A Clinical Perspective on the Role of Electronic Devices in Monitoring and Promoting Adherence in Airways Disease

Key Features of Smart Medication Adherence Products: Updated Scoping Review

BACKGROUND

Older adults often face challenges in self-managing their medication owing to physical and cognitive limitations, complex medication regimens, and packaging of medications. Emerging smart medication dispensing and adherence products (SMAPs) offer the options of automated dispensing, tracking medication intake in real time, and reminders and notifications. A 2021 review identified 51 SMAPs owing to the rapid influx of digital technology; an update to this review is required.

OBJECTIVE

This review aims to identify new products and summarize and compare the key features of SMAPs.

METHODS

Gray and published literature and videos were searched using Google, YouTube, PubMed, Embase, and Scopus. The first 10 pages of Google and the first 100 results of YouTube were screened using 4 and 5 keyword searches, respectively. SMAPs were included if they were able to store and allowed for the dispensation of medications, tracked real-time medication intake data, and could automatically analyze data. Products were excluded if they were stand-alone software applications, not marketed in English, not for in-home use, or only used in clinical trials. In total, 5 researchers independently screened and extracted the data.

RESULTS

This review identified 114 SMAPs, including 80 (70.2%) marketed and 34 (29.8%) prototypes, grouped into 15 types. Among the marketed products, 68% (54/80) were available for consumer purchase. Of these products, 26% (14/54) were available worldwide and 78% (42/54) were available in North America. There was variability in the hardware, software, data collection and management features, and cost of the products. Examples of hardware features include battery life, medication storage capacity, availability of types and number of alarms, locking features, and additional technology required for use of the product, whereas software features included reminder and notification capabilities and availability of manufacturer support. Data capture methods included the availability of sensors to record the use of the product and data-syncing capabilities with cloud storage with short-range communications. Data were accessible to users via mobile apps or web-based portals. Some SMAPs provided data security assurance with secure log-ins (use of personal identification numbers or facial recognition), whereas other SMAPs provided data through registered email addresses. Although some SMAPs were available at set prices or free of cost to end users, the cost of other products varied based on availability, shipping fees, and subscription fees.

CONCLUSIONS

An expanding market for SMAPs with features specific to at-home patient use is emerging. Health care professionals can use these features to select and suggest products that meet their patients' unique requirements.

Measurement of adherence to inhaled corticosteroids by self-report and electronic medication monitoring

OBJECTIVE

Poor adherence to daily inhaled corticosteroids (ICS) is an important factor contributing to asthma morbidity. Assessing adherence in clinical settings using self-reported adherence often overestimates actual adherence. Electronic monitoring devices (EMDs) are objective means of assessing adherence, but are not routinely used in practice. Here, we aimed to establish adherence rates to ICS using EMDs in an inner-city, minority population in the Bronx, NY, and to compare two methods of self-reported adherence with EMD-measured adherence.

METHODS

Patients with physician-confirmed persistent asthma and daily ICS prescription were recruited. Self-reported adherence to ICS was measured by parental report for children and self-report for adults and the Medication Adherence Report Scale for Asthma (MARS-A). Two weeks after enrollment, EMD data were accessed for analysis. Daily adherence was calculated based on the number of puffs actuated per day as captured by EMD divided by the prescribed number of puffs.

RESULTS

41 children and 40 adults participated. Median EMD-measured ICS adherence was 41% (children) and 43% (adults). This was significantly lower than the median self-reported adherence (100% for children, p < 0.001; 100% for adults, p < 0.001). MARS-A score in children did not correlate with EMD adherence data (p = 0.18), while in adults, this correlation tended to be more consistent (p = 0.07).

CONCLUSIONS

Adherence to daily ICS as measured using EMD is low in this population. In both adults and children, self-reported adherence was a poor indicator of true adherence. Further efforts using objective measures of medication adherence for patients with high asthma morbidity may be warranted to guide therapeutic decisions.

Home monitoring in asthma: towards digital twins

PURPOSE OF REVIEW

We highlight the recent advances in home monitoring of patients with asthma, and show that these advances converge towards the implementation of digital twin systems.

RECENT FINDINGS

Connected devices for asthma are increasingly numerous, reliable and effective: new electronic monitoring devices extend to nebulizers and spacers, are able to assess the quality of the inhalation technique, and to identify asthma attack triggers when they include a geolocation function; environmental data can be acquired from databases and refined by wearable air quality sensors; smartwatches are better validated. Connected devices are increasingly integrated into global monitoring systems. At the same time, machine learning techniques open up the possibility of using the large amount of data collected to obtain a holistic assessment of asthma patients, and social robots and virtual assistants can help patients in the daily management of their asthma.

SUMMARY

Advances in the internet of things, machine learning techniques and digital patient support tools for asthma are paving the way for a new era of research on digital twins in asthma.

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.