Improving Asthma Outcomes in the Digital Era: A Systematic Review

Use of web and mobile device technologies in the management of childhood asthma: a systematic review and meta-analysis

OBJECTIVE

The objective of this review is to assess the use of support tools for children with asthma, based on web and mobile device technologies, and their impact on asthma control.

METHOD

This is a systematic review conducted in accordance with the PRISMA guidelines and the Joanna Briggs Institute (JBI) Manual. The research question defined by the PICO strategy was: ''What are the effects of web-based and mobile device support tools on asthma control in children?'' The search was conducted in the Medline (via PubMed), SciELO, and Embase databases between October and December 2023, with completion in July 2024.

RESULTS

The systematic review analyzed 388 articles and selected 4 studies on technologies for managing asthma in children. The studies showed that mobile apps and electronic monitoring improve asthma control, treatment adherence, and caregivers' quality of life. The meta-analysis showed a mean increase in Asthma Control Test (ACT) scores of 2.73 (95 % CI: 1.95, 3.51) with P < 0.0001, indicating a significant improvement in asthma control scores, highlighting the effectiveness of these technologies.

CONCLUSIONS

This study demonstrates that digital tools, such as web technologies and mobile devices, can significantly improve the management of childhood asthma, as reflected by an increase in Asthma Control Test (ACT) scores. Despite limitations, the findings are promising. Future research is needed to strengthen the evidence and guide clinical practice in pediatric asthma management.

Digital interventions to improve adherence to maintenance medication in asthma

BACKGROUND

Asthma is the most common chronic lung condition worldwide, affecting 334 million adults and children globally. Despite the availability of effective treatment, such as inhaled corticosteroids (ICS), adherence to maintenance medication remains suboptimal. Poor ICS adherence leads to increased asthma symptoms, exacerbations, hospitalisations, and healthcare utilisation. Importantly, suboptimal use of asthma medication is a key contributor to asthma deaths. The impact of digital interventions on adherence and asthma outcomes is unknown.

OBJECTIVES

To determine the effectiveness of digital interventions for improving adherence to maintenance treatments in asthma.

SEARCH METHODS

We identified trials from the Cochrane Airways Trials Register, which contains studies identified through multiple electronic searches and handsearches of other sources. We also searched trial registries and reference lists of primary studies. We conducted the most recent searches on 1 June 2020, with no restrictions on language of publication. A further search was run in October 2021, but studies were not fully incorporated.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) including cluster- and quasi-randomised trials of any duration in any setting, comparing a digital adherence intervention with a non-digital adherence intervention or usual care. We included adults and children with a clinical diagnosis of asthma, receiving maintenance treatment.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures for data collection. We used GRADE to assess quantitative outcomes where data were available.

MAIN RESULTS

We included 40 parallel randomised controlled trials (RCTs) involving adults and children with asthma (n = 15,207), of which eight are ongoing studies. Of the included studies, 30 contributed data to at least one meta-analysis. The total number of participants ranged from 18 to 8517 (median 339). Intervention length ranged from two to 104 weeks. Most studies (n = 29) reported adherence to maintenance medication as their primary outcome; other outcomes such as asthma control and quality of life were also commonly reported. Studies had low or unclear risk of selection bias but high risk of performance and detection biases due to inability to blind the participants, personnel, or outcome assessors. A quarter of the studies had high risk of attrition bias and selective outcome reporting. We examined the effect of digital interventions using meta-analysis for the following outcomes: adherence (16 studies); asthma control (16 studies); asthma exacerbations (six studies); unscheduled healthcare utilisation (four studies); lung function (seven studies); and quality of life (10 studies). Pooled results showed that patients receiving digital interventions may have increased adherence (mean difference of 14.66 percentage points, 95% confidence interval (CI) 7.74 to 21.57; low-certainty evidence); this is likely to be clinically significant in those with poor baseline medication adherence. Subgroup analysis by type of intervention was significant (P = 0.001), with better adherence shown with electronic monitoring devices (EMDs) (23 percentage points over control, 95% CI 10.84 to 34.16; seven studies), and with short message services (SMS) (12 percentage points over control, 95% CI 6.22 to 18.03; four studies). No significant subgroup differences were seen for interventions having an in-person component versus fully digital interventions, adherence feedback, one or multiple digital components to the intervention, or participant age. Digital interventions were likely to improve asthma control (standardised mean difference (SMD) 0.31 higher, 95% CI 0.17 to 0.44; moderate-certainty evidence) - a small but likely clinically significant effect. They may reduce asthma exacerbations (risk ratio 0.53, 95% CI 0.32 to 0.91; low-certainty evidence). Digital interventions may result in a slight change in unscheduled healthcare utilisation, although some studies reported no or a worsened effect. School or work absence data could not be included for meta-analysis due to the heterogeneity in reporting and the low number of studies. They may result in little or no difference in lung function (forced expiratory volume in one second (FEV1)): there was an improvement of 3.58% predicted FEV1, 95% CI 1.00% to 6.17%; moderate-certainty evidence); however, this is unlikely to be clinically significant as the FEV1 change is below 12%. Digital interventions likely increase quality of life (SMD 0.26 higher, 95% CI 0.07 to 0.45; moderate-certainty evidence); however, this is a small effect that may not be clinically significant. Acceptability data showed positive attitudes towards digital interventions. There were no data on cost-effectiveness or adverse events. Our confidence in the evidence was reduced by risk of bias and inconsistency.

AUTHORS' CONCLUSIONS

Overall, digital interventions may result in a large increase in adherence (low-certainty evidence). There is moderate-certainty evidence that digital adherence interventions likely improve asthma control to a degree that is clinically significant, and likely increase quality of life, but there is little or no improvement in lung function. The review found low-certainty evidence that digital interventions may reduce asthma exacerbations. Subgroup analyses show that EMDs may improve adherence by 23% and SMS interventions by 12%, and interventions with an in-person element and adherence feedback may have greater benefits for asthma control and adherence, respectively. Future studies should include percentage adherence as a routine outcome measure to enable comparison between studies and meta-analysis, and use validated questionnaires to assess adherence and outcomes.

Isn't There an App for That? The Role of Smartphone and Tablet Applications for Asthma Education and Self-Management in Adolescents

Asthma is one of the most common chronic diseases worldwide, with a substantial proportion of the asthma population being children and adolescents. Self-management is recognized as a key component to asthma management, with multiple international guidelines emphasizing the need for adequate self-management skills for good asthma control. Unfortunately, the uptake amongst young people and adolescents is low, with often suboptimal engagement to self-management education and skills contributing to poor adherence to medication as well as poor perception of asthma symptoms. Innovative solutions to deliver education and self-management to adolescents are clearly needed. mHealth is the use of mobile devices such as smartphones and tablet devices to improve healthcare and has been used in multiple chronic diseases. This review articles explores the current use of mHealth in asthma, specifically smartphone and tablet applications as a generation-appropriate, accessible delivery modality for provision of asthma education and self-management interventions in adolescents. Current evidence gaps are also highlighted, which should be addressed in future research.

Electronic adherence monitoring devices for children with asthma: A systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Asthma is a common chronic condition amongst children. Poor adherence to asthma medications can increase asthma exacerbations, absence from school, healthcare utilisation and costs and decrease quality of life. Emerging evidence suggests the use of electronic adherence monitoring devices in improving children's adherence to medications.

OBJECTIVES

This study aimed to evaluate the effectiveness of electronic adherence monitoring devices in improving inhaler adherence amongst children with asthma.

DESIGN

This study is a systematic review and meta-analysis.

DATA SOURCES

A systematic search using Cochrane Library, PubMed, Embase, CINAHL, Web of Science, Scopus and ProQuest Dissertations and Theses from inception up to April 6, 2021, was conducted.

REVIEW METHODS

Randomised controlled trials evaluating the use of electronic adherence monitoring devices amongst children and published in English were included. The outcomes were inhaler adherence, asthma exacerbation, lung function, asthma control and accessibility. The overall effect was measured using Hedges' g and determined using Z-statistics at a significance level of p < 0.05. Heterogeneity was assessed using χ² and I² statistics. The individual and overall quality of evidence was assessed. Sensitivity and subgroup analyses were conducted. Narrative synthesis of outcomes was performed when meta-analysis could not be conducted on the data.

RESULTS

A total of 13,429 records were identified, and 10 randomised controlled trials in 11 articles amongst 1123 participants were included in the meta-analysis. Meta-analysis revealed that the electronic adherence monitoring device group was 1.50 times more likely to adhere to inhalers compared with the control group with medium-to-large effect size (g = 0.64). A series of subgroup analyses showed that no significant subgroup differences for inhaler adherence were found amongst different populations, comparator, setting, duration of the monitoring period, reminder, and feedback functions of the electronic adherence monitoring devices. Children found the devices as user friendly with high accessibility scores. However, no significant differences were observed between the intervention and control groups for asthma exacerbations, lung function and asthma control.

CONCLUSIONS

The findings from this study suggested that electronic adherence monitoring devices could improve inhaler adherence. Future devices should contain actuation and inhalation functions that can help to confirm actual inhalation amongst children with asthma. The overall evidence of outcomes ranged from very low to high. Furthermore, future large-scale trials were recommended before clinical implementations.