Dataset Information

Development and testing of the Asthma Self-Management Questionnaire.

ABSTRACT:

Background

Assessing self-management knowledge can guide physicians in teaching patients necessary skills.

Objective

To develop and test the Asthma Self-Management Questionnaire (ASMQ).

Methods

The ASMQ was developed from patient interviews. Validity was evaluated by comparison with the established Knowledge, Attitude, and Self-Efficacy Asthma Questionnaire, and test-retest reliability was evaluated with repeated administration (mean, 5 days apart) in 25 patients (mean age, 41 years; 96% women). The ASMQ was further described in additional patients by comparison with cross-sectional self-management practices and longitudinal change in Asthma Quality of Life Questionnaire scores.

Results

The 16-item, multiple-choice ASMQ measures knowledge of preventive strategies, inhaler use, and medications and generates a score of 0 to 100, with higher scores indicating more correct responses. The ASMQ was correlated with the Knowledge, Attitude, and Self-Efficacy Questionnaire (r = 0.58) and had a Cronbach alpha of 0.71. The correlation between administrations was 0.78, and the intraclass correlation coefficient was 0.58. When given to another 231 patients (mean age, 41 years; 74% women), the mean (SD) ASMQ score was 60 (20). Patients with better ASMQ scores were more likely to own peak flow meters (P = .04) and to have received flu vaccines (P = .03). For 12 months, these patients received self-management information through workbooks and telephone reinforcement. Patients with higher ASMQ scores after 12 months were more likely to have clinically important improvements in quality of life compared with patients with lower ASMQ scores (65% vs 46%; P = .01).

Conclusions

The ASMQ is valid and reliable and is associated with clinical markers of effective self-management and better asthma outcomes.

SUBMITTER: Mancuso CA

PROVIDER: S-EPMC2702201 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

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Publications

Development and testing of the Asthma Self-Management Questionnaire.

Mancuso Carol A CA Sayles Wendy W Allegrante John P JP

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology 20090401 4

<h4>Background</h4>Assessing self-management knowledge can guide physicians in teaching patients necessary skills.<h4>Objective</h4>To develop and test the Asthma Self-Management Questionnaire (ASMQ).<h4>Methods</h4>The ASMQ was developed from patient interviews. Validity was evaluated by comparison with the established Knowledge, Attitude, and Self-Efficacy Asthma Questionnaire, and test-retest reliability was evaluated with repeated administration (mean, 5 days apart) in 25 patients (mean age, ...[more]

PMID: 19441600

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Project description:Introduction: Suboptimal self-management of inhaled corticosteroids (ICS) in asthma patients is frequently observed in clinical practice and associated with poor asthma control. Driving factors for suboptimal self-management are complex and consist of a range of behavioral barriers (cognitive, affective and practical) with a considerable inter-individual variability. Identification of individual barriers facilitates the use of corresponding behavior change techniques and tailored care to improve asthma treatment outcomes. Objective: This study describes the development and validation of the 'Respiratory Adherence Care Enhancer' (RACE) questionnaire to identify individual barriers to self-management of ICS therapy in asthma patients. Methods: The development included: 1) an inventory of self-management barriers based on a literature review, 2) expert assessment on relevance and completeness of this set, linking these barriers to behavioral domains of the Theoretical Domains Framework (TDF) and 3) the formulation of corresponding questions assessing each of the barriers. A cross-sectional study was performed for validation. Primary care asthma patients were invited to fill out the RACE-questionnaire prior to a semi-structured telephonic interview as golden standard. Barriers detected from the questionnaire were compared to those mentioned in the interview. Results: The developed questionnaire is made up of 6 TDF-domains, covering 10 self-management barriers with 23 questions. For the validation 64 patients completed the questionnaire, of whom 61 patients were interviewed. Cronbach's alpha for the consistency of questions within the barriers ranged from 0.58 to 0.90. Optimal cut-off values for the presence of barriers were determined at a specificity between 67 and 92% with a sensitivity between 41 and 83%. Significant Areas Under the Receiver Operating Curves values were observed for 9 barriers with values between 0.69 and 0.86 (p-value <0.05), except for 'Knowledge of ICS medication' with an insignificant value of 0.53. Conclusion: The RACE-questionnaire yields adequate psychometric characteristics to identify individual barriers to self-management of ICS therapy in asthma patients, facilitating tailored care.

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Project description:BackgroundWorking with eHealth requires health care organizations to make structural changes in the way they work. Organizational structure and process must be adjusted to provide high-quality care. This study is a follow-up study of a systematic literature review on optimally organizing hybrid health care (eHealth and face to face) using the Donabedian Structure-Process-Outcome (SPO) framework to translate the findings into a modus operandi for health care organizations.ObjectiveThis study aimed to develop an SPO-based quality assessment model for organizing hybrid health care using an accompanying self-assessment questionnaire. Health care organizations can use this model and a questionnaire to manage and improve their hybrid health care.MethodsConcept mapping was used to enrich and validate evidence-based knowledge from a literature review using practice-based knowledge from experts. First, brainstorming was conducted. The participants listed all the factors that contributed to the effective organization of hybrid health care and the associated outcomes. Data from the brainstorming phase were combined with data from the literature study, and duplicates were removed. Next, the participants rated the factors on importance and measurability and grouped them into clusters. Finally, using multivariate statistical analysis (multidimensional scaling and hierarchical cluster analysis) and group interpretation, an SPO-based quality management model and an accompanying questionnaire were constructed.ResultsAll participants (n=39) were familiar with eHealth and were health care professionals, managers, researchers, patients, or eHealth suppliers. The brainstorming and literature review resulted in a list of 314 factors. After removing the duplicates, 78 factors remained. Using multivariate statistical analyses and group interpretations, a quality management model and questionnaire incorporating 8 clusters and 33 factors were developed. The 8 clusters included the following: Vision, strategy, and organization; Quality information technology infrastructure and systems; Quality eHealth application; Providing support to health care professionals; Skills, knowledge, and attitude of health care professionals; Attentiveness to the patient; Patient outcomes; and Learning system. The SPO categories were positioned as overarching themes to emphasize the interrelations between the clusters. Finally, a proposal was made to use the self-assessment questionnaire in practice, allowing measurement of the quality of each factor.ConclusionsThe quality of hybrid care is determined by organizational, technological, process, and personal factors. The 33 most important factors were clustered in a quality management model and self-assessment questionnaire called the Hybrid Health Care Quality Assessment. The model visualizes the interrelations between the factors. Using a questionnaire, each factor can be assessed to determine how effectively it is organized and developed over time. Health care organizations can use the Hybrid Health Care Quality Assessment to identify improvement opportunities for solid and sustainable hybrid health care.

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Dataset Information

Development and testing of the Asthma Self-Management Questionnaire.

Background

Objective

Methods

Results

Conclusions

Publications

Development and testing of the Asthma Self-Management Questionnaire.

Similar Datasets

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