Personalising adherence-enhancing interventions using a smart inhaler in patients with COPD: an exploratory cost-effectiveness analysis

A survey and analysis of inhalation medication adherence among 977 COPD patients in a region of northern China

OBJECTIVE

Inhalation therapy is recommended by the World Health Organization as the first-line treatment for chronic obstructive pulmonary disease (COPD) due to its rapid onset of action, good safety profile, ease of use, and portability. High medication adherence in COPD patients is crucial for enhancing disease management. The aim of this study was to assess the level of disease control, adherence to inhaled medication therapy, and potential factors influencing treatment adherence among COPD patients.

METHODS

A paper-based questionnaire was used to survey COPD patients who were outpatients or inpatients at the First Affiliated Hospital of Harbin Medical University between January 2019 and October 2023. Patients were included if they had been diagnosed with stable COPD for more than 12 months, were prescribed inhaled medications for post-consultation or post-discharge management, and had used these medications for at least 8 weeks with follow-up review. Questionnaires were administered at the time of consultation and at the 8-week follow-up to comprehensively evaluate patients' adherence to inhaled medications based on their medication administration methods, frequency, and other relevant factors. Categorical data were described using frequencies and percentages, and comparisons between groups were conducted using the chi-square test. For the analysis of risk factors, binary logistic regression analysis was employed. To avoid collinearity among variables, a stepwise regression method was utilized for variable selection. A P-value < 0.05 was considered statistically significant.

RESULTS

A total of 977 patients were included, with an average age of 63 ± 9 years. Among them, 40.9% of the patients demonstrated high adherence to inhaled medication therapy. Patients who were under 70 years old (P = 0.03), had a higher annual household income (P = 0.04), had family supervision (P = 0.01), and had medical insurance (P = 0.02) exhibited higher adherence to inhaled medication therapy.

CONCLUSION

Among the surveyed patients, those who were under 70 years old (OR = 5.1, CI = 1.13-23.11) and had family supervision (OR = 3.26, CI = 1.3-8.21) demonstrated better medication adherence. This suggests that physicians could potentially improve patient medication adherence, optimize disease control, and enhance the overall quality of life for these patients by considering targeted interventions, such as identifying and educating elderly patients, intensifying tailored promotional activities, and encouraging family members to supervise medication use.

Application of e-Health tools in the assessment of inhalation therapy adherence in patients with chronic obstructive pulmonary disease: Scoping review coupled with bibliometric analysis

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder, and the assessment of inhalation therapy adherence is an important component of management in COPD patients. The emergence of e-Health tools provides new prospects for the assessment of inhalation therapy adherence. However, there is no comprehensive summary of the application of e-Health tools in assessing inhalation therapy adherence in COPD patients.

OBJECTIVES

This review aims to clarify the current state, effects, benefits, and limitations of using e-Health tools in assessing inhalation therapy adherence in COPD patients and provide future directions and recommendations for development in this field.

METHODS

This scoping review follows the 5-step framework developed by Arksey and O'Malley. Literature on the practical application of e-Health tools was systematically searched from PubMed, Embase, Web of Science, CINAHL, and Cochrane Library, spanning from inception to April 2024. Additionally, VOSviewer (version 1.6.20) was used to construct visualization maps of countries, institutions, authors, and keywords to investigate the internal relations of included literature and to explore research hotspots.

RESULTS

A total of 26 studies were included. The e-Health tools mainly include electronic monitoring devices (EMDs), smartphone app, electronic prescription, and web-based tool. e-Health tools can assess inhalation therapy adherence in COPD patients in real-time and objectively, and improve inhalation therapy adherence and clinical outcomes. Bibliometric analysis indicates that there is no network of co-authorship between countries or academic organizations. Two collaborative networks have been formed centered on Greene G. EMDs and disease exacerbations are the popular research directions.

CONCLUSIONS

e-Health tools have a wide range of applications and promising prospects in the assessment of inhalation therapy adherence in COPD patients. In the future, it is necessary to strengthen the cooperation between countries or research institutions, explore the cost-effectiveness of e-Health tools, and improve their accessibility and usability while adopting integrated design and combining artificial intelligence to improve the effectiveness of e-Health tools in the management of COPD.

Adherence in paediatric respiratory medicine: A review of the literature

Poor adherence is an important factor in unstable disease control and treatment failure. There are multiple ways to monitor a patient's adherence, each with their own advantages and disadvantages. The reasons for poor adherence are multi-factorial, inter-related and often difficult to target for improvement. Although practitioners can implement different methods of adherence, the ultimate aim is to improve health outcomes for the individual and the health care system. Asthma is a common airway disease, particularly diagnosed in children, often treated with inhaled corticosteroids and long-acting bronchodilators. Due to the disease's tendency for exacerbations and consequently, when severe will require unscheduled health care utilisation including hospital admissions, considerable research has been done into the effects of medication adherence on asthma control. This review discusses the difficulties in defining adherence, the reasons for and consequences of poor adherence, and the methods of recording and improving adherence in asthma patients, including an in-depth analysis of the uses of smart inhalers.

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.

Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks

For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially influences their quality of life. Generic treatment plans could be improved with the aid of computational models that account for patient-specific features such as breathing pattern, lung pathology and morphology. Therefore, we aim to develop and validate an automated computational framework for patient-specific deposition modelling. To that end, an image processing approach is proposed that could produce 3D patient respiratory geometries from 2D chest X-rays and 3D CT images. We evaluated the airway and lung morphology produced by our image processing framework, and assessed deposition compared to in vivo data. The 2D-to-3D image processing reproduces airway diameter to 9% median error compared to ground truth segmentations, but is sensitive to outliers of up to 33% due to lung outline noise. Predicted regional deposition gave 5% median error compared to in vivo measurements. The proposed framework is capable of providing patient-specific deposition measurements for varying treatments, to determine which treatment would best satisfy the needs imposed by each patient (such as disease and lung/airway morphology). Integration of patient-specific modelling into clinical practice as an additional decision-making tool could optimise treatment plans and lower the burden of respiratory diseases.

COPD treatment - a conceptual review based on critical endpoints

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is one of the main causes of death and disability worldwide. Many treatment options are now available, but criteria for choosing inhaled bronchodilators and inhaled corticosteroids have been under discussion. New trials have highlighted the role of patient`s characteristics, such as eosinophil count and exacerbation history, in selecting the most effective personalised treatment option.

METHODS

In this conceptual review, an in-depth rationale is developed with an integrative approach to COPD treatment, gathering data from the main clinical trials performed so far and that may provide support for actual GOLD 2023 recommendations.

RESULTS

According to the patient's characteristics and profile, different treatment options, including mono, dual and triple therapies, are presented in a diagram matrix, comparing their efficacy in terms of reduction of exacerbations and mortality risk.

DISCUSSION AND CONCLUSION

Eosinophil counts and past exacerbation profile may play equally relevant roles to predict the individual risk and the potential response to inhaled corticosteroids. Thus, a comprehensive approach considering these two predictors is needed to aid clinicians decide preventative actions and choice of a first-line or step-up treatment.

Implementation of digital home monitoring and management of respiratory disease

PURPOSE OF REVIEW

Digital respiratory monitoring interventions (e.g. smart inhalers and digital spirometers) can improve clinical outcomes and/or organizational efficiency, and the focus is shifting to sustainable implementation as an approach to delivering respiratory care. This review considers key aspects of the technology infrastructure, discusses the regulatory, financial and policy context that influence implementation, and highlights the over-arching societal themes of equity, trust and communication.

RECENT FINDINGS

Technological requirements include developing interoperable and connected systems; establishing stable, wide internet coverage; addressing data accuracy and monitoring adherence; realising the potential of artificial intelligence; and avoiding clinician data overload. Policy challenges include concerns about quality assurance and increasingly complex regulatory systems. Financial barriers include lack of clarity over cost-effectiveness, budget impact and reimbursement. Societal concerns focus on the potential to increase inequities because of poor e-health literacy, deprivation or lack of available infrastructure, the need to understand the implications for patient/professional interactions of shifting care to remote delivery and ensuring confidentiality of personal data.

SUMMARY

Understanding and addressing the implementation challenges posed by gaps in policy, regulatory, financial, and technical infrastructure is essential to support delivery of equitable respiratory care that is acceptable to patients and professionals.

Up-to-date guidance towards improving medication adherence in patients with chronic obstructive pulmonary disease

INTRODUCTION

Despite efficacious treatment for chronic obstructive pulmonary disease (COPD), medication adherence remains quite poor, with most estimates based on electronic monitoring devices ranging from 20-30%. This degree of nonadherence represents a significant missed opportunity to realize the benefits of treatment of this disease.

AREAS COVERED

In this article, we review research on the prevalence of nonadherence among patients with COPD, the association of nonadherence with health outcomes, barriers to adherence in this patient population, and potential interventions.

EXPERT OPINION

Integrating research into practice involves assessing patients' adherence, identifying modifiable barriers to adherence, open discussion of these barriers with patients, and tailored interventions to address them. These interventions may include treatment of previously unrecognized comorbid disease, providing educational or behavioral interventions, optimizing prescribing strategies, use of adherence aids, or addressing cost and other access barriers. Electronic inhaler monitors are promising interventions for both monitoring and improving adherence. However, remaining concerns about integration into patient care, data management, cost, acceptability, and ethical and privacy issues must be overcome prior to their implementation in clinical practice.

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

BACKGROUND

The clinical value of using digital tools to assess adherence and lung function in uncontrolled asthma is not known. We aimed to compare treatment decisions guided by digitally acquired data on adherence, inhaler technique, and peak flow with existing methods.

METHODS

A 32-week prospective, multicentre, single-blinded, parallel, randomly controlled trial was done in ten severe asthma clinics across Ireland, Northern Ireland, and England. Participants were 18 years or older, had uncontrolled asthma, asthma control test (ACT) score of 19 or less, despite treatment with high-dose inhaled corticosteroids, and had at least one severe exacerbation in the past year despite high-dose inhaled corticosteroids. Patients were randomly assigned in a 1:1 ratio to the active group or the control group, by means of a computer-generated randomisation sequence of permuted blocks of varying sizes (2, 4, and 6) stratified by fractional exhaled nitric oxide (FeNO) concentration and recruitment site. In the control group, participants were masked to their adherence and errors in inhaler technique data. A statistician masked to study allocation did the statistical analysis. After a 1-week run-in period, both groups attended three nurse-led education visits over 8 weeks (day 7, week 4, and week 8) and three physician-led treatment adjustment visits at weeks 8, 20, and 32. In the active group, treatment adjustments during the physician visits were informed by digital data on inhaler adherence, twice daily digital peak expiratory flow (ePEF), patient-reported asthma control, and exacerbation history. Treatment was adjusted in the control group on the basis of pharmacy refill rates (a measure of adherence), asthma control by ACT questionnaire, and history of exacerbations and visual management of inhaler technique. Both groups used a digitally enabled Inhaler Compliance Assessment (INCA) and PEF. The primary outcomes were asthma medication burden measured as proportion of patients who required a net increase in treatment at the end of 32 weeks and adherence rate measured in the last 12 weeks by area under the curve in the intention-to-treat population. The safety analyses included all patients who consented for the trial. The trial is registered with ClinicalTrials.gov, NCT02307669 and is complete.

FINDINGS

Between Oct 25, 2015, and Jan 26, 2020, of 425 patients assessed for eligibility, 220 consented to participate in the study, 213 were randomly assigned (n=108 in the active group; n=105 in the control group) and 200 completed the study (n=102 in the active group; n=98 in the control group). In the intention-to-treat analysis at week 32, 14 (14%) active and 31 (32%) control patients had a net increase in treatment compared with baseline (odds ratio [OR] 0·31 [95% CI 0·15-0·64], p=0·0015) and 11 (11%) active and 21 (21%) controls required add-on biological therapy (0·42 [0·19-0·95], p=0·038) adjusted for study site, age, sex, and baseline FeNO. Three (16%) of 19 active and 11 (44%) of 25 control patients increased their medication from fluticasone propionate 500 μg daily to 1000 μg daily (500 μg twice a day; adjusted OR 0·23 [0·06-0·87], p=0·026). 26 (31%) of 83 active and 13 (18%) of 73 controls reduced their medication from fluticasone propionate 1000 μg once daily to 500 μg once daily (adjusted OR 2·43 [1·13-5·20], p=0·022. Week 20-32 actual mean adherence was 64·9% (SD 23·5) in the active group and 55·5% (26·8) in the control group (between-group difference 11·1% [95% CI 4·4-17·9], p=0·0012). A total of 29 serious adverse events were recorded (16 [55%] in the active group, and 13 [45%] in the control group), 11 of which were confirmed as respiratory. None of the adverse events reported were causally linked to the study intervention, to the use of salmeterol-fluticasone inhalers, or the use of the digital PEF or INCA.

INTERPRETATION

Evidence-based care informed by digital data led to a modest improvement in medication adherence and a significantly lower treatment burden.

FUNDING

Health Research Board of Ireland, Medical Research Council, INTEREG Europe, and an investigator-initiated project grant from GlaxoSmithKline.

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.

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.

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.

A Pharmacy-Based eHealth Intervention Promoting Correct Use of Medication in Patients With Asthma and COPD: Nonrandomized Pre-Post Study

BACKGROUND

Asthma and chronic obstructive pulmonary disease (COPD) affect millions of people worldwide. While medication can control and improve disease symptoms, incorrect use of medication is a common problem. The eHealth intervention SARA (Service Apothecary Respiratory Advice) aims to improve participants' correct use of inhalation medication by providing information and as-needed tailored follow-up support by a pharmacist.

OBJECTIVE

The primary aim of this study was to investigate the effect of SARA on exacerbation rates in participants with asthma and COPD. Secondary aims were to investigate its effects in terms of adherence to maintenance medication and antimycotic treatment.

METHODS

In this nonrandomized pre-post study, medication dispensing data from 382 Dutch community pharmacies were included. Exacerbation rates were assessed with dispensed short-course oral corticosteroids. Medication adherence between new and chronic users was assessed by calculating the proportion of days covered from dispensed inhalation maintenance medication. Antimycotic treatment was investigated from dispensed oral antimycotics in participants who were also dispensed inhaled corticosteroids (ICS). Outcomes were assessed 1 year before and 1 year after implementation of SARA and were compared between SARA participants and control participants. More specifically, for exacerbation rates and medication adherence, a difference score was calculated (ie, 1 year after SARA minus 1 year before SARA) and was subsequently compared between the study groups with independent-samples t tests. For antimycotics, the relative number of participants who were dispensed antimycotics was calculated and subsequently analyzed with a mixed-effects logistic regression.

RESULTS

The study population comprised 9452 participants, of whom 2400 (25.39%) were SARA participants. The mean age of the population was 60.8 (15.0) years, and approximately two-thirds (n=5677, 60.06%) were female. The results showed an increase in mean exacerbation rates over time for both study groups (SARA: 0.05; control: 0.15). However, this increase in exacerbation rates was significantly lower for SARA participants (t₉₄₅₀=3.10, 95% CI 0.04-0.16; P=.002; Cohen d=0.06). Chronic users of inhalation medication in both study groups showed an increase in mean medication adherence over time (SARA: 6.73; control: 4.48); however, this increase was significantly higher for SARA participants (t₅₈₈₆=-2.74, 95% CI -3.86 to -0.84; P=.01; Cohen d=-0.07). Among new users of inhalation medication, results showed no significant difference in medication adherence between SARA and control participants in the year after implementation of SARA (t₁₄₃₄=-1.85, 95% CI -5.60 to 0.16; P=.06; Cohen d=-0.10). Among ICS users, no significant differences between the study groups were found over time in terms of the proportion of participants who were dispensed antimycotics (t₅₆₅₄=0.29, 95% CI -0.40 to 0.54; P=.76; Cohen d=0).

CONCLUSIONS

This study provides preliminary evidence that the SARA eHealth intervention might have the potential to decrease exacerbation rates and improve medication adherence among patients with asthma and COPD.

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.

Improving the risk-to-benefit ratio of inhaled corticosteroids through delivery and dose: current progress and future directions

INTRODUCTION

Inhaled corticosteroids (ICS) are known to increase the risk of systemic and local adverse effects, especially with high doses and long-term use. Hence, considerable resources are invested to improve pharmacokinetic/pharmacodynamic (PK/PD) properties of ICS, effective delivery systems and novel combination therapies to enhance the risk-to-benefit ratio of ICS.

AREAS COVERED

There is an unmet need for new solutions to achieve optimal clinical outcomes with minimal dose of ICS. This paper gives an overview of novel treatment strategies regarding the safety of ICS therapy on the basis of the three most recent molecules introduced to our everyday clinical practice - ciclesonide, mometasone furoate, and fluticasone furoate. Advances in aerosol devices and new areas of inhalation therapy are also discussed.

EXPERT OPINION

Current progress in improving the risk-to-benefit ratio of ICS through dose and delivery probably established pathways for further developments. This applies both to the improvement of the PK/PD properties of ICS molecules but also includes technical aspects that lead to simplified applicability of the device with simultaneous optimal drug deposition in the lungs. Indubitably, the future of medicine lies not only in the development of new molecules but also in technology and digital revolution.

Digital Inhalers for Asthma or Chronic Obstructive Pulmonary Disease: A Scientific Perspective

Impressive advances in inhalation therapy for patients with asthma and chronic obstructive pulmonary disease (COPD) have occurred in recent years. However, important gaps in care remain, particularly relating to poor adherence to inhaled therapies. Digital inhaler health platforms which incorporate digital inhalers to monitor time and date of dosing are an effective disease and medication management tool, promoting collaborative care between clinicians and patients, and providing more in-depth understanding of actual inhaler use. With advances in technology, nearly all inhalers can be digitalized with add-on or embedded sensors to record and transmit data quantitating inhaler actuations, and some have additional capabilities to evaluate inhaler technique. In addition to providing an objective and readily available measure of adherence, they allow patients to interact with the device directly or through their self-management smartphone application such as via alerts and recording of health status. Clinicians can access these data remotely and during patient encounters, to better inform them about disease status and medication adherence and inhaler technique. The ability for remote patient monitoring is accelerating interest in and the use of these devices in clinical practice and research settings. More than 20 clinical studies of digital inhalers in asthma or COPD collectively show improvement in medication adherence, exacerbation risk, and patient outcomes with digital inhalers. These studies support previous findings about patient inhaler use and behaviors, but with greater granularity, and reveal some new findings about patient medication-taking behaviors. Digital devices that record inspiratory flows with inhaler use can guide proper inhaler technique and may prove to be a clinically useful lung function measure. Adoption of digital inhalers into practice is still early, and additional research is needed to determine patient and clinician acceptability, the appropriate place of these devices in the therapeutic regimen, and their cost effectiveness.

A qualitative study of clinician perceptions regarding the potential role for digital health interventions for the management of COPD

Effective self-management of chronic obstructive pulmonary disease (COPD) can lead to increased patient control and reduced health care costs. However, both patients and healthcare professionals encounter significant challenges. Digital health interventions, such as smart oximeters and COPD self-management applications, promise to enhance the management of COPD, yet, there is little evidence to support their use and user-experience issues are still common. Understanding the needs of healthcare professionals is central for increasing adoption and engagement with digital health interventions but little is known about their perceptions of digital health interventions in COPD. This paper explored the perceptions of healthcare professionals regarding the potential role for DHI in the management of COPD. Snowball sampling was used to recruit the participants (n = 32). Each participant underwent a semi-structured interview. Using NVivo 12 software, thematic analysis was completed. Healthcare professionals perceive digital health interventions providing several potential benefits to the management of COPD including the capture of patient status indicators during the interappointment period, providing new patient data to support the consultation process and perceived digital health interventions as a potential means to improve patient engagement. The findings offer new insights regarding potential future use-cases for digital health interventions in COPD, which can help ease user-experience issues as they align with the needs of healthcare professionals.

Improving adherence in chronic airways disease: are we doing it wrongly?

Non-adherence to medicines is a significant clinical and financial burden, but successful strategies to improve it, and thus bring about significant improvements in clinical outcome, remain elusive. Many barriers exist, including a lack of awareness amongst some healthcare professionals as to the extent and impact of non-adherence and a dearth of skills to address it successfully. Patients may not appreciate that they are non-adherent, feel they cannot disclose it or underestimate its impact on their health in the short and longer term. In describing the evidence-based frameworks that identify the causal factors behind medicines taking (or not taking) behaviours, we can start to personalise interventions to enable individuals to make informed decisions about their treatments and thus overcome real and perceived barriers to adherence.

Medicines non-adherence is common and associated with significant morbidity and mortality. @GrainnedAn and colleagues outline causal factors behind this behaviour and the appropriate individualised interventions available to support optimal medicines use.https://bit.ly/3ejJNTV

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.

Economic evaluations of chronic obstructive pulmonary disease pharmacotherapy: how well are the real-world issues of medication adherence, comorbidities and adverse drug-reactions addressed?

INTRODUCTION

When estimating the cost-effectiveness or budget impact of chronic obstructive pulmonary disease (COPD) medication, it is common practice to use trial data for clinical inputs. However, such inputs do not always reflect the real-world situation. Previous reviews recognized the need for taking real-world data (medication adherence, comorbidity and adverse drug reactions [ADRs]) into account. Whether recent cost-effectiveness analyses of COPD medication implemented those recommendations is unknown.

AREAS COVERED

The authors reviewed recent economic evaluations of COPD-maintenance treatments focusing on medication adherence, comorbidity and ADRs.

EXPERT OPINION

In most registration trials of COPD treatment, strict inclusion and exclusion criteria are applied. During trials, patient monitoring is well controlled. As such, medication adherence is often higher than seen in less controlled, real-world environments with more heterogeneous characteristics. Additionally, safety data collected in trials may not be widely generalizable due to more comorbidity and polypharmacy in the real-world. Consequently, when merely relying on trial data, the impact of adherence, comorbidity and ADRs on the cost-effectiveness can be underestimated. To overcome these real-world data gaps, use of pragmatic trials and observational studies in addition to strictly controlled trial data is recommended. To catalyze implementation of these real-world issues, reporting checklists should be updated.

Medication adherence among patients with chronic obstructive pulmonary disease treated in a primary general hospital during the COVID-19 pandemic

Background

The objective of this study was to investigate medication adherence and the associated influencing factors in patients with chronic obstructive pulmonary disease (COPD) who were treated in a primary general hospital in Shanghai China during the 2019 novel coronavirus (COVID-19) pandemic.

Methods

From March to April 2020, all of the COPD patients treated in our department in the last 7 years were interviewed by telephone. The basic patient data and each questionnaire item were collected, and influencing factors were analyzed by the Chi-square test, U test, and univariate and multivariate logistic regression analyses.

Results

A total of 191 patients with COPD were queried, and 84 (44.0%) valid questionnaires were obtained. Among them, individuals with group B symptoms were most represented (45.2%); 53.6% had Medical Research Council (MRC) dyspnea levels of 2 or above. Chronic obstructive pulmonary disease assessment test (CAT) had an average of 9 [3, 13], and 52.4% of patients used two-drug combination therapy. Medication adherence was both good in ordinary times and over the past 2 months of the pandemic, and 88.8% of patients had no acute exacerbation during the pandemic. The CAT scores of male patients <70 years old, and patients with general outpatient follow-up and regular gargling were reduced (P<0.05). Drug combination and doctor’s supervision were favorable factors affecting medication adherence during the 2 months of the pandemic, while possible depression was an unfavorable factor (P<0.05).

Conclusions

During the pandemic, medication adherence in patients with COPD was similar to that in regular times, and was significantly related to drug combination, doctor’s supervision, and accompanying mood disorders. An effective way to improve patient adherence and disease control could be strengthening follow-up education and diagnosing and treating depression and other complications.

The Utility of Electronic Inhaler Monitoring in COPD Management: Promises and Challenges

COPD is a common respiratory disorder that poses a major health-care burden with societal and financial ramifications. Although effective inhaled therapies are available, nonadherence is common among patients with COPD and potentially contributes to the burden of this disease. Electronic inhaler monitoring (EIM) is a novel modality that enables real-time assessment of adherence to inhaled therapy and informs the assessment of treatment effectiveness. EIM can be combined with physician feedback, automated audiovisual reminders, and text messaging to bolster adherence. Clinical studies have suggested that EIM can diagnose nonadherence, improve adherence, and predict exacerbations. Using an EIM-guided protocol has the potential to avoid treatment escalation in the nonadherent. Coupling EIM to behavioral intervention is an area of ongoing research with mixed results, with some studies showing benefit and others showing minimal or no significant change in clinical outcomes. Further investigation is necessary to understand the incremental benefits of EIM features, delineate optimal program implementation, and target patient populations that would benefit the most from monitoring.

Inhaler Review in Older Adults with Asthma or COPD: A Cost-Effectiveness Study and a Perspective in Portugal

OBJECTIVES

Older patients with asthma or chronic obstructive pulmonary disease are particularly susceptible to exacerbations that may be associated with incorrect use of inhalers. Educational programs with inhaler technique review seem to be effective, but no studies have addressed their cost-effectiveness in older adult patients. The objective was to perform a cost-effectiveness analysis of education programs in older patients and estimate the cost benefit of applying such a program in Portugal.

DESIGN

We developed a decision tree analysis from a healthcare perspective, according to intervention costs and the exacerbation rates and costs described in a previous meta-analysis. A sensitivity analysis of worst and best case scenarios was performed to estimate thresholds for intervention affordable limits, as well as cost-saving estimations and incremental cost-effectiveness ratios (ICERs) for a Portuguese scenario.

SETTING AND PARTICIPANTS

We estimated cost-effectiveness thresholds applicable in all settings and performed a sensitivity analysis of a theoretical intervention model in all patients including an inhaler technique review at an annual appointment with a doctor and a nurse.

RESULTS

In the best case scenario, the intervention affordable budget could be up to almost 1800€ (US $1585.24) per patient per year. Mean intervention-associated savings in Portugal would be 311.88€ (US $274.68) per patient per year, representing annual savings up to €131 million (US $150 million) for the whole health system, already including intervention costs. ICERs for Portugal vary between 93.73€ (US $82.55) and 437.43€ (US $385.25) per exacerbation avoided.

CONCLUSION

A model of an intervention program with an inhaler technique review in older adult patients suggests that this intervention is cost-effective and can generate significant savings. J Am Geriatr Soc 1-7, 2019.

New insights to improve treatment adherence in asthma and COPD

Chronic respiratory diseases such as asthma and COPD are typically managed by daily inhaled medication. However, the efficacy of an inhaled medication depends upon a patient's adherence to therapy, which refers to whether the medication is actually taken as prescribed. In patients with these diseases, higher adherence has been associated with better health outcomes, such as improved disease control and a reduction in severe and potentially costly exacerbations. Adherence is a multifaceted concept that includes medication-related, intentional, and unintentional reasons that patients may or may not take their medication as directed. The purpose of this integrative review is to present the individual patient factors that contribute to suboptimal adherence to inhaled therapies and the associated effects on health outcomes, while also highlighting evidence-based strategies for health care providers to improve adherence to such therapies in patients with asthma or COPD. Working closely with patients to establish a model of shared decision-making, which takes patient beliefs and preferences into account when choosing treatment options, has the potential to improve adherence and overall patient outcomes in the management of asthma and COPD.