Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers

Soriano, Joan B.; Fernández, Esteve; Astorza, Álvaro de; Llano, Luis A. Pérez de; Fernández-Villar, Alberto; Carnicer-Pont, Dolors; Alcázar, Bernardino; García, Arturo Huerta; Morales, Aurelio; Lobo, María; Maroto, Marcos; Ferreras, Eloy; Soriano, Cecilia; Rio-Bermudez, Carlos Del; Vega-Piris, Lorena; Basagaña, Xavier; Muncunill, Josep; Cosío, Borja G.; Lumbreras, Sara; Catalina, Carlos; Alzaga, José María; Quilón, David Gómez; Valdivia, Carlos Alberto; Lara, Celia de; Ancochea, Julio

doi:10.2196/21653

Cited by 15 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the body of research reviewed here, various factors were mentioned as barriers to the deployment of telehealth services. Technology acceptance and user adoption was the most common barriers against using telehealth solutions ( 13 , 26 , 28 , 32 , 34 , 35 , 42 , 43 , 50 , 53 , 61 , 78 , 83 , 87 ). Several reasons were raised by physicians and patients for not willing to use new telehealth tools, including lack of time, lack of workflow integration, workload, difficulties with technology, lower levels of internet use, lack of confidence with technology, sensory impairments, health literacy, hearing and vision impairment, and so on.…”

Section: Discussionmentioning

confidence: 99%

“…Different operational requirements in organizations can limit the widespread use of technology ( 54 ). Data availability ( 64 , 73 ), resource availability including equipment and human resources and their accessibility for patients and providers ( 26 , 28 , 34 , 36 , 38 , 61 , 73 , 75 ), standards and legal considerations ( 13 , 27 , 42 , 50 ), insurance policies and reimbursement ( 26 , 61 , 65 ) and data privacy and security ( 13 , 26 , 27 , 34 , 35 , 53 ) are among the barriers to using telehealth. However, some studies have overcome some barriers by presenting novel solutions ( 30 , 35 ).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges

Khoshrounejad

Hamednia

Mehrjerd

et al. 2021

Front. Public Health

115

View full text Add to dashboard Cite

Background: As an ever-growing popular service, telehealth catered for better access to high-quality healthcare services. It is more valuable and cost-effective, particularly in the middle of the current COVID-19 pandemic. Accordingly, this study aimed to systematically review the features and challenges of telehealth-based services developed to support COVID-19 patients and healthcare providers.Methods: A comprehensive search was done for the English language and peer-reviewed articles published until November 2020 using PubMed and Scopus electronic databases. In this review paper, only studies focusing on the telehealth-based service to support COVID-19 patients and healthcare providers were included. The first author's name, publication year, country of the research, study objectives, outcomes, function type including screening, triage, prevention, diagnosis, treatment or follow-up, target population, media, communication type, guideline-based design, main findings, and challenges were extracted, classified, and tabulated.Results: Of the 5,005 studies identified initially, 64 met the eligibility criteria. The studies came from 18 countries. Most of them were conducted in the United States and China. Phone calls, mobile applications, videoconferencing or video calls, emails, websites, text messages, mixed-reality, and teleradiology software were used as the media for communication. The majority of studies used a synchronous communication. The articles addressed the prevention, screening, triage, diagnosis, treatment, and follow-up aspects of COVID-19 which the most common purpose was the patients' follow-up (34/64, 53%). Thirteen group barriers were identified in the literature, which technology acceptance and user adoption, concerns about the adequacy and accuracy of subjective patient assessment, and technical issues were the most frequent ones.Conclusion: This review revealed the usefulness of telehealth-based services during the COVID-19 outbreak and beyond. The features and challenges identified through the literature can be helpful for a better understanding of current telehealth approaches and pointed out the need for clear guidelines, scientific evidence, and innovative policies to implement successful telehealth projects.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges

Khoshrounejad

Hamednia

Mehrjerd

et al. 2021

Front. Public Health

115

View full text Add to dashboard Cite

show abstract

“…The proliferation of COVID-19 mobile health (mHealth) tools for tracking COVID-19 statistics, monitoring potential COVID-19 symptoms, and reducing the social and mental health impacts of the COVID-19 pandemic has emerged simultaneously with the emergence of the pandemic [ 44 - 64 ]. Several COVID-19 apps that have been developed for public health surveillance provide up-to-date statistics, including the number of new cases, hospitalizations, and confirmed deaths [ 46 , 62 , 65 ]. Among the apps that allow for real-time symptom monitoring, trackers and telemedicine systems have helped elucidate the frequency of symptoms associated with COVID-19, thereby allowing patients and health care providers the opportunity to respond early to symptom progression [ 44 , 47 , 48 , 66 ].…”

Section: Introductionmentioning

confidence: 99%

Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey

Camacho-Rivera¹,

Islam²,

Rivera³

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Adults with chronic conditions are disproportionately burdened by COVID-19 morbidity and mortality. Although COVID-19 mobile health (mHealth) apps have emerged, research on attitudes toward using COVID-19 mHealth tools among those with chronic conditions is scarce. Objective This study aimed to examine attitudes toward COVID-19, identify determinants of COVID-19 mHealth tool use across demographic and health-related characteristics, and evaluate associations between chronic health conditions and attitudes toward using COVID-19 mHealth tools (eg, mHealth or web-based methods for tracking COVID-19 exposures, symptoms, and recommendations). Methods We used nationally representative data from the COVID-19 Impact Survey collected from April to June 2020 (n=10,760). Primary exposure was a history of chronic conditions, which were defined as self-reported diagnoses of cardiometabolic, respiratory, immune-related, and mental health conditions and overweight/obesity. Primary outcomes were attitudes toward COVID-19 mHealth tools, including the likelihood of using (1) a mobile phone app to track COVID-19 symptoms and receive recommendations; (2) a website to track COVID-19 symptoms, track location, and receive recommendations; and (3) an app using location data to track potential COVID-19 exposure. Outcome response options for COVID-19 mHealth tool use were extremely/very likely, moderately likely, or not too likely/not likely at all. Multinomial logistic regression was used to compare the likelihood of COVID-19 mHealth tool use between people with different chronic health conditions, with not too likely/not likely at all responses used as the reference category for each outcome. We evaluated the determinants of each COVID-19 mHealth intervention using Poisson regression. Results Of the 10,760 respondents, 21.8% of respondents were extremely/very likely to use a mobile phone app or a website to track their COVID-19 symptoms and receive recommendations. Additionally, 24.1% of respondents were extremely/very likely to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. After adjusting for age, race/ethnicity, sex, socioeconomic status, and residence, adults with mental health conditions were the most likely to report being extremely/very or moderately likely to use each mHealth intervention compared to those without such conditions. Adults with respiratory-related chronic diseases were extremely/very (conditional odds ratio 1.16, 95% CI 1.00-1.35) and moderately likely (conditional odds ratio 1.23, 95% CI 1.04-1.45) to use a mobile phone app to track their location and receive push notifications about whether they have been exposed to COVID-19. Conclusions Our study demonstrates that attitudes toward using COVID-19 mHealth tools vary widely across modalities (eg, web-based method vs app) and chronic health conditions. These findings may inform the adoption of long-term engagement with COVID-19 apps, which is crucial for determining their potential in reducing disparities in COVID-19 morbidity and mortality among individuals with chronic health conditions.

show abstract

“…At any rate, by applying new tools and electronic health at the individual level, perhaps incorporating diet assessments to ongoing portable meters might shed light on their hypothesis 8 . By the way, in their concluding remarks, COVID‐19 might not be the first disease of the Anthropocene 9,10 …”

Section: Figurementioning

confidence: 99%

Cabbage and COVID‐19

Soriano

Ancochea

2021

Allergy

Self Cite

View full text Add to dashboard Cite

The recent report by Bousquet and colleagues within your pages 1 builds up on the hypothesis that fermented foods including cabbage, cucumber and other vegetables could be associated with a lower COVID-19 mortality due to their alleged antioxidant effect. 2 Diseases, just like species, evolve in time and space, and studying their distribution is a fundamental aspect of epidemiology. 3 Given these authors showcase several population approaches by applying geographical epidemiology to COVID-19 indicators, it would be of interest to repeat their statistics conducted during the first wave of COVID-19, again with the current estimates during the ongoing second wave, or later ones. Totally different COVID-19 mortality scenarios are observed, sometimes within weeks. For instance, any of their reported positive associations within regions in Italy compared to France (Figure 1) 4 would in turn show negative associations now, there and elsewhere. 5 Please provide such re-analysis. Actually, COVID-19 death and infection rates change in time within a country or region, while dietary habits remain relatively constant. All in all, we consider it is a practical exercise to teach our medical students on an eventual ecological fallacy. 6,7 At any rate, by applying new tools and electronic health at the individual level, perhaps incorporating diet assessments to ongoing portable meters might shed light on their hypothesis. 8 By the way, in their concluding remarks, COVID-19 might not be the first disease of the Anthropocene. 9,10

show abstract

Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers

Cited by 15 publications

References 24 publications

Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges

Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges

Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey

Cabbage and COVID‐19

Contact Info

Product

Resources

About