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

ACCESS DATA

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

Similar Datasets

Project description:BackgroundSelf-management focused interventions to slow chronic kidney disease (CKD) progression are increasingly common. However, valid self-report instruments to evaluate the effectiveness of self-management interventions in CKD are limited.ObjectiveWe sought to develop and conduct preliminary psychometric testing of a patient-informed questionnaire to assess aspects of CKD self-management for patients with CKD categories G2-G5 (not on kidney replacement therapy [KRT]).DesignSelf-administered electronic questionnaires (multiphase).SettingOnline.SampleCanadian adults with CKD categories G2-G5 (not on KRT).MethodsThe CKD-SM questionnaire was developed and tested in 4 phases. First, we used a content coverage matrix to identify potential questionnaire items based on existing self-efficacy questionnaires, self-management theories, and patient-identified priorities. Second, the draft questionnaire was reviewed by a multidisciplinary expert panel using percent acceptance to finalize the questionnaire. Third, we tested an electronic version of the questionnaire with patients with CKD, evaluating preliminary psychometric properties including internal consistency, face validity, and content validity. Finally, we tested the questionnaire within a CKD self-management intervention study and collected data on internal consistency, test-retest reliability, and pre-post responsiveness.ResultsWe identified 22 potential questionnaire items for the first round of expert panel review. Thirteen items were retained in the first round. Eleven additional items were tested in the second review round and all were retained. Of the 24 items retained following expert review of the questionnaire, 21 had greater than 85% acceptance (content validity index [CVI], 0.75-1.00) and 3 items had 75% acceptance (CVI, 0.5). Thirty patients with CKD from across Canada participated in the pilot testing, and 29 patients participated in the CKD self-management intervention study. In the pilot test, several participants requested inclusion of a question that explicitly addressed mental health; consequently, an additional item relating to mental health was included prior to the intervention study (final questionnaire total was 25 items). Internal consistency (Cronbach α) was high for both the pilot (0.921) and intervention study (0.912). Preintervention test-retest reliability, measured with intraclass correlation coefficient, was acceptable (0.732, 95% confidence interval, 0.686-0.771, P < .001), and paired pre/postintervention comparison, measured with Wilcoxon sign-rank, demonstrated significant increases in self-management (P < .05) despite stable preintervention test-retest responses. Participants were satisfied with the content, wording, and design.LimitationsThe sample sizes were small for each component of the analysis, and the sampling was consecutive/convenience-based.ConclusionsWe used self-management theories, patient-identified self-management needs, expert review, and conducted preliminary psychometric testing to finalize a CKD self-management questionnaire for patients with G2-G5 CKD (not on KRT). The finalized questionnaire assesses aspects of self-management for individuals with CKD and may be particularly helpful as a tool to evaluate self-management interventions among patients with CKD.

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.

Project description:BackgroundPsychometrically sound measures of chronic disease self-management tasks are needed to improve identification of patient needs and to tailor self-management programs. This study aimed to develop and conduct a preliminary psychometric analysis of the CanSMART questionnaire among a diverse, multimorbid Canadian population.MethodsThe data were drawn from a cross-sectional online survey to examine self-management needs and support preferences. Participants were 306 Canadian adults with one or more physical and/or emotional chronic conditions. The questionnaire on frequency of self-management tasks was developed with substantial patient partner input. We conducted Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) of the 11 self-management tasks comprising the scale in two randomly selected subsamples, followed by Rasch analysis. Associations between patient characteristics and the self-management task subscales and individual items were explored.ResultsThe factor analyses identified two self-management task subscales that were labelled Coping tasks (6 items) and Physical tasks (3 items), with Cronbach's alpha of 0.70 and 0.67, respectively. Rasch analysis suggested that participants had difficulty discriminating between response options "mostly" and "always". In analyses of independent associations with patient characteristics, both Coping and Physical tasks were associated with reporting more than one chronic disease and employment disability. The Coping tasks subscale was associated with female sex. Two items, on medication use and monitoring biological parameters, did not load on either scale. Both were associated with specific diagnoses.ConclusionsIn this preliminary analysis, two self-management tasks subscales exhibit good psychometric properties. Two items that did not load on either scale may represent additional dimensions of self-management. This work provides the basis for further scale development and use in research and clinical practice.

Project description:BACKGROUND:Uncontrolled asthma poses substantial negative personal and health system impacts. Web-based technologies, including smartphones, are novel means to enable evidence-based care and improve patient outcomes. OBJECTIVE:The aim of this study was to design, develop, and assess the utilization of an asthma collaborative self-management (CSM) platform (breathe) using content based on international evidence-based clinical guidelines. METHODS:We designed and developed breathe as a Web-based mobile health (mHealth) platform accessible on smartphones, tablets, or desktop with user-centered design methods and International Organization for Standardization-certified quality development processes. Moreover, breathe was envisioned as a multifunctional, CSM mHealth platform, with content based on international clinical practice guidelines and compliant with national privacy and security specifications. The system enabled CSM (patient, provider, and breathe) and self-monitoring of asthma patients through (1) assessment of asthma control, (2) real-time access to a dynamic asthma action plan, (3) access to real-time environmental conditions, and (4) risk-reduction messaging. The data collection protocol collected user data for 12 months, with clinic visits at baseline and 6 and 12 months. Utilization outcomes included user interactions with the platform, user impressions, self-reported medication use, asthma symptom profile, reported peak flow measurement, and the delivery and impact of email reminders. RESULTS:We enrolled 138 patients with a mean age of 45.3 years to receive the breathe intervention. Majority were female (100/138, 72.5%), had a smartphone (92/138, 66.7%), and had a mean Asthma Control Test score of 18.3 (SD 4.9). A majority reported that breathe helped in the management of their asthma. Moreover, breathe scored 71.1 (SD 18.9) on the System Usability Scale. Overall, 123 patients had complete usage analytics datasets. The platform sent 7.96 reminder emails per patient per week (pppw), patients accessed breathe 3.08 times, journaled symptoms 2.56 times, reported medication usage 0.30 times, and reported peak flow measurements 0.92 times pppw. Furthermore, breathe calculated patients' action plan zone of control 2.72 times pppw, with patients being in the green (well-controlled) zone in 47.71% (8300/17,396) of the total calculations. Usage analysis showed that 67.5% (83/123) of the participants used the app at week 4 and only 57.7% (71/123) by week 45. Physician visits, email reminders, and aged 50 years and above were associated with higher utilization. CONCLUSIONS:Individuals with asthma reported good usability and high satisfaction levels, reacted to breathe notifications, and had confidence in the platform's assessment of asthma control. Strong utilization was seen at the intervention's initiation, followed by a rapid reduction in use. Patient reminders, physician visits, and being aged 50 years and above were associated with higher utilization. TRIAL REGISTRATION:ClinicalTrials.gov NCT01964469; https://clinicaltrials.gov/ct2/show/NCT01964469.

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.

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

OmicsDI is part of the ELIXIR infrastructure

Tweets