Use of a Remote Inhaler Monitoring Device to Measure Change in Inhaler Use with Chronic Obstructive Pulmonary Disease Exacerbations

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.

Budget impact analysis of a digital monitoring platform for COPD

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a progressive debilitating condition with frequent exacerbations that have a high burden for patients and society. Digital tools may help to reduce the economic burden for patients and payers by improving outcomes. The Propeller platform is a digital self-management tool that facilitates passive monitoring of inhaler medication utilization, potentially assisting the healthcare team to identify patients at risk of a COPD exacerbation who may require further intervention. This study estimated the budget impact of Propeller from commercial payer and Medicare fee-for-service payer perspectives.

METHODS

An Excel-based model was used to estimate the budget impact of Propeller for COPD patients in commercial and Medicare population sizes of 5 million members. Data on prevalence, baseline healthcare resource utilization (HCRU), and baseline use of rescue and controller inhaler medications with unit costs (adjusted to 2020 US dollars) were obtained from peer-reviewed literature. Data on reductions in HCRU during Propeller usage were based on direct evidence. Estimates for costs of remote monitoring were obtained from publicly available information. All patients were assumed to have insurance claims related to ongoing remote monitoring.

RESULTS

The estimated number of annual eligible COPD patients for commercial and Medicare was 212,200 and 606,600, respectively. Propeller decreased costs by an estimated $2,475 (commercial) and $915 (Medicare) per enrolled patient. The greatest increase in expenditure was for remote monitoring related expenses. After accounting for estimated reductions in hospitalizations, emergency department visits and short-acting beta-agonist use, total net savings were approximately $1.60 and $1.70 per-member per-month for commercial and Medicare payers, respectively.

CONCLUSION

Propeller is projected to be cost saving from both the commercial and Medicare payer perspectives.

A mobile health intervention for improving the technique of inhaled medications among children with asthma: A pilot study

Objective

BreatheSuite MDI is a Bluetooth-enabled inhaler attachment and mobile application which aims to improve asthma control. The objective was to compare pressurized metered dose inhaler (pMDI) technique and asthma control test (ACT) scores pre- and post-use of the device and mobile application. Secondary objectives were to assess user satisfaction and therapy adherence.

Methods

Patients between the ages of 8 and 18 were recruited from several pediatric asthma clinics. Technique and ACT scores were assessed at baseline. Users were given no prompts on technique during the first month of device use. For the subsequent three months, users were given technique scores through the mobile application after each inhaler use and provided weekly performance summaries. At the end of the study, technique and ACT scores were analyzed and an exit survey was completed. Conditional logistic regression was used to examine the association between well-controlled asthma (ACT score > 19) and the intervention.

Results

24 patients completed the study. Technique scores improved following the use of Breathesuite (44.19 vs. 62.54; P = 0.01). Well-controlled asthma did not significantly improve (OR = 1.20 [0.4-3.9], P = 0.76). 87% of study subjects agreed or strongly agreed that their asthma control improved while using BreatheSuite; 79% were satisfied with the device and mobile application; and 91% preferred using the device compared to a standard logbook to track inhaler usage.

Conclusions

In this pilot study, the use of BreatheSuite device was associated with improved technique scores. These results need to be confirmed by a randomized controlled trial. There was high user satisfaction with the BreatheSuite device.

Symptom-driven inhaled corticosteroid/long-acting beta-agonist therapy for adult patients with asthma who are non-adherent to daily maintenance inhalers: a study protocol for a pragmatic randomized controlled trial

BACKGROUND

While inhaled corticosteroids (ICS) are considered the essential foundation of most asthma therapy, ICS inhaler nonadherence is a notoriously common problem and a significant cause of asthma-related morbidity. Partially acknowledging the problem of nonadherence, international organizations recently made paradigm-shifting recommendations that all patients with mild-to-moderate persistent asthma be considered for symptom-driven ICS-containing inhalers rather than relying on adherence to traditional maintenance ICS inhalers and symptom-driven short-acting beta-agonists (SABA). With this new approach, asthma patients are at least exposed to the important anti-inflammatory effects of ICS-containing inhalers when their symptom reliever inhaler is deployed due to acute symptoms.

METHODS

This study will (Part 1) complete a pragmatic randomized controlled trial to evaluate if an inhaler strategy that utilizes symptom-driven ICS inhalers is particularly beneficial in maintenance ICS inhaler non-adherent asthma patients, and (Part 2) use a dissemination and implementation (D&I) science conceptual framework to better understand patients' and providers' views of inhaler nonadherence. This study, which will have an option of taking place entirely remotely, will use a Food and Drug Administration (FDA)-approved electronic sensor (Hailie® sensor) to monitor inhaler adherence and includes semi-structured interviews guided by the Consolidated Framework for Implementation Research (CFIR).

DISCUSSION

This study is assessing the problem of nonadherence using a D&I implementation science research lens while testing a new inhaler approach to potentially ameliorate the detrimental consequences of maintenance inhaler nonadherence. We hypothesize that the use of a symptom-driven ICS/LABA management strategy, as compared to traditional maintenance ICS treatment and symptom-driven SABA, will lead to improved adherence to an asthma treatment strategy, decreased asthma-related morbidity, less cumulative ICS exposure, and greater patient satisfaction with an inhaler approach.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05111262. Registered on November 8, 2021.

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.

Remote patient monitoring in the management of chronic obstructive pulmonary disease

Remote patient monitoring allows monitoring high-risk patients through implementation of an expanding number of technologies in coordination with a healthcare team to augment care, with the potential to provide early detection of exacerbation, prompt access to therapy and clinical services, and ultimately improved patient outcomes and decreased healthcare utilization.In this review, we describe the application of remote patient monitoring in chronic obstructive pulmonary disease including the potential benefits and possible barriers to implementation both for the individual and the healthcare system.

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.

Effectiveness of the BreatheSuite Device in Assessing the Technique of Metered-Dose Inhalers: Validation Study

Background

The majority of medications used in treating asthma and chronic obstructive pulmonary disease (COPD) are taken through metered-dose inhalers (MDIs). Studies have reported that most patients demonstrate poor inhaler technique, which has resulted in poor disease control. Digital Health applications have the potential to improve the technique and adherence of inhaled medications.

Objective

This study aimed to validate the effectiveness of the BreatheSuite MDI device in assessing the technique of taking a dose via an MDI.

Methods

The study was a validation study. Thirty participants who self-reported a diagnosis of asthma or COPD were recruited from community pharmacies in Newfoundland and Labrador, Canada. Participants used a BreatheSuite MDI device attached to a placebo MDI and resembled taking 3 doses. Pharmacists used a scoring sheet to evaluate the technique of using the MDI. An independent researcher compared the results of the pharmacist’s scoring sheet with the results of the BreatheSuite device.

Results

This study found that the BreatheSuite MDI can objectively detect several errors in the MDI technique. The data recorded by the BreatheSuite MDI device showed that all participants performed at least one error in using the MDI. The BreatheSuite device captured approximately 40% (143/360) more errors compared to observation alone. The distribution of participants who performed errors in MDI steps as recorded by BreatheSuite compared to errors reported by observation alone were as follows: shaking before actuation, 33.3% (30/90) versus 25.5% (23/90); upright orientation of the inhaler during actuation, 66.7% (60/90) versus 18.87% (17/90); coordination (actuating after the start of inhalation), 76.6% (69/90) versus 35.5% (32/90); and duration of inspiration, 96.7% (87/90) versus 34.4% (31/90).

Conclusions

The BreatheSuite MDI can objectively detect several errors in the MDI technique, which were missed by observation alone. It has the potential to enhance treatment outcomes among patients with chronic lung diseases.

Concurrent Improvement Observed in Patient-Reported Burden and Sensor-Collected Medication Use Among Patients Enrolled in a COPD Digital Health Program

Background: The COPD assessment test (CAT) is an 8-item questionnaire widely used in clinical practice to assess patient burden of disease. Digital health platforms that leverage electronic medication monitors (EMMs) are used to track the time and date of maintenance and short-acting beta-agonist (SABA) inhaler medication use and record patient-reported outcomes. The study examined changes in CAT and SABA inhaler use in COPD to determine whether passively collected SABA and CAT scores changed in a parallel manner.

Methods: Patients with self-reported COPD enrolled in a digital health program, which provided EMMs to track SABA and maintenance inhaler use, and a companion smartphone application (“app”) to provide medication feedback and reminders. Patients completing the CAT questionnaire in the app at enrollment and at 6 months were included in the analysis. Changes in CAT burden category [by the minimally important difference (MID)] and changes in EMM-recorded mean SABA inhaler use per day were quantified at baseline and 6 months.

Results: The analysis included 611 patients. At 6 months, mean CAT improved by −0.9 (95% CI: −1.4, −0.4; p < 0.001) points, and mean SABA use decreased by −0.6 (−0.8, −0.4; p < 0.001) puffs/day. Among patients with higher burden (CAT ≥ 21) at enrollment, CAT improved by −2.0 (−2.6, −1.4; p < 0.001) points, and SABA use decreased by −0.8 (−1.1, −0.6; p < 0.001) puffs/day.

Conclusion: Significant and parallel improvement in CAT scores and SABA use at 6 months were noted among patients enrolled in a digital health program, with greater improvement for patients with higher disease burden.

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.

Sociodemographic Characteristics and Physical Activity in Patients with COPD: A 3-Month Cohort Study

Decreased physical activity (PA) is associated with morbidity and mortality in COPD patients. In this secondary analysis of data from a 12-week longitudinal study, we describe factors associated with PA in COPD. Participants completed the Physical Activity Checklist (PAC) daily for a 7- to 8-day period. PA was measured monthly using the Physical Activity Scale for the Elderly (PASE). At three different time points, daily step count was measured for one week with an Omron HJ-720ITC pedometer. The 35 participants were primarily male (94%) and White (91%), with an average age of 66.5 years and FEV₁ 44.9% predicted. Common activities reported on the PAC were walking (93%), preparing a meal (89%), and traveling by vehicle (96%). PA measured by both PASE score (p = 0.01) and average daily step count (p = 0.04) decreased during follow-up. In repeated measures multivariable modeling, participants living with others had a higher daily step count (ß = 942 steps, p = 0.01) and better PASE scores (ß = 46.4, p < 0.001). Older age was associated with decreased step count (ß = -77 steps, p < 0.001) whereas White race was associated with lower PASE scores (ß = -55.4, p < 0.001) compared to non-White race. Other demographic factors, quality of life, and medications were not associated with PA. A better understanding of the role of social networks and social support may help develop interventions to improve PA in COPD.

Need for clarifying remote physiologic monitoring reimbursement during the COVID-19 pandemic: a respiratory disease case study

The use of remote monitoring and virtual visits has accelerated to support socially-distanced patient care during the COVID-19 pandemic. Despite the necessity of this expansion, ambiguity in coding is hindering adoption and patient access, most notably for remote physiologic monitoring due to a lack of definition of the term “physiologic”. In this analysis, we describe the history of remote monitoring code development, present several examples in respiratory disease and other chronic conditions in which gaps and confusion remain and suggest ways to clarify and broaden coverage to ensure equitable access to remote monitoring.

The Impact of Budesonide/Formoterol pMDI Medication Reminders on Adherence in Chronic Obstructive Pulmonary Disease (COPD) Patients: Results of a Randomized, Phase 4, Clinical Study

Purpose

Among patients with chronic obstructive pulmonary disease (COPD), adherence to inhaled medication leads to fewer exacerbations and improved health status. The goal of the present study was to evaluate the effects of medication reminders via the BreatheMate device on adherence in patients with COPD.

Patients and Methods

A 6-month, phase 4, randomized, multicenter, open-label US study (NCT02864342) enrolled 138 patients aged ≥40 years with moderate to very severe COPD and ≥10 pack-year smoking history. Patients in the intervention (n = 68) and control (n = 70) groups received the BreatheMate device, smartphone application, and vouchers to redeem pressurized metered-dose inhalers (pMDIs) for the prescribed 2 puffs of budesonide/formoterol 160/4.5 μg twice daily. The intervention group also received twice-daily electronic reminders to take budesonide/formoterol. The primary endpoint was the mean number of sets of adherent puffs/day (4 puffs: 2 puffs within 60 minutes, twice daily) over 6 months. Secondary endpoints included adherence by three 60-day intervals, usage days, prescription refills, and Clinical COPD Questionnaire (CCQ) score. Study enrollment terminated early due to issues with inconsistent syncing.

Results

A higher mean proportion of adherent days (77.6% vs 60.2%; P <0.001) and sets of adherent puffs/day (1.61 vs 1.33; P <0.001) were recorded for the intervention group versus the control group. Intervention group adherence was higher than that of the control group for each 60-day interval (P <0.001); the intervention group was 3.07 (95% confidence interval: 1.49–6.52) times more likely than the control group to be adherent for ≥80% of study days. Overuse (>2 sets of 2 puffs/day), underuse (<2 sets of 2 puffs/day), and no use days were lower in the intervention group versus control (P <0.05). Patients aged ≥65 years had higher adherence (P <0.001).

Conclusion

Medication reminders through the BreatheMate device and application produced greater adherence to inhaled therapy in patients with COPD.

Characteristics and challenges of the clinical pipeline of digital therapeutics

In this Comment, we characterize the current pipeline of digital therapeutics and offer a clinical perspective into the advantages, challenges, and barriers to implementation of this treatment modality for patient care, which we hope will inform future regulatory policy, prescribing decisions, and scope of real-world evidence collection.

Unreported and Overlooked: A Post Hoc Analysis of COPD Symptom-Related Attacks from the RISE Study

Purpose

Moderate and severe COPD exacerbations are a significant health-care burden, but patients also experience "mild" exacerbations, or COPD symptom-related attacks, which often go unreported. We aimed to define and then determine the incidence of COPD symptom-related attacks and their impact on future risk of moderate/severe exacerbations, health-related quality of life (HRQoL), and lung function. The effect of COPD maintenance therapy on the attack definition was then evaluated by comparing budesonide/formoterol with formoterol alone.

Patients and Methods

This post hoc analysis of the RISE study defined COPD symptom-related attacks as ≥2 consecutive days of both worsening symptoms and increased daily rescue medication use based upon thresholds of >2 and >4 short-acting β2-agonist (SABA) inhalations/day above baseline. The impact of these events on subsequent moderate/severe exacerbation risk was estimated using a time-varying Cox proportional hazards model. The effects of COPD symptom-related attacks on St George's Respiratory Questionnaire (SGRQ) total score and pre-bronchodilator forced expiratory volume in 1 second (FEV1) were evaluated as average changes from baseline to first post-attack measurement. Rates of attacks were compared between treatment groups using negative binomial regression models.

Results

COPD symptom-related attacks elevated the risk of subsequent moderate/severe exacerbations at both >2 and >4 inhalations/day above baseline (HR 1.86 and 2.21, respectively; p<0.0001), with a cumulative increase in risk with increasing attacks. HRQoL and lung function were reduced for patients with ≥1 versus no COPD symptom-related attacks at both rescue medication thresholds. There were fewer COPD symptom-related attacks with budesonide/formoterol versus formoterol alone, with no increased risk of pneumonia and lower respiratory tract infections.

Conclusion

COPD symptom-related attacks are common and typically unreported. Importantly, these attacks can account for considerable morbidity and should not be regarded as "mild". Detection of such exacerbations may be valuable in identifying patients at greater risk and guiding preventive therapeutic interventions.

Association between self-reported moderate to vigorous physical activity and the rate of outpatient treated COPD exacerbations: retrospective cohort study

Introduction

Little has been published regarding the relationship between physical activity (PA) and outpatient treated, mild to moderate acute exacerbation of chronic obstructive pulmonary disease exacerbations (AECOPD). The purpose of this study was to determine the association between self-reported PA and outpatient treated AECOPD over 2 years using real-world data obtained from existing electronic medical records (EMRs).

Methods

We included 44 896 patients with a chronic obstructive pulmonary disease diagnosis from the EMR in this retrospective cohort study. Moderate to vigorous PA was measured via patient self-report, obtained during routine clinical care; patients were classified as inactive (0 min/week), insufficiently active (1–149 min/week) or active (≥150 min/week). AECOPDs were measured using both encounter and prescription fill (antibiotics and/or oral steroids) data. We used Poisson regression models to compare the unadjusted and adjusted rates of outpatient treated AECOPD over 2 years across the PA categories.

Results

In adjusted models, the 2-year AECOPD incidence rate ratio (IRR) was not different between the inactive and insufficiently inactive groups (IRR 0.98, 95% CI 0.96 to 1.01) and only marginally meaningful lower for the active group (IRR 0.97, 95% CI 0.95 to 0.98). Sensitivity analyses of patients meeting or not meeting obstructive criteria produced similar results with generally weak or non-significant associations.

Conclusion

The lack of an association between PA and AECOPD contrasts with previous published findings of a strong relationship between moderate to vigorous PA and hospitalisations for severe AECOPD. This difference could partially be attributed to the imprecision of our measurements for both the exposure and outcome.

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.

Passive Monitoring of Short-Acting Beta-Agonist Use via Digital Platform in Patients With Chronic Obstructive Pulmonary Disease: Quality Improvement Retrospective Analysis

BACKGROUND

Digital health programs assist patients with chronic obstructive pulmonary disease (COPD) to better manage their disease. Technological and adoption barriers have been perceived as a limitation.

OBJECTIVE

The aim of the research was to evaluate a digital quality improvement pilot in Medicare-eligible patients with COPD.

METHODS

COPD patients were enrolled in a digital platform to help manage their medications and symptoms as part of their routine clinical care. Patients were provided with electronic medication monitors (EMMs) to monitor short-acting beta-agonist (SABA) use passively and a smartphone app to track use trends and receive feedback. Providers also had access to data collected via a secure website and were sent email notifications if a patient had a significant change in their prescribed inhaler use. Providers then determined if follow-up was needed. Change in SABA use and feasibility outcomes were evaluated at 3, 6, and 12 months.

RESULTS

A total of 190 patients enrolled in the pilot. At 3, 6, and 12 months, patients recorded significant reductions in daily and nighttime SABA use and increases in SABA-free days (all P<.001). Patient engagement, as measured by the ratio of daily active use to monthly active use, was >90% at both 6 and 12 months. Retention at 6 months was 81% (154/190). Providers were sent on average two email notifications per patient during the 12-month program.

CONCLUSIONS

A digital health program integrated as part of standard clinical practice was feasible and had low provider burden. The pilot demonstrated significant reduction in SABA use and increased SABA-free days among Medicare-eligible COPD patients. Further, patients readily adopted the digital platform and demonstrated strong engagement and retention rates at 6 and 12 months.

Electronic inhaler monitoring and healthcare utilization in chronic obstructive pulmonary disease

INTRODUCTION

The effect of electronic inhaler monitoring (EIM) on healthcare utilization in chronic obstructive pulmonary disease (COPD) has not been studied. We hypothesized that the use of EIM in conjunction with a disease management program reduces healthcare utilization in patients with COPD.

METHODS

This is a retrospective pre- and post-analysis of a quality improvement project. Patients with COPD and high healthcare utilization (≥one hospitalization or emergency room visit during the year prior to enrolment) were provided with electronic monitoring devices for monitoring controller and rescue inhaler utilization for one year. Patients were contacted when alerts were triggered, indicating suboptimal adherence to controller inhaler or increased use of rescue inhalers, potentially signalling an impending exacerbation. Healthcare utilization was assessed pre- and post-monitoring, with each subject serving as his/her own control.

RESULTS

Patients with COPD and high healthcare utilization (n = 39) were recruited. Mean EIM duration was 280.5 (±120.6) days. The mean age was 68.6 (±9.9) years, FEV1 (mean forced expiratory volume in one second) was 1.1 (±0.4) L, and mean Charlson Comorbidity index was 5.6 (±2.7). Average adherence was 44.4% (28.4%). Compared with the year prior to enrolment, EIM was associated with a reduction in COPD-related healthcare utilization per year (2.2 (±2.3) versus 3.4 (±3.2), p = 0.01). Although there was a reduction in all-cause healthcare utilization, this was not statistically significant (3.4 (±2.6) versus 4.7 (±4.1), p = 0.06).

DISCUSSION

EIM in conjunction with a disease management program may play a role in reducing healthcare utilization in COPD patients with a history of high healthcare utilization.

Real-world use of rescue inhaler sensors, electronic symptom questionnaires and physical activity monitors in COPD

Background

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterised by airflow obstruction and other morbidities such as respiratory symptoms, reduced physical activity and frequent bronchodilator use. Recent advances in personal digital monitoring devices can permit continuous collection of these data in COPD patients, but the relationships among them are not well understood.

Methods

184 individuals from a single centre of the COPDGene cohort agreed to participate in this 3-week observational study. Each participant used a smartphone to complete a daily symptom diary (EXAcerbations of Chronic pulmonary disease Tool, EXACT), wore a wrist-worn accelerometer to record continuously physical activity and completed the Clinical Visit PROactive Physical Activity in COPD questionnaire. 58 users of metered dose inhalers for rescue (albuterol) were provided with an inhaler sensor, which time stamped each inhaler actuation.

Results

Rescue inhaler use was strongly correlated with E-RS:COPD score, while step counts were correlated with neither rescue use nor E-RS:COPD score. Frequent, unpatterned inhaler use pattern was associated with worse respiratory symptoms and less physical activity compared with frequent inhaler use with a regular daily pattern. There was a strong week-by-week correlation among measurements, suggesting that 1 week of monitoring is sufficient to characterise stable patients with COPD.

Discussion

The study highlights the interaction and relevance of personal real-time monitoring of respiratory symptoms, physical activity and rescue medication in patients with COPD. Additionally, visual displays of longitudinal data may be helpful for disease management to help drive conversations between patients and caregivers and for risk-based monitoring in clinical trials.

Design Choices for Automated Disease Surveillance in the Social Web

The social web has emerged as a dominant information architecture accelerating technology innovation on an unprecedented scale. The utility of these developments to public health use cases like disease surveillance, information dissemination, outbreak prediction and so forth has been widely investigated and variously demonstrated in work spanning several published experimental studies and deployed systems. In this paper we provide an overview of automated disease surveillance efforts based on the social web characterized by their different high level design choices regarding functional aspects like user participation and language parsing approaches. We briefly discuss the technical rationale and practical implications of these different choices in addition to the key limitations associated with these systems within the context of operable disease surveillance. We hope this can offer some technical guidance to multi-disciplinary teams on how best to implement, interpret and evaluate disease surveillance programs based on the social web.

Association of ambient pollution with inhaler use among patients with COPD: a panel study

BACKGROUND

Studies have linked ambient air pollution to chronic obstructive pulmonary disease (COPD) healthcare encounters. However, the association between air quality and rescue medication use is unknown.

OBJECTIVES

We assessed the role of air pollution exposure for increased short-acting beta-2-agonist (SABA) use in patients with COPD through use of remote monitoring technology.

METHODS

Participants received a portable electronic inhaler sensor to record the date, time and location for SABA use over a 3-month period. Ambient air pollution data and meteorological data were collected from a centrally located federal monitoring station. Mixed-effects Poisson regression was used to examine the association of daily inhaler use with pollutant levels. Four criteria pollutants (PM_2.5, PM₁₀, O₃ and NO₂), two particulate matter species (elemental carbon (EC) and organic carbon), estimated coarse fraction of PM₁₀ (PM_10-2.5) and four multipollutant air quality measures were each examined separately, adjusting for covariates that passed a false discovery rate (FDR) screening.

RESULTS

We enrolled 35 patients with COPD (94.3% male and mean age: 66.5±8.5) with a mean forced expiratory volume in 1 s (FEV₁) % predicted of 44.9+17.2. Participants had a median of 92 observation days (range 52-109). Participants' average SABA inhaler use ranged from 0.4 to 13.1 puffs/day (median 2.8). Controlling for supplemental oxygen use, long-acting anticholinergic use, modified Medical Research Council Dyspnoea Scale and influenza season, an IQR increase in PM₁₀ concentration (8.0 µg/m³) was associated with a 6.6% increase in daily puffs (95% CI 3.5% to 9.9%; FDR <0.001). NO₂ and EC concentration were also significantly associated with inhaler use (3.9% and 2.9% per IQR increase, respectively).

CONCLUSIONS

Exposure to increased ambient air pollution were associated with a significant increase in SABA use for patients with COPD residing in a low-pollution area.