Use of digital measurement of medication adherence and lung function to guide the management of uncontrolled asthma (INCA Sun): a multicentre, single-blinded, randomised clinical trial

Adherence to inhaled corticosteroid therapy and treatment escalation in the Swedish adult asthma population

BACKGROUND

Patients with uncontrolled asthma should be evaluated for medication adherence. This study aimed to identify characteristics associated with poor adherence to inhaled corticosteroids (ICS) and to explore adherence prior to treatment escalation.

METHODS

This nationwide longitudinal cohort study included adult asthma patients (n = 30880) with a healthcare visit including Asthma Control Test (ACT) and registered in the Swedish National Airway Register between 1 July 2017 and 28 February 2019 (index date). Patient data was crosslinked to other national registers. Treatment steps two years pre- and one year post-index, were identified by prescribed drugs. Poor adherence was defined as Medication Possession Ratio <80 %.

RESULTS

Poor adherence was identified in 73 % of patients in treatment steps 2-5, where of 35 % had uncontrolled asthma (ACT≤19). In adjusted models, poor adherence was associated with better disease control; ACT≤19 (OR 0.78, 95 % CI 0.71-0.84), short-acting β2-agonist (SABA) overuse (0.69, 0.61-0.79) and exacerbations (0.79, 0.70-0.89) in steps 2-3. Among patients with uncontrolled asthma, poor adherence was associated with SABA overuse (1.71, 1.50-1.95), exacerbations (1.29, 1.15-1.46), current smoking (1.38, 1.21-1.57) and inversely associated with asthma management education (0.85, 0.78-0.93. Similar results were observed in steps 4-5. When investigating post-index treatment, 53 % remained stationary, 30 % stepped down and 17 % escalated treatment. Prior to escalation, 49 % had poor adherence.

CONCLUSIONS

Poor ICS adherence was associated with better asthma control. Among uncontrolled patients, poor adherence was associated with SABA overuse and exacerbations. Our result highlights the importance of asthma management education to improve adherence in uncontrolled patients.

Reshaping respiratory care: potential advances in inhaled pharmacotherapy in asthma

INTRODUCTION

Asthma is a common disease with a global burden of 358 million patients. Despite improvements in pharmacological and non-pharmacological treatments, many patients still do not achieve complete asthma control. Therefore, innovative pharmacotherapy is important.

AREAS COVERED

Following a semi-structured search in Pubmed, an overview of advances in inhaled asthma therapy is provided, looking at innovations in digital inhalers, eco-friendly inhalers and novel inhaled biologic therapies, antibiotics and vaccines, as well as other potential novel asthma therapy targets.

EXPERT OPINION

Digital inhalers, sending reminders and monitoring inhalation technique electronically, can support medication adherence and improve asthma control. To reduce the global warming potential of traditional aerosols used in pressurized metered-dose inhalers (HFA-134a, HFA-227ea), greener alternatives are under development (HFA-152a, HFO-1234ze) that are expected to be available by 2025. Current pharmacological advances in asthma therapy are mainly achieved by novel biologicals (anti-IgE, anti-IL5, anti-IL4/13, and anti-TSLP) targeting specific severe asthma phenotypes. While injection is the usual administration route for biologics and vaccines used in asthma, inhalation is an option being explored, although several (mainly formulation) challenges need to be overcome. Other potential novel future inhaled asthma therapies include anti-IL-33/ST2 biologicals and JAK inhibitors, all still requiring more clinical evidence.

Use of Technology to Improve Adherence in Allergy/Immunology

The integration of technology into health care has shown significant promise in enhancing patient adherence, particularly in the field of allergy/immunology. This article explores the multifaceted approaches through which digital health interventions can be used to improve adherence rates among patients with allergic diseases and immunologic disorders. By reviewing recent advancements in telemedicine, mobile health applications, wearable devices, and digital reminders, as well as smart inhalers, we aim to provide a comprehensive overview of how these technologies can support patients in managing their conditions. The analysis highlights the role of personalized digital health plans, which, through the use of artificial intelligence and machine learning algorithms, can offer tailored advice, monitor symptoms, and adjust treatment protocols in real time. Moreover, the article discusses the impact of electronic health records and patient portals in fostering a collaborative patient-provider relationship, thereby enhancing communication and adherence. The integration of these technologies has been shown to not only improve clinical outcomes but also increase patient satisfaction and engagement.

Current technological advancement in asthma care

INTRODUCTION

Asthma is a common chronic respiratory disease affecting 262 million people globally, causing half a million deaths each year. Poor asthma outcomes are frequently due to non-adherence to medication, poor engagement with asthma services, and a lack of objective diagnostic tests. In recent years, technologies have been developed to improve diagnosis, monitoring, and care.

AREAS COVERED

Technology has impacted asthma care with the potential to improve patient outcomes, reduce healthcare costs, and provide personalized management. We focus on current evidence on home diagnostics and monitoring, remote asthma reviews, and digital smart inhalers. PubMed, Ovid/Embase, Cochrane Library, Scopus and Google Scholar were searched in November 2023 with no limit by year of publication.

EXPERT OPINION

Advanced diagnostic technologies have enabled early asthma detection and personalized treatment plans. Mobile applications and digital therapeutics empower patients to manage their condition and improve adherence to treatments. Telemedicine platforms and remote monitoring devices have the potential to streamline asthma care. AI algorithms can analyze patient data and predict exacerbations in proof-of-concept studies. Technology can potentially provide precision medicine to a wider patient group in the future, but further development is essential for implementation into routine care which in itself will be a major challenge.

Cost-Effectiveness and Impact on Health Care Utilization of Interventions to Improve Medication Adherence and Outcomes in Asthma and Chronic Obstructive Pulmonary Disease: A Systematic Literature Review

BACKGROUND

Poor adherence to asthma and chronic obstructive pulmonary disease maintenance therapies impairs health outcomes. Proven and cost-effective programs to promote adherence and persistence are not yet in regular widespread use. Implementation costs are a potential barrier to uptake of such programs.

OBJECTIVE

We undertook a systematic literature review and narrative synthesis of studies investigating the cost-effectiveness of treatment adherence-promoting programs or that determined their impact on health care budget directly or via health care resource use (HCRU).

METHODS

We identified relevant publications using Medline and PreMEDLINE (PubMed), Embase (Embase.com, Elsevier), and EconLit for publications between January 2000 and July 2021. We also searched clinical trial databases and selected conference proceedings.

RESULTS

Of 1,910 potentially relevant articles, 26 met prespecified inclusion criteria and underwent data extraction. Eleven reported a direct assessment of adherence, 15 included economic evaluations, and 17 described HCRU. None included an analysis of biologic medication use. When they were studied, interventions were often found to be highly cost-effective, with dominant incremental cost-effectiveness ratios in some cases. Reductions in direct costs and HCRU (health care visits, hospital admissions, and/or the use of medications, including add-on/reliever treatment and antibiotics) were frequently reported. Reported use of maintenance treatments improved in some studies. Counseling and/or digitally informed programs were used in all cases in which favorable outcomes were observed.

CONCLUSIONS

Adherence-promoting interventions are mostly cost-effective and often result in reduced HCRU and associated costs. Multidisciplinary care involving one-to-one advice and digitally enhanced communications appear to offer the greatest benefit.

Filling the gaps in the evaluation and selection of mobile health technologies in respiratory medicine

INTRODUCTION

Mobile health (mHealth) technology in respiratory medicine is a fast-growing and promising digital technology that is popular among patients and healthcare providers (HCPs). They provide reminders and step-by-step instructions for the correct inhalation technique, monitor patients' adherence to treatment, and facilitate communication between patients and HCPs.

AREAS COVERED

While numerous mHealth apps have been developed over the years, most applications do not have supporting evidence. Selecting the best mHealth app in respiratory medicine is challenging due to limited studies carrying out mHealth app selection. Although mHealth technologies play an important part in the future of respiratory medicine, there is no single guide on the evaluation and selection of mHealth technologies for patients with pulmonary diseases. This paper aims to provide an overview of mHealth technologies, particularly emphasizing digital inhalers and standalone applications used in asthma. Additionally, it offers insights into the evaluation, selection, and pertinent considerations surrounding mHealth applications in respiratory medicine.

EXPERT OPINION

Evaluating mHealth apps will take time, resources, and collaboration between stakeholders such as governmental regulatory bodies, subject-matter experts, and industry representatives. Filling the gaps in the evaluation and selection of the mHealth app will improve clinical decision-making, personalized treatments, self-management and disease monitoring in respiratory medicine.

Effectiveness of a Maintenance and Reliever Digihaler System in Asthma: 24-Week Randomized Study (CONNECT2)

BACKGROUND

Digital health tools have been shown to help address challenges in asthma control, including inhaler technique, treatment adherence, and short-acting β2-agonist overuse. The maintenance and reliever Digihaler System (DS) comprises 2 Digihaler inhalers (fluticasone propionate/salmeterol and albuterol) with an associated patient App and web-based Dashboard. Clinicians can review patients' inhaler use and Digihaler inhalation parameter data to support clinical decision-making.

OBJECTIVE

CONNECT2 evaluated asthma control in participants using the DS versus standard-of-care (SoC) maintenance and reliever inhalers.

METHODS

Participants (13 years or older) with uncontrolled asthma (Asthma Control Test [ACT] score <19) were randomized 4:3 (open-label) to the DS (n = 210) or SoC (n = 181) for 24 weeks. The primary endpoint was the proportion of patients achieving well-controlled asthma (ie, an ACT score ≥20 or increase from baseline of ≥3 units at week 24).

RESULTS

There was an 88.7% probability that participants using the DS would have greater odds of achieving improvement in asthma control compared with SoC after 24 weeks. The mean odds ratio (95% credible interval) for DS versus SoC was 1.35 (0.846-2.038), indicating a 35% higher odds of improved asthma control with the DS. The DS group had more clinician-participant interactions versus SoC, mainly addressing a poor inhaler technique. DS participants' maintenance treatment adherence was good (month 1: 79.2%; month 6: 68.6%); reliever use decreased by 38.2% versus baseline. App and Dashboard usability was rated "good."

CONCLUSION

The positive results in asthma control in this study after 24 weeks demonstrate the effectiveness of the DS in asthma management.

Electronic monitoring with a digital smart spacer to support personalized inhaler use education in patients with asthma: The randomized controlled OUTERSPACE trial

BACKGROUND

Poor adherence to inhaled medication has been associated with poor outcomes. Smart spacers can monitor inhaler use and technique, yet their feasibility in adults with asthma and their potential benefits are unknown.

OBJECTIVE

Assessing the feasibility of undertaking a definitive randomized controlled trial (RCT) of smart spacer-based inhaler education and explore potential clinical benefits in adults with asthma.

METHODS

Two-month randomized controlled feasibility OUtcomes following Tailored Education and Retraining: Studying Performance and AdherenCE (OUTERSPACE) trial comparing personalized smart spacer-based inhaler education versus usual care. Patients were recruited in four Dutch primary care centres. Outcomes were feasibility (inclusion speed, patient acceptance), medication adherence, inhaler technique, clinical effects (lung function, ACQ, FeNO) and usability (System Usability Scale [SUS]).

RESULTS

42 patients were randomized and all completed the study. The feasibility of performing a larger trial focusing on asthma patient education using a smart spacer was demonstrated with all patients included in four months and a participation rate of 86%. In the intervention group, inhalation errors per day decreased by 26.2% while in the usual care group inhalation errors increased by 14.6% (p = 0.021). Adherence decreased slightly in the intervention group as opposed to improvement in the control group (difference 12%, p = 0.028). No changes in lung function, ACQ or FeNO were observed. Usability was deemed high (SUS patients 71, nurses 89).

CONCLUSION

This RCT showed that smart spacer-driven education in patients with asthma is feasible and in this short-term study reduced inhaler errors. Longer-term and larger studies are required to assess clinical effects.

Long-Term Cost-Effectiveness of Digital Inhaler Adherence Technologies in Difficult-to-Treat Asthma

BACKGROUND

Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management, and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.

OBJECTIVE

We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.

METHODS

A model-based cost-utility analysis was performed. The Markov model structure was determined by biological and clinical understanding of asthma and was further informed by guideline-based assessment of model development. Internal and external validation was performed using the Assessment of the Validation Status of Health-Economic (AdViSHE) tool. The INCA (Inhaler Compliance Assessment) Sun randomized clinical trial data were incorporated into the model to evaluate the cost-effectiveness of digital inhalers. Several long-term clinical case scenarios were assessed (reduced number of exacerbations, increased asthma control, introduction of biosimilars [25% price-cut on biologics]).

RESULTS

The long-term modelled cost-effectiveness based on a societal perspective indicated 1-year per-patient costs for digital inhalers and usual care (ie, regular inhalers) of €7,546 ($7,946) and €10,752 ($11,322), respectively, reflecting cost savings of €3,207 ($3,377) for digital inhalers. Using a 10-year intervention duration and time horizon resulted in cost savings of €26,309 ($27,703) for digital inhalers. In the first year, add-on biologic therapies accounted for 69% of the total costs in the usual care group and for 49% in the digital inhaler group. Scenario analyses indicated consistent cost savings ranging from €2,287 ($2,408) (introduction biosimilars) to €4,581 ($4,824) (increased control, decreased exacerbations).

CONCLUSIONS

In patients with difficult-to-treat asthma, digital inhaler-based interventions can be cost-saving in the long-term by optimizing medication adherence and inhaler technique and reducing add-on biologic prescriptions.