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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. [ABSTRACT FROM AUTHOR]

Infectious disease outbreaks related to outdoor sporting events are an underacknowledged environmental health risk. We reviewed documented instances of sporting events that led to outbreaks of illness due to interactions of athletes with environmental pathogen reservoirs such as soil or water. We note that aspects of outdoor athletic activities can mediate a suppression in immune function. The implications of this review are of particular interest to environmental health professionals and healthcare professionals, as they show that populations of young, otherwise healthy adult athletes and other members of their communities are a contextually at-risk group to be aware of in order to improve and speed ability to cluster individuals in outbreaks, and for diagnosis and prevention for individual patients. This review highlights an opportunity where environmental health professionals can provide a critical linkage between patients and the environment., Introduction: Risk Factors of Infection for the Outdoor Athlete Contact with environmental sources of pathogens provides numerous avenues--directly and indirectly--for infection and illness. In the case of participants in outdoor [...]

Coronavirus disease (COVID-19)-associated mucormycosis (CAM) is an emerging systemic fungal infection caused by Mucorales species. Reports of CAM are increasing, especially in India, where 187 cases have been described (1). [...]

The authors trialed a mobile application, DiabetesXcel, which included type 2 diabetes–focused educational videos and modules, in 50 adults of Bronx, NY, a region with a high prevalence of diabetes and diabetes complications. From baseline to 4 months and from baseline to 6 months, there was significantly improved quality of life, self-management, knowledge, self-efficacy, depression, A1C, and LDL cholesterol among those who used DiabetesXcel. There was also a significant decrease in diabetes-related emergency department visits and hospital admissions from baseline to 6 months. This study demonstrates that DiabetesXcel could be beneficial for type 2 diabetes management. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objectives: Electronic health records (EHRs) have transformed the way modern medicine is practiced, but they remain a major source of documentation burden among physicians. This study aims to use data from Signal, a tool provided by the Epic EHR, to analyze physician metadata in the Montefiore Health System via cluster analysis to assess EHR burden and efficiency. Methods: Data were obtained for a one-month period (July 2020) representing a return to normal operation post-telemedicine implementation. Six metrics from Signal were used to phenotype physicians: time on unscheduled days, pajama time, time outside of 7 AM to 7 PM, turnaround time, proficiency score, and visits closed the same day. k-Means clustering was employed to group physicians, and the clusters were assessed overall and by sex and specialty. Results: Our results demonstrate the partitioning of physicians into a higher-efficiency, lower-time outside of scheduled hours (TOSH) cluster and a lower-efficiency, higher-TOSH cluster even when stratified by sex and specialty. Intra-cluster comparisons showed general homogeneity of physician metrics with the exception of the higher-efficiency, lower-TOSH cluster when stratified by sex. Conclusions: Taken together, the clusters uniquely reflect the EHR efficiency-burden of the Montefiore Health System. Applying k-means clustering to readily available EHR data allows for a scalable, efficient, and adaptable approach of assessing physician EHR burden and efficiency, allowing health systems to examine documentation trends and target wellness interventions. [ABSTRACT FROM AUTHOR]

The aim of this scoping review is to evaluate the impact of smartphone application (SPA) technology in patients undergoing elective colonoscopy to measure compliance with appointments, cost-effectiveness, bowel preparation, and quality of life. The scoping review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Ovid Medline, Web of Science, Science Direct, Scopus, Cochrane Library, and PubMed were screened up to Oct 14, 2020, and bibliographies of the retrieved articles were included. Based on pre-specified inclusion and exclusion criteria, 8 primary studies were included in the final analysis from a total of 3,979 non-duplicate articles. Seven out of eight studies measured the bowel preparation quality. In six of these studies, patients in the smartphone group had a successful bowel preparation when compared with the control arm; on the other hand, one study did not find any differences between groups. Adherence to colonoscopy screening was assessed by one study. Patients in the digital intervention arm were significantly more likely to complete a screening test. Patient satisfaction during the periprocedural period of colonoscopy was assessed by five studies which reported significantly higher patient satisfaction in the intervention arm compared to the control arm. None of the studies measured cost-effectiveness. We came to the conclusion that a well-designed, user-friendly SPA can help and guide patients undergoing colonoscopy through the process of following up on their appointments, adhering to bowel preparation, and better understanding their disease condition. Future trials investigating SPAs should include cost-effectiveness and adherence to appointments as an endpoint. [ABSTRACT FROM AUTHOR]

Background: Vocal biomarker–based machine learning approaches have shown promising results in the detection of various health conditions, including respiratory diseases, such as asthma. Objective: This study aimed to determine whether a respiratory-responsive vocal biomarker (RRVB) model platform initially trained on an asthma and healthy volunteer (HV) data set can differentiate patients with active COVID-19 infection from asymptomatic HVs by assessing its sensitivity, specificity, and odds ratio (OR). Methods: A logistic regression model using a weighted sum of voice acoustic features was previously trained and validated on a data set of approximately 1700 patients with a confirmed asthma diagnosis and a similar number of healthy controls. The same model has shown generalizability to patients with chronic obstructive pulmonary disease, interstitial lung disease, and cough. In this study, 497 participants (female: n=268, 53.9%; <65 years old: n=467, 94%; Marathi speakers: n=253, 50.9%; English speakers: n=223, 44.9%; Spanish speakers: n=25, 5%) were enrolled across 4 clinical sites in the United States and India and provided voice samples and symptom reports on their personal smartphones. The participants included patients who are symptomatic COVID-19 positive and negative as well as asymptomatic HVs. The RRVB model performance was assessed by comparing it with the clinical diagnosis of COVID-19 confirmed by reverse transcriptase–polymerase chain reaction. Results: The ability of the RRVB model to differentiate patients with respiratory conditions from healthy controls was previously demonstrated on validation data in asthma, chronic obstructive pulmonary disease, interstitial lung disease, and cough, with ORs of 4.3, 9.1, 3.1, and 3.9, respectively. The same RRVB model in this study in COVID-19 performed with a sensitivity of 73.2%, specificity of 62.9%, and OR of 4.64 (P <.001). Patients who experienced respiratory symptoms were detected more frequently than those who did not experience respiratory symptoms and completely asymptomatic patients (sensitivity: 78.4% vs 67.4% vs 68%, respectively). Conclusions: The RRVB model has shown good generalizability across respiratory conditions, geographies, and languages. Results using data set of patients with COVID-19 demonstrate its meaningful potential to serve as a prescreening tool for identifying individuals at risk for COVID-19 infection in combination with temperature and symptom reports. Although not a COVID-19 test, these results suggest that the RRVB model can encourage targeted testing. Moreover, the generalizability of this model for detecting respiratory symptoms across different linguistic and geographic contexts suggests a potential path for the development and validation of voice-based tools for broader disease surveillance and monitoring applications in the future. [ABSTRACT FROM AUTHOR]

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. 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). 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. 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. [ABSTRACT FROM AUTHOR]

Objectives: We investigated whether continuous remote patient monitoring (RPM) could significantly reduce return Emergency Department (ED) revisits among coronavirus disease 2019 (COVID-19) patients discharged from the emergency Department.Materials and Methods: A prospective observational study was conducted from a total of 2833 COVID-19 diagnosed patients who presented to the Montefiore Medical Center ED between September 2020-March 2021. Study patients were remotely monitored through a digital platform that was supervised 24/7 by licensed healthcare professionals. Age and time-period matched controls were randomly sampled through retrospective review. The primary outcome was ED revisit rates among the two groups.Results: In our study, 150 patients enrolled in the RPM program and 150 controls were sampled for a total of 300 patients. Overall, 59.1% of the patients identified as Hispanic/Latino. The RPM group had higher body mass index (BMI) (29 (25-35) vs. 27 (25-31) p-value 0.020) and rates of hypertension (50.7% (76) vs. 35.8% (54) p-value 0.009). There were no statistically significant differences in rates of ED revisit between the RPM group (8% (12)) and control group (9.3% (14)) (OR: 0.863; 95% CI:0.413-1. 803; p- 0.695).Discussion and Conclusion: Our study explored the impact of continuous monitoring versus intermittent monitoring for reducing ED revisits in a largely underrepresented population of the Bronx. Our study demonstrated that continuous remote patient monitoring showed no significant difference in preventing ED revisits compared to non-standardized intermittent monitoring. However, potential other acute care settings where RPM may be useful for identifying high-risk patients for early interventions warrant further study. [ABSTRACT FROM AUTHOR]