Search

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.

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.

Objective: The ASTHMAXcel PRO mobile app provides asthma education and collects asthma outcome data. The objective of this study was to evaluate the associations between health/electronic health literacy (eHealth literacy) and depressive symptoms with app usage and clinical outcomes., Methods: Adults with persistent asthma were recruited to use the app. Participants completed the Patient Health Questionnaire-9 to assess for depressive symptoms, Asthma Control Test, Mini Asthma Quality of Life (QOL) Questionnaire, and the Newest Vital Sign tool to measure health literacy. Data on a subset of participants were available on eHealth literacy ( n = 24) and average number of app logins across 2 months ( n = 40)., Results: The total study sample included 96 participants (46% non-Hispanic Black, 44.4% Hispanic). The average participant age was 44.0 (standard deviation = 14.9) years, with 74% identifying as female. Increased depressive symptoms were associated with worse asthma control ( β = -0.46, p < .001) and asthma QOL ( β = -0.38, p < .001), but not eHealth literacy. Higher eHealth literacy was associated with worse asthma QOL ( β = -0.48, p = .02) and more app logins ( β = 0.59, p = .04). Newest Vital Sign scores were not associated with any of the other measures., Conclusions: Depressive symptoms were associated with worse asthma outcomes. eHealth literacy was associated with increased patient engagement with the app and worse asthma QOL, which may reflect patients with worse QOL seeking out health information on the Internet (although directionality could not be assessed). Digital health literacy may be key to increasing patient engagement with mobile health interventions.Trial Registration: National Clinical Trial No. 03847142, https://clinicaltrials.gov/ct2/show/NCT03847142 ., (Copyright © 2023 by the American Psychosomatic Society.)

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.

Objectives: This study aimed to (1) determine the impact of COVID-19 (coronavirus disease 2019) and the corresponding increase in use of telemedicine on volume, efficiency, and burden of electronic health record (EHR) usage by residents and fellows; and (2) to compare these metrics with those of attending physicians., Methods: We analyzed 11 metrics from Epic's Signal database of outpatient physician user logs for active residents/fellows at our institution across three 1-month time periods: August 2019 (prepandemic/pre-telehealth), May 2020 (mid-pandemic/post-telehealth implementation), and July 2020 (follow-up period) and compared these metrics between trainees and attending physicians. We also assessed how the metrics varied for medical trainees in primary care as compared with subspecialties., Results: Analysis of 141 residents/fellows and 495 attendings showed that after telehealth implementation, overall patient volume, Time in In Basket per day, Time outside of 7 a.m. to 7 p.m., and Time in notes decreased significantly compared with the pre-telehealth period. Female residents, fellows, and attendings had a lower same day note closure rate before and during the post-telehealth implementation period and spent greater time working outside of 7 a.m. to 7 p.m. compared with male residents, fellows, and attendings ( p  < 0.01) compared with the pre-telehealth period. Attending physicians had a greater patient volume, spent more time, and were more efficient in the EHR compared with trainees ( p  < 0.01) in both the post-telehealth and follow-up periods as compared with the pre-telehealth period., Conclusion: The dramatic change in clinical operations during the pandemic serves as an inflection point to study changes in physician practice patterns in the EHR. We observed that (1) female physicians closed fewer notes the same day and spent more time in the EHR outside of normal working hours compared with male physicians, and (2) attending physicians had higher patient volumes and also higher efficiency in the EHR compared with resident physicians., Competing Interests: None declared., (Thieme. All rights reserved.)

Background: Residents of the Bronx suffer marked health disparities due to socioeconomic and other factors. The coronavirus disease 2019 pandemic worsened these health outcome disparities and health care access disparities, especially with the abrupt transition to online care., Objectives: This study classified electronic health literacy (EHL) among patients at an urban, academic hospital in the Bronx, and assessed for associations between EHL levels and various demographic characteristics., Methods: We designed a cross-sectional, observational study in adults 18 years or older presenting to the Montefiore Einstein Center for Cancer Care (MECCC) Department of Radiation Oncology or the Montefiore Department of Medicine in the Bronx. We assessed EHL using the eHealth Literacy Scale (eHEALS) survey, a previously validated tool, and our newly developed eHealth Literacy Objective Scale-Scenario Based (eHeLiOS-SB) tool., Results: A total of 97 patients recruited from the MECCC and Department of Medicine participated in this study. There was a statistically significant association between age and EHL as assessed by both eHEALS and eHeLiOS-SB, with older adults having lower EHL scores. Additionally, a question designed to assess general attitudes toward digital health technologies found that most participants had a positive attitude toward such applications., Conclusion: Many patients, especially older adults, may require additional support to effectively navigate telehealth. Further research is warranted to optimize telemedicine strategies in this potentially-marginalized population and ultimately to create telehealth practices accessible to patients of all ages and demographics., Competing Interests: None declared., (Thieme. All rights reserved.)

Telemedicine has been widely implemented during the coronavirus disease 2019 (COVID-19) pandemic; however, its impact on those providing care remains largely understudied. Provider documentation data collected by the electronic health record (EHR) represents an underutilized tool for assessing the provider experience. Through Epic Signal, we collected data regarding the actions logged in the EHR by health care providers of the Montefiore Health System (Bronx, NY) before and after the implementation of telemedicine during the pandemic. Focusing on five metrics (appointments per day, visits closed same day, time spent outside 7 AM-7 PM, time spent on unscheduled days, and pajama time), we performed a preliminary analysis of providers across the institution, by specialty, and according to demographic characteristics such as gender and years since graduation. We observed that after telemedicine implementation, a greater proportion of providers had fewer appointments per day, closed more notes same day, and spent less time in the EHR outside of normal working hours for each of the time-related metrics. We additionally found that providers who graduated longer ago as well as female providers spent more time documenting in the EHR after hours. This brief analysis highlights the potential of using EHR data to inform decisions based on provider well-being, specifically in the setting of telemedicine implementation.

Background: Technology-based interventions (TBIs) can improve asthma management by facilitating patient education, symptom monitoring, environmental trigger control, comorbid condition management, and medication adherence. Collecting patient-reported outcomes (PROs) can identify effective interventions and ensure patient-centered care, but it is unclear which TBIs have been formally evaluated using PROs., Objectives: We aim to: (1) identify the TBIs that have been evaluated in clinical trials using PROs; (2) identify the most commonly used PROs in these trials; and (3) determine the impact of TBIs on PROs in the management of chronic asthma., Methods: We searched the PubMed and Clinicaltrials.gov databases for studies published in English between January 2000 and February 2020 using the following search criteria: "asthma," "IT-based interventions," "information technology," "technology," "dyspnea," "patient reported outcomes," "PROs," "telehealth," "telemedicine," and "mobile devices." Two independent reviewers screened the studies and determined study inclusion. Studies were examined for the types of interventions used, the types of PROs collected, and outcomes., Results: The final analysis included 14 clinical trials with either 1, 2, or 3 arms. Five different types of TBIs were identified, most commonly involving multimedia education. Four different categories of PROs were identified, most commonly involving treatment self-efficacy. Positive outcomes in at least 1 PRO domain were reported in 12 of 14 studies. Pooled meta-analysis was not possible due to the heterogeneity of PRO instruments across studies., Conclusion: TBIs improve PROs overall in patients with asthma. Future trials investigating TBIs should include standardized PROs as endpoints to better clarify this relationship., (Copyright © 2021 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)

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]

Telemedicine has been widely implemented during the coronavirus disease 2019 (COVID-19) pandemic; however, its impact on those providing care remains largely understudied. Provider documentation data collected by the electronic health record (EHR) represents an underutilized tool for assessing the provider experience. Through Epic Signal, we collected data regarding the actions logged in the EHR by health care providers of the Montefiore Health System (Bronx, NY) before and after the implementation of telemedicine during the pandemic. Focusing on five metrics (appointments per day, visits closed same day, time spent outside 7 AM–7 PM, time spent on unscheduled days, and pajama time), we performed a preliminary analysis of providers across the institution, by specialty, and according to demographic characteristics such as gender and years since graduation. We observed that after telemedicine implementation, a greater proportion of providers had fewer appointments per day, closed more notes same day, and spent less time in the EHR outside of normal working hours for each of the time-related metrics. We additionally found that providers who graduated longer ago as well as female providers spent more time documenting in the EHR after hours. This brief analysis highlights the potential of using EHR data to inform decisions based on provider well-being, specifically in the setting of telemedicine implementation. [ABSTRACT FROM AUTHOR]