Patient-physician communication about work-related asthma: what we do and do not know

Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients

BACKGROUND

Asthma has been identified as different phenotypes due to various risk factors. Age differences may have potential effects on asthma phenotypes. Our study aimed to identify potential asthma phenotypes among adults divided by age as either younger or older than 65 years. We also compared differences in blood granulocyte patterns, occupational asthmagens, and asthma control-related outcomes among patient phenotype clusters.

METHODS

We recruited nonelderly (<65 years old) (n = 726) and elderly adults (≥65 years old) (n = 201) with mild-to-severe asthma. We conducted a factor analysis to select 17 variables. A two-step cluster analysis was used to classify subjects with asthma phenotypes, and a discriminant analysis was used to verify the classification of cluster results.

RESULTS

There were three clusters with different characteristics identified in both the nonelderly and elderly asthmatic adults. In the nonelderly patient group, cluster 2 (obese, neutrophilic phenotypes) had a 1.85-fold significantly increased risk of asthma exacerbations. Cluster 3 (early-onset, atopy, and smoker with an eosinophil-predominant pattern) had a 2.37-fold risk of asthma exacerbations and higher oral corticosteroid (OCS) use than cluster 1 (late-onset and LMW exposure with paucigranulocytic blood pattern). Among elderly patients, cluster 2 had poor lung function and more ex-smokers. Cluster 3 (early-onset, long asthma duration) had the lowest paucigranulocytic blood pattern percentages in the elderly group.

CONCLUSIONS

The novelty of the clusters was found in age-dependent clusters. We identified three distinct phenotypes with heterogeneous characteristics, asthma exacerbations and medicine use in nonelderly and elderly asthmatic patients, respectively. Classification of age-stratified asthma phenotypes may lead to precise identification of patients, which provides personalized disease management.

Occupational Contributions to Respiratory Health Disparities

Occupation is an important contributor to disparities in respiratory disease, affecting financial status, health-care access, and exposure to hazardous substances. Although occupation and associated exposures are included in the socioecological models, work exposures remain persistently absent from research on health inequities and their contribution to health. This article focuses on the occupational contribution to disparities in asthma, chronic obstructive pulmonary disease, silicosis, coronavirus disease 2019, and lung cancer. Because occupational exposures are largely preventable through proper workplace controls, the recognition of occupational causes of disease can provide an opportunity for interventions to bring about health equity.

Cardiovascular Disease Among Adults With Work-Related Asthma, 2012-2017

INTRODUCTION

Asthma is associated with an increased risk for cardiovascular disease, and adults with persistent, severe asthma have a significantly higher risk of cardiovascular disease than adults with intermittent or no asthma.

METHODS

The objective of this cross-sectional study was to assess the association between work-related asthma status and cardiovascular disease among ever-employed adults (aged 18-64 years) with current asthma using data from the 2012-2017 Behavioral Risk Factor Surveillance System Asthma Call-Back Survey from 37 states and the District of Columbia. Weighted prevalence ratios and 95% CIs, adjusted for age, sex, race/ethnicity, education, household income, smoking status, chronic obstructive pulmonary disease, diabetes, and BMI, were calculated. In addition, the associations of cardiovascular disease with adverse asthma outcomes and asthma control among adults with work-related asthma were examined. Analyses were conducted in 2021.

RESULTS

Among an estimated annualized 14.8 million ever-employed adults aged 18-64 years with current asthma, adults with work-related asthma (prevalence ratio=1.5; 95% CI=1.2, 1.8) and possible work-related asthma (prevalence ratio=1.2; 95% CI=1.0, 1.5) were significantly more likely to have cardiovascular disease than adults with non-work-related asthma. Among adults with work-related asthma, those with very poorly controlled asthma (prevalence ratio=1.8; 95% CI=1.3, 2.5) and an asthma-related emergency room visit (prevalence ratio=1.5; 95% CI=1.1, 2.0) were significantly more likely to have cardiovascular disease.

CONCLUSIONS

Adults with work-related asthma were more likely to have cardiovascular disease than those with non-work-related asthma. Primary prevention, early diagnosis, and implementation of optimal work-related asthma management are essential for workers' health. Cardiovascular disease should be considered where appropriate when diagnosing and recommending treatment and interventions for adults with work-related asthma.

Managing asthma in primary healthcare

Asthma brings considerable challenges for family doctors because of its variety of shapes, different levels of severity, a wide age range, and the fact that in the last decades clinicians are able to offer much better treatment options with a better level of disease control and a higher quality of life. The objectives of the current review article are to provide an up-to-date review by primary care respiratory leaders from different countries of the most significant challenges regarding asthma diagnosis and management, the importance of team work and the problems in recognizing and dealing with difficult-to-manage and severe asthma in primary care. The article provides a short review of the main challenges faced by family physicians and other primary health care professionals in supporting their patients in the management of asthma, such as asthma diagnosis, promoting access to spirometry, the importance of a multiprofessional team for the management of asthma, how to organize an asthma review, the promotion of patient autonomy and shared decision-making, improving the use of inhalers, the importance of the personalized asthma action plan, dealing with difficult-to-manage and severe asthma in primary care and choosing when, where and how to refer patients with severe asthma. The article also discusses the development of an integrated approach to asthma care in the community and the promotion of Asthma Right Care.

Long-Term Follow-Up of Cluster-Based Diisocyanate Asthma Phenotypes

BACKGROUND

Data on the outcome of occupational asthma (OA) are heterogeneous.

OBJECTIVE

To assess the impact of being part of a specific cluster at diagnosis on the long-term outcome of diisocyanate-induced OA.

METHODS

We collected data from 56 patients who had a diagnosis of OA confirmed by a positive specific inhalation challenge. Patients sensitized to toluene diisocyanate were allocated to cluster 1 or 2 based on a tree analysis, using the 3 variables relevant for cluster segregation identified in a previous study: age, body mass index, and forced expiratory volume in 1 second/forced vital capacity at diagnosis. Patients sensitized to methylene diisocyanate were allocated to cluster 3, as in previous study. We defined OA remission when a patient had met a total of 3 criteria: no asthma symptoms and no antiasthma therapy for the last year, as well as having normal lung function.

RESULTS

At follow-up, 16 patients showed OA remission. They exhibited better lung function, less bronchial hyperreactivity, as well as younger age at diagnosis. Twenty-eight patients were allocated to cluster 1, 10 to cluster 2, and 18 to cluster 3. The percentage of patients with OA remission was higher in cluster 2 (50% vs 25% in cluster 1 and 22.5% in cluster 3), although the difference was not statistically significant (P = .2789).

CONCLUSIONS

Age at diagnosis was a strong predictor of OA remission. The outcome of diisocyanate OA tended to be more favorable for patients with toluene diisocyanate OA allocated in cluster 2, but this finding needs to be validated by further data.

Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings

BACKGROUND

Although patients who work and have related health issues are usually first seen in primary care, providers in these settings do not routinely ask questions about work. Guidelines to help manage such patients are rarely used in primary care. Electronic health record (EHR) systems with worker health clinical decision support (CDS) tools have potential for assisting these practices.

OBJECTIVE

This study aimed to identify the need for, and barriers and facilitators related to, implementation of CDS tools for the clinical management of working patients in a variety of primary care settings.

METHODS

We used a qualitative design that included analysis of interview transcripts and observational field notes from 10 clinics in five organizations.

RESULTS

We interviewed 83 providers, staff members, managers, informatics and information technology experts, and leaders and spent 35 hours observing. We identified eight themes in four categories related to CDS for worker health (operational issues, usefulness of proposed CDS, effort and time-related issues, and topic-specific issues). These categories were classified as facilitators or barriers to the use of the CDS tools. Facilitators related to operational issues include current technical feasibility and new work patterns associated with the coordinated care model. Facilitators concerning usefulness include users' need for awareness and evidence-based tools, appropriateness of the proposed CDS for their patients, and the benefits of population health data. Barriers that are effort-related include additional time this proposed CDS might take, and other pressing organizational priorities. Barriers that are topic-specific include sensitive issues related to health and work and the complexities of information about work.

CONCLUSION

We discovered several themes not previously described that can guide future CDS development: technical feasibility of the proposed CDS within commercial EHRs, the sensitive nature of some CDS content, and the need to assist the entire health care team in managing worker health.

Improving detection of work-related asthma: a review of gaps in awareness, reporting and knowledge translation

Background

Work-related asthma (WRA) accounts for up to 25% of all adults with asthma. Early diagnosis is key for optimal management as delays in diagnosis are associated with worse outcomes. However, WRA is significantly underreported and the median time to diagnosis is 4 years. The objective of this review is to identify the gaps in awareness and reporting of WRA and identify gaps in current knowledge translation strategies for chronic disease in general, and asthma specifically. This will identify reasons for delays in WRA diagnosis, as well inform suggestions to improve knowledge translation strategies for dissemination and implementation of WRA prevention and management guidelines.

Methods

Non-systematic literature reviews were conducted on PubMed with a focus on work-related asthma screening and diagnosis, and knowledge translation or translational medicine research in asthma and chronic disease. In total, 3571 titles and abstracts were reviewed with no restriction on date published. Of those, 207 were relevant and fully read. Another 37 articles were included and reviewed after citation reviews of articles from the initial search and from suggestions from editors. In total, 63 articles were included in the final review.

Results

Patients, employers, and healthcare professionals lack awareness and under-report WRA which contribute to the delayed diagnosis of WRA, primarily through lack of education, stigma associated with WRA, and lack of awareness and screening in primary care. Knowledge translation strategies for asthma research typically involve the creation of guidelines for diagnosis of the disease, asthma care plans and tools for education and management. While there are some prevention programs in place for certain industries, gaps in knowledge translation strategies including lack of screening tools currently available for WRA, poor education of employers and physicians in identifying WRA, and education of patients is often done post-diagnosis and focuses on management rather than prevention or screening.

Conclusion

Future knowledge translation strategies should focus on educating employees and employers well before potential exposure to agents associated with WRA and screening for WRA in primary care to enable health care providers to recognize and diagnose WRA.

Use of population data for assessing trends in work-related asthma mortality

PURPOSE OF REVIEW

Work-related asthma has been associated with poorer asthma control and frequent unscheduled healthcare visits, and can be fatal. Case reports of work-related asthma deaths are rare, but can initiate efforts to prevent additional cases. We reviewed relevant literature and data sources to evaluate whether analyzing mortality data at the population level can help identify potential sources of exposures that contribute to work-related asthma.

RECENT FINDINGS

A limited number of population-based studies have addressed work-related asthma mortality. Data on asthma mortality are derived from death certificates using the International Classification of Diseases (ICD) as a standard for coding cause. However, no discrete code for work-related asthma is available. Analysis of asthma mortality relative to industries and occupations appears to identify high-risk jobs that were not identified by analyzing asthma morbidity data.

SUMMARY

Beyond recognized work-related asthma deaths, it is possible that occupational exposures have contributed to other asthma deaths that have gone unnoticed and could potentially be identified by the analysis of mortality data at the population level. Such analyses in the United States appear to assist in recognizing high-risk occupations and industries. Additional analyses would be possible if a work-related asthma ICD code were available.

Update on the Management of Occupational Asthma and Work-Exacerbated Asthma

Work-related asthma is the most common occupational lung disease encountered in clinical practice. In adult asthmatics, work-relatedness can account for 15%-33% of cases, but delays in diagnosis remain common and lead to worse outcomes. Accurate diagnosis of asthma is the first step to managing occupational asthma, which can be sensitizer-induced or irritant-induced asthma. While latency has traditionally been recognized as a hallmark of sensitizer-induced asthma and rapid-onset a defining feature of irritant-induced asthma (as in Reactive Airway Dysfunction Syndrome), there is epidemiological evidence for irritant-induced asthma with latency from chronic moderate exposure. Diagnostic testing while the patient is still in the workplace significantly improves sensitivity. While specific inhalational challenges remain the gold-standard for the diagnosis of occupational asthma, they are not available outside of specialized centers. Commonly available tests including bronchoprovocation challenges and peak flow monitoring are important tools for practicing clinicians. Management of sensitizer-induced occupational asthma is notable for the central importance of removal from the causative agent: ideally, removal of the culprit agent; but if not feasible, this may require changes in the work process or ultimately, removal of the worker from the workplace. While workers' compensation programs may reduce income loss, these are not universal and there can be significant socio-economic impact from work-related asthma. Primary prevention remains the preferred method of reducing the burden of occupational asthma, which may include modification to work processes, better worker education and substitution of sensitizing agents from the workplace with safer compounds.

Airway diseases and health literacy (HL) measurement tools: A systematic review to inform respiratory research and practice

OBJECTIVE

To identify and evaluate asthma/COPD measurement tools that assess any of the five health literacy (HL) domains: (1) access, (2) understand, (3) evaluate, (4) communicate, and (5) use, as well as numeracy.

METHODS

MEDLINE/Embase (via Ovid) databases from 1974 to 2016 were searched and complimented by grey literature. Study selection and data extraction were conducted by two reviewers independently.

RESULTS

We identified 65 tools including 40 asthma, 22 COPD, and 3 asthma/COPD focused tools. Thirty tools had been validated and two assessed all five domains. The 'understand' domain was captured in 49 tools, followed by 'access' in 29 tools, 'use' in 24 tools, 'evaluate' in 20 tools, and 'communicate' in 10 tools. Two tools assessed 'numeracy'. Tool content comprised disease physiology, triggers, symptoms, inhaler technique, self-management practices, and rehab programs.

CONCLUSIONS

This review highlights paucity of HL tools that have been validated and/or assess the 'communicate' domain and makes a valuable contribution to filling an existing research gap in the field of HL by determining the deficiencies of such tools.

PRACTICE IMPLICATIONS

Our review uncovers which HL domains are under-measured, justifying the need to develop an airways HL measurement tool which applies the 5-domain model for asthma/COPD management.

Recommendations for a Clinical Decision Support System for Work-Related Asthma in Primary Care Settings

OBJECTIVE

The aim of this study was to describe a recommended clinical decision support (CDS) approach for work-related asthma for incorporation in electronic health records (EHRs) for primary care health care providers.

METHODS

Subject matter experts convened by the American Thoracic Society reviewed available guidelines and published literature to develop specific recommendations.

RESULTS

It is important to recognize possible work-related asthma among persons with new-onset or worsening asthma. The work group recommends incorporating three simple questions about temporal relations between asthma symptoms and work in EHR systems and identified specific clinical conditions to trigger this intervention. Patients with positive responses to the three questions should have the asthma diagnosis documented and have further evaluation, education, and possible referral.

CONCLUSION

An effective CDS system for improving recognition of work-related asthma may help reduce morbidity and mortality of asthma in adults.

Studying Readiness for Clinical Decision Support for Worker Health Using the Rapid Assessment Process and Mixed Methods Interviews

To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design.

National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS)

Background

The Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys--conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions.

Methods

This article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data.

Results

Compared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method.

Conclusions

The new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.