity to changes of importance to patients
Number and accuracy of distinctions made by the instrument
How meaningful the scores are
How acceptable to the respondents
Effort, burden and disruption to staff and clinical care
There are a number of asthma-specific patient-based measures available that vary in characteristics, technical validity and ease of use. The Rule of Two™ consists of three items covering asthma symptoms and rescue medication use, each of which is answered with 'yes' (= 2 points) or 'no' (= 1 point) so that summing the answers gives a score ranging from 3 (= poor control) to 6 (= good control). Although some validation of the instrument has been carried out, there is no information on a minimal important difference and limited data on responsiveness. However, the instrument is quick and easy to use in consultations. The 30-second test is widely used in Canada, where it is recommended in management guidelines. Although the six questions are easy and quick to answer with yes/no, responsiveness has not been determined. The Royal College of Physicians three questions are validated against other tools, widely used in the UK and recommended in management guidelines. With the questions requiring simple yes/no answers, the method is quick and easy to use in clinical practice. Tools such as the Asthma Control Test™ (ACT)[69, 70], and the Asthma Control Questionnaire™ (ACQ)[71, 72] are also useful, and show good correlation with each other [53, 73]. The ACT is shorter, requires no calculations and includes a question on the patient's view of control so gives a useful insight into the patient perspective. Both the ACT and ACQ are validated tools that are reliable and responsive to changes in asthma control over time, and provide a single numerical indication of control that has the potential to provide a target to drive management, analogous to that of a blood pressure measurement or a lipid measurement for management of hypertension or dyslipidaemia. Both measures have the potential to influence long-term asthma outcomes, raising expectations for asthma management and facilitating the achievement of asthma control.
2 – Identifying and addressing patient-related reasons for poor control
Identifying poor asthma control is the first step in improving it. The next step is to establish the reasons for poor control in individual patients. This should include an assessment of whether patient behaviours such as smoking or treatment nonadherence might be contributory factors. Patients may be reluctant to admit smoking or nonadherence if they believe that this will offend the clinician. However, asking adherence questions in a supportive manner, which sanctions nonadherence, can overcome this problem leading to more accurate reports.
It is also important to identify the specific reasons for nonadherence in individual patients. One of the reasons why previous interventions to improve adherence have met with limited success is that they have taken a 'one-size fits all' approach, rather than individualising the approach to meet the specific needs of the patient. Interventions to facilitate optimum adherence with asthma therapy are likely to be more effective if they are individualised and address perceptual barriers (e.g. patient beliefs and expectations) as well as practical barriers (e.g. regimen convenience, ability to use inhaler devices).
Healthcare professionals can provide information about illness and treatment. However, unless the information given has an impact on patients' common-sense beliefs about the illness and treatment, it will not change patient behaviour. Healthcare professionals should ask about current illness and treatment beliefs. Although patient beliefs govern attitudes towards therapy, these beliefs are not fixed and can be changed through education and negotiation, leading to a better understanding of asthma that may promote more effective self-care behaviours. In short, what people believe about their asthma may affect how they cope with it, and tailored education is the first stage. A three-step approach, covering perceptions and practicalities, has been suggested to facilitate optimal adherence to appropriately prescribed treatment. This suggests that healthcare professionals should:
1) provide a common-sense rationale for the necessity of treatment that is consistent with the patient's common-sense model of asthma and their goals for asthma control
2) elicit and address specific concerns about treatment
3) prescribe a convenient treatment regimen tailored to address practical barriers to adherence (e.g. correct inhaler technique, use of combination inhalers to reduce inhaler load (if indicated)).
Identifying and addressing misplaced health beliefs (e.g. asthma is an episodic disease) may be helped by tailoring education to the patient's own needs and goals. Explicitly eliciting patient goals and using these as a basis for treatment and education may allow professionals to identify more effectively what is important to the patient and allow the patient to assess meaningful changes in their asthma. The importance of the patient in their own self-care is increasingly recognised, with development of initiatives to support self-care. Teaching physicians to improve interactions with patients can result in greater ability to address patients' fears about asthma medication and improvement in asthma control.
3 – Incorporating patient perspectives into the routine review of asthma in primary care
The identification of non-adherence as a cause of poor control, and the factors contributing to poor adherence, has increased recognition of the need for individual patient-centred reviews. However, there are increasing resource constraints in primary care. Currently, asthma reviews are often not standardised in structure and data collection, are not comprehensive, fail to address the needs and expectations of patients, are ineffective at reducing morbidity and mortality, and are poorly attended.
The Minimal Asthma Assessment Tool (MAAT) is under development as a method to address some of these issues, and to help prioritise patients for primary care review by identifying poor asthma control and the causes of poor control for individual patients. The MAAT consists of a brief 2-page questionnaire covering patient views about preventer inhalers, actual use and perceived side-effects, how asthma affects the individual, and issues likely to affect asthma control such as smoking and co-morbid rhinitis. An international study is planned to evaluate use of the MAAT. The development of effective tools to facilitate more efficient, patient-centred review of asthma in primary care is vital to improving asthma control and patient quality of life.
It is possible to improve current levels of asthma control if healthcare professionals do four things:
1) use appropriate, patient-centred tools to assess control
2) identify the reasons for poor control in individual patients
3) work with patients to design individual treatment plans that address poor control and the causes of poor control, taking account of patient goals and aspirations
4) monitor outcomes and take appropriate action through regular review
A medical writer, Dr Diane Storey, attended the discussion and produced the first draft of the manuscript. The IPCRG invited the participants, organised the discussion and contracted the medical writer, with expenses covered by an unrestricted educational grant from GlaxoSmithKline.
- Global Initiative for Asthma (GINA): GINA. [http://www.ginasthma.com]
- BTS British Thoracic Society/Scottish Intercollegiate Guidelines Network: Guidelines on asthma management. Thorax. 2003, 58 (suppl 1): i1-i94.Google Scholar
- Bateman ED, Boushey HA, Bousquet J, Busse WW, Clark TJ, Pauwels RA, Pedersen SE: Can guideline-defined asthma control be achieved? The Gaining Optimal Asthma ControL study. American Journal of Respiratory Critical Care Medicine. 2004, 170 (8): 836-844. 10.1164/rccm.200401-033OC.View ArticlePubMedGoogle Scholar
- Haahtela T, Klaukka T, Koskela K, Erhola M, Laitinen LA: Asthma programme in Finland: a community problem needs community solutions. Thorax. 2001, 56 (10): 806-814. 10.1136/thorax.56.10.806.View ArticlePubMedPubMed CentralGoogle Scholar
- Barnes PJ, Jonsson B, Klim JB: The costs of asthma. European Respiratory Journal. 1996, 9 (4): 636-642. 10.1183/09031936.96.09040636.View ArticlePubMedGoogle Scholar
- Lamb HM, Culy CR, Faulds D: Inhaled fluticasone propionate. A pharmacoeconomic review of its use in the management of asthma. Pharmacoeconomics. 2000, 18 (5): 487-510. 10.2165/00019053-200018050-00008.View ArticlePubMedGoogle Scholar
- Hoskins G, McCowan C, Neville RG, Thomas GE, Smith B, Silverman S: Risk factors and costs associated with an asthma attack. Thorax. 2000, 55 (1): 19-24. 10.1136/thorax.55.1.19.View ArticlePubMedPubMed CentralGoogle Scholar
- Lane S, Molina J, Plusa T: An international observational prospective study to determine the cost of asthma exacerbations (COAX). Respiratory Medicine. 2006, 100 (3): 434-450. 10.1016/j.rmed.2005.06.012.View ArticlePubMedGoogle Scholar
- Williams AE, Lloyd AC, Rabe KF: Reduced cost of unscheduled healthcare resource use in patients with well-controlled asthma. Eur Respir J. 2005, 26 (suppl 49): 44s-Google Scholar
- Horne R: Beliefs and adherence to treatment: the challenge for research and clinical practice. The Power of Belief: Psychosocial Influence on Illness, Disability and Medicine. Edited by: Halligan, P.W., Aylward, M. 2006, Oxford , Oxford University Press, 115 -1136.View ArticleGoogle Scholar
- Rabe KF, Vermeire PA, Soriano JB, Maier WC: Clinical management of asthma in 1999: the Asthma Insights and Reality in Europe (AIRE) study. European Respiratory Journal. 2000, 16 (5): 802-807. 10.1183/09031936.00.16580200.View ArticlePubMedGoogle Scholar
- Partridge MR, van der Molen T, Myrseth SE, Busse WW: Attitudes and actions of asthma patients on regular maintenance therapy: the INSPIRE study. BMC Pulm Med. 2006, 6 (13):Google Scholar
- Thomas M, McKinley RK, Freeman E, Foy C, Prodger P, Price D: Breathing retraining for dysfunctional breathing in asthma: a randomised controlled trial. Thorax. 2003, 58 (2): 110-115. 10.1136/thorax.58.2.110.View ArticlePubMedPubMed CentralGoogle Scholar
- Thomas M, Kocevar VS, Zhang Q, Yin DD, Price D: Asthma-related health care resource use among asthmatic children with and without concomitant allergic rhinitis. Pediatrics. 2005, 115 (1): 129-134.PubMedGoogle Scholar
- Price D, Wolfe S: Patients' use and views on the service provided. Asthma Journal. 2000, 5: 141-144.Google Scholar
- Price D, Ryan D, Pearce L, Bride F: The AIR study: asthma in real life. Asthma Journal. 1999, 4: 74-78.Google Scholar
- Juniper EF, Chauhan A, Neville E, Chatterjee A, Svensson K, Mork AC, Stahl E: Clinicians tend to overestimate improvements in asthma control: an unexpected observation. Primary Care Respiratory Journal. 2004, 13 (4): 181-184. 10.1016/j.pcrj.2004.04.003.View ArticlePubMedGoogle Scholar
- Boulet LP, Phillips R, O'Byrne P, Becker A: Evaluation of asthma control by physicians and patients: comparison with current guidelines. Canadian Respiratory Journal. 2002, 9 (6): 417-423.View ArticlePubMedGoogle Scholar
- Cochrane GM, Horne R, Chanez P: Compliance in asthma. Respiratory Medicine. 1999, 93 (11): 763-769. 10.1016/S0954-6111(99)90260-3.View ArticlePubMedGoogle Scholar
- Tomlinson JE, McMahon AD, Chaudhuri R, Thompson JM, Wood SF, Thomson NC: Efficacy of low and high dose inhaled corticosteroid in smokers versus non-smokers with mild asthma. Thorax. 2005, 60 (4): 282-287. 10.1136/thx.2004.033688.View ArticlePubMedPubMed CentralGoogle Scholar
- National Asthma Campaign: Out in the open: A true picture of asthma in the United Kingdom today. National Asthma Campaign Audit 2001. Asthma Journal. 2001, 6 (suppl): 1-14.Google Scholar
- Lai CK, De Guia TS, Kim YY, Kuo SH, Mukhopadhyay A, Soriano JB, Trung PL, Zhong NS, Zainudin N, Zainudin BM: Asthma control in the Asia-Pacific region: the Asthma Insights and Reality in Asia-Pacific Study. Journal of Allergy and Clinical Immunology. 2003, 111 (2): 263-268. 10.1067/mai.2003.30.View ArticlePubMedGoogle Scholar
- Haughney J, Barnes G, Partridge M, Cleland J: The Living & Breathing Study: a study of patients' views of asthma and its treatment. Primary Care Respiratory Journal. 2004, 13 (1): 28-35. 10.1016/j.pcrj.2003.11.007.View ArticlePubMedGoogle Scholar
- Ryan M: Discrete choice experiments in health care. BMJ. 2004, 328 (7436): 360-361. 10.1136/bmj.328.7436.360.View ArticlePubMedPubMed CentralGoogle Scholar
- Osman LM, McKenzie L, Cairns J, Friend JA, Godden DJ, Legge JS, Douglas JG: Patient weighting of importance of asthma symptoms. Thorax. 2001, 56 (2): 138-142. 10.1136/thorax.56.2.138.View ArticlePubMedPubMed CentralGoogle Scholar
- Andersson F, Borg S, Stahl E: The impact of exacerbations on the asthmatic patient's preference scores. Journal of Asthma. 2003, 40 (6): 615-623. 10.1081/JAS-120019032.View ArticlePubMedGoogle Scholar
- Johansson G, Stallberg B, Tornling G, Andersson S, Karlsson GS, Falt K, Berggren F: Asthma treatment preference study: a conjoint analysis of preferred drug treatments. Chest. 2004, 125 (3): 916-923. 10.1378/chest.125.3.916.View ArticlePubMedGoogle Scholar
- Adams RJ, Smith BJ, Ruffin RE: Patient preferences for autonomy in decision making in asthma management. Thorax. 2001, 56 (2): 126-132. 10.1136/thorax.56.2.126.View ArticlePubMedPubMed CentralGoogle Scholar
- Beck AT: Cognitive therapy and emotional disorders. 1976, New York , International Universities PressGoogle Scholar
- Laing RD: The voice of experience. 1982, New York , PantheonGoogle Scholar
- Kruithof N, Cleland J, Moffat M, Crescenzi K, Price D: Patient set treatment goals: a tool to measure patients' perceptions of changes in asthma outcomes. Primary Care Respiratory Journal. 2004, 13: 118-119.Google Scholar
- Kruithof N, Cleland J, Bose A, Deshpande A, Triegaardt J, Price D: Patient set treatment goals: a more sensitive measure of change than standard symptom questions. Primary Care Respiratory Journal. 2004, 13: 119-Google Scholar
- Royal College of Physicians' three questions: RCPLondon. 101 (3): 638-644. [http://www.rcplondon.ac.uk/news/news.asp?PR_id=70]
- DiMatteo MR: Variations in patients' adherence to medical recommendations: a quantitative review of 50 years of research. Medical Care. 2004, 42 (3): 200-209. 10.1097/01.mlr.0000114908.90348.f9.View ArticlePubMedGoogle Scholar
- Cochrane MG, Bala MV, Downs KE, Mauskopf J, Ben Joseph RH: Inhaled corticosteroids for asthma therapy: patient compliance, devices, and inhalation technique. Chest. 2000, 117 (2): 542-550. 10.1378/chest.117.2.542.View ArticlePubMedGoogle Scholar
- Claxton AJ, Cramer J, Pierce C: A systematic review of the associations between dose regimens and medication compliance. Clin Ther. 2001, 23 (8): 1296-1310. 10.1016/S0149-2918(01)80109-0.View ArticlePubMedGoogle Scholar
- Horne R, Weinman J, Barber N, Elliott RA, Morgan M: Concordance, adherence and compliance in medicine taking: a conceptual map and research priorities. 2005, London , National Co-ordinating Centre for NHS Service Delivery and Organisation NCCSDOGoogle Scholar
- Weinman J: Providing written information for patients: psychological considerations. Journal of the Royal Society of Medicine. 1990, 83 (5): 303-305.PubMedPubMed CentralGoogle Scholar
- Horne R: Compliance, adherence, and concordance: implications for asthma treatment. Chest. 2006, 130 (1 Suppl): 65S-72S. 10.1378/chest.130.1_suppl.65S.View ArticlePubMedGoogle Scholar
- Horne R: Treatment perceptions and self regulation. The self-regulation of health and illness behaviour. Edited by: Cameron LD, Leventhal H. 2003, London , Routledge, 138-153.Google Scholar
- Butler JA, Peveler RC, Roderick P, Smith PWF, Horne R, Mason JC: Modifiable risk factors for non-adherence to immunosuppressants in renal transplant recipients: a cross sectional study. Nephrology Dialysis Transplantation. 2004, 19 (12): 3144-3149. 10.1093/ndt/gfh505.View ArticleGoogle Scholar
- Aikens JE, Nease DE, Nau DP, Klinkman MS, Schwenk TL: Adherence to maintenance-phase antidepressant medication as a function of patient beliefs about medication. Ann Fam Med. 2005, 3 (1): 23-30. 10.1370/afm.238.View ArticlePubMedPubMed CentralGoogle Scholar
- Horne R: Measuring adherence: the case for self-report. International Journal of Behavioural Medicine. 2004, 11 (Suppl): 75-Google Scholar
- Horne R, Weinman J: Patients' beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. Journal of Psychosomatic Research. 1999, 47 (6): 555-567. 10.1016/S0022-3999(99)00057-4.View ArticlePubMedGoogle Scholar
- Horne R, Weinman J: Self regulation and self management in asthma: exploring the role of illness perceptions and treatment beliefs in explaining non-adherence to preventer medication. Psychology and Health. 2002, 17 (1): 17-32. 10.1080/08870440290001502.View ArticleGoogle Scholar
- Halm EA, Mora P, Leventhal H: No symptoms, no asthma: the acute episodic disease belief is associated with poor self-management among inner-city adults with persistent asthma. Chest. 2006, 129 (3): 573-580. 10.1378/chest.129.3.573.View ArticlePubMedGoogle Scholar
- Horne R, Weinman J, Hankins M: The Beliefs about Medicines Questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication. Psychology and Health. 1999, 14: 1-24.View ArticleGoogle Scholar
- Ernst E: Complementary therapies for asthma: what patients use. Journal of Asthma. 1998, 35 (8): 667-671.View ArticlePubMedGoogle Scholar
- Petrie KJ, Cameron L, Ellis CJ, Buick D, Weinman J: Changing illness perceptions after myocardial infarction: an early intervention randomized controlled trial. Psychosomatic Medicine. 2002, 64 : 580-586.View ArticlePubMedGoogle Scholar
- Kullowatz A, Kanniess F, Dahme B, Magnussen H, Ritz T: Association of depression and anxiety with health care use and quality of life in asthma patients. Respiratory Medicine.Google Scholar
- Rimington LD, Davies DH, Lowe D, Pearson MG: Relationship between anxiety, depression, and morbidity in adult asthma patients. Thorax. 2001, 56 (4): 266-271. 10.1136/thorax.56.4.266.View ArticlePubMedPubMed CentralGoogle Scholar
- Netuveli G, Hurwitz B, Levy M, Fletcher M, Barnes G, Durham SR, Sheikh A: Ethnic variations in UK asthma frequency, morbidity, and health-service use: a systematic review and meta-analysis. Lancet. 2005, 365 (9456): 312-317.View ArticlePubMedGoogle Scholar
- Schatz M, Kosinski M, Sorkness C, Li J, Marcus P, Murray J, Nathan R, Jhingran P: Comparison of two patient-based measures of asthma control: ACT and ACQ. Proceedings of the American Thoracic Society. 2005, 2(Abs): A255-Google Scholar
- Baker KM, Brand DA, Hen J: Classifying asthma: disagreement among specialists. Chest. 2003, 124 (6): 2156-2163. 10.1378/chest.124.6.2156.View ArticlePubMedGoogle Scholar
- Calhoun WJ, Sutton LB, Emmett A, Dorinsky PM: Asthma variability in patients previously treated with beta2-agonists alone. Journal of Allergy and Clinical Immunology. 2003, 112 (6): 1088-1094. 10.1016/j.jaci.2003.09.044.View ArticlePubMedGoogle Scholar
- Heaney LG, Robinson DS: Severe asthma treatment: need for characterising patients. Lancet. 2005, 365 (9463): 974-976. 10.1016/S0140-6736(05)71087-4.View ArticlePubMedGoogle Scholar
- Sont JK, Willems LN, Bel EH, van Krieken JH, Vandenbroucke JP, Sterk PJ: Clinical control and histopathologic outcome of asthma when using airway hyperresponsiveness as an additional guide to long-term treatment. The AMPUL Study Group. American Journal of Respiratory and Critical Care Medicine. 1999, 159 (4 Pt 1): 1043-1051.View ArticlePubMedGoogle Scholar
- Green RH, Brightling CE, McKenna S, Hargadon B, Parker D, Bradding P, Wardlaw AJ, Pavord ID: Asthma exacerbations and sputum eosinophil counts: a randomised controlled trial. Lancet. 2002, 360 (9347): 1715-1721. 10.1016/S0140-6736(02)11679-5.View ArticlePubMedGoogle Scholar
- Smith AD, Cowan JO, Brassett KP, Herbison GP, Taylor DR: Use of exhaled nitric oxide measurements to guide treatment in chronic asthma. New England Journal of Medicine. 2005, 352 (21): 2163-2173. 10.1056/NEJMoa043596.View ArticlePubMedGoogle Scholar
- Teeter JG, Bleecker ER: Relationship between airway obstruction and respiratory symptoms in adult asthmatics. Chest. 1998, 113 (2): 272-277.View ArticlePubMedGoogle Scholar
- Filippelli M, Duranti R, Gigliotti F, Bianchi R, Grazzini M, Stendardi L, Scano G: Overall contribution of chest wall hyperinflation to breathlessness in asthma. Chest. 2003, 124 (6): 2164-2170. 10.1378/chest.124.6.2164.View ArticlePubMedGoogle Scholar
- Goldstein MF, Veza BA, Dunsky EH, Dvorin DJ, Belecanech GA, Haralabatos IC: Comparisons of peak diurnal expiratory flow variation, postbronchodilator FEV(1) responses, and methacholine inhalation challenges in the evaluation of suspected asthma. Chest. 2001, 119 (4): 1001-1010. 10.1378/chest.119.4.1001.View ArticlePubMedGoogle Scholar
- Hunter CJ, Brightling CE, Woltmann G, Wardlaw AJ, Pavord ID: A comparison of the validity of different diagnostic tests in adults with asthma. Chest. 2002, 121 (4): 1051-1057. 10.1378/chest.121.4.1051.View ArticlePubMedGoogle Scholar
- Berry MA, Shaw DE, Green RH, Brightling CE, Wardlaw AJ, Pavord ID: The use of exhaled nitric oxide concentration to identify eosinophilic airway inflammation: an observational study in adults with asthma. Clinical and Experimental Allergy. 2005, 35 (9): 1175-1179. 10.1111/j.1365-2222.2005.02314.x.View ArticlePubMedGoogle Scholar
- Fitzpatrick R, Davey C, Buxton MJ, Jones DR: Evaluating patient-based outcome measures for use in clinical trials. Health Technol Assess Rep. 1998, 2 (14): 1-74.Google Scholar
- The EuroQol Group: EuroQol: A new facility for the measurement of health-related quality of life. Health Policy. 1990, 16 (3): 199-208. 10.1016/0168-8510(90)90421-9.View ArticleGoogle Scholar
- Rule of Two: Rule of two. [http://www.baylorhealth.com/medicalspecialties/asthma/asthmaprograms.htm#Rof2]
- 30-second test: Asthma in Canada. [http://www.asthmaincanada.ca/index.php]
- Asthma Control Test: Asthma control test. [http://www.asthmacontroltest.com/]
- Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, Murray JJ, Pendergraft TB: Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol. 2004, 113 (1): 59-65. 10.1016/j.jaci.2003.09.008.View ArticlePubMedGoogle Scholar
- Juniper EF, O'Byrne PM, Guyatt GH, Ferrie PJ, King DR: Development and validation of a questionnaire to measure asthma control. Eur Respir J. 1999, 14 (4): 902-907. 10.1034/j.1399-3003.1999.14d29.x.View ArticlePubMedGoogle Scholar
- Asthma Control Questionnaire: Qoltech.co.uk. [http://www.qoltech.co.uk/Asthma1.htm#acq]
- Marcus P, Schatz M, Kosinski M, Sorkness C, Li J, Nathan R, Murray J, Jhingran P: Effectiveness of ACT and Rules of Two in screening and monitoring for asthma control. Proceedings of the American Thoracic Society. 2005, 2(Abs): A255-Google Scholar
- Haynes RB, McDonald H, Garg AX, Montague P: Interventions for helping patients to follow prescriptions for medications. CochraneDatabaseSystRev. 2002, 2000 (2): CD000011-Google Scholar
- Horne R: Compliance, adherence and concordance. Pharmacy Practice. Edited by: Taylor K, Harding G. 2001, London , Taylor and Francis, 165-184.Google Scholar
- Tomkins S, Collins A: Promoting optimal self-care. Dorset and Somerset Strategic Health Authority. 2006Google Scholar
- Clark N, Jones P, Keller S, Vermeire P: Patient factors and compliance with asthma therapy. Respiratory Medicine. 1999, 93 (12): 856-862. 10.1016/S0954-6111(99)90050-1.View ArticlePubMedGoogle Scholar
- Horne R, Musgrave S, Lee A, Price D: The Minimal Asthma Assessment Tool (MAAT): a new method for prioritising patients for primary care review by identifying poor asthma control and the causes of poor control. General Practice Airways Group Annual Scientific Conference. 2005, Crewe, UKGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2466/7/8/prepub
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