Seasonal patterns of Asthma medication fills among diverse populations of the United States

A comparative analysis of medication counting methods to assess polypharmacy in medico-administrative databases

BACKGROUND

The variety of methods for counting medications may lead to confusion when attempting to compare the extent of polypharmacy across different populations.

OBJECTIVE

To compare the prevalence estimates of polypharmacy derived from medico-administrative databases, using different methods for counting medications.

METHODS

Data were drawn from the Québec Integrated Chronic Disease Surveillance System. A random sample of 110,000 individuals aged >65 was selected, including only those who were alive and covered by the public drug plan during the one-year follow-up. We used six methods to count medications: #1-cumulative one-year count, #2-average of four quarters' cumulative counts, #3-count on a single day, #4-count of medications used in first and fourth quarters, #5-count weighted by duration of exposure, and #6-count of uninterrupted medication use. Polypharmacy was defined as ≥5 medications. Cohen's Kappa was calculated to assess the level of agreement between the methods.

RESULTS

A total of 93,516 (85 %) individuals were included. The prevalence of polypharmacy varied across methods. The highest prevalence was observed with cumulative methods (#1:74.1 %; #2:61.4 %). Single day count (#3:47.6 %), first and fourth quarters count (#4:49.5 %), and weighted count (#5:46.6 %) yielded similar results. The uninterrupted use count yielded the lowest estimate (#6:35.4 %). The weighted method (#5) showed strong agreement with the first and fourth quarters count (#4). Cumulative methods identified higher proportions of younger, less multimorbid individuals compared to other methods.

CONCLUSION

Counting methods significantly affect polypharmacy prevalence estimates, necessitating their consideration when comparing and interpretating results.

Asthma and COPD: Comparison with International Guidelines and Medication Adherence in Belgium

Asthma and chronic obstructive pulmonary disease (COPD) are major chronic conditions. It is possible to limit their impact by controlling symptoms, which limits exacerbations and worsening of the disease, by choosing the appropriate treatment and ensuring that the patient adheres to it. The main purpose of this study was to assess medication adherence and persistence with inhaled medications for chronic treatment of asthma and COPD, as well as to evaluate the factors influencing this adherence. Medication adherence was measured from January 2013 to December 2016 using continuous multiple-interval measures of medication availability (CMA). Persistence was evaluated by treatment episodes (TE). We analyzed the influence of different factors on CMA such as sex, age, type of device, and the realization of the "new medicines service" (NMS), introduced in Belgium in October 2013 to support patients in adhering to their treatment. We also analyzed the consumption of these inhaled medications within the Belgian population and compared them with the Global Initiative for Asthma (GINA) and the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendations. Medication adherence varied greatly between the different pharmacological classes: inhaled corticosteroids (ICS) alone or in combination with long-acting beta agonists (LABA) had the lowest medication adherence and persistence, while adherence was highest for the long-acting muscarinic antagonists (LAMA) and LABA/LAMA associations. The NMS seemed to have a positive impact on medication adherence, although few patients completed the two guidance interviews offered by the service. In addition, only a minority of the targeted patients took advantage of this new service.

Occurrence, consumption level, fate and ecotoxicology risk of beta-agonist pharmaceuticals in a wastewater treatment plant in Eastern China

Beta-agonist pharmaceuticals are widely used in humans and livestock for disease treatment, legal or illegal growth promotion in food animals, bodybuilding, weight loss, and sports doping. The occurrence of beta-agonists in wastewater treatment plants and their subsequent environmental impacts require greater attention. This study determined the levels of 12 beta-agonists in a wastewater treatment plant and evaluated their ecotoxicological risks as well as consumption levels and risks to human health. Among the 12 selected beta-agonists, all were detected in wastewater and 11 in sludge. In most cases, the concentrations of beta-agonists were higher in spring than in summer. Their total average daily mass loads per capita in the influent and effluent were 1.35 μg/d/p and 2.11 μg/d/p, respectively. The overall removal efficiencies of individual beta-agonists ranged from -295.3 to 71.2%. Ecotoxicological risk assessment revealed a low risk to daphnid and green algae from the levels of fenoterol and the mixture of 12 selected beta-agonists in the effluent. The daily consumption levels of individual beta-agonists per capita were 0.028-1.200 μg/d/p. Regular monitoring of beta-agonists in municipal sewage systems and their risk assessment based on toxicological data are urgently required in the future.

Improving Medication Adherence in Asthma

In little over a generation, the ingenuity of scientists and clinician researchers has developed inhaled medications and pathway-specific biological agents that control the inflammation and physiology of asthma. Unfortunately, whether it is because of cost or difficulty understanding why or how to use inhaled medications, patients often do not take these medications. The consequences of poor treatment adherence, loss of control and exacerbations, are the same as if the condition remained untreated. Furthermore, poor adherence is difficult to detect without direct measurement. Together this means that poor treatment adherence is easily overlooked and, instead of addressing the cause of poor adherence, additional medicines may be prescribed. In other words, poor treatment adherence is a risk for the patient and adds cost to healthcare systems. In this article, we discuss the rationale for and the delivery of successful interventions to improve medication adherence in asthma. We contextualize these interventions by describing the causes of poor treatment adherence and how adherence is assessed. Finally, future perspectives on the design of new interventions are described.

Patterns and predictors of air purifier adherence in children with asthma living in low-income, urban households

OBJECTIVE

Black children and children from low-income communities are disproportionately affected by asthma, attributed partly to pollution exposure. Air purifiers reduce indoor air pollution and improve asthma symptoms in children. In order to implement air purifier interventions, an understanding of patterns of use and potential barriers is necessary.

METHODS

In a home intervention study, 127 children with asthma living in Baltimore were randomized to receive two active or two placebo air purifiers. The 16-week study period included: baseline clinic visit, home visit for air purifier installation (active or placebo) with instruction to use the high or turbo settings, and electronic adherence monitoring of air purifiers. Determinants of adherence were identified using linear regression models.

RESULTS

Air purifiers were used 80% of the time, and participants demonstrated adherence to high or turbo settings for 60% of the time. In an adjusted model, season was the major determinant of air purifier adherence, with 21% lower use in the winter (p = 0.025) attributed to the cold draft generated by the machine.

CONCLUSION

In a clinical trial with electronic adherence monitoring, air purifier use was high and participants were adherent to use of high or turbo settings the majority of the time. Addressing practical barriers to consistent use, such as draft during the winter, in addition to financial barriers may improve air purifier adherence among children with asthma living in low-income, urban households.

CLINICAL TRIALS REGISTRY NUMBER

NCT02763917.

Usage Patterns of Short-Acting β2-Agonists and Inhaled Corticosteroids in Asthma: A Targeted Literature Review

Despite the availability of effective asthma treatments, some patients are poorly controlled because of overreliance on short-acting β₂-agonists (SABAs) and underuse of inhaled corticosteroids (ICSs). To identify patient characteristics and outcomes associated with SABA overreliance and ICS underuse, we conducted a targeted literature review of the quantitative evidence on asthma medication use. Articles evaluating SABA and/or ICS use in patients with asthma (aged ≥12 years), published between January 2012 and March 2018, were identified using MEDLINE and EMBASE. We observed that studies classified SABA usage as "overuse," "high use," "excess use," "extreme overuse," "suboptimal use," and "inappropriate use." Multiple thresholds were used to define overuse of SABA (≥3 to ≥12 canisters/y). SABA overreliance was prevalent, with approximately 20% of adults using 3 or more canisters per year (≥12 inhalations/wk). Similarly, inappropriate ICS use, classified as "suboptimal," "high use," "underuse," and "unlicensed use," was defined by varying thresholds. Specific patient populations, such as older adults, smokers, and patients with low income, were more susceptible to SABA overreliance and ICS underuse. Overreliance on SABAs was associated with increased risk of severe exacerbations, asthma-related hospitalizations, emergency department visits, and asthma-related costs. These findings emphasize the prevalence and related burden of SABA overreliance at the potential expense of appropriate ICS use.

Chronic lifestyle diseases display seasonal sensitive comorbid trend in human population evidence from Google Trends

Seasonal and human physiological changes are important factors in the development of many diseases. But, the study of genuine seasonal impact on these diseases is difficult to measure due to many other environment and lifestyle factors which directly affect these diseases. However, several clinical studies have been conducted in different parts of the world, and it has clearly indicated that certain groups of population are highly subjected to seasonal changes, and their maladaptation can possibly lead to several disorders/diseases. Thus, it is crucial to study the significant seasonal sensitive diseases spread across the human population. To narrow down these disorders/diseases, the study hypothesized that high altitude (HA) associated diseases and disorders are of the strong variants of seasonal physiologic changes. It is because, HA is the only geographical condition for which humans can develop very efficient physiological adaptation mechanism called acclimatization. To study this hypothesis, PubMed was used to collect the HA associated symptoms and disorders. Disease Ontology based semantic similarity network (DSN) and disease-drug networks were constructed to narrow down the benchmark diseases and disorders of HA. The DSN which was further subjected to different community structure analysis uncovered the highly associated or possible comorbid diseases of HA. The predicted 12 lifestyle diseases were assumed to be “seasonal (sensitive) comorbid lifestyle diseases (SCLD)”. A time series analyses on Google Search data of the world from 2004–2016 was conducted to investigate whether the 12 lifestyle diseases have seasonal patterns. Because, the trends were sensitive to the term used as benchmark; the temporal relationships among the 12 disease search volumes and their temporal sequences similarity by dynamic time warping analyses was used to predict the comorbid diseases. Among the 12 lifestyle diseases, the study provides an indirect evidence in the existence of severe seasonal comorbidity among hypertension, obesity, asthma and fibrosis diseases, which is widespread in the world population. Thus, the present study has successfully addressed this issue by predicting the SCLD, and indirectly verified them among the world population using Google Search Trend. Furthermore, based on the SCLD seasonal trend, the study also classified them as severe, moderate, and mild. Interestingly, seasonal trends of the severe seasonal comorbid diseases displayed an inverse pattern between USA (Northern hemisphere) and New Zealand (Southern hemisphere). Further, knowledge in the so called “seasonal sensitive populations” physiological response to seasonal triggers such as winter, summer, spring, and autumn become crucial to modulate disease incidence, disease course, or clinical prevention.

Spatial analysis of disparities in asthma treatment among adult asthmatics

BACKGROUND

Spatial analytic techniques can uncover important differences in asthma treatment and identify geographic areas with poor asthma management.

OBJECTIVE

To review geographical differences in asthma treatment in an adult asthmatic population.

METHODS

This was a retrospective, cross-sectional chart review study (n = 519) using Geographic Information System approaches to determine the impact of spatial access to pharmacies and other factors on inappropriate rescue and inadequate controller medication use. Statistical analyses included chi-square test for categorical variables and Kruskall-Wallis test for continuous variables. Logistic regression was used to determine unadjusted and adjusted odds of inappropriate and inadequate pharmaceutical management of asthma based upon distance to pharmacy and other factors. Choropleth maps were constructed to display zip code level variation of asthma management.

RESULTS

Inappropriate medication users lived further from their preferred pharmacy compared to appropriate users (median distances of 3.02 and 1.96 miles respectively; p = 0.01). Inappropriate and inadequate management of asthma varied by zip code, ranging from 5.5 to 17.3% and 25.0-59.6%, respectively. A statistically significant difference in appropriate use by age was found, with nearly 17% of adults age 65 and older overusing their rescue inhaler. Conversely, patients age 18-34 years, 35-49 years, and 50-64 years, used their controller medications inadequately (64.2%, 57.3%, and 48.2%, respectively) compared to 42.5% of patients aged 65 and older. Unadjusted and adjusted analyses showed that former smokers had higher odds of inadequate management of asthma.

CONCLUSION

The unadjusted findings suggest that distance to pharmacies may play a role in the pharmaceutical management of asthma, though these findings are explained by confounding factors. Future research should continue to explore the effect of spatial access to pharmacies on chronic disease management and the role that maps can play in guiding medication management interventions in a larger sample to allow for more rigorous analysis.