Abstract
Background
Current asthma guidelines recommend assessing the level of a patient’s asthma control. Consequently, there is increasing use of asthma control as an outcome measure in clinical research studies. Several composite assessment instruments have been developed to measure asthma control.
Objective
National Institutes of Health (NIH) institutes and federal agencies convened an expert group to propose the most appropriate standardized composite score of asthma control instruments to be used in future asthma studies.
Methods
We conducted a comprehensive search of PubMed, using both the National Library of Medicine’s Medical Subject Headings (MeSH) and key terms to identify studies that attempted to develop and/or test composite score instruments for asthma control. We classified instruments as core (required in future studies), supplemental (used according to study aims and standardized), or emerging (requiring validation and standardization). This work was discussed at an NIH-organized workshop convened in March 2010 and finalized in September 2011.
Results
We identified 17 composite score instruments with published validation information; all had comparable content. Eight instruments demonstrated responsiveness over time; 3 demonstrated responsiveness to treatment. A minimal clinically important difference has been established for 3 instruments. The instruments have demographic limitations; some are proprietary, and their use could be limited by cost.
Conclusion
Two asthma composite score instruments are sufficiently validated for use in adult populations, but additional research is necessary to validate their use in nonwhite populations. Gaps also exist in validating instruments for pediatric populations.
Keywords: Asthma Control Questionnaire, Asthma Control Test, Asthma Therapy Assessment Questionnaire, childhood Asthma Control Test
INTRODUCTION
Asthma clinical research lacks adequate outcomes standardization. As a result, our ability to examine and compare outcomes across clinical trials and clinical studies, interpret evaluations of new and available therapeutic modalities for this disease at a scale larger than single trial, and pool data for observational studies (eg, genetics, genomics, pharmacoeconomics) is impaired.1 Several National Institutes of Health (NIH) institutes that support asthma research (National Heart, Lung, and Blood Institute, National Institute of Allergy and Infectious Diseases, National Institute of Environmental Health Sciences, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development), as well as the Agency for Healthcare Research and Quality, have agreed to an effort for outcomes standardization. This effort aims at (1) establishing standard definitions and data collection methodologies for validated outcome measures in asthma clinical research with the goal of enabling comparisons across asthma research studies and clinical trials and (2) identifying promising outcome measures for asthma clinical research that require further development. In the context of this effort, 7 expert subcommittees were established to propose and define outcomes under 3 categories—core, supplemental, and emerging:
Core outcomes are identified as a selective set of asthma outcomes to be considered by participating NIH institutes and other federal agencies as requirements for institute/agency-initiated funding of clinical trials and large observational studies in asthma.
Supplemental outcomes are asthma outcomes for which standard definitions can or have been developed, methods for measurement can be specified, and validity has been proven, but whose inclusion in funded clinical asthma research will be optional.
Emerging outcomes are asthma outcomes that have the potential to (1) expand and/or improve current aspects of disease monitoring and (2) improve translation of basic and animal model-based asthma research into clinical research. Emerging outcomes may be new or may have been previously used in asthma clinical research, but they are not yet standardized and require further development and validation.
Each subcommittee used the recently published American Thoracic Society (ATS)/European Respiratory Society (ERS) Statement: Asthma Control and Exacerbations—Standardizing Endpoints for Clinical Asthma Trials and Clinical Practice2 (hereafter referred to as the ATS/ERS Statement) as a starting point and updated, expanded, or modified its recommendations as the subcommittee deemed appropriate. Each subcommittee produced a report that was discussed, modified, and adopted by the Asthma Outcomes Workshop that took place in Bethesda, Md, on March 15 and 16, 2010. The reports were revised accordingly and finalized in September 2011. The workshop’s recommendations in regard to asthma control composite scores are presented in this article.
Current asthma guidelines emphasize that asthma control is a key therapeutic goal and recommend assessments of asthma control to guide step therapy. As such, composite measures of asthma control would be essential outcome measures for clinical trials assessing the efficacy of therapeutic interventions. However, asthma control appears to be a multidimensional construct, and there has been no universally recognized gold standard. In recent years, several questionnaire instruments have been developed and validated as measures of the construct of asthma control. These instruments include dimensions beyond symptoms and rescue therapy frequency. The task for the Composite Scores of Asthma Control subcommittee was to review instruments that attempt to capture the multiple dimensions of asthma control in a composite score.
A comprehensive search of the literature, combined with expert input, identified a total of 17 instruments to capture asthma control. We identified and reviewed studies that validated the different instruments, as well as publications of epidemiologic studies and clinical trials that used them. We then summarized characteristics of instruments with at least 1 published validation study and drew conclusions, based on this literature review, regarding the use of these instruments as outcome measures. The results are summarized in Tables VI and VII, and the recommendations are summarized in Tables I through III.
TABLE VI.
Summary of the characteristics of asthma control score instruments
| Instrument | Number of questions | Recall window | Questionnaire content | Physiologic measures | |||||
|---|---|---|---|---|---|---|---|---|---|
| Symptom frequency | Rescue therapy use | Sleep interference | Activity limitation | Exacerbations | Other | ||||
| ACCI | 5 | 1 week (2 weeks for sleep) | X | X | X | X | X | ||
| ACQ | 6 | 1 week | X | X | X | X | FEV1 | ||
| ACSS | 8 | 1 week | X | X | X | X | PEF or FEV1, sputum eosinophilia | ||
| ACT | 5 | 4 weeks | X | X | X | X | Self- rating of control | ||
| ATAQ | 4 (control dimension) | 4 weeks | X | X | X | Self- rating of control | |||
| Breathmobile | 7 | 4 weeks (3 items); 2 years (2 items); no specific window (2 items) | X | X | X | X | X | ||
| cACT | 7 | 4 weeks | X | X | X | Self- rating of control | |||
| CAN | 9 | 4 weeks | X | X | X | X | |||
| 30-Second | 5 | 1 week (3 items); 3 months (2 items) | X | X | X | X | |||
| Asthma Quiz | 6 | 1 week (4 items); 30 days (activity, exacerbations) | X | X | X | X | X | ||
| cATAQ | 7 (control dimension) | 4 weeks or 12 months | X | X | X | X | Parent rating of child’s control | ||
| FSAS | 6 | 12 months | X | X | X | X | |||
| LASS | 8 | 4 weeks | X | X | X | Parent rating of child’s control | |||
| PACT | 10 | 3 months | X | X | X | X | X | ||
| RCP | 3 | 1 week or 1 month | X | X | X | ||||
| SASCQ | 5 | 4 weeks | X | X | X | X | X | ||
| TRACK | 5 | 4 weeks (3 items); 3 months (rescue medication); 12 months (exacer- bations) | X | X | X | X | X | ||
30-Second, 30-Second Asthma Test; ACCI, Asthma Control and Communication Instrument; ACQ, Asthma Control Questionnaire; ACSS, Asthma Control Scoring System; ACT, Asthma Control Test; ATAQ, Asthma Therapy Assessment Questionnaire; Breathmobile, Breathmobile Assessment of Asthma Control; cACT, Childhood Asthma Control Test; CAN, Asthma Control in Children; cATAQ, ATAQ for Children and Adolescents; FEV1, forced expiratory volume in 1 second; FSAS, Functional Severity of Asthma Scale; LASS, Lara Asthma Symptom Scale; PACT, Pediatric Asthma Control Tool; PEF, peak expiratory flow; RCP, Royal College of Physicians “3 Questions”; SASCQ, Seattle Asthma Severity and Control Questionnaire; TRACK, Test for Respiratory and Asthma Control in Kids.
TABLE VII.
Characteristics of specific asthma control score instruments
| Instrument | Age (years) | Validity samples* | Reliability samples† | Responsiveness samples‡ MCID samples§ |
Modes evaluated** | Inclusion of diverse populations in validation studies | Use in studies†† | Comments |
|---|---|---|---|---|---|---|---|---|
| 30-Second | ≥19 | Cr: 1 Co: 1 P: 0 |
TR: 0 IC: 1 |
None | PPP | CT: 0 Ob: 0 |
Compared to ACT, full ACQ, and non-FEV1 ACQ: higher sensitivity, lower specificity, lower percentage correctly classified | |
| ACCI | ≥17 | Cr: 1 Co: 1 P: 0 |
TR: 0 IC: 1 |
None | PPP | 55% black in validation study | Ob: 1 | Validation for control domain |
| ACQ | ≥12 | Cr: 10 Co: 10 P: 1 |
TR: 5 IC: 7 |
Time: 8 TrCT: 18 TrNCT: 4 MCID: 2 (0.5 point) |
PPP, HPP, phone | Not validated for inner-city residents or Hispanics; 1 study with blacks | CT: 43 Ob: 14 |
ACQ without FEV1 correlates with full ACQ (extent of validation of non-FEV1 ACQ limited) |
| ACSS | ≥18 | Cr: 1 Co: 1 P: 0 |
Tr: 1 IC: 1 |
Time: 1 Tr: 0 MCID: 0 |
IP | CT: 0 Ob: 0 |
Validation only in 1 site, small sample | |
| ACT | ≥12 | Cr: 12 Co: 29 P: 2 |
TR: 6 IC: 11 |
Time: 4 TrCT: 3 TrNCT: 3 MCID: 4 (3 points) |
PPP, HPP, phone, Internet | Some validation studies included blacks (3–70%), Asians (2–4%), and Hispanics (1– 17%); 1 study in pregnant women | CT: 3 Ob: 34 |
|
| Asthma Quiz | 1–17 | Cr: 1 Co: 1 P: 0 |
TR: 1 IC: 1 |
Time: 1 Tr: 0 MCID: 0 |
Caregiver (aged 1–17 years), patient (aged 9–17 years), PPP | Black: 9% Other: 15% |
CT: 0 Ob: 0 |
|
| ATAQ | ≥18 (≥12 in 1 study) | Cr: 0 Co: 5 P: 1 |
TR: 0 IC: 0 |
None | PPP, HPP | CT: 0 Ob: 8 |
4 questions in control domain; construct validity primarily with healthcare utilization | |
| Breath-mobile | 2–14 | Cr: 1 Co: 0 P: 0 |
TR: 0 IC: 0 |
None | Caregiver, PPP | Black: 7% Hispanic: 85% Other: 6% |
CT: 0 Ob: 0 |
|
| cACT | 4–11 | Cr: 3 Co: 4 P: 1 |
TR: 1 IC: 2 |
Time: 2 TrCT: 2 |
Patient and caregiver, PPP | Black: 11% Hispanic: 6% Asian and Native American: 15% in US study; 100% Chinese in 2 studies |
CT: 2 Ob: 6 |
Optimal cutoff for uncontrolled asthma varied |
| CAN | 2–14 | Cr: 1 Co: 1 P: 0 |
TR: 0 IC: 1 |
Time: 1 Tr: 0 MCID: 1 |
Caregiver (aged 2–14 years), patient (aged 9–14 years), PPP | 100% Spanish population (study done in Spain) | CT: 0 Ob: 0 |
|
| cATAQ | 5–17 | Cr: 0 Co: 1 P: 1 |
TR: 0 IC: 1 |
None | Caregiver, HPP | Black: 29% Other: 10% |
CT: 0 Ob: 0 |
|
| FSAS | 3–17 | Cr: 0 Co: 1 P: 0 |
Tr: 0 IC: 1 |
None | Caregiver, HPP | Australian: 22% “Disadvantaged” | CT: 0 Ob: 1 |
|
| LASS | 3–17 (child) 18–64 (adult) |
Cr: 0 Co:1 child, 1 adult P: 1 (adult) |
TR: 0 IC: 1 child, 1 adult |
Time: 1 child, 1 adult Tr: 0 MCID: 1 (adult) (7 points) |
Caregiver (child), IP | English and Spanish versions, but insufficient number of Spanish-only to validate for them specifically; Adult: 20% Black: 45% Hispanic: 49% uninsured or disadvantaged |
CT: 0 Ob: 0 |
|
| PACT | 1–18 | Cr: 1 Co:1 P: 0 |
TR: 0 IC: 1 |
None | Caregiver (with input from child), PPP | Black: 32% Hispanic: 2% |
CT: 0 Ob: 0 |
|
| RCP | 6–15 19–71 |
Cr: 1 Co:1 P: 0 |
TR: 0 IC: 0 |
Time: 1 Tr: 0 MCID: 0 |
PPP | No information | CT: 0 Ob: 0 |
Feasibility study n = 15 children; n = 20 adults; cross-sectional validity only in adults; responsive- ness in adults and children |
| SASCQ | ≥12 | Cr: 1 Co: 1 P: 0 |
None | None | HPP | Nonwhite: 7.7% | None | |
| TRACK | 2–4 | Cr: 1 Co: 1 P: 0 |
TR: 0 IC: 1 |
None | Caregiver, PPP | Black: 11% Hispanic: 9% Other: 8% |
CT: 0 Ob: 0 |
30-Second, 30-Second Asthma Test; ACCI, Asthma Control and Communication Instrument; ACQ, Asthma Control Questionnaire; ACSS, Asthma Control Scoring System; ACT, Asthma Control Test; ATAQ, Asthma Therapy Assessment Questionnaire; Breathmobile, Breathmobile Assessment of Asthma Control; cACT, Childhood Asthma Control Test; CAN, Asthma Control in Children; cATAQ, ATAQ for Children and Adolescents; Cr, criterion validity; Co, content validity; CT, clinical trial; FEV1, forced expiratory volume in 1 second; FSAS, Functional Severity of Asthma Scale; HPP, at-home paper and pencil; IC, internal consistency reliability; IP, interviewer in person; LASS, Lara Asthma Symptom Scale; MCID, minimal clinically important difference; Ob, observational; P, predictive validity; PACT, Pediatric Asthma Control Tool; PPP, in-person, self-administered, paper and pencil; RCP, Royal College of Physicians “3 Questions”; SASCQ, Seattle Asthma Severity and Control Questionnaire; TR, test-retest reliability; TRACK, Test for Respiratory and Asthma Control in Kids; TrCT, treatment in clinical trial; TrNCT, treatment in non-clinical trial setting.
Number of independent samples in which indicated validity was demonstrated. See the “Validity” section of this article for definitions of criterion validity, construct validity, and predictive validity.
- Test-retest reliability:16 the consistency of the instrument results measured on 2 occasions with no change in asthma control in between. The measures of association between the 2 results are usually expressed as the Intraclass Correlation Coefficients (ICC) for continuous data or the Kappa coefficient (κ) for categorical results. Generally, test-retest reliability ICC or κ values of ≥0.70 are considered acceptable.20
Number of independent samples in which indicated responsiveness16 (the ability of the instrument to detect changes in asthma control over time or in response to treatment) was demonstrated.
Number of independent samples in which an MCID (the smallest difference in score on the instrument that represents a clinically significant change or difference) was defined.
Patient self-report unless otherwise indicated (eg, caregiver for children).
The number of studies indicated in this column also were identified by the literature search; these are studies in which the instrument was used as a validated measure of asthma control.
- Asthma Control and Communication Instrument (ACCI)21
- Breathmobile Assessment of Asthma Control (Breathmobile)31
- Asthma Control in Children (CAN)32
- Functional Severity of Asthma Scale (FSAS)33
- Pediatric Asthma Control Tool (PACT)35
- Asthma Quiz36
- Royal College of Physicians “3 Questions” (RCP)37
- Seattle Asthma Severity and Control Questionnaire (SASCQ)38
- Test for Respiratory and Asthma Control in Kids (TRACK)39
TABLE I.
Recommendations for classifying asthma control composite score outcome measures for NIH-initiated clinical research: adult and adolescent populations (≥12 years of age)
| Characterization of study population for prospective clinical trials (ie, baseline information) | Prospective clinical trial efficacy/effectiveness outcomes | Observational study outcomes* | |
|---|---|---|---|
| Core outcomes | Either ACQ or ACT | Either ACQ or ACT | Either ACQ or ACT |
| Supplemental outcomes | ATAQ in studies of healthcare utilization | None | ATAQ in studies of healthcare utilization |
| Emerging outcomes | Other adult instruments (Tables VI & VII) | Other adult instruments (Tables VI & VII) | Other adult instruments (Tables VI & VII) |
| Call for new instruments | Development of an instrument in the public domain | ||
ACQ, Asthma Control Questionnaire; ACT, Asthma Control Test; ATAQ, Asthma Therapy Assessment Questionnaire; NIH, National Institutes of Health.
Observational study designs include cohort, case control, cross sectional, retrospective reviews, and genome-wide association studies (GWAS), and secondary analysis of existing data. Some measures may not be available in studies using previously collected data.
TABLE III.
Recommendations for classifying asthma control composite score outcome measures for NIH-initiated clinical research: pediatric populations (≤4 years of age)
| Characterization of study population for prospective clinical trials (ie, baseline information) | Prospective clinical trial efficacy/effectiveness outcomes | Observational study outcomes* | |
|---|---|---|---|
| Core outcomes | None | None | None |
| Supplemental outcomes | None | None | None |
| Emerging outcomes | TRACK | TRACK | TRACK |
| Call for new instruments | Development of an instrument in the public domain | ||
NIH, National Institutes of Health; TRACK, Test for Respiratory and Asthma Control in Kids.
Observational study designs include cohort, case control, cross sectional, retrospective reviews, and genome-wide association studies (GWAS), and secondary analysis of existing data. Some measures may not be available in studies using previously collected data.
REVIEW OF ASTHMA CONTROL COMPOSITE SCORE INSTRUMENTS
Definitions and Methodology for Measurement
The ATS/ERS Statement divided its “Composite Measures of Asthma Control” section into composite measures expressed as (1) categorical variables in which a descriptive category of asthma control is measured (such as asthma control days/asthma-free days/episode-free days, “well-controlled” asthma weeks/“total control” weeks, or guideline-based categories including “well controlled,” “not well controlled,” or “poorly controlled” asthma), and (2) numeric variables in which several independent variables are scored numerically and a composite score of asthma control is derived. The ATS/ERS Statement indicates that limitations of the measures expressed as categorical variables include “empiric derivation, lack of standardization, and the limited information they provide on control in individual patients.” A recent study3 found that a composite measure expressed as a numeric variable (Asthma Control Questionnaire [ACQ]) “is more responsive to change in a clinical trial setting than a categorical scale.” We did not pursue composite measures expressed as categorical variables in the current review; instead we focused only on measures expressed as numeric variables, which we call asthma control composite score instruments.
We defined asthma control on the basis of the Guidelines for the Diagnosis and Management of Asthma (EPR-3) definition of patient-reported elements of impairment (symptom frequency, use of short-acting β-agonist [SABA] medication for quick relief, or “rescue,” sleep interference, and activity limitation) and risk (history of exacerbations in the prior 12 months), as well as objective measures of lung function in the impairment domain.4
The subcommittee defined asthma control composite score instruments as single questionnaires (with or without physiologic measures) designed to (1) measure the multidimensional construct of asthma control (which comprises more than just asthma symptoms and frequency of SABA use), and (2) produce a numeric score. Instruments could target adults, children, or both.
The ATS/ERS Statement reviewed 4 asthma control composite score instruments for adults: the Asthma Control Questionnaire (ACQ), the Asthma Control Test (ACT), the Asthma Therapy Assessment Questionnaire (ATAQ), and the Asthma Control Scoring System (ACSS).5–8 We reviewed newer studies using those instruments, as well as studies involving the use of 13 additional instruments for which at least 1 validation study was published in a peer-reviewed journal (Table VI). One instrument (Perceived Control of Asthma Questionnaire) had a validation study published but then retracted; we did not consider this instrument further. We regarded another instrument, the Asthma Control Diary (Juniper), as a daily version of the ACQ, rather than as an independent instrument.
All 17 asthma control composite score instruments have comparable content (Table VI). All instruments assess nocturnal symptoms or interference with sleep. All but 1 instrument capture symptom frequency, either of any asthma symptom or of specific symptoms (cough, wheeze, dyspnea), and most instruments also assess SABA use.
All but 1 instrument reflect some form of activity limitation, including interference with daily activities, exercise, and school or work attendance. Only 2 instruments (ACQ and ACSS) include pulmonary function parameters, and 1 instrument (ACSS) includes sputum eosinophilia.
Slightly more than half of the instruments assess exacerbations, but only the Test for Respiratory and Asthma Control in Kids (TRACK) assesses the “risk of exacerbations” domain, as recommended in the EPR-3 guidelines (number of exacerbations requiring oral corticosteroids in the prior 12 months). The most common recall windows for the instruments are 1 and 4 weeks, although windows as long as 2 years are included in some instruments. Several instruments have different windows for different questions. The instruments have not been validated to assess exacerbations, and they can only be considered to reflect status within their specific recall windows.
The above information leads to the following caveats when using the asthma control composite score instruments to assess asthma control on the basis of current guidelines.
Asthma control score instruments are meant to reflect chronic disease activity, usually over a 1- to 4-week period, and have not been validated for use during an asthma exacerbation.
Except for TRACK, currently available instruments assess only the impairment domain of asthma control and must be used in conjunction with assessments of asthma exacerbations requiring oral corticosteroids in the prior 12 months to be able to evaluate the EPR-3-defined risk domain of asthma control.
Except for the ACQ and ACSS, these instruments should be used in conjunction with pulmonary function tests to more fully assess the impairment domain of asthma control.
Medical and Scientific Value
Asthma control is a major goal of asthma therapy. Asthma control is now defined in terms of 2 domains—impairment and risk. Although nonstandardized/nonvalidated questions can be used to define asthma impairment and risk, questionnaire instruments with defined psychometric properties should provide more valid and reliable information. In addition, accurate and reliable assessment of asthma control in clinical trials requires the use of measures shown to be both responsive to change and stable when no clinically meaningful change has occurred.
Range of Values
Individual instruments contain 3 to 10 questions, and scoring varies by instrument. The ACQ score ranges from 1 to 7 and the ACT from 5 to 25. Most instruments provide discrete quantitative data, although they are often analyzed as continuous variables.
Four instruments have established cutoff values for uncontrolled versus controlled asthma: ACQ ≥1.5,9 ACT ≤19,6 ATAQ ≥1,10 and Childhood Asthma Control Test [cACT] ≤19 (US study).11 Two instruments also have defined cutoffs for the EPR-3 category of “very poorly controlled” asthma: ACT ≤1512 and ATAQ ≥3.10 These cutoffs have been defined in populations, generally on the basis of optimizing the balance between sensitivity and specificity, but may not always be accurate for individual patients. Distributions of scores for the various instruments vary by study population.
Repeatability
Test-test reliability, the consistency of the instrument results measured on 2 occasions with no change in asthma control in between, has been shown for 5 instruments in at least 1 sample (Table VII). Factors known to affect repeatability have not been identified for any of the instruments.
Responsiveness
Responsiveness over time (with no specifically prescribed therapeutic intervention) has been demonstrated for 8 instruments in at least 1 sample (Table VII), and responsiveness to specific therapy has been demonstrated for 3 instruments (Table VII). Minimal clinically important differences (MCIDs) have been defined for the ACQ (0.5 point),13 the ACT (3 points),14 and the Lara Asthma Symptom Scale (LASS) in adults (7 points).15
Asthma control score instruments that are clinically useful in individual patients may not be effective for measuring differences between populations in clinical trials, and vice versa. The ACQ has proven capable of distinguishing between treatment groups in clinical trials, even though its MCID has been derived from individual patients over time. Although the ACT has been used less than the ACQ in clinical trials to date, the MCID for the ACT has been defined both for individuals over time and for differences between populations.
Validity
Overall validity has been demonstrated in more independent study population samples for the ACT than for the other instruments (Table VII).
Content validity16 is the extent to which an instrument measures the concept of interest—in this case, asthma control. Content validity to demonstrate study participant understanding of the instruments has not been rigorously demonstrated for most asthma control composite score instruments. However, concordance of the content of these instruments (Table VI) with the EPR-3 guideline definition of control, described above (especially regarding impairment), supports the content validity of these instruments from the clinician perspective.
Criterion validity,16 the correlation of the instrument with some other measure of the specific construct of asthma control, such as another validated asthma control instrument or another “gold standard” for asthma control (eg, physician assessment), has been demonstrated in at least 1 study sample for 13 instruments, most often using physician assessments of asthma control or other validated instruments (Table VII).
Construct validity,16 relationships of the instrument to other variables and measures that are not identical to the construct of asthma control but to which the construct of asthma control should be related (includes relationships to various asthma patient characteristics, measures, and outcomes), has been demonstrated for 16 instruments in at least 1 study sample (Table VII). Constructs shown to be related to asthma control instruments include pulmonary function, asthma-specific and generic quality of life, exacerbations, and missed school or work. Construct validity may be labeled as convergent validity, discriminant validity, or known-groups validity in some publications.
Predictive validity,16 a measure of whether an instrument accurately predicts future outcomes of interest (using other measures), has been shown for 6 instruments for future exacerbations, future healthcare utilization, or future quality of life. Internal consistency reliability (as indicated by a Cronbach’s α >0.7) has been demonstrated for 13 instruments.
Associations
Associations with other outcome measures have been identified, as described above for construct validity. However, no specific predictive properties (sensitivity, specificity, positive predictive values) of the asthma control instruments for these outcomes have been defined. Poorer asthma control, as measured by these instruments, has been shown to be associated with risk factors such as older age (adults), lower socioeconomic status, smoking, obesity, gastroesophageal reflux disease, anxiety and/or depression, and lack of asthma specialist care.
Practicality and Risk
All asthma control composite score instruments are based on questionnaires that comprise 3 to 10 questions and that may entail some inconvenience but no risk. Two instruments (ACQ and ACSS) include forced expiratory volume in 1 second (FEV1), although exclusion of FEV1 did not change the measurement properties of the ACQ in 1 study.13 One instrument (ACSS) includes sputum eosinophilia, which requires specialized equipment and training to use and may entail some patient discomfort and risk of bronchospasm.
The asthma control score instruments recommended as core or supplemental outcomes are all copyrighted. Using these instruments in clinical research entails obtaining permission from the copyright holder and may involve some expense. The amount may depend on the specific type of study and the type of user institution; in some cases, the expense may preclude the use of the instrument.
It also should be noted that when these validated asthma control instruments are used in clinical research, they should not be changed from their original validated form in any way. Modified instruments cannot be assumed to be valid without additional validation data.
Demographic Considerations
The demographic issues of most interest are gender, age, and race/ethnicity. All the above-mentioned instruments have been studied with both females and males. In some studies, the instruments have shown reduced asthma control in females compared with males.
Some instruments have been developed for patients of all ages (LASS, Royal College of Physicians “3 Questions” [RCP]), but others have been developed and validated specifically for patients aged 0 to 4 years (TRACK), older children (Asthma Quiz, ATAQ for Children and Adolescents, Breathmobile Assessment of Asthma Control, Asthma Control in Children [CAN], Functional Severity of Asthma Scale [FSAS], cACT, Pediatric Asthma Control Tool [PACT]), patients aged 12 years and older (ACQ, ACT), or those aged 18 years and older (Asthma Control and Communication Instrument [ACCI], ACSS, ATAQ, Seattle Asthma Severity and Control Questionnaire [SASCQ], 30-Second Asthma Test).
Validation study samples in the United States have generally included mostly white patients, but also some black and Hispanic patients. The ACCI primary validation study was conducted in a racially diverse sample. Robust generalizability across racial/ethnic groups has not been demonstrated for any of the instruments, although several studies demonstrate poorer asthma control among nonwhite than among white participants. Several instruments have been translated into Spanish, but only 2 instruments (ACQ and ACT) have been validated in Spanish-speaking groups.
Priority for NIH-Initiated Clinical Research
Two asthma control composite score instruments (ACQ and ACT) have been designated as core measures for NIH-initiated clinical research in adults because of (1) the importance of asthma control as a goal of therapy; (2) extensive validation data for these instruments, using the widest range of criterion and construct measures and including demonstration of responsiveness to therapy and an MCID; and (3) low patient burden and risk. The ACQ has been used in the majority of clinical trials to date, and the ACT has the most published validation data to date. Both instruments have been validated for use as self-administered instruments in person, at home, or by telephone. Studies that have compared the ACQ and the ACT have found them to correlate strongly (r = −0.82 to −0.89) and perform similarly.12, 17–19 While numeric scores from the ACQ and the ACT cannot be used interchangeably or combined across studies, cross-study comparisons could be made using the proportion of study participants designated as “controlled” versus “uncontrolled” or the proportion who achieved a change greater than the MCID for each instrument (Table IV).
TABLE IV.
Methods for measuring and reporting core and supplemental outcomes for asthma control composite scores
| ACT | Measure by a 5-item self-administered questionnaire Report as
|
| cACT | Measure by a 7-item self-reported questionnaire: 4 items completed by child and 3 by parent
Percentage of study population with score indicating controlled (>19) or uncontrolled (≤19) asthma |
| ACQ | Measure by 7 items: 6 self-reported questionnaire and FEV1:
|
| ATAQ | Measure by 4 self-reported items
|
ACQ, Asthma Control Questionnaire; ACT, Asthma Control Test; ATAQ, Asthma Therapy Assessment Questionnaire; cACT, Childhood Asthma Control Test; FEV1, forced expiratory volume in 1 second; MCID, minimal clinically important difference.
Particular study designs may deem either the ACQ or the ACT preferable on the basis of the recall windows of the instruments (1 week for ACQ, 4 weeks for ACT). The availability of spirometry also could influence the decision, since the ACQ requires spirometry whereas the ACT does not.
The cACT has more validation data than other instruments for children aged 4 to 11 years and can be considered to have met the minimum standard as a core measure for participant characterization and observational studies. However, the cACT must be considered only supplemental for clinical trials until more responsiveness data and an MCID are presented. All other instruments reviewed here are considered emerging at this time, pending better data on their psychometric properties and more use in clinical studies.
When the ACQ or the ACT are used for the characterization of the study population, it would be desirable to use these instruments as close as possible to the time when phenotype/genotype information is collected.
TABLE II.
Recommendations for classifying asthma control composite score outcome measures for NIH-initiated clinical research: pediatric populations (5–11 years of age)
| Characterization of study population for prospective clinical trials (ie, baseline information) | Prospective clinical trial efficacy/effectiveness outcomes | Observational study outcomes* | |
|---|---|---|---|
| Core outcomes | cACT | None | cACT |
| Supplemental outcomes | None | cACT | None |
| Emerging outcomes | Other childhood instruments (Tables VI & VII) | Other childhood instruments (Tables VI & VII) | Other childhood instruments (Tables VI & VII) |
| Call for new instruments | Development of an instrument in the public domain | ||
cACT, Childhood Asthma Control Test; NIH, National Institutes of Health.
Observational study designs include cohort, case control, cross sectional, retrospective reviews, and genome-wide association studies (GWAS), and secondary analysis of existing data. Some measures may not be available in studies using previously collected data.
TABLE V.
Key points and recommendations
|
ACQ, Asthma Control Questionnaire; ACT, Asthma Control Test; cACT, Childhood Asthma Control Test; MCID, minimal clinically important difference.
Future Directions or Research Questions.
Identify core and supplemental asthma control score outcome measures for children younger than age 5.
Conduct studies to define the optimal way to incorporate the risk domain of asthma control within the asthma control score instruments.
Validate the instruments in population subgroups defined by age (eg, adolescents, older adults), race/ethnicity, socioeconomic status, health literacy, specific comorbidities (if any), asthma severity or phenotype, or treatment.
Obtain additional validation data for supplemental, emerging, and potential new instruments. Such studies should include the reasons for instrument development, qualitative assessments using cognitive interviewing to demonstrate patient understanding of the instruments, assessment of instrument utility in different populations, and head-to-head comparisons with other validated asthma control score instruments.
Conduct studies to define the value of including physiologic measures along with the questionnaires in asthma control score instruments, and determine the best physiologic measures to include.
Confirm or define 2 types of MCIDs for all instruments: First, MCID to document change in an individual over time, which could be used for clinical care or to identify a responder in a clinical trial; and second, MCID for differences between populations, which could be used to compare asthma control in 2 groups for research or quality improvement purposes.
Further demonstrate, for all instruments, their responsiveness over time and to therapy.
Determine the predictive properties (sensitivity, specificity, positive predictive value) of the instruments for other asthma outcomes, especially for future outcomes.
Quantitatively validate more instruments in more languages.
If the proprietary nature of currently recommended instruments prevents their widespread use in clinical research, develop and validate an asthma control score instrument that will reside in the public domain.
Acknowledgments
Funding:
The Asthma Outcomes workshop was funded by contributions from the National Institute of Allergy and Infectious Diseases, the National Heart, Lung, and Blood Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Environmental Health Sciences, and the Merck Childhood Asthma Network, as well as by a grant from the Robert Wood Johnson Foundation. Contributions from the National Heart, Lung, and Blood Institute, the National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Environmental Health Sciences, and the US Environmental Protection Agency funded the publication of this article and for all other articles in this supplement.
Abbreviations
- 30-Second
30-Second Asthma Test
- κ
Kappa coefficient
- ACCI
Asthma Control and Communication Instrument
- ACQ
Asthma Control Questionnaire
- ACSS
Asthma Control Scoring System
- ACT
Asthma Control Test
- ATAQ
Asthma Therapy Assessment Questionnaire
- ATS
American Thoracic Society
- Breathmobile
Breathmobile Assessment of Asthma Control
- cACT
Childhood Asthma Control Test
- CAN
Asthma Control in Children
- cATAQ
ATAQ for Children and Adolescents
- Co
Content validity
- Cr
Criterion validity
- CT
Clinical trial
- EPR-3
Guidelines for the Diagnosis and Management of Asthma
- ERS
European Respiratory Society
- FEV1
Forced expiratory volume in 1 second
- FSAS
Functional Severity of Asthma Scale
- HPP
At-home paper and pencil
- IC
Internal consistency reliability
- ICC
Intraclass Correlation Coefficients
- IP
Interviewer in person
- LASS
Lara Asthma Symptom Scale
- MCID
Minimal clinically important difference
- NIH
National Institutes of Health
- Ob
Observational
- P
Predictive validity
- PACT
Pediatric Asthma Control Tool
- PEF
Peak expiratory flow
- PPP
In-person, self-administered, paper and pencil
- RCP
Royal College of Physicians “3 Questions”
- SABA
Short-acting β-agonist
- SASCQ
Seattle Asthma Severity and Control Questionnaire
- TR
Test-retest reliability
- TRACK
Test for Respiratory and Asthma Control in Kids
- TrCT
Treatment in clinical trial
- TrNCT
Treatment in nonclinical trial setting
Footnotes
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Contributor Information
Michelle M. Cloutier, University of Connecticut.
Michael Schatz, Kaiser Permanente.
Mario Castro, Washington University in St Louis.
Noreen Clark, University of Michigan.
H.W. Kelly, University of New Mexico.
Rita Mangione-Smith, University of Washington.
James Sheller, Vanderbilt University.
Christine Sorkness, University of Wisconsin.
Stuart Stoloff, Independent Family Practice.
Peter Gergen, National Institute of Allergy and Infectious Diseases.
References
- 1.Mattke S, Martorell F, Sharma P, Malveaux F, Lurie N. Quality of care for childhood asthma: estimating impact and implications. Pediatrics. 2009;123(Suppl 3):S199–204. doi: 10.1542/peds.2008-2233K. Epub 2009/04/16. [DOI] [PubMed] [Google Scholar]
- 2.Reddel HK, Taylor DR, Bateman ED, Boulet LP, Boushey HA, Busse WW, et al. An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med. 2009;180(1):59–99. doi: 10.1164/rccm.200801-060ST. Epub 2009/06/19. [DOI] [PubMed] [Google Scholar]
- 3.O’Byrne PM, Reddel HK, Eriksson G, Ostlund O, Peterson S, Sears MR, et al. Measuring asthma control: a comparison of three classification systems. Eur Respir J. 2010;36(2):269–76. doi: 10.1183/09031936.00124009. Epub 2010/01/30. [DOI] [PubMed] [Google Scholar]
- 4.National Asthma Education and Prevention Program. Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma, Full Report 2007. Bethesda (MD): US Department of Health and Human Services, National Institutes of Health, National Heart, Lung, and Blood Institute; 2007. [Google Scholar]
- 5.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):902–7. doi: 10.1034/j.1399-3003.1999.14d29.x. Epub 1999/11/26. [DOI] [PubMed] [Google Scholar]
- 6.Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, et al. Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol. 2004;113(1):59–65. doi: 10.1016/j.jaci.2003.09.008. Epub 2004/01/10. [DOI] [PubMed] [Google Scholar]
- 7.Skinner EA, Diette GB, Algatt-Bergstrom PJ, Nguyen TT, Clark RD, Markson LE, et al. The Asthma Therapy Assessment Questionnaire (ATAQ) for children and adolescents. Dis Manag. 2004;7(4):305–13. doi: 10.1089/dis.2004.7.305. Epub 2005/01/27. [DOI] [PubMed] [Google Scholar]
- 8.LeBlanc A, Robichaud P, Lacasse Y, Boulet LP. Quantification of asthma control: validation of the Asthma Control Scoring System. Allergy. 2007;62(2):120–5. doi: 10.1111/j.1398-9995.2006.01194.x. Epub 2007/02/15. [DOI] [PubMed] [Google Scholar]
- 9.Juniper EF, Bousquet J, Abetz L, Bateman ED. Identifying ‘well-controlled’ and ‘not well-controlled’ asthma using the Asthma Control Questionnaire. Respir Med. 2006;100(4):616–21. doi: 10.1016/j.rmed.2005.08.012. Epub 2005/10/18. [DOI] [PubMed] [Google Scholar]
- 10.National Asthma Education and Prevention Program. Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma--Summary Report 2007. J Allergy Clin Immunol. 2007;120(5 Suppl):S94–138. doi: 10.1016/j.jaci.2007.09.043. Epub 2007/12/06. [DOI] [PubMed] [Google Scholar]
- 11.Liu AH, Zeiger R, Sorkness C, Mahr T, Ostrom N, Burgess S, et al. Development and cross-sectional validation of the Childhood Asthma Control Test. J Allergy Clin Immunol. 2007;119(4):817–25. doi: 10.1016/j.jaci.2006.12.662. Epub 2007/03/14. [DOI] [PubMed] [Google Scholar]
- 12.Schatz M, Sorkness CA, Li JT, Marcus P, Murray JJ, Nathan RA, et al. Asthma Control Test: reliability, validity, and responsiveness in patients not previously followed by asthma specialists. J Allergy Clin Immunol. 2006;117(3):549–56. doi: 10.1016/j.jaci.2006.01.011. Epub 2006/03/09. [DOI] [PubMed] [Google Scholar]
- 13.Juniper EF, Svensson K, Mork AC, Stahl E. Measurement properties and interpretation of three shortened versions of the asthma control questionnaire. Respir Med. 2005;99(5):553–8. doi: 10.1016/j.rmed.2004.10.008. Epub 2005/04/13. [DOI] [PubMed] [Google Scholar]
- 14.Schatz M, Kosinski M, Yarlas AS, Hanlon J, Watson ME, Jhingran P. The minimally important difference of the Asthma Control Test. J Allergy Clin Immunol. 2009;124(4):719–23e1. doi: 10.1016/j.jaci.2009.06.053. Epub 2009/09/22. [DOI] [PubMed] [Google Scholar]
- 15.Wood PR, Smith B, O’Donnell L, Galbreath AD, Lara M, Forkner E, et al. Quantifying asthma symptoms in adults: the Lara Asthma Symptom Scale. J Allergy Clin Immunol. 2007;120(6):1368–72. doi: 10.1016/j.jaci.2007.09.025. Epub 2007/11/06. [DOI] [PubMed] [Google Scholar]
- 16.Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. 2. New York: Oxford University Press; 1995. [Google Scholar]
- 17.Wallenstein GV, Carranza-Rosenzweig J, Kosinski M, Blaisdell-Gross B, Gajria K, Jhingran P. A psychometric comparison of three patient-based measures of asthma control. Curr Med Res Opin. 2007;23(2):369–77. doi: 10.1185/030079906X167426. Epub 2007/02/10. [DOI] [PubMed] [Google Scholar]
- 18.Zhou X, Ding F, Lin J, Yin K, Chen P, He Q, et al. Validity of Asthma Control Test in Chinese patients. Chin Med J. 2007;120(12):5. [PubMed] [Google Scholar]
- 19.Zhou X, Ding FM, Lin JT, Yin KS. Validity of asthma control test for asthma control assessment in Chinese primary care settings. Chest. 2009;135(4):904–10. doi: 10.1378/chest.08-0967. Epub 2009/01/02. [DOI] [PubMed] [Google Scholar]
- 20.Rosner B. Fundamentals of biostatistics. 4. Belmont (CA): Duxbury Press; 1995. [Google Scholar]
- 21.Patino CM, Okelo SO, Rand CS, Riekert KA, Krishnan JA, Thompson K, et al. The Asthma Control and Communication Instrument: a clinical tool developed for ethnically diverse populations. J Allergy Clin Immunol. 2008;122(5):936–43e6. doi: 10.1016/j.jaci.2008.08.027. Epub 2008/10/14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chen H, Gould MK, Blanc PD, Miller DP, Kamath TV, Lee JH, et al. Asthma control, severity, and quality of life: quantifying the effect of uncontrolled disease. J Allergy Clin Immunol. 2007;120(2):396–402. doi: 10.1016/j.jaci.2007.04.040. Epub 2007/06/15. [DOI] [PubMed] [Google Scholar]
- 23.Lee JH, Haselkorn T, Chipps BE, Miller DP, Wenzel SE. Gender differences in IgE-mediated allergic asthma in the epidemiology and natural history of asthma: Outcomes and Treatment Regimens (TENOR) study. J Asthma. 2006;43(3):179–84. doi: 10.1080/02770900600566405. Epub 2006/06/07. [DOI] [PubMed] [Google Scholar]
- 24.Mosen DM, Schatz M, Magid DJ, Camargo CA., Jr The relationship between obesity and asthma severity and control in adults. J Allergy Clin Immunol. 2008;122(3):507–11e6. doi: 10.1016/j.jaci.2008.06.024. Epub 2008/09/09. [DOI] [PubMed] [Google Scholar]
- 25.Peters D, Chen C, Markson LE, Allen-Ramey FC, Vollmer WM. Using an asthma control questionnaire and administrative data to predict health-care utilization. Chest. 2006;129(4):918–24. doi: 10.1378/chest.129.4.918. Epub 2006/04/13. [DOI] [PubMed] [Google Scholar]
- 26.Sullivan SD, Rasouliyan L, Russo PA, Kamath T, Chipps BE. Extent, patterns, and burden of uncontrolled disease in severe or difficult-to-treat asthma. Allergy. 2007;62(2):126–33. doi: 10.1111/j.1398-9995.2006.01254.x. Epub 2007/02/15. [DOI] [PubMed] [Google Scholar]
- 27.Schatz M, Mosen DM, Kosinski M, Vollmer WM, Magid DJ, O’Connor E, et al. The relationship between asthma-specific quality of life and asthma control. J Asthma. 2007;44(5):391–5. doi: 10.1080/02770900701364296. Epub 2007/07/07. [DOI] [PubMed] [Google Scholar]
- 28.Tan H, Sarawate C, Singer J, Elward K, Cohen RI, Smart BA, et al. Impact of asthma controller medications on clinical, economic, and patient-reported outcomes. Mayo Clin Proc. 2009;84(8):675–84. doi: 10.4065/84.8.675. Epub 2009/08/04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Vollmer WM, Markson LE, O’Connor E, Sanocki LL, Fitterman L, Berger M, et al. Association of asthma control with health care utilization and quality of life. Am J Respir Crit Care Med. 1999;160(5 Pt 1):1647–52. doi: 10.1164/ajrccm.160.5.9902098. Epub 1999/11/11. [DOI] [PubMed] [Google Scholar]
- 30.Vollmer WM, Markson LE, O’Connor E, Frazier EA, Berger M, Buist AS. Association of asthma control with health care utilization: a prospective evaluation. Am J Respir Crit Care Med. 2002;165(2):195–9. doi: 10.1164/ajrccm.165.2.2102127. Epub 2002/01/16. [DOI] [PubMed] [Google Scholar]
- 31.Kachru R, Morphew T, Kehl S, Clement LT, Hanley-Lopez J, Kwong KY, et al. Validation of a single survey that can be used for case identification and assessment of asthma control: the Breathmobile Program. Ann Allergy Asthma Immunol. 2006;97(6):775–83. doi: 10.1016/S1081-1206(10)60969-6. Epub 2007/01/05. [DOI] [PubMed] [Google Scholar]
- 32.Perez-Yarza EG, Badia X, Badiola C, Cobos N, Garde J, Ibero M, et al. Development and validation of a questionnaire to assess asthma control in pediatrics. Pediatr Pulmonol. 2009;44(1):54–63. doi: 10.1002/ppul.20929. Epub 2008/12/09. [DOI] [PubMed] [Google Scholar]
- 33.Rosier MJ, Bishop J, Nolan T, Robertson CF, Carlin JB, Phelan PD. Measurement of functional severity of asthma in children. Am J Respir Crit Care Med. 1994;149(6):1434–41. doi: 10.1164/ajrccm.149.6.8004295. Epub 1994/06/01. [DOI] [PubMed] [Google Scholar]
- 34.Lara M, Sherbourne C, Duan N, Morales L, Gergen P, Brook RH. An English and Spanish Pediatric Asthma Symptom Scale. Med Care. 2000;38(3):342–50. doi: 10.1097/00005650-200003000-00011. Epub 2000/03/16. [DOI] [PubMed] [Google Scholar]
- 35.Zorc JJ, Pawlowski NA, Allen JL, Bryant-Stephens T, Winston M, Angsuco C, et al. Development and validation of an instrument to measure asthma symptom control in children. J Asthma. 2006;43(10):753–8. doi: 10.1080/02770900601031615. Epub 2006/12/16. [DOI] [PubMed] [Google Scholar]
- 36.Ducharme FM, Davis GM, Noya F, Rich H, Ernst P. The Asthma Quiz for Kidz: a validated tool to appreciate the level of asthma control in children. Can Respir J. 2004;11(8):541–6. doi: 10.1155/2004/783740. Epub 2004/12/22. [DOI] [PubMed] [Google Scholar]
- 37.Thomas M, Gruffydd-Jones K, Stonham C, Ward S, Macfarlane TV. Assessing asthma control in routine clinical practice: use of the Royal College of Physicians ‘3 questions’. Prim Care Respir J. 2009;18(2):83–8. doi: 10.3132/pcrj.2008.00045. Epub 2008/08/14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hallstrand TS, Martin DP, Hummel JP, Williams BL, LoGerfo JP. Initial test of the seattle asthma severity and control questionnaire: a multidimensional assessment of asthma severity and control. Ann Allergy Asthma Immunol. 2009;103(3):225–32. doi: 10.1016/S1081-1206(10)60186-X. Epub 2009/10/01. [DOI] [PubMed] [Google Scholar]
- 39.Murphy KR, Zeiger RS, Kosinski M, Chipps B, Mellon M, Schatz M, et al. Test for respiratory and asthma control in kids (TRACK): a caregiver-completed questionnaire for preschool-aged children. J Allergy Clin Immunol. 2009;123(4):833–9e9. doi: 10.1016/j.jaci.2009.01.058. Epub 2009/04/08. [DOI] [PubMed] [Google Scholar]
- 40.Okelo SO, Wu AW, Krishnan JA, Rand CS, Skinner EA, Diette GB. Emotional quality-of-life and outcomes in adolescents with asthma. J Pediatr. 2004;145(4):523–9. doi: 10.1016/j.jpeds.2004.06.043. Epub 2004/10/14. [DOI] [PubMed] [Google Scholar]
- 41.Boulet LP, Boulet V, Milot J. How should we quantify asthma control? A proposal. Chest. 2002;122(6):2217–23. doi: 10.1378/chest.122.6.2217. Epub 2002/12/12. [DOI] [PubMed] [Google Scholar]
- 42.Chen HH, Wang JY, Jan RL, Liu YH, Liu LF. Reliability and validity of childhood asthma control test in a population of Chinese asthmatic children. Qual Life Res. 2008;17(4):585–93. doi: 10.1007/s11136-008-9335-4. Epub 2008/04/05. [DOI] [PubMed] [Google Scholar]
- 43.Leung TF, Ko FW, Sy HY, Wong E, Li CY, Yung E, et al. Identifying uncontrolled asthma in young children: clinical scores or objective variables? J Asthma. 2009;46(2):130–5. doi: 10.1080/02770900802468533. Epub 2009/03/03. [DOI] [PubMed] [Google Scholar]
- 44.Leung TF, Ko FW, Wong GW, Li CY, Yung E, Hui DS, et al. Predicting changes in clinical status of young asthmatics: clinical scores or objective parameters? Pediatr Pulmonol. 2009;44(5):442–9. doi: 10.1002/ppul.20977. Epub 2009/04/22. [DOI] [PubMed] [Google Scholar]
- 45.Schmier JK, Manjunath R, Halpern MT, Jones ML, Thompson K, Diette GB. The impact of inadequately controlled asthma in urban children on quality of life and productivity. Ann Allergy Asthma Immunol. 2007;98(3):245–51. doi: 10.1016/S1081-1206(10)60713-2. Epub 2007/03/24. [DOI] [PubMed] [Google Scholar]
- 46.Welch MJ, Carlson AM, Larson D, Fena P. Clinical profile, health-related quality of life, and asthma control in children attending US asthma camps. Ann Allergy Asthma Immunol. 2007;99(6):496–501. doi: 10.1016/S1081-1206(10)60377-8. Epub 2008/01/29. [DOI] [PubMed] [Google Scholar]
- 47.Ehrs PO, Nokela M, Stallberg B, Hjemdahl P, Wikstrom Jonsson E. Brief questionnaires for patient-reported outcomes in asthma: validation and usefulness in a primary care setting. Chest. 2006;129(4):925–32. doi: 10.1378/chest.129.4.925. Epub 2006/04/13. [DOI] [PubMed] [Google Scholar]
- 48.Juniper EF, O’Byrne PM, Ferrie PJ, King DR, Roberts JN. Measuring asthma control. Clinic questionnaire or daily diary? Am J Respir Crit Care Med. 2000;162(4 Pt 1):1330–4. doi: 10.1164/ajrccm.162.4.9912138. Epub 2000/10/13. [DOI] [PubMed] [Google Scholar]
- 49.Juniper EF, O’Byrne PM, Roberts JN. Measuring asthma control in group studies: do we need airway calibre and rescue beta2-agonist use? Respir Med. 2001;95(5):319–23. doi: 10.1053/rmed.2001.1034. Epub 2001/06/08. [DOI] [PubMed] [Google Scholar]
- 50.Leite M, Ponte EV, Petroni J, D’Oliveira A, Junior, Pizzichini E, Cruz AA. Evaluation of the asthma control questionnaire validated for use in Brazil. J Bras Pneumol. 2008;34(10):756–63. doi: 10.1590/s1806-37132008001000002. Epub 2008/11/15. [DOI] [PubMed] [Google Scholar]
- 51.Leuppi JD, Steurer-Stey C, Peter M, Chhajed PN, Wildhaber JH, Spertini F. Asthma control in Switzerland: a general practitioner based survey. Curr Med Res Opin. 2006;22(11):2159–66. doi: 10.1185/030079906X148454. Epub 2006/11/02. [DOI] [PubMed] [Google Scholar]
- 52.Picado C, Badiola C, Perulero N, Sastre J, Olaguibel JM, Lopez Vina A, et al. Validation of the Spanish version of the Asthma Control Questionnaire. Clin Ther. 2008;30(10):1918–31. doi: 10.1016/j.clinthera.2008.10.005. Epub 2008/11/19. [DOI] [PubMed] [Google Scholar]
- 53.Pinnock H, Juniper EF, Sheikh A. Concordance between supervised and postal administration of the Mini Asthma Quality of Life Questionnaire (MiniAQLQ) and Asthma Control Questionnaire (ACQ) was very high. J Clin Epidemiol. 2005;58(8):809–14. doi: 10.1016/j.jclinepi.2005.01.010. Epub 2005/07/16. [DOI] [PubMed] [Google Scholar]
- 54.van den Nieuwenhof L, Schermer T, Eysink P, Halet E, van Weel C, Bindels P, et al. Can the Asthma Control Questionnaire be used to differentiate between patients with controlled and uncontrolled asthma symptoms? A pilot study. Fam Pract. 2006;23(6):674–81. doi: 10.1093/fampra/cml041. Epub 2006/08/02. [DOI] [PubMed] [Google Scholar]
- 55.Braido F, Baiardini I, Ghiglione V, Fassio O, Bordo A, Cauglia S, et al. Sleep disturbances and asthma control: a real-life study. Asian Pac J Allergy Immunol. 2009;27(1):27–33. Epub 2009/06/25. [PubMed] [Google Scholar]
- 56.Braido F, Baiardini I, Balestracci S, Fassio O, Ravera S, Bellotti M, et al. The relationship between asthma control and quality-of-life impairment due to chronic cough: a real-life study. Ann Allergy Asthma Immunol. 2008;101(4):370–4. doi: 10.1016/S1081-1206(10)60312-2. Epub 2008/10/23. [DOI] [PubMed] [Google Scholar]
- 57.Braido F, Baiardini I, Balestracci S, Ghiglione V, Stagi E, Ridolo E, et al. Does asthma control correlate with quality of life related to upper and lower airways? A real-life study. Allergy. 2009;64(6):937–43. doi: 10.1111/j.1398-9995.2008.01932.x. Epub 2009/02/27. [DOI] [PubMed] [Google Scholar]
- 58.Di Marco F, Verga M, Santus P, Giovannelli F, Busatto P, Neri M, et al. Close correlation between anxiety, depression, and asthma control. Respir Med. 2010;104(1):22–8. doi: 10.1016/j.rmed.2009.08.005. Epub 2009/09/08. [DOI] [PubMed] [Google Scholar]
- 59.Fuhlbrigge A, Reed ML, Stempel DA, Ortega HO, Fanning K, Stanford RH. The status of asthma control in the US adult population. Allergy Asthma Proc. 2009;30(5):529–33. doi: 10.2500/aap.2009.30.3276. Epub 2009/09/15. [DOI] [PubMed] [Google Scholar]
- 60.Jones CA, Bender BG, Haselkorn T, Fish JE, Mink DR, Peters SP, et al. Predicting asthma control using patient attitudes toward medical care: the REACT score. Ann Allergy Asthma Immunol. 2009;102(5):385–92. doi: 10.1016/S1081-1206(10)60509-1. Epub 2009/06/06. [DOI] [PubMed] [Google Scholar]
- 61.Khalili B, Boggs PB, Shi R, Bahna SL. Discrepancy between clinical asthma control assessment tools and fractional exhaled nitric oxide. Ann Allergy Asthma Immunol. 2008;101(2):124–9. doi: 10.1016/S1081-1206(10)60199-8. Epub 2008/08/30. [DOI] [PubMed] [Google Scholar]
- 62.Ko FW, Leung TF, Hui DS, Chu HY, Wong GW, Wong E, et al. Asthma Control Test correlates well with the treatment decisions made by asthma specialists. Respirology. 2009;14(4):559–66. doi: 10.1111/j.1440-1843.2009.01514.x. Epub 2009/04/23. [DOI] [PubMed] [Google Scholar]
- 63.Kosinski M, Kite A, Yang M, Rosenzweig JC, Williams A. Comparability of the Asthma Control Test telephone interview administration format with self-administered mail-out mail-back format. Curr Med Res Opin. 2009;25(3):717–27. doi: 10.1185/03007990802711602. Epub 2009/02/07. [DOI] [PubMed] [Google Scholar]
- 64.Kwon HS, Lee SH, Yang MS, Lee SM, Kim SH, Kim DI, et al. Correlation between the Korean version of Asthma Control Test and health-related quality of life in adult asthmatics. J Korean Med Sci. 2008;23(4):621–7. doi: 10.3346/jkms.2008.23.4.621. Epub 2008/08/30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Lababidi H, Hijaoui A, Zarzour M. Validation of the Arabic version of the asthma control test. Ann Thorac Med. 2008;3(2):44–7. doi: 10.4103/1817-1737.39635. Epub 2008/04/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Laforest L, Van Ganse E, Devouassoux G, Bousquet J, Chretin S, Bauguil G, et al. Influence of patients’ characteristics and disease management on asthma control. J Allergy Clin Immunol. 2006;117(6):1404–10. doi: 10.1016/j.jaci.2006.03.007. Epub 2006/06/06. [DOI] [PubMed] [Google Scholar]
- 67.Laforest L, Van Ganse E, Devouassoux G, Chretin S, Osman L, Bauguil G, et al. Management of asthma in patients supervised by primary care physicians or by specialists. Eur Respir J. 2006;27(1):42–50. doi: 10.1183/09031936.06.00035805. Epub 2006/01/03. [DOI] [PubMed] [Google Scholar]
- 68.Laforest L, El Hasnaoui A, Pribil C, Ritleng C, Schwalm MS, Van Ganse E. Asthma patients’ perception of their ability to influence disease control and management. Ann Allergy Asthma Immunol. 2009;102(5):378–84. doi: 10.1016/S1081-1206(10)60508-X. Epub 2009/06/06. [DOI] [PubMed] [Google Scholar]
- 69.Lee EH, Kim SH, Choi JH, Jee YK, Nahm DH, Park HS. Development and evaluation of an Asthma-Specific Quality of Life (A-QOL) questionnaire. J Asthma. 2009;46(7):716–21. doi: 10.1080/02770900903067887. Epub 2009/09/04. [DOI] [PubMed] [Google Scholar]
- 70.Lenoir M, Williamson A, Stanford RH, Stempel DA. Assessment of asthma control in a general population of asthmatics. Curr Med Res Opin. 2006;22(1):17–22. doi: 10.1185/030079905X74925. Epub 2006/01/06. [DOI] [PubMed] [Google Scholar]
- 71.Lewandowska K, Specjalski K, Jassem E, Slominski JM. Style of coping with stress and emotional functioning in patients with asthma. Pneumonol Alergol Pol. 2009;77(1):31–6. Epub 2009/03/25. Styl radzenia sobie ze stresem a funkcjonowanie emocjonalne u chorych na astme. [PubMed] [Google Scholar]
- 72.Lim KG, Patel AM, Naessens JM, Li JT, Volcheck GW, Wagie AE, et al. Flunking asthma? When HEDIS takes the ACT. Am J Manag Care. 2008;14(8):487–94. Epub 2008/08/12. [PubMed] [Google Scholar]
- 73.Mihaicuta S, Ursoniu S, Dumitriu D, Frent S, Fira-Mladinescu O, Tudorache V. Smoking as a predictor for loosing control of treated bronchial asthma. Pneumologia. 2009;58(3):186–9. Epub 2009/10/13. [PubMed] [Google Scholar]
- 74.Miller DP, Tom G, Rasouliyan L, Chipps B. Patient-reported outcomes among omalizumab and salmeterol/fluticasone combination therapy patients. J Asthma. 2009;46(2):179–85. doi: 10.1080/02770900802604103. Epub 2009/03/03. [DOI] [PubMed] [Google Scholar]
- 75.Peters SP, Jones CA, Haselkorn T, Mink DR, Valacer DJ, Weiss ST. Real-world Evaluation of Asthma Control and Treatment (REACT): findings from a national Web-based survey. J Allergy Clin Immunol. 2007;119(6):1454–61. doi: 10.1016/j.jaci.2007.03.022. Epub 2007/05/08. [DOI] [PubMed] [Google Scholar]
- 76.Rodrigo GJ, Arcos JP, Nannini LJ, Neffen H, Broin MG, Contrera M, et al. Reliability and factor analysis of the Spanish version of the asthma control test. Ann Allergy Asthma Immunol. 2008;100(1):17–22. doi: 10.1016/S1081-1206(10)60399-7. Epub 2008/02/08. [DOI] [PubMed] [Google Scholar]
- 77.Schatz M, Mosen DM, Kosinski M, Vollmer WM, Magid DJ, O’Connor E, et al. Validity of the Asthma Control Test completed at home. Am J Manag Care. 2007;13(12):661–7. Epub 2007/12/12. [PubMed] [Google Scholar]
- 78.Schatz M, Zeiger RS, Drane A, Harden K, Cibildak A, Oosterman JE, et al. Reliability and predictive validity of the Asthma Control Test administered by telephone calls using speech recognition technology. J Allergy Clin Immunol. 2007;119(2):336–43. doi: 10.1016/j.jaci.2006.08.042. Epub 2006/12/30. [DOI] [PubMed] [Google Scholar]
- 79.Schatz M, Mosen DM, Kosinski M, Vollmer WM, Magid DJ, O’Connor E, et al. Predictors of asthma control in a random sample of asthmatic patients. J Asthma. 2007;44(4):341–5. doi: 10.1080/02770900701344421. Epub 2007/05/29. [DOI] [PubMed] [Google Scholar]
- 80.Senna G, Passalacqua G, Schiappoli M, Lombardi C, Wilcock L. Correlation among FEV, nitric oxide and asthma control test in newly diagnosed asthma. Allergy. 2007;62(2):207–8. doi: 10.1111/j.1398-9995.2006.01250.x. Epub 2007/02/15. [DOI] [PubMed] [Google Scholar]
- 81.Shirai T, Furuhashi K, Suda T, Chida K. Relationship of the asthma control test with pulmonary function and exhaled nitric oxide. Ann Allergy Asthma Immunol. 2008;101(6):608–13. doi: 10.1016/S1081-1206(10)60223-2. Epub 2009/01/06. [DOI] [PubMed] [Google Scholar]
- 82.Starobin D, Bargutin M, Rosenberg I, Yarmolovsky A, Levi T, Fink G. Asthma control and compliance in a cohort of adult asthmatics: first survey in Israel. Isr Med Assoc J. 2007;9(5):358–60. Epub 2007/06/27. [PubMed] [Google Scholar]
- 83.Tamasi L, Bohacs A, Bikov A, Andorka C, Rigo J, Jr, Losonczy G, et al. Exhaled nitric oxide in pregnant healthy and asthmatic women. J Asthma. 2009;46(8):786–91. doi: 10.1080/02770900903090004. Epub 2009/10/30. [DOI] [PubMed] [Google Scholar]
- 84.Vega JM, Badia X, Badiola C, Lopez-Vina A, Olaguibel JM, Picado C, et al. Validation of the Spanish version of the Asthma Control Test (ACT) J Asthma. 2007;44(10):867–72. doi: 10.1080/02770900701752615. Epub 2007/12/22. [DOI] [PubMed] [Google Scholar]
- 85.Williams SA, Wagner S, Kannan H, Bolge SC. The association between asthma control and health care utilization, work productivity loss and health-related quality of life. J Occup Environ Med. 2009;51(7):780–5. doi: 10.1097/JOM.0b013e3181abb019. Epub 2009/06/17. [DOI] [PubMed] [Google Scholar]
- 86.Ahmed S, Ernst P, Tamblyn R, Colman N. Validation of the 30 Second Asthma Test as a measure of asthma control. Can Respir J. 2007;14(2):105–9. doi: 10.1155/2007/340596. Epub 2007/03/21. [DOI] [PMC free article] [PubMed] [Google Scholar]
