A Pilot Study of the Effect of an Educational Web Application on Asthma Control and Medication Adherence

Clinical Impact of Electronic Monitoring Devices of Inhalers in Adults with Asthma or COPD: A Systematic Review and Meta-Analysis

We conducted a systematic review and meta-analysis to gain insight into the characteristics and clinical impact of electronic monitoring devices of inhalers (EMDs) and their clinical interventions in adult patients with asthma or COPD. The search included PubMed, Web of Science, Cochrane, Scopus and Embase databases, as well as official EMDs websites. We found eight observational studies and ten clinical trials, assessing a wide range of clinical outcomes. Results from the meta-analysis on adherence to inhalers in a period over three months were favourable in the EMD group (fixed effects model: SMD: 0.36 [0.25–0.48]; random effects model SMD: 0.41 [0.22–0.60]). An exploratory meta-analysis found an improvement in ACT score (fixed effect model SMD: 0.25 [0.11–0.39]; random effects model: SMD: 0.47 [−0.14–1.08]). Other clinical outcomes showed mixed results in the descriptive analyses. The findings of this review highlight the benefits of EMDs in the optimization of adherence to inhaled therapy as well as the potential interest in other clinical outcomes.

Acceptance and Dropout Rates of Individuals with Asthma Approached in Self-management Interventions: A Systematic Review and Meta-analysis

Objective

The objectives of this systematic review were to assess the acceptability of self-management interventions for people with asthma and identify contributing factors.

Methods

A systematic literature search was conducted using PubMed, MEDLINE, EMBASE (OVIDWEB), CINAHL and Cochrane databases. Clinical trials design was included if they met specified criteria. A random-effect meta-regression analysis was conducted to estimate the overall acceptance and drop-out rates and to assess the potential factors that may influence the outcomes.

Results

A total of 64 studies were included and 8,092 participants were recruited and participated in the trials. The estimated acceptance rate was 51.1%, while the estimated drop-out rates in the intervention and control groups were 18.2% and 15.6%, respectively. Lack of interest was the main reported reason for refusing to participate and dropping out from the program. Study-related and program-related factors influenced the acceptance and drop-out rates statistically and clinically.

Conclusion

The acceptance rate of self-management programs among asthmatic people was not high and the dropout rate was somewhat low. The review suggests optimizing the design of self-management studies and modifying the implemented self-management programs to increase the acceptance rate and decrease the dropout rate.

Electronic Inhaler Monitoring for Chronic Airway Disease: Development and Application of a Multidimensional Efficacy Framework

Inhaled therapy is the cornerstone of chronic airway disease therapy, but poor adherence to controller inhalers worsens clinical outcomes and increases cost. Monitoring of controller use is needed to improve adherence, and monitoring of reliever use can predict impending exacerbations. Both can be accurately achieved by electronic inhaler monitoring (EIM). However, evidence for EIM use in clinical practice is limited and varied, and knowledge gaps remain across different outcomes and health settings. We aimed to develop a framework to assess EIM systematically across all aspects of efficacy, apply this framework to the current literature, and identify gaps in efficacy to inform future development in the field. We adapted an existing framework for diagnostic tests, consisting of six levels of efficacy with ascending clinical relevance: technical, diagnostic accuracy, diagnostic thinking, therapeutic, patient outcome, and societal efficacy. Tailoring this framework to EIM, we incorporated expert feedback and applied it to the EIM efficacy literature. We found that EIM has good diagnostic accuracy, diagnostic thinking, and therapeutic efficacies, but evidence is lacking for specific aspects of technical, patient outcome, and societal efficacies. Further development of EIM requires improved reliability, usability, and data security for patients, and optimal integration with electronic medical records and overall patient care. Defining appropriate target patient groups and pairing EIM data with effective interventions, in conjunction with reducing costs through technological innovation and economies of scale, will enhance patient and societal outcome efficacies.

The Effect of a Theory of Planned Behavior Education Program on Asthma Control and Medication Adherence: A Randomized Controlled Trial

BACKGROUND

Disease management in individuals with asthma is affected by factors such as avoiding triggers that cause attacks and properly using inhaler devices.

OBJECTIVE

To determine the effect of a theory of planned behavior (TPB) education program on asthma control and medication adherence.

METHODS

A randomized controlled trial enrolled 30 participants in the intervention group and 30 in the control group. The educational approach was employed in participants in the intervention group for five home visits over 3 months according to the TPB program.

RESULTS

Before the education program, all participants in the intervention group and 90% of those in the control group had poorly controlled asthma (P > .05). After the program, all individuals in the intervention group and 20% of the control group had well-controlled asthma (P < .001). There was no statistically significant difference between Morisky Medication Adherence Scale-8 pretest scores in the intervention and control groups in terms of medication adherence (2.37 ± 1.75 and 3.13 ± 1.71, respectively; P > .05). Mean Morisky Medication Adherence Scale-8 scores in the intervention group at posttest (7.50 ± 0.78) were significantly higher than those of the control group (3.93 ± 2.03; P < .001.

CONCLUSIONS

This study revealed that asthma control and medication adherence increased in the intervention group after the TPB education program. The program was effective in asthma control and medication adherence for individuals with asthma.

Digital Health Technology in Asthma: A Comprehensive Scoping Review

BACKGROUND

A variety of digital intervention approaches have been investigated for asthma therapy during the past decade, with different levels of interactivity and personalization and a range of impacts on different outcome measurements.

OBJECTIVE

To assess the effectiveness of digital interventions in asthma with regard to acceptability and outcomes and evaluate the potential of digital initiatives for monitoring or treating patients with asthma.

METHODS

We evaluated digital interventions using a scoping review methodology through a literature search and review. Of 871 articles identified, 121 were evaluated to explore intervention characteristics, the perception and acceptability of digital interventions to patients and physicians, and effects on asthma outcomes. Interventions were categorized by their level of interactivity with the patient.

RESULTS

Interventions featuring non-individualized content sent to patients appeared capable of promoting improved adherence to inhaled corticosteroids, but with no identified improvement in asthma burden; and data-gathering interventions appeared to have little effect on adherence or asthma burden. Evidence of improvement in both adherence and patients' impairment due to asthma were seen only with interactive interventions involving two-way responsive patient communication. Digital interventions were generally positively perceived by patients and physicians. Implementation was considered feasible, with certain preferences for design and features important to drive use.

CONCLUSIONS

Digital health interventions show substantial promise for asthma disease monitoring and personalization of treatment. To be successful, future interventions will need to include both inhaler device and software elements, combining accurate measurement of clinical parameters with careful consideration of ease of use, personalization, and patient engagement aspects.

New Concepts and Technological Resources in Patient Education and Asthma Self-Management

Asthma is a chronic disease that is associated with significant morbidity and mortality. In general, the use of technology resources or electronic health (e-health) has been shown to have beneficial effects on patients with asthma. E-health can impact a broad section of patients and can be cost-effective and associated with high patient satisfaction. E-health may enable remote delivery of care, as well as timely access to health care, which are some of the common challenges faced by patients with asthma. Web-based asthma self-management systems have been found to improve quality of life, self-reported asthma symptoms, lung function, reduction in asthma symptoms/exacerbations, and self-reported adherence for adults. Social media is commonly being used as a platform to disseminate information on asthma to increase public awareness. It can facilitate asthma self-management in a patient friendly manner and has shown to improve asthma control test scores as well as self-esteem. Text massages reminders can increase awareness regarding asthma treatment and control, thus potentially can improve adherence to medications and asthma outcome. Mobile health applications can support asthma self-management, improve a patient's quality of life, promote medication adherence, and potentially reduce the overall costs for asthma care. Inhaler trackers have shown to be beneficial to asthma outcome in various populations by improving adherence to asthma medications. Barriers such as physician financial reimbursement as well as licensing for rendering tele-healthcare services are important concerns. Other limitations of using technology resources in health care are related to liability, professionalism, and ethical issues such as breach of patient confidentiality and privacy. Additionally, there may be less face-to-face interaction and care of the patient when e-health is used.

A data-driven typology of asthma medication adherence using cluster analysis

Asthma preventer medication non-adherence is strongly associated with poor asthma control. One-dimensional measures of adherence may ignore clinically important patterns of medication-taking behavior. We sought to construct a data-driven multi-dimensional typology of medication non-adherence in children with asthma. We analyzed data from an intervention study of electronic inhaler monitoring devices, comprising 211 patients yielding 35,161 person-days of data. Five adherence measures were extracted: the percentage of doses taken, the percentage of days on which zero doses were taken, the percentage of days on which both doses were taken, the number of treatment intermissions per 100 study days, and the duration of treatment intermissions per 100 study days. We applied principal component analysis on the measures and subsequently applied k-means to determine cluster membership. Decision trees identified the measure that could predict cluster assignment with the highest accuracy, increasing interpretability and increasing clinical utility. We demonstrate the use of adherence measures towards a three-group categorization of medication non-adherence, which succinctly describes the diversity of patient medication taking patterns in asthma. The percentage of prescribed doses taken during the study contributed to the prediction of cluster assignment most accurately (84% in out-of-sample data).