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Background: ASTHMAXcel PRO, an enhanced version of the ASTHMAXcel mobile application, has been developed to deliver comprehensive, guideline-based asthma education while also facilitating the collection of patient-reported outcomes (PROs) and enhancing user experience., Objective: To perform field testing and conduct formative and summative evaluation of the ASTHMAXcel PRO application to assess its impact on patient satisfaction, usability, and usage., Methods: Twenty-eight adult patients completed a baseline visit during which ASTHMAXcel PRO was introduced, health literacy was assessed, and demographic data were collected. They were instructed to use the app for 4 weeks. The Questionnaire for User Interface Satisfaction (QUIS) and the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire were administered at baseline and 4 weeks to assess user satisfaction and technology acceptance, respectively. Semi-structured interviews were conducted to gather feedback regarding the application from patients., Results: The baseline total scores were high for both UTAUT and QUIS (mean (SD): 64.2 (10.1), 6.8 (2.2) respectively) indicating that user satisfaction and acceptance began at high levels. UTAUT total score, as well as all domain scores, improved significantly from baseline to 4 weeks ( p < 0.02). QUIS total score along with several domain scores (screen, system capabilities, usability) also increased from baseline to 4-weeks ( p = 0.03, 0.01, 0.03, 0.01, respectively). These improvements remained significant when adjusting for age, gender, education, and health literacy. Patients reported that the application was helpful, informative, and easy to understand and use., Conclusion: The significant increases in satisfaction and technology adoption observed among ASTHMAXcel PRO users demonstrate that the application is viable and has the potential to improve upon usability challenges faced by existing mobile health applications.

The COVID-19 pandemic led to widespread disruption and termination of clinical research and a prompt adoption of mobile health (mHealth) technologies in the healthcare space. As the United States' healthcare system has rapidly become reliant on remotely conducted activities, the implementation of decentralized methods using mHealth technology in research investigation has become a necessary alternative to traditional in-person cohort studies. The aim of this article is to: report successful and unsuccessful examples of remote asthma clinical studies, explore the benefits and potential drawbacks of virtual clinical investigation, discuss the potential impact on equity and representation in asthma research, and provide suggestions through which investigators can implement decentralized clinical trials. Enhanced study accessibility, participant diversity, safety measures, and research efficacy are some of the benefits identified with a focused discussion on the impact on equity that decentralized clinical trials renders. Furthermore, potential concerns regarding regulatory compliance, data privacy, and effective mHealth design and solutions are discussed. Despite the setbacks and interruptions faced by the study participants and investigators due to the pandemic, the transition to decentralized clinical studies using mHealth technology is a positive, feasible step toward innovation and equity in the allergy and immunology field.

Objective: ASTHMAXcel © is a mobile application previously shown to improve asthma knowledge, control, and quality of life. In this study, we translated the application to Marathi for pilot testing in Pune, India in order to evaluate its impact on user satisfaction and asthma knowledge among adult asthma patients., Methods: ASTHMAXcel © was adapted to Marathi with the help of asthma patients and clinicians from Bharati Hospital. 57 different asthma patients were then recruited and received the Asthma Knowledge Questionnaire (AKQ), Asthma Control Questionnaire (ACQ), and Mini Asthma Quality of Life Questionnaire (Mini-AQLQ) to complete at baseline. Study participants then completed the adapted ASTHMAXcel © application. Post-intervention, participants filled out a post-AKQ and Questionnaire for User Interface Satisfaction (QUIS). A subset of participants was also interviewed for qualitative feedback. Paired t-tests and Pearson's correlation were used for statistical analysis., Results: Mean AKQ improved from 5.0+/-2.4 to 12.4+/-1.6 ( p  = 0.0001). QUIS results revealed that participants were highly satisfied with the application, scoring an average of 50 out of 54 maximum points. Better baseline asthma control was correlated with greater overall experience with the application (-0.110, p  = 0.0417). Finally, the qualitative feedback revealed four themes for future refinement., Conclusion: The adapted version of ASTHMAXcel © was linked to significant improvement in patient asthma knowledge and a high level of user satisfaction. These results support the potential utility of mHealth applications in promoting guideline-based asthma care in India. However, further studies are needed to establish a causal relationship between ASTHMAXcel © and improved clinical outcomes.

Introduction: The burden of asthma morbidity with co-existing atopy among the racial/ethnic minorities in the socio-economically disadvantaged NYC borough of the Bronx is unusually high. The multidisciplinary Montefiore Asthma Center (MAC) provides guideline-based treatment to this high-risk population through the joint efforts of Allergists/Immunologists, Pulmonologists, and on-site health educators., Methods: The objective of this prospective, observational study was to define the demographic and clinical characteristics of severe asthma, evaluate improvement in asthma severity and lung function through the course of treatment at the MAC, and describe the asthma phenotypes of the patients managed at the MAC. Adults with severe asthma receiving treatment at the MAC were followed from their first to their last visit at the MAC. Patient demographics, along with asthma severity and co-existing allergies, were assessed. Possible phenotypes were defined (based on presence or absence of atopy, age at asthma onset, and blood eosinophil counts)., Results: 227 patients were included in the final analysis, of which 55.5% were Hispanic and 33.9% identified as non-Hispanic Black. Ninety-one percent (91%) of our cohort was found to be atopic and allergic rhinoconjunctivitis (ARC) was the most commonly identified co-existing allergic condition (86.3%). Mean Asthma Control Test (ACT) scores improved from 11.1 (± 4.9) at the initial visit to 14.8 (± 6.1) at the last visit. The spirometric values did not improve despite treatment at MAC., Conclusion: A multidisciplinary severe asthma center is an ideal setting to phenotype patients and offer personalized guideline-based management and education to adults with severe asthma.

Objective: We sought to compare the impact of ASTHMAXcel, a novel, guideline-based, patient-facing mobile app to human-delivered asthma education. Methods: We conducted a focus group with asthma patients in the Bronx to identify desired mobile app features. ASTHMAXcel was designed based on patient feedback and consistent with NAEPP, BTS/SIGN, and GINA guidelines. The app was reviewed by internists, allergist/immunologists, and pulmonologists specializing in asthma treatment, asthma educators, and a behavioral scientist, and iteratively refined. The refined version of ASTHMAXcel was administered once via tablet at our outpatient Montefiore Asthma Center (MAC). Asthma knowledge was measured through the Asthma Knowledge Questionnaire (AKQ) pre and post-intervention. We also recorded process outcomes including completion time and patient satisfaction. In parallel, human-delivered education was delivered once at MAC. These outcomes were similarly collected. Results: 60 patients were enrolled with 30 in the ASTHMAXcel and 30 in the human-educator group. Mean AKQ in the ASTHMAXcel group vs human-educator group pre-intervention was 9.9 vs 10.5, p  = 0.27. Mean AKQ post-intervention in the ASTHMAXcel group vs human-educator group was 12.3 vs 14.4, p  = 0.0002. The mean AKQ improvement for both groups were 2.4 vs 3.9, p  = 0.007. Patients were highly satisfied in the ASTHMAXcel group scoring on average 27.9 out of 30 maximum points on the satisfaction survey. There was no difference in satisfaction scores or completion times (minutes) of either intervention. Conclusion: ASTHMAXcel was associated with an increase in AKQ, but the human-educator group experienced a greater improvement. ASTHMAXcel demonstrated no differences in process outcomes vs human-delivered education.

Objective: To evaluate how asthma-related emergency department visits (AREDV), air pollutant levels, pollen counts, and weather variables changed from 2001 to 2008 in the Bronx, NY. Methods: 42,065 daily AREDV values (1 January 2001 to 31 December 2008) were collected using our institution's Clinical Looking Glass software. Daily values of sulfur dioxide (SO 2 ), carbon monoxide (CO), ozone (O 3 ), nitrogen dioxide (NO 2 ), temperature, and humidity were obtained from the National Climatic Data Center's Bronx station. Daily tree pollen counts were obtained from the Armonk counting station near the Bronx. Median values for each variable were analyzed using the Mann-Whitney test to compare 2001-2004 and 2005-2008 values. Simple linear regression examined associations between AREDV and individual pollutants. Due to seasonal variations of the variables, each season was considered separately. Results: There were significant decreases for AREDV, SO 2 , CO, and humidity for all seasons, and for NO 2 in the spring and winter. Significant increases occurred for O 3 in the spring, fall, and winter; for temperature in the summer and winter; and for tree pollen in the spring. Significant positive associations were found between AREDV and SO 2 , CO, NO 2 , and humidity, respectively, while significant negative associations were found between AREDV and O 3 and temperature, respectively. Conclusions: From 2001 to 2008, significant: a) decreases in AREDV, SO 2 , CO, and humidity for all seasons, and decreases in NO 2 for the spring and winter; and b) increases in O 3 , temperature, and spring tree pollen were observed. By tracking and anticipating environmental and pollutant changes, efforts can be made to minimize AREDV.

Objective : To better understand how meteorological variables, air quality variables, and pollen counts collectively contribute to asthma-related emergency department visits (AREDV) and asthma-related hospitalizations (ARH) among pediatric and adult patients in the New York City borough of the Bronx. Methods : The numbers of daily adult and pediatric AREDV and ARH from 2001 to 2008 were obtained from three Bronx hospitals. After removing outliers, interpolating missing data, and standardizing variable values by scaling the data using z -scores, data were analyzed using Spearman rank tests and linear regression models for the full year and each season. Results : There were a total of 42,065 AREDV and 1,664 ARH at both Bronx hospitals. With the exception of a spring peak in AREDVs, AREDVs and ARHs follow a cyclical pattern, climbing in the fall, plateauing in the winter, dropping in the spring, and reaching a low in the summer. Among the 11 air quality, meteorological, and pollen count variables, temperature and tree pollen made the greatest contribution to AREDV with scaled coefficients of -0.337 and 0.311 respectively; equating to an additional AREDV for every 5.0-unit decrease in temperature and an additional AREDV for every 186.0-unit increase in tree pollen. These two variables were confirmed to have independent associations with AREDV prior to the data interpolation. Grass pollen was also found to have a relatively large contribution to AREDV during the summer with a scaled coefficient of 0.314, equating to an additional AREDV for every 2.3-unit increase in grass pollen. Conclusion : There are distinct peaks of increased AREDVs that are closely associated with increased tree pollen counts in the spring and decreasing temperatures in the fall. Early anticipation of these air quality, meteorological, and pollen factor changes based on ongoing surveillance could potentially guide clinical practice and minimize AREDVs in the Bronx.

Background: Asthma exacerbation patterns are cyclic in nature and often correlate with air particle concentrations., Objective: To examine the relationship between asthma-related emergency department (ED) visits and outdoor air quality for pediatric and adult patients in a high asthma prevalence area, the New York City borough of the Bronx., Methods: Numbers of daily asthma-related adult and pediatric ED visits during one complete year (1999) were obtained from the seven major Bronx hospitals. Daily values of nitrogen oxides (NO(x)), ozone (O(3)), sulfur dioxide (SO(2)), and pollen counts were acquired., Results: Asthma-related ED visit numbers were highest in December-January and lowest in July. There were three distinct peaks of increased asthma ED visits: winter (December-January), spring (late April-May), and fall (October). The spring peak was the most striking and coincided with high tree pollen counts (tree pollen: r = 0.90, p = .03). We observed a positive correlation between asthma ED visits in the winter and SO(2) and NO(x) levels. Winter peaks of SO(2) and NO(x) in early December appeared to precede the winter asthma peak., Conclusions: The spring asthma peak is closely associated with increased tree pollen counts, and the asthma increase at this time is likely due to allergic reactions to pollen. No significant associations could be established with the fall peak. The winter peak correlates with elevated SO(2) and NO(x) levels.