Prescribing Patterns and Treatment Adherence in Patients with Asthma During the COVID-19 Pandemic

Shift in emergency department utilization by frequent attendees with sickle cell disease during the COVID-19 pandemic: A multicentre cohort study

While the coronavirus disease-2019 (COVID-19) might have increased acute episodes in people living with sickle cell disease (SCD), it may also have changed their reliance on emergency department (ED) services. We assessed the impact of the COVID-19 pandemic and lockdowns on ED visits in adult SCD people followed in five French reference centres, with a special focus on 'high users' (≥10 visits in 2019). We analysed the rate of ED visits from 1 January 2015 to 31 December 2021, using a self-controlled case series. Among 1530 people (17 829 ED visits), we observed a significant reduction in ED visits during and after lockdowns, but the effect vanished over time. Compared to pre-pandemic, incidence rate ratios for ED visits were 0.59 [95% CI 0.52-0.67] for the first lockdown, 0.66 [95% CI 0.58-0.75] for the second and 0.85 [95% CI 0.73-0.99] for the third. High users (4% of people but 33.7% of visits) mainly drove the reductions after the first lockdown. COVID-19 lockdowns were associated with reduced ED visits. While most people returned to their baseline utilization by April 2021, high users had a lasting decrease in ED visits. Understanding the factors driving the drop in ED utilization among high users might inform clinical practice and health policy.

An Analysis of Medication Adherence in a Large Outpatient Population During the COVID-19 Pandemic Using a Novel Value-Based Pharmacy System

Background: Adherence to a medication regimen is defined as taking the medication as directed by the prescriber. Adherence is critical to achieve the desired therapeutic outcomes. Medication adherence has not been examined in large outpatient populations since the onset of the COVID-19 pandemic. A novel outpatient value-based pharmacy system (VPS) was used to collect adherence data from a large, outpatient population. The aim of this descriptive study was to analyze the reasons, medication classes, and diagnoses associated with nonadherence. Materials and Methods: Telepharmacist-documented adherence data from a large (n = 6,479) outpatient population that received remote consultation during the COVID-19 pandemic (August 1, 2020-November 28, 2022) were considered for this study. The adherence data were compiled within the VPS. Results: The overall rate of patients reporting at least one incident of nonadherence to their medication regimens was 21.5%. Medications used to treat hypertension, type 2 diabetes, and hyperlipidemia were least adhered to. Statins, beta-2 agonists, and corticosteroids were least adhered to. The most common reasons for nonadherence included knowledge gaps regarding therapy, forgetfulness, and side effects. Discussion: This represents the first descriptive analyses of adherence metrics in a large outpatient population during the COVID-19 pandemic. Polypharmacy, prevalence of diagnosis, and medication side effect profile may have contributed to the results observed. This study demonstrates the ability of a VPS to document key data to better inform the health care team. Elucidating adherence metrics in such populations may allow pharmacists and prescribers to identify subpopulations that require further education and management.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Retrospective cohort analysis of weight changes during the COVID-19 pandemic in a pediatric asthma population

OBJECTIVE

To investigate the BMI trajectories of children attending a tertiary asthma clinic during the COVID-19 pandemic.

METHODS

Data were collected retrospectively on children and young people with asthma who attended the Royal Hospital for Children and Young People (RHCYP) before March 2020 (pre-COVID-19) and after August 2021 (the lifting of national restrictions).

MAIN OUTCOME MEASURES

Changes in weight, height, and BMI Z score measured between 13/03/2019 and 13/03/2020 (timepoint 1) and then again during the period 01/08/2021 to 01/10/2022 (timepoint 2); changes in lung function parameters (FEV1) between the timepoints; proportion of study sample classed as obese and overweight at both timepoints; interaction analyses according to deprivation indices (SIMD decile), the use of high dose inhaled corticosteroid (ICS) therapy, and the presence of atopy.

RESULTS

Eighty-nine children aged 5-18 years were studied. Weight and height Z scores significantly increased between timepoint 1 and 2 [weight Z score: +0.19 (0.08, +0.30), height Z score: +0.15 (+0.07, +0.23)], such that no significant change was observed in the BMI Z score [+ 0.07 (-0.05, +0.20)] or BMI centile [+0.5 (-3.1, +4.1)]. There was also no change in FEV1%predicted [-0.1 (-3.8, +3.6)] between the timepoints.

CONCLUSIONS

No changes in BMI were observed in children with asthma before and after COVID-19 lockdowns. Improved linear growth was noted, implying an improvement in the overall physical health of our study cohort. This may suggest improved asthma control, which may reflect avoidance of viral triggers and/or improved adherence to treatment.

Adherence to inhaled corticosteroids in patients with asthma prior to and during the COVID-19 pandemic

The electronic prescription refill rate (EPRR) of 183 consecutive patients was determined over a 19-month retrospective study period, divided into 7 months PRE (Sep-19 to Mar-20) and 12 months POST pandemic (Apr-20 to Mar-21), in order to compare adherence to inhaled corticosteroids (ICS) in patients with asthma prior to and during the COVID-19 pandemic. Before the pandemic (PRE), an average of 0.58 inhalers/month were refill from the pharmacy; [SD 0.33], very similar to the 0.59 inhalers/month; [SD 0.34] retrieved during the 12 subsequent months since the pandemic (POST) (p = 0.768). EPRR showed no differences (p = 0.784). When EPRR was dichotomous or ordinal categorised no differences were found either (p = 0.851 and 0.928), even when McNemar's test was used (p = 0.949), with prevalences of nonadherence (EPRR < 80%) of 57 and 58% respectively. Our results do not support increased adherence to inhaler treatment in terms of EPRR, comparing before and since COVID-19 pandemic. Compliance with prescription remains suboptimal.

Rebound in asthma exacerbations following relaxation of COVID-19 restrictions: a longitudinal population-based study (COVIDENCE UK)

BACKGROUND

The imposition of restrictions on social mixing early in the COVID-19 pandemic was followed by a reduction in asthma exacerbations in multiple settings internationally. Temporal trends in social mixing, incident acute respiratory infections (ARI) and asthma exacerbations following relaxation of COVID-19 restrictions have not yet been described.

METHODS

We conducted a population-based longitudinal study in 2312 UK adults with asthma between November 2020 and April 2022. Details of face covering use, social mixing, incident ARI and severe asthma exacerbations were collected via monthly online questionnaires. Temporal changes in these parameters were visualised using Poisson generalised additive models. Multilevel logistic regression was used to test for associations between incident ARI and risk of asthma exacerbations, adjusting for potential confounders.

RESULTS

Relaxation of COVID-19 restrictions from April 2021 coincided with reduced face covering use (p<0.001), increased frequency of indoor visits to public places and other households (p<0.001) and rising incidence of COVID-19 (p<0.001), non-COVID-19 ARI (p<0.001) and severe asthma exacerbations (p=0.007). Incident non-COVID-19 ARI associated independently with increased risk of asthma exacerbation (adjusted OR 5.75, 95% CI 4.75 to 6.97) as did incident COVID-19, both prior to emergence of the omicron variant of SARS-CoV-2 (5.89, 3.45 to 10.04) and subsequently (5.69, 3.89 to 8.31).

CONCLUSIONS

Relaxation of COVID-19 restrictions coincided with decreased face covering use, increased social mixing and a rebound in ARI and asthma exacerbations. Associations between incident ARI and risk of severe asthma exacerbation were similar for non-COVID-19 ARI and COVID-19, both before and after emergence of the SARS-CoV-2 omicron variant.

STUDY REGISTRATION NUMBER

NCT04330599.

Suboptimally controlled asthma in patients treated with inhaled ICS/LABA: prevalence, risk factors, and outcomes

This observational claims-linked survey study assessed the prevalence of and risk factors for suboptimal asthma control and healthcare utilization in adults with asthma receiving fixed-dose combination (FDC) inhaled corticosteroid/long-acting β₂-agonist (ICS/LABA). Commercially insured adults from the Optum Research Database were invited to complete the Asthma Control Test (ACT) and Asthma Control Questionnaire-6 (ACQ-6). Among participants (N = 428), 36.4% (ACT-assessed) and 55.6% (ACQ-6-assessed) had inadequately controlled asthma. Asthma-related quality of life was worse and asthma-related healthcare resource utilization was higher in poorly controlled asthma. Factors associated with ACT-defined suboptimal asthma control in multivariate analysis included: frequent short-acting β₂-agonist (SABA) use, asthma-related outpatient visits, lower treatment adherence, and lower education levels. During follow-up, factors associated with asthma exacerbations and/or high SABA use included: inadequately controlled asthma (ACT-assessed), body mass index ≥30 kg/m², and high-dose ICS/LABA. Approximately 35-55% of adults with asthma were inadequately controlled despite FDC ICS/LABA; poor control was associated with worse disease outcomes.

Effectiveness and economic impact of Dupilumab in asthma: a population-based cohort study

RATIONALE

Severe asthma is burdened by relevant socio-economic and clinical impact. Randomized controlled trials on Dupilumab showed efficacy and a good safety profile, but post-market studies are needed.

OBJECTIVES

To evaluate the impact of Dupilumab on (i) the use of anti-asthmatic drugs, including oral corticosteroids (OCS), (ii) the rates of asthma exacerbation-related hospital admissions, and (iii) the healthcare costs in patients with asthma.

METHODS

Data were retrieved from Healthcare Utilization database of Lombardy region (Italy). We compared healthcare resources use between the 6 months after Dupilumab initiation ("post-intervention period") and (i) the 6 months before Dupilumab initiation ("wash-out period") and (ii) the corresponding 6 months of the prior year ("pre-intervention period").

MAIN RESULTS

In a cohort of 176 patients, Dupilumab significantly reduced anti-asthmatic drugs use (including OCS and short-acting β2-agonists, inhaled corticosteroids (ICS)/long-acting β2-agonists and ICS alone) when comparing the "pre-intervention" to the "post-intervention" period. When considering hospital admissions, we observed a not statistically or marginally significant reduction between both periods before Dupilumab and the post-intervention period. Six-months discontinuation rate was 8%. Overall healthcare costs had a tenfold increase between the "pre-intervention" and "post-intervention" period, which was mainly led by the biologic drug cost. Conversely, expenditures connected to hospital admissions did not change.

CONCLUSIONS

Our real-world investigation suggests that Dupilumab reduced anti-asthmatic drugs use, including OCS, in comparison to a corresponding period in the prior year. However, long-term healthcare sustainability remains an open issue.

Impact of COVID-19 Pandemic on Adherence to Chronic Therapies: A Systematic Review

The spread of the coronavirus disease 2019 (COVID-19) pandemic caused a sudden and significant disruption in healthcare services, especially for patients suffering from chronic diseases. We aimed at evaluating the impact of the pandemic on adherence to chronic therapies through a systematic review of available studies. PubMed, EMBASE, and Web of Science were searched since inception to June 2022. Inclusion criteria were: (1) observational studies or surveys; (2) studies on patients with chronic diseases; (3) reporting the effects of COVID-19 pandemic on adherence to chronic pharmacological treatment, as a comparison of adherence during the pandemic period vs. pre-pandemic period (primary outcome) or as rate of treatment discontinuation/delay specifically due to factors linked to COVID-19 (secondary outcome). Findings from 12 (primary outcome) and 24 (secondary outcome) studies showed that many chronic treatments were interrupted or affected by a reduced adherence in the pandemic period, and that fear of infection, difficulty in reaching physicians or healthcare facilities, and unavailability of medication were often reported as reasons for discontinuation or modification of chronic therapies. For other therapies where the patient was not required to attend the clinic, continuity of treatment was sometimes ensured through the use of telemedicine, and the adherence was guaranteed with drug stockpiling. While the effects of the possible worsening of chronic disease management need to be monitored over time, positive strategies should be acknowledged, such as the implementation of e-health tools and the expanded role of community pharmacists, and may play an important role in preserving continuity of care for people with chronic diseases.

Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self-report and physician assessment

BACKGROUND

Previous studies have demonstrated the feasibility of using an asthma app to support medication management and adherence but failed to compare with other measures currently used in clinical practice. However, in a clinical setting, any additional adherence measurement must be evaluated in the context of both the patient and physician perspectives so that it can also help improve the process of shared decision making. Thus, we aimed to compare different measures of adherence to asthma control inhalers in clinical practice, namely through an app, patient self-report and physician assessment.

METHODS

This study is a secondary analysis of three prospective multicentre observational studies with patients (≥13 years old) with persistent asthma recruited from 61 primary and secondary care centres in Portugal. Patients were invited to use the InspirerMundi app and register their inhaled medication. Adherence was measured by the app as the number of doses taken divided by the number of doses scheduled each day and two time points were considered for analysis: 1-week and 1-month. At baseline, patients and physicians independently assessed adherence to asthma control inhalers during the previous week using a Visual Analogue Scale (VAS 0-100).

RESULTS

A total of 193 patients (72% female; median [P25-P75] age 28 [19-41] years old) were included in the analysis. Adherence measured by the app was lower (1 week: 31 [0-71]%; 1 month: 18 [0-48]%) than patient self-report (80 [60-95]) and physician assessment (82 [51-94]) (p < 0.001). A negligible non-significant correlation was found between the app and subjective measurements (ρ 0.118-0.156, p > 0.05). There was a moderate correlation between patient self-report and physician assessment (ρ = 0.596, p < 0.001).

CONCLUSIONS

Adherence measured by the app was lower than that reported by the patient or the physician. This was expected as objective measurements are commonly lower than subjective evaluations, which tend to overestimate adherence. Nevertheless, the low adherence measured by the app may also be influenced by the use of the app itself and this needs to be considered in future studies.

Impact of the COVID-19 Pandemic on the Prescribing of Antiasthmatic Treatments in Portugal: A Nationwide Study

PURPOSE

The coronavirus disease 2019 (COVID-19) pandemic has had a profound impact on everyday life, the environment, and health care services. A shift from in-person medical appointments to telemedicine was a main adjustment. Such changes can have repercussions on the control and management of chronic respiratory diseases, such as asthma. The available data suggest that there was an overall decrease in asthma-related morbidities during the first year of the pandemic. Therefore, the goal of this study was to quantify the effects of the pandemic on the prescribing of antiasthmatic treatments in outpatient care (public and private health care).

METHODS

This before-after study used a time series approach based on data from monthly prescriptions of antiasthmatic drugs (anti-inflammatory drugs and bronchodilators) dated between April 2018 and March 2021. An interrupted time series (ITS) design was used for assessing changes in antiasthmatic prescribing patterns in the short and long terms after COVID-19 was recognized as a pandemic. The results are complemented with seasonal autoregressive integrated moving average (sARIMA) models.

FINDINGS

The ITS analysis showed a non-significant increase in antiasthmatic prescribing in the short term. In the long term, after the pandemic was declared, a statistically significant decrease was observed in the prescribing of antiasthmatics (in anti-inflammatory drugs and, more pronounced, in bronchodilators). In the sARIMA model, the mean monthly volume of antiasthmatic prescriptions was 18.1% lower than predicted. The numbers of months outside of the 95% CIs were different between anti-inflammatory drugs (1 month) and bronchodilators (7 months).

IMPLICATIONS

The prescribing of antiasthmatic drugs in the long term was significantly decreased with the COVID-19 pandemic, with a greater effect in the case of bronchodilators.

Is mild asthma truly mild? The patients' real-life setting

OBJECTIVES

Asthma exacerbations and, more rarely, fatal asthma attacks have been reported in mild asthma patients, suggesting poor disease control and awareness of its potential burden. Our study aimed to explore outside the hospital/specialist setting the perspective and disease treatment behavior of patients self-reporting a mild asthma diagnosis.

METHODS

Computer-Assisted Personal Interviewing (CAPI) technique was used to investigate the identified study population. Questions about diagnosis, symptoms, comorbidities, treatment strategy, ongoing assessments, and quality of life were administered.

RESULTS

Overall, 258 patients were considered for the analysis. As the most relevant results, 22% of them reported severe respiratory symptoms, 52% experienced at least one exacerbation/year, and 7% needed Emergency Room care. Sixty-six percent of the respondents assumed as needing short-acting bronchodilators only. Of note, 22% of patients were using oral steroids (OCS) intermittently and 72% of them considered their quality of life unsatisfying.

CONCLUSION

Outside the hospital/specialist setting, mild asthma burden is still not negligible and the treatment approach is not correct. In particular, the reported OCS use is disproportionate. Our data suggest that mild asthma, especially when self-assessed might be other than mild, suggesting that efforts to increase disease awareness, improve the disease control limiting the OCS abuse are required.

A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic

A machine learning approach is a useful tool for risk-stratifying patients with respiratory symptoms during the COVID-19 pandemic, as it is still evolving. We aimed to verify the predictive capacity of a gradient boosting decision trees (XGboost) algorithm to select the most important predictors including clinical and demographic parameters in patients who sought medical support due to respiratory signs and symptoms (RAPID RISK COVID-19). A total of 7336 patients were enrolled in the study, including 6596 patients that did not require hospitalization and 740 that required hospitalization. We identified that patients with respiratory signs and symptoms, in particular, lower oxyhemoglobin saturation by pulse oximetry (SpO₂) and higher respiratory rate, fever, higher heart rate, and lower levels of blood pressure, associated with age, male sex, and the underlying conditions of diabetes mellitus and hypertension, required hospitalization more often. The predictive model yielded a ROC curve with an area under the curve (AUC) of 0.9181 (95% CI, 0.9001 to 0.9361). In conclusion, our model had a high discriminatory value which enabled the identification of a clinical and demographic profile predictive, preventive, and personalized of COVID-19 severity symptoms.

Impact of the COVID-19 Pandemic on Incidence of Asthma Exacerbations and Hospitalizations in US Subspecialist-Treated Patients with Severe Asthma: Results from the CHRONICLE Study

Purpose

Patients with severe asthma (SA) are at an increased risk of asthma-related hospitalizations and exacerbations. Despite concerns that COVID-19 circulation would increase exacerbations of SA, anecdotal reports suggest that social distancing and exposure avoidance may have led to reduced exacerbations.

Patients and methods

CHRONICLE is an ongoing noninterventional observational study of 3100 subspecialist-treated patients with SA. Eligible adults (≥ 18 years of age) have (1) current use of monoclonal antibody (ie, biologic) therapy for SA, (2) use of maintenance systemic corticosteroids (mSCS) or other systemic immunosuppressants for ≥ 50% of the prior 12 months for SA, or (3) persistently uncontrolled asthma while treated with high-dosage inhaled corticosteroids with additional controllers. For enrolled patients, electronic medical records were reviewed to record all exacerbations and asthma-related hospitalizations. Descriptive analyses were conducted of the monthly incidence of exacerbations, exacerbation-related visits to the emergency department (ED), and asthma hospitalizations from July 2018 through July 2021.

Results

Exacerbations, exacerbation-related ED visits, and hospitalizations decreased since April 2020. Exacerbations in 2020 were 20% to 52% lower in April through August relative to the same months in 2019. Exacerbations remained lower than the prior year through May 2021. Similar results were observed by United States (US) census region, with an earlier decrease in exacerbation rates in the western US versus other regions. Across all months, exacerbation rates were lower among biologic recipients.

Conclusion

In a clinical cohort of subspecialist-treated patients with SA, there was a meaningful reduction in exacerbations, exacerbation-related ED visits, and asthma hospitalizations following COVID-19–related stay-at-home orders and social distancing recommendations. Reasons for these reductions are likely multifactorial, including reduced viral infections due to less social contact and altered patient behavior.

Impact of COVID-19 pandemic on asthma exacerbations: Retrospective cohort study of over 500,000 patients in a national English primary care database

Background

Several countries reported a substantial reduction in asthma exacerbations associated with COVID-19 pandemic-related restrictions. However, it is not known if these early reported declines were short-term and if these have rebounded to pre-pandemic levels following easing of lockdown restrictions.

Methods

We undertook a retrospective, cohort study of all asthma patients in a national primary care database of almost 10 million patients, Optimum Patient Care Database (OPCRD), identified from January 1, 2010, to December 31, 2015, using a previously validated algorithm. We subsequently followed the identified cohort of asthma patients from January 1, 2016, to October 3, 2021, and identified every asthma exacerbation episode with a validated algorithm. To quantify any pandemic-related change in exacerbations, we created a control time-series (mean of 2016-2019) and then compared the change in exacerbation rate in 2020-2021 over quarterly periods when compared with the control period (the pre-pandemic period). We undertook overall and stratified analyses by age group, sex, and English region.

Findings

We identified 100,362 asthma patients (502,669 patient-years) from across England who experienced at least one exacerbation episode (298,390 exacerbation episodes during the entire follow-up). Except for the first quarter of 2020, the exacerbation rates were substantially lower (>25%) during all quarters in 2020-2021 when compared with the rates during 2016-2019 (39.7% (95% Confidence Interval (CI): 34.6, 44.9) in quarter-2, 2020; 46.5% (95%CI: 36.7, 56.4) in quarter-3, 2020; 56.3% (95%CI: 48.7, 63.9) in quarter-4, 2020; 63.2% (95%CI: 53.9, 72.5) in quarter-1, 2021; 57.7% (95%CI: 52.9, 62.4) in quarter-2, 2021; 53.3% (95%CI: 43.8, 62.8) in quarter-3, 2021).

Interpretation

There was a substantial and persistent reduction in asthma exacerbations across England over the first 18 months after the first lockdown. This is unlikely to be adequately explained by changes in health-seeking behaviour, pandemic-related healthcare service disruption, or any air-quality improvements.

Funding

Asthma UK, Health Data Research UK (HDR UK), Medical Research Council (MRC), National Institute for Health Research (NIHR).

Impact of COVID-19 mitigation strategies on asthma hospitalizations in Brazil

Background

In 2020, a unique social experience was provided by the pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2. Interventions to tackle the pandemic may affect the burden of other respiratory diseases.

Objective

This study aims to assess the impact of the COVID-19 mitigation strategies on hospitalizations for asthma in children aged between 1 and 14 years, adults aged between 20 and 59 years, and elderly older than 60 years.

Methods

Data from hospital admissions for asthma were obtained from the Department of Informatics of Brazilian Public Health System database in the period between January 2016 and December 2020 and analyzed by age groups. To evaluate the effect of containment measures on the incidence of asthma and respiratory system diseases (total), the absolute reduction and relative reduction were calculated by analyzing the subsets from 2016 to 2019 versus 2020.

Results

There was a significant reduction in the average incidence of hospitalizations in 2020, with numbers ranging from −59% (incidence rate ratio, 0.41 [0.37-0.45]) for age 1 to 14 years (prepandemic 1,393.2/100,000 vs pandemic 574.9/100.000), −37% (incidence rate ratio, 0.63 [0.49-0.80]) for age 20 to 59 years (prepandemic 160.2/100,000 vs pandemic 101.1/100,000), and −60% (incidence rate ratio, 0.40 [0.33-0.47]) for older than 60 years (prepandemic 460.6/100,000 vs pandemic 185.3/100,000).

Conclusions

Ashtma hospitalizations decreased in 2020, especially in the pediatric group and the older group during the COVID-19 pandemic, which may be associated with the reduction in the incidence of many respiratory viral infections.

Assessing adherence to inhaled therapies in asthma and the emergence of electronic monitoring devices

Infrequent use of inhaled corticosteroids (ICS) and/or over-reliance of short-acting β-agonists (SABA) are recognised as key contributors to increased morbidity and mortality in asthma. The most frequent measures of ICS adherence and SABA use rely on patient-reported questionnaires or prescription refill records, neither of which are considered sufficiently reliable. Technological advancements in the development of electronic monitoring of inhaler devices allow for monitoring of use, as well as recording of and feedback on inhaler technique for some devices. Most electronic monitoring devices (EMDs) are paired with a smartphone application, allowing patients to set reminders and display both preventer and reliever use over time. This allows identification of intentional and unintentional ICS non-adherence as well as frequency of SABA use. This information assists clinicians in distinguishing difficult-to-control from severe asthma. Although additional evidence is required to assess the impact of EMDs on clinical outcome measures such as exacerbation rate, the introduction of EMDs into the asthma armoury is a significant step forward in asthma care with the potential to improve asthma-related outcomes.