Electronic adherence monitoring device performance and patient acceptability: a randomized control trial

Children and young people's preferences and needs when using health technology to self-manage a long-term condition: a scoping review

BACKGROUND

The use of patient-facing health technologies to manage long-term conditions (LTCs) is increasing; however, children and young people (CYP) may have preferences about health technologies which they interact or engage with, that influence their decision to use these technologies.

AIMS

To identify CYP's reported preferences about health technologies to self-manage LTCs.

METHODS

We undertook a scoping review, searching MEDLINE, PsycINFO and CINAHL in July 2021. Searches were limited to papers published between January 2015 and July 2021. We included any health technologies used to manage physical and mental LTCs. Qualitative content analysis of study data was undertaken to categorise data into themes and quantitative data were described and visually represented. We engaged CYP with LTCs to support the review design, interpretation of findings and development of recommendations.

RESULTS

161 journal articles were included, describing preferences of CYP. Most included studies were undertaken in high-income countries. CYP's main preferences and needs were: design and functionality; privacy and sharing; customisation and personalisation of the technology; and interaction options within the technology.

CONCLUSIONS

This review highlights important preferences and needs that CYP may have before using technologies to self-manage their LTC. These should be considered when developing technology for this population. Future research should involve CYP throughout the development of the technologies, from identifying their unmet needs through to final design, development, evaluation and implementation of the intervention.

Patients' UX Impact on Medication Adherence in Czech Pilot Study for Chronically Ill

This article presents a comprehensive and multistage approach to the development of the user experience (UX) for an mHealth application targeting older adult patients with chronic diseases, specifically chronic heart failure and chronic obstructive pulmonary disease. The study adopts a mixed methods approach, incorporating both quantitative and qualitative components. The underlying hypothesis posits that baseline medicine adherence knowledge (measured by the MARS questionnaire), beliefs about medicines (measured by the BMQ questionnaire), and level of user experience (measured by the SUS and UEQ questionnaires) act as predictors of adherence change after a period of usage of the mHealth application. However, contrary to our expectations, the results did not demonstrate the anticipated relationship between the variables examined. Nevertheless, the qualitative component of the research revealed that patients, in general, expressed satisfaction with the application. It is important to note that the pilot testing phase revealed a notable prevalence of technical issues, which may have influenced participants' perception of the overall UX. These findings contribute to the understanding of UX development in the context of mHealth applications for older adults with chronic diseases and emphasise the importance of addressing technical challenges to enhance user satisfaction and engagement.

DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks-a prospective observational study using digital markers and artificial intelligence-study protocol

INTRODUCTION

Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks.

METHODS AND ANALYSIS

A prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.

Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals' perspectives on cancer care and artificial intelligence

BACKGROUND

The integration of Artificial Intelligence (AI) technology in cancer care has gained unprecedented global attention over the past few decades. This has impacted the way that cancer care is practiced and delivered across settings. The purpose of this study was to explore the perspectives and experiences of healthcare professionals (HCPs) on cancer treatment and the need for AI. This study is a part of the INCISIVE European Union H2020 project's development of user requirements, which aims to fully explore the potential of AI-based cancer imaging technologies.

METHODS

A mixed-methods research design was employed. HCPs participating in cancer care in the UK, Greece, Italy, Spain, Cyprus, and Serbia were first surveyed anonymously online. Twenty-seven HCPs then participated in semi-structured interviews. Appropriate statistical method was adopted to report the survey results by using SPSS. The interviews were audio recorded, verbatim transcribed, and then thematically analysed supported by NVIVO.

RESULTS

The survey drew responses from 95 HCPs. The occurrence of diagnostic delay was reported by 56% (n = 28/50) for breast cancer, 64% (n = 27/42) for lung cancer, 76% (n = 34/45) for colorectal cancer and 42% (n = 16/38) for prostate cancer. A proportion of participants reported the occurrence of false positives in the accuracy of the current imaging techniques used: 64% (n = 32/50) reported this for breast cancer, 60% (n = 25/42) for lung cancer, 51% (n = 23/45) for colorectal cancer and 45% (n = 17/38) for prostate cancer. All participants agreed that the use of technology would enhance the care pathway for cancer patients. Despite the positive perspectives toward AI, certain limitations were also recorded. The majority (73%) of respondents (n = 69/95) reported they had never utilised technology in the care pathway which necessitates the need for education and training in the qualitative finding; compared to 27% (n = 26/95) who had and were still using it. Most, 89% of respondents (n = 85/95) said they would be opened to providing AI-based services in the future to improve medical imaging for cancer care. Interviews with HCPs revealed lack of widespread preparedness for AI in oncology, several barriers to introducing AI, and a need for education and training. Provision of AI training, increasing public awareness of AI, using evidence-based technology, and developing AI based interventions that will not replace HCPs were some of the recommendations.

CONCLUSION

HCPs reported favourable opinions of AI-based cancer imaging technologies and noted a number of care pathway concerns where AI can be useful. For the future design and execution of the INCISIVE project and other comparable AI-based projects, the characteristics and recommendations offered in the current research can serve as a reference.

Objective Assessment of Adherence and Inhaler Technique among Asthma and COPD Patients in London: A Study in Community Pharmacies Using an Electronic Monitoring Device

BACKGROUND

The INhaler Compliance Assessment (INCA^TM) device is an electronic monitoring device (EMD) that assesses both patient's adherence and inhaler technique (IT). This study aimed, first, to assess the value of using the INCA^TM device as an objective measure during medicine use review (MUR) consultations provided by community pharmacists (CPs) on patients' adherence and IT. Second, we aimed to explore patients' perceptions about the INCA^TM device.

METHODS

A mixed methods approach was used, involving two phases. Phase one was a service evaluation in independent community pharmacies in London with a before-and-after study design. The service included provision of an MUR consultation to asthma and COPD patients using objective feedback about adherence and IT generated with the INCA^TM device. Descriptive and inferential statistics were performed using SPSS. Phase two involved semi-structured interviews with respiratory patients. Thematic analysis was performed to generate key findings.

MAIN FINDINGS

Eighteen patients participated in the study (12 COPD and 6 asthma). The results showed significant improvement in the INCA^TM actual adherence from 30% to 68% (p = 0.001) and significant reduction in IT error rate from 51% to 12% (p = 0.002) after conducting the service. Analysis of the interviews revealed patients' positive attitudes in terms of the perceived benefits of the technology and a desire for future use and recommendation for others. Patients had also positive attitudes towards the consultations provided.

CONCLUSION

Embedding an objective measure about adherence and IT during CPs' consultations showed a significant improvement in patients' adherence and IT and was accepted by patients as well.

Electronic Monitoring Devices to Support Inhalation Technique in Patients with Asthma: a Narrative Review

Purpose of Review

Improper inhaling technique is common and is associated with poor patient outcomes. However, digital e-health devices may offer novel opportunities for educational support. This narrative review provides an overview of electronic monitoring devices (EMDs) measuring patient inhalation technique. We summarise their technical features, capabilities and limitations and discuss the steps necessary for implementation in clinical practice.

Recent Findings

Six EMDs measuring inhalation were identified. The quality of published evidence varied widely. Devices differed in the inhalation technique steps measured, the feedback provided and the type of sensor employed. Sustainability and battery life differed according to whether devices were built into inhalers or add-ons. Nevertheless, all EMDs could reliably capture diverse inhaler technique errors, and some can guide educational interventions and follow-up treatment. In addition, some EMDs may serve as an early warning system for exacerbations.

Summary

New-generation EMDs can measure patient inhalation technique, yet there is limited data on patient preferences, acceptability of inhaler technique monitoring, cost-effectiveness and the influence of inhaler technique monitoring on clinical outcomes, all representing areas for further research.

The Acceptability of Using Augmented Reality as a Mechanism to Engage Children in Asthma Inhaler Technique Training: Qualitative Interview Study With Deductive Thematic Analysis

BACKGROUND

Inhaled medications or inhalers provide first-line pharmacotherapeutic treatment for patients with asthma for both acute symptomatic relief and long-term management to keep symptoms under control. A good technique requires only basic instruction and training; however, a recent study identified that 92% of children do not follow all correct steps when using inhalers. There is a growing interest in technology-enhanced asthma education, with evidence demonstrating improvements in knowledge and treatment adherence. Subsequently, there are calls to explore the role of technology-based solutions in improving asthma management and disease outcomes from public health experts, health professionals, and patients with asthma. Augmented reality (AR) technology is an information delivery mechanism with proven efficacy in educational settings. AR displays digital content in a real-world environment using the camera on a smartphone or tablet device to create an immersive learning experience.

OBJECTIVE

The study aimed to evaluate the acceptability of AR as a mechanism for delivering asthma inhaler technique education from the perspective of children with asthma and their parents and health professionals, examined through the theoretical framework of acceptability (TFA).

METHODS

An asthma education resource enhanced with AR technology was created to provide inhaler technique education to children. An iterative co-design process was undertaken with target end users for a qualitative evaluation. The participants were 8 to 12 years old with asthma, their caregivers, and health professionals who had experience in managing asthma. Qualitative data were obtained through semistructured one-on-one interviews. Deductive thematic analysis using TFA was undertaken using NVivo software 2020 to assess the acceptability of AR as a delivery modality for asthma inhaler technique education.

RESULTS

Overall, 6 health care professionals, 5 asthmatic children, and 5 caregivers of children with asthma totaled a sample of 16. The use of AR in the asthma inhaler resource was found to be acceptable when responses were examined in accordance with TFA. Each of the 7 component constructs of TFA was coded throughout the 16 interviews, with perceived effectiveness (157 times) and affective attitude (63 times) coded most frequently. Positive responses included the intervention being accessible, easy to use, interesting, and fitting within the users' value systems. Negative responses included the need to maintain an interest in children and concerns about the loss of face-to-face interaction with health professionals.

CONCLUSIONS

AR appears to be an acceptable modality for delivering asthma education to children when explored using TFA constructs. Although some challenges were identified with the use of AR, the results were predominantly positive. Future designs of asthma education interventions involving AR should consider the results of this study, and further research should focus on the feasibility, usability, and barriers and facilitators of behavior change to ensure the successful implementation and uptake of AR into clinical settings.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1177/16094069211042229.

Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management

Maintenance therapy delivered via inhaler is central to asthma and chronic obstructive pulmonary disease (COPD) management. Poor adherence to inhaled medication and errors in inhalation technique have long represented major barriers to the optimal management of these chronic conditions. Technological innovations may provide a means of overcoming these barriers. This narrative review examines ongoing advances in digital technologies relevant to asthma and COPD with the potential to inform clinical decision-making and improve patient care. Digital inhaler devices linked to mobile apps can help bring about changes in patients' behaviors and attitudes towards disease management, particularly when they build in elements of interactivity and gamification. They can also support ongoing technique education, empowering patients and helping providers maximize the value of consultations and develop effective action plans informed by insights into the patient's inhaler use patterns and their respiratory health. When combined with innovative techniques such as machine learning, digital devices have the potential to predict exacerbations and prompt pre-emptive intervention. Finally, digital devices may support an advanced precision medicine approach to respiratory disease management and help support shared decision-making. Further work is needed to increase uptake of digital devices and integrate their use into care pathways before their full potential in personalized asthma and COPD management can be realized.

Integrating digital inhalers into clinical care of patients with asthma and chronic obstructive pulmonary disease

Modernizing inhaled medications through digital technology can help address persistent problems of non-adherence and poor inhaler technique in patients with obstructive lung diseases. With a growing body of supportive clinical studies, advances in digital inhaler sensors and platforms, greater support from payers and healthcare organizations, significant growth with these technologies is expected. While all digital (smart) inhalers record adherence, these are distinguished by their compatibility with commercial inhalers, capabilities to guide inhaler technique, use of patient-reported outcomes, and user-friendliness for both the healthcare professional (HCP) and patient. Due to the complexity and novelty of employing digital inhalers, collaboration with multiple entities within health systems is necessary and a well-planned integration is needed. For HCPs and patients, cybersecurity and privacy are critical, it will require review by each healthcare organization. In the US, some payers reimburse for remote monitoring using digital inhalers, but reimbursement is currently unavailable in other countries. There are several models for remote patient care, as employing an active, ongoing digital interface between the HCP and patient or they may choose to only review data at clinical encounters. Personalization of therapies and feedback are key to success. While digital inhaler malfunction uncommonly occurs, patient attrition over a year is significant. Some patients will be challenged to use digital platforms or have the necessary technology. Additional research is needed to address cost-effectiveness, in vivo accuracy of inspiratory measurement capable devices, ability to teach inhaler technique, their application for monitoring lung function, and lastly real-world adoption and implementation in routine clinical practice.

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.

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.

Feasibility of video observed therapy to support controller inhaler use among children in West Baltimore

OBJECTIVE

To assess feasibility of a novel video directly observed therapy (DOT)-based digital asthma program intended to support correct inhaled corticosteroid (ICS) use among children.

METHODS

We conducted a 60-day pilot study among patients 2-18 years attending a primary care clinic with prescribed ICS and sub-optimally controlled asthma (recent hospitalization, ICS nonadherence, frequent rescue inhaler use, therapy escalation, or Asthma Control Test <20). Participants used a mobile application to receive reminders, submit videos of ICS doses (video DOT), and receive asynchronous feedback on adherence and inhaler technique. We assessed enrollment, engagement, program metrics, and user experience; adherence and inhaler errors were secondary outcomes.

RESULTS

Of 26 eligible patients, 21 (81%) enrolled and submitted ≥1 video; median age was 11 years (8-15), 71% were male, 90% had Medicaid, and 62% experienced ≥1 exacerbation in the previous 6 months. Retention was 57% and 52% at week 5 and 8, respectively. Participants submitted 810 videos. Missed doses, inhaler errors (n = 247) and adherence issues (n = 107) prompted 543 communications; inadequate inspiration or holding breath were most common. Among 16 patients with engagement >7 days and >4 videos, median inhaler error rate (proportion of videos with ≥1 error) decreased from week 1 to week 2 (73% vs 8%, p ≤ 0.05) with median adherence >80%. Participants experienced the program as long, but easy to use; benefits included building routines, skill, and independence.

CONCLUSIONS

This pilot study suggests high program acceptability among our cohort. High engagement with improved inhaler technique over the first 14 days suggests shorter implementation.

Digital Technologies for Monitoring and Improving Treatment Adherence in Children and Adolescents With Asthma: Scoping Review of Randomized Controlled Trials

BACKGROUND

Inadequate pediatric asthma care has resulted in potentially avoidable unplanned hospital admissions and morbidity. A wide variety of digital technologies have been developed to monitor and support treatment adherence in children and adolescents with asthma. However, existing reviews need to be updated and expanded to provide an overview of the current state of research on these technologies and how they are being integrated into existing health care services and care pathways.

OBJECTIVE

This study aims to provide an overview of the current research landscape and knowledge gaps regarding the use of digital technologies to support the care of children and adolescents with asthma.

METHODS

This study was structured according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) and Population, Intervention, Comparator, Outcome, and Study frameworks. Five databases (PubMed, the Cochrane Central Register of Controlled Trials, Web of Science, Embase, and PsycINFO) were systematically searched for studies published in English from 2014 onward. Two reviewers independently screened the references and selected studies for inclusion based on the eligibility criteria. Data were systematically extracted per research question, which were synthesized in a descriptive analysis.

RESULTS

A wide variety of study characteristics, including the number and age of participants, study duration, and type of digital intervention, were identified. There was mixed evidence for the effectiveness of the interventions. Of the 10 studies that evaluated treatment adherence, 7 (70%) found improvements, but the evidence was inconsistent for asthma control (6/9, 67% of studies reported improvement or maintenance, but only 1 was significantly different between groups) and health outcome variables (5/9, 56% of studies found no evidence of effectiveness). The 6 studies that examined patient perceptions and assessments of acceptability and usability generally had positive findings.

CONCLUSIONS

A wide range of digital interventions are being developed and evaluated to support the monitoring and treatment adherence of children and adolescents with asthma. Meta-analyses are inhibited by the use of samples with a variety of overlapping age ranges; a theoretical framework for evaluating specific age groups would aid comparison between studies. Most studies found significant evidence for improved adherence to treatment or medications, but there was mixed evidence of the impact of the digital interventions on asthma control and other health outcomes. There are gaps in the literature relating to cost-effectiveness and integration with existing clinical care pathways. This study will be necessary to determine which digital interventions for children and young people with asthma are worth supporting and adopting in the clinical care pathways.

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.

Global burden of medication non-adherence in chronic obstructive pulmonary disease (COPD) and asthma: a narrative review of the clinical and economic case for smart inhalers

Medication non-adherence to asthma and chronic obstructive pulmonary disease therapy poses a significant burden for patients and societies. Non-adherence encompasses poor initiation, implementation (including poor inhalation technique) and non-persistence. Globally, non-adherence is associated with poor clinical outcomes, reduced quality of life and high healthcare and societal costs. Costs are mainly caused by excess hospitalizations and impaired work productivity. Multiple intervention programs to increase adherence in patients with asthma and chronic obstructive pulmonary disease have been conducted. However, these intervention programs are generally not as effective as intended. Additionally, adherence outcomes are mostly examined with non-objective or non-granular measures (e.g., self-report, dose count, pharmacy records). Recently developed smart inhalers could be the key to objectively diagnose and manage non-adherence effectively in patients with asthma and chronic obstructive pulmonary disease. Smart inhalers register usage of the inhaler, record time and date, send reminders, give feedback about adherence and some are able to assess inhaler technique and predict exacerbations. Still, some limitations need to be overcome before smart inhalers can be incorporated in usual care. For example, their cost-effectiveness and budget impact need to be examined. It is likely that smart inhalers are particularly cost-effective in specific asthma and chronic obstructive pulmonary disease subgroups, including patients with asthma eligible for additional GINA-5 therapy (oral corticosteroids or biologics), patients with severe asthma in GINA-5, patients with asthma with short-acting beta2 agonists overuse, patients with asthma and chronic obstructive pulmonary disease with frequent exacerbations and patients with asthma and chronic obstructive pulmonary disease of working-age. While there is high potential and evidence is accumulating, a final push seems needed to cost-effectively integrate smart inhalers in the daily management of patients with asthma and chronic obstructive pulmonary disease.

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.

Validation of a Novel Electronic Device for Medication Adherence Monitoring of Ambulatory Patients

Several methods exist for measuring medication adherence. The Time4Med^TM device (Adherence Innovations, Hong Kong) is a small, electronic card to affix on medication packaging that records date and time of intakes when a button is pushed. We aimed to validate the device with an emphasis on polypharmacy. Twenty volunteers used Time4Med^TM devices with a virtual thrice daily intake over 14 days. Diary-recorded date and time were compared to electronically-stored events. Functionality, reliability and recovery for different stress conditions were calculated. User‘s acceptability was assessed with the System Usability Scale (SUS). Eleven elderly outpatients (mean age 80.2 ± 8.1 years) taking >3 medications daily used the device over 4 weeks. Volunteers logged 847 events. Functionality (100%), sensitivity (94.9%), specificity (99.4%) and recovery (100%) were high. Dropping the smart card and storing it in a refrigerator caused either the recording of false events or no recording at all. The mean SUS score was 82.6 (SD 14.8), demonstrating excellent acceptability. Satisfaction was very high for volunteers and patients, except for pushing the button. Time4Med^TM devices are highly accurate in recording, retaining and delivering electronic data of multiple medication intake. They are well accepted by elderly patients. They can be recommended in clinical studies and for practitioners who desire to elucidate adherence patterns of ambulatory patients.

What Is the Impact of Innovative Electronic Health Interventions in Improving Treatment Adherence in Asthma? The Pediatric Perspective

Suboptimal adherence to treatment is a significant issue in the management of pediatric asthma and is a major cause of uncontrolled disease, life-threatening attacks, and increased use of health care resources. Electronic health solutions have the potential to positively impact asthma self-management in children and adolescents and their families, thereby improving treatment adherence and asthma outcomes. However, there is a lack of sufficient data to support widespread adoption of electronic health tools in pediatric asthma practice. A critical evaluation of the impact of these new interventions on treatment adherence in childhood asthma must consider unmet needs, heterogeneity of trials, safety and data security issues, long-term effects, and cost-effectiveness. This article explores the most relevant issues facing the role of electronic health and its subcategory-mobile health-in promoting treatment adherence in childhood asthma, focusing on current evidence gaps and limitations, and future research perspectives.

Self-Management Maintenance Inhalation Therapy With eHealth (SELFIE): Observational Study on the Use of an Electronic Monitoring Device in Respiratory Patient Care and Research

BACKGROUND

Electronic inhalation monitoring devices (EIMDs) are available to remind patients with respiratory diseases to take their medication and register inhalations for feedback to patients and health care providers as well as for data collection in research settings.

OBJECTIVE

This study aimed to assess the validity as well as the patient-reported usability and acceptability of an EIMD.

METHODS

This observational study planned to include 21 community pharmacies in the Netherlands. Patient-reported inhalations were collected and compared to EIMD registrations to evaluate the positive predictive value of these registrations as actual patient inhalations. Patients received questionnaires on their experiences and acceptance.

RESULTS

A convenience sample of 32 patients was included from across 18 pharmacies, and 932 medication doses were validated. Of these, 796 registrations matched with patient-reported use (true-positive, 85.4%), and 33 inhalation registrations did not match with patient-reported use (false-positive, 3.5%). The positive predictive value was 96.0%, and 103 patient-reported inhalations were not recorded in the database (false-negative, 11.1%). Overall, patients considered the EIMD to be acceptable and easy to use, but many hesitated to continue its use. Reminders and motivational messages were not appreciated by all users, and more user-tailored features in the app were desired.

CONCLUSIONS

Patients' interaction with the device in real-world settings is critical for objective measurement of medication adherence. The positive predictive value of this EIMD was found to be acceptable. However, patients reported false-negative registrations and a desire to include more user-tailored features to increase the usability and acceptability of the EIMD.

Parent Preferences for Methods and Content of Mobile Technology-Based Asthma Medication Adherence Intervention

OBJECTIVES

Mobile technology-based asthma medication adherence interventions can be targeted to children during periods of high risk, including the transition from hospital to home or when refill behavior suggests declining adherence. Our objective was to develop insight into parent use of mobile technology and their preferences for a mobile technology-based asthma intervention.

METHODS

By using qualitative methods, 20 interviews of parents of children with asthma were conducted. The open-ended, semistructured interview guides included questions about current mobile technology use, barriers to controller medication adherence, and preferences for methods and content of a mobile technology-based asthma intervention. Using grounded theory methodology, investigators coded the transcripts and identified emerging themes.

RESULTS

Twenty parents completed interviews. Half of the children were 7 to 12 years old. Eighty percent had public insurance. Sixty-five percent had a previous hospitalization. Three major themes were identified: chronic disease management assistance, distinct preferences for risk communication, and electronic reachability. Chronic disease management assistance included parents recognizing that busy lifestyles contribute to adherence challenges and welcoming a program to assist them. Distinct preferences for risk communication included a preference for 2-way communication via text message or phone call at least monthly. Under the theme of electronic reachability, all enrolled parents had smartphones and used them daily.

CONCLUSIONS

Parents of children with asthma are open to communicating with asthma providers through mobile technology. This information can be used to inform the development of mobile technology-based interventions to improve care for children with asthma during periods of high risk, including the transition from hospital to home.

Novel methods for device and adherence monitoring in asthma

PURPOSE OF REVIEW

The article aims to provide an updated and evidence-based review of the innovative electronic health interventions to monitor and improve inhaler technique and adherence to recommended therapy in asthma.

RECENT FINDINGS

Out of the 290 articles identified by the search strategy, 23 manuscripts fulfilled the review inclusion criteria. Included studies mainly addressed m-health, electronic reminders, telemedicine, and inhaler tracker interventions. Investigations were performed both in adults and children. Remarkably, the majority of studies were performed in the most recent years, showing a progressively increasing interest for this field. Existing findings appear to be of moderate-high quality. A significant number of papers, however, were published in scientific journals with a low impact factor (<2). Furthermore, extremely high heterogeneity was found in the considered study endpoints. Collected evidence supports a relevant role for e-health in monitoring and improving inhaler use and treatment adherence in asthma. The patients' acceptance and satisfaction towards assessed interventions were also found to be positive.

SUMMARY

E-health represents a highly valuable tool for achieving optimal and personalized asthma management. Unanimously agreed and adopted standards for conducting trials and reporting results on e-health in asthma are however needed to fully understand its real added value.