Use of National Asthma Guidelines by Allergists and Pulmonologists: A National Survey

Applying the dissemination and implementation sciences to allergy and immunology: A Work Group Report from the AAAAI Quality, Adherence, and Outcomes Committee

Translating evidence-based practice (EBP) into real-world clinical settings often takes a considerable amount of time and resources. In allergy and immunology, the dissemination and implementation (D&I) sciences facilitate the study of how variations in knowledge, resources, patient populations, and staffing models lead to differences in the clinical care of asthma, allergic disease, and primary immunodeficiency. Despite the need for validated approaches to study how to best apply EBP in the real world, the D&I sciences are underutilized. To address this gap, an American Academy of Allergy, Asthma & Immunology (AAAAI) work group was convened to provide an overview for the role of the D&I sciences in clinical care and future research within the field. For the D&I sciences to be leveraged effectively, teams should be multidisciplinary and inclusive of community and clinical partners, and multimethods approaches to data collection and analyses should be used. Used appropriately, the D&I sciences provide important tools to promote EBP and health equity as well as optimization of clinical practice in allergy and immunology.

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient. While many interventions targeting other factors exist, less attention is given to inappropriate ICS choice. Asthma is a heterogeneous disease with variable underlying inflammations and biomarkers. Up to 50% of people with asthma exhibit some degree of resistance or insensitivity to certain ICSs due to genetic variations in ICS metabolizing enzymes, leading to variable responses to ICSs. Yet, ICS choice, especially in the primary care setting, is often not tailored to the patient's characteristics. Instead, ICS choice is largely by trial and error and often dictated by insurance reimbursement, organizational prescribing policies, or cost, leading to a one-size-fits-all approach with many patients not achieving optimal control. There is a pressing need for a decision support tool that can predict an effective ICS at the point of care and guide providers to select the ICS that will most likely and quickly ease patient symptoms and improve asthma control. To date, no such tool exists. Predicting which patient will respond well to which ICS is the first step toward developing such a tool. However, no study has predicted ICS response, forming a gap. While the biologic heterogeneity of asthma is vast, few, if any, biomarkers and genotypes can be used to systematically profile all patients with asthma and predict ICS response. As endotyping or genotyping all patients is infeasible, readily available electronic health record data collected during clinical care offer a low-cost, reliable, and more holistic way to profile all patients. In this paper, we point out the need for developing a decision support tool to guide ICS selection and the gap in fulfilling the need. Then we outline an approach to close this gap via creating a machine learning model and applying causal inference to predict a patient's ICS response in the next year based on the patient's characteristics. The model uses electronic health record data to characterize all patients and extract patterns that could mirror endotype or genotype. This paper supplies a roadmap for future research, with the eventual goal of shifting asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources.

Environmental management of asthma in clinical practice: Results from the 2012 National Ambulatory Medical Care Survey

Background

The National Asthma Education and Prevention Program guidelines emphasize environmental control as an integral part of asthma management; however, limited national-level data exist on how clinicians implement environmental control recommendations.

Objective

We analyzed data on clinicians' self-reported use of recommended environmental control practices in a nationally representative sample (n = 1645) of primary care physicians, asthma specialists, and advanced practice providers from the National Asthma Survey of Physicians, a supplemental questionnaire to the 2012 National Ambulatory Medical Care Survey.

Methods

We examined clinician and practice characteristics as well as clinicians' decisions and strategies regarding environmental trigger assessment and environmental control across provider groups. Regression modeling was used to identify clinician and practice characteristics associated with implementation of guideline recommendations.

Results

A higher percentage of specialists assessed asthma triggers at home, school, and/or work than primary care or advanced practice providers (almost always: 53.6% vs 29.4% and 23.7%, respectively, P < .001). Almost all clinicians (>93%) recommended avoidance of secondhand tobacco smoke, whereas recommendations regarding cooking appliances (eg, proper ventilation) were infrequent. Although assessment and recommendation practices differed between clinician groups, modeling results showed that clinicians who reported almost always assessing asthma control were 5- to 6-fold more likely to assess environmental asthma triggers. Use of asthma action plans was also strongly associated with implementation of environmental control recommendations.

Conclusions

Environmental assessment and recommendations to patients varied among asthma care providers. High adherence to other key guideline components, such as assessing asthma control, was associated with environmental assessment and recommendation practices on environmental control.

Nationwide survey of physicians' familiarity and awareness of diabetes guidelines in China: a cross-sectional study

OBJECTIVE

This study aims to investigate physicians' familiarity and awareness of four diabetes guidelines and their practice of the recommendations outlined in these guidelines.

DESIGN

A cross-sectional study.

SETTING

An online questionnaire survey was conducted among physicians affiliated with the Specialist Committee for Primary Diabetes Care of China Association of Chinese Medicine, using the snowball sampling method to ensure a broader representation of physicians.

PARTICIPANTS

1150 physicians from 192 cities across 30 provinces in China provided complete data.

RESULTS

Tertiary care hospital physicians (TCPs) exhibited the highest familiarity with the Guideline for the Prevention and Treatment of Type 2 Diabetes Mellitus in China (91.3%), followed by the National Guidelines for the Prevention and Control of Diabetes in Primary Care (76.8%), the Standards of Medical Care in Diabetes (72.2%) and the Guidelines for Prevention and Treatment of Diabetes in Chinese Medicine (63.8%). Primary care practitioners (PCPs) exhibited familiarity with these four guidelines at about 50% or less. Self-reported reference to modern diabetes guidelines by physicians is more frequent than traditional Chinese medicine (TCM) diabetes guidelines, with rates at 73.2% and 33.8%, respectively. Approximately 90% of physicians provided instructions on self-monitoring of blood glucose to their patients with diabetes. Less than one-third of physicians referred patients to a specialised nutritionist. In terms of health education management, TCPs reported having a diabetes health management team at the rate of 75.7%, followed by secondary care hospital physicians at 57.0% and PCPs at 27.5%. Furthermore, approximately 40% of physicians did not fully grasp hypoglycaemia characteristics.

CONCLUSIONS

Familiarity and awareness of the screening guidelines varied among physicians in different hospital settings. Importantly, significant discrepancies were observed between physicians' awareness and their self-reported reference to modern medicine guidelines and TCM guidelines. It is essential to consistently provide education and training on diabetes management for all physicians, particularly PCPs.

Cost of Serum Versus Skin Allergy Testing Among Medicare Fee-for-Service Beneficiaries in the United States

Background: Testing for allergic sensitization can be achieved similarly via skin or serum specific immunoglobulin E (sIgE) testing, although the costs of each method differ. Objective: This study compared cost and utilization of allergy testing utilizing skin vs sIgE testing and whether equal access (parity) to both testing methods affects overall allergy testing costs among Medicare fee-for-service beneficiaries in the United States. Methods: Allergy test utilization and payment data were analyzed using 100% 2019 Medicare fee-for-service claims data. Beneficiaries with any sIgE test, skin prick test, or intradermal skin test associated with ICD-10 codes of allergic rhinitis, asthma, and food allergy were included. Aggregate and per-beneficiary testing cost, number of allergens tested, and number of allergy-related specialist visits incurred were estimated by the testing patterns of sIgE only, skin prick only, intradermal only, skin prick and intradermal, and sIgE plus prick and/or intradermal. Medicare Administrative Contractors (MACs) with parity for all allergy tests and those which restricted sIgE testing were compared. Multivariate linear regression was performed on the association between testing patterns and each cost and utilization measure, controlling for parity, age, sex, race/ethnicity, and dual-eligible status. Results: We analyzed 270 831 patients and 327 263 allergy-related claims. Total payment for all allergy tests was $71 380 866, including $15 903 954 for sIgE tests, $42 223 930 for skin prick tests, and $13 252 982 for intradermal tests. Beneficiaries receiving sIgE tests had only 1.8 fewer allergist visits than those with skin prick tests only (0.8 vs 2.6). Cost of testing per beneficiary was also lower in sIgE testing only compared with skin prick tests only ($161 vs $247). Multivariable regression results showed per-beneficiary payments for allergy testing were on average $22 lower in MACs with parity compared with MACs without parity. Discussion: Serum specific IgE testing is associated with lower costs and fewer allergy specialist visits compared with skin testing. Insurance coverage with parity toward sIgE and skin testing is associated with lower overall costs of allergy testing. Conclusion: Among Medicare fee-for-service beneficiaries in the United States, sIgE testing may be more cost effective compared with skin testing in the management of allergic disease.

Understanding decision-making and educational need in the management of pediatric patients with moderate-to-severe asthma: analysis of a US-based clinician survey

BACKGROUND

Asthma creates a substantial burden on the pediatric healthcare system, particularly by those with moderate-to-severe disease. As few studies have been published specific to clinician evaluation and management of this population, this analysis serves to begin to identify educational needs and potential clinical impact.

METHODS

We conducted a case-based survey of US general pediatric (n = 227), allergy (n = 158), and pediatric pulmonology (n = 70) clinicians to understand the current approach to management of pediatric patients with moderate-to-severe asthma.

RESULTS

Results show inconsistencies in guideline adherence, identification of disease severity and control, referral practices, and knowledge of phenotypes, which may impact clinical decision making. While most clinicians refer to guidelines when managing pediatric patients with moderate-to-severe asthma, there is no preferred set, and they find the guidelines to be moderately useful. General pediatricians are more likely than specialists to have difficulty distinguishing control and severity and may not be familiar with the concept of asthma phenotype. Most surveyed pediatricians indicated they refer patients to a specialist, but did not always do so in the cases. Clinicians have little consensus on the best approach to manage patients with uncontrolled symptoms after optimized therapy. Many clinicians may have uncertainty about how elevated eosinophils or FeNO could affect patient management. Further, there may be gaps in incorporating parents and pediatric patients into shared decision-making in their care.

CONCLUSIONS

Understanding the needs of those managing patients with moderate-to-severe asthma is critical to developing effective continuing education activities to improve patient outcomes.

Racial Inequities in Asthma Care

Racial inequities in asthma care are evolving as a recognized factor in long-standing inequities in asthma outcomes (e.g., hospitalization and mortality). Little research has been conducted regarding the presence or absence of racial inequities among patients seen in asthma specialist settings, this is an important area of future research given that asthma specialist care is recommended for patients experiencing the poor asthma outcomes disproportionately experienced by Black and Hispanic patients. This study provides a systematic review of racial asthma care inequities in asthma epidemiology, clinical assessment, medication prescription, and asthma specialist referral practices.

How Do Pediatricians Diagnose Asthma in Tertiary Care Hospitals?

Objective: There is a lot of disparity in the guidelines and the practice of pediatricians globally for diagnosing asthma in children. To find out if pediatricians are diagnosing asthma in children according to best standard practices.

Methodology: A cross-sectional study was conducted at tertiary care hospitals' emergency and outpatient departments (OPDs). All the parents accompanying the asthmatic children to the emergency or outpatient departments of the tertiary care hospitals were asked questions regarding the diagnosis of their children's asthma on a prescribed performa. This performa had all the components of the best standard practices for the diagnosis of asthma in children. The data were entered into SPSS version 27 (SPSS Inc., Chicago, IL) and analyzed.

Results: Among the 234 children, the diagnosis of asthma was based on only one component out of three, i.e., recurrence (100%) of symptoms or signs. The objective measurement of the second component, i.e., reversibility with a peak flow meter (PFM) or spirometry, was assessed in only 6% of children. The third component, i.e., the presence of inflammation, was not assessed at all (0.0%).

Conclusions: The diagnosis of asthma in children lacks precision. This is far from the evidence-based best standard practices. There is a need to provide motivation, training, and equipment to the staff.

Artificial Intelligence Assesses Clinicians' Adherence to Asthma Guidelines Using Electronic Health Records

BACKGROUND

Clinicians' asthma guideline adherence in asthma care is suboptimal. The effort to improve adherence can be enhanced by assessing and monitoring clinicians' adherence to guidelines reflected in electronic health records (EHRs), which require costly manual chart review because many care elements cannot be identified by structured data.

OBJECTIVE

This study was designed to demonstrate the feasibility of an artificial intelligence tool using natural language processing (NLP) leveraging the free text EHRs of pediatric patients to extract key components of the 2007 National Asthma Education and Prevention Program guidelines.

METHODS

This is a retrospective cross-sectional study using a birth cohort with a diagnosis of asthma at Mayo Clinic between 2003 and 2016. We used 1,039 clinical notes with an asthma diagnosis from a random sample of 300 patients. Rule-based NLP algorithms were developed to identify asthma guideline-congruent elements by examining care description in EHR free text.

RESULTS

Natural language processing algorithms demonstrated a sensitivity (0.82-1.0), specificity (0.95-1.0), positive predictive value (0.86-1.0), and negative predictive value (0.92-1.0) against manual chart review for asthma guideline-congruent elements. Assessing medication compliance and inhaler technique assessment were the most challenging elements to assess because of the complexity and wide variety of descriptions.

CONCLUSIONS

Natural language processing technologies may enable the automated assessment of clinicians' documentation in EHRs regarding adherence to asthma guidelines and can be a useful population management and research tool to assess and monitor asthma care quality. Multisite studies with a larger sample size are needed to assess the generalizability of these NLP algorithms.

Association of Asthma Exacerbation Risk and Physician Time Expenditure With Provision of Asthma Action Plans and Education for Pediatric Patients

OBJECTIVE

To provide information about factors underlying provision of asthma action plans (AAPs) to a minority of pediatric patients with asthma, assess whether risk of exacerbation acts on provision of AAP and asthma education directly, suggesting targeting to highest-risk patients, or indirectly by influencing physician-patient interaction time.

METHODS

This study was a retrospective cross-sectional analysis of a nationally representative sample of physician office visits that consisted of patients aged 2 to 18 years with asthma. Exacerbation risk comprised proxy indicators of control and severity. Direct and time-mediated effects of exacerbation risk on provision of AAP and education were calculated from logistic regression models.

RESULTS

Asthma action plans were provided in 14.3% of visits, education in 23.9%. Total direct effects of exacerbation risk (ORs = 3.88-4.69) far exceeded indirect, time-mediated effects (both ORs = 1.03) on AAPs. Direct effects on education were similar but smaller. After adjusting for risk, physician time expenditure of ≥30 minutes was associated with nearly doubled odds of providing AAP or education (ORs = 1.90-1.99). Visits that included allied health professionals alongside physician care were significantly associated with all 4 outcomes in multivariate analyses (ORs = 3.06-5.28).

CONCLUSIONS

Exacerbation risk has a strong, direct association with AAP provision in pediatric asthma, even controlling for physician time expenditure. Provision of AAP and education to pediatric patients with asthma may be facilitated by increasing available time for office visits and involving allied health professionals.

Uncontrolled Asthma: Unmet Needs in the Management of Patients

The recent scientific research has provided clinicians with the tools for substantially upgrading the standard of care in the field of bronchial asthma. Nevertheless, satisfactory asthma control still remains an unmet need worldwide. Identifying the major determinants of poor control in different asthma severity levels represents the first step towards the improvement of the overall patients' management. The present review aims to provide an overview of the main unmet needs in asthma control and of the potential tools for overcoming the issue. Implementing a personalized medicine approach is essential, not only in terms of pharmacological treatments, biologic drugs or sophisticated biomarkers. In fact, exploring the complex profile of each patient, from his inflammation phenotype to his preferences and expectations, may help in filling the gap between the big potential of currently available treatments and the overall unsatisfactory asthma control. Telemedicine and e-health technologies may provide a strategy to both optimize disease assessment on a regular basis and enhance patients' empowerment in managing their asthma. Increasing patients' awareness as well as the physicians' knowledge about asthma phenotypes and treatment options besides corticosteroid probably represent the key and more difficult goals of all the players involved in asthma management at every level.

ICS/formoterol in the management of asthma in the clinical practice of pulmonologists: an international survey on GINA strategy

BACKGROUND

The treatment with short-acting beta-2 agonists (SABA) alone is no longer recommended due to safety issues. Instead, the current Global Initiative for Asthma (GINA) Report recommends the use of the combination of inhaled corticosteroids (ICS) with the rapid/long-acting beta-2 agonist formoterol, although the use in steps 1 and 2 is still off-label in the EU and in many countries. It is important to understand clinicians' knowledge and opinions on the issue with the ultimate goal to encourage the implementation of the new approach in clinical practice.

METHODS

We performed an international survey, directed to pulmonologists interested in the management of patients with asthma.

RESULTS

Most participants reported that SABA alone should not be used in GINA Step 1 asthma treatment. As-needed low-dose ICS/formoterol combination to patients in step 1, and as-needed low-dose ICS/formoterol as reliever therapy in any step were found to be of current use prescribed in their real-life settings. SABA alone was still prescribed to a proportion of patients, although the pulmonologists' opinion was that it should no longer be used.

CONCLUSIONS

Most specialists are up to date and understand the relevance of the changes in GINA reports from 2019. Nevertheless, dissemination and implementation of GINA novel management strategy is still needed.