Design of the Healthcare Worker Exposure Response and Outcomes (HERO) research platform

Friedland, A; Hernandez, Adrian F.; Anstrom, Kevin J.; Chen-Lim, Mei Lin; Cohen, Lauren W.; Currier, Judith S.; Forrest, Christopher B.; Fraser, Rob W.; Fraulo, Elizabeth S.; George, Anoop; Handberg, Eileen; Jackman, Jennifer; Koellhoffer, Jayne; Lawrence, Daryl; Leverty, Renee; McAdams, Patty; McCourt, Brian; Mickley, Brenda; Naqvi, S. Hasan; O’Brien, Emily C.; Olson, Rachel E.; Prater, Clyde; Rothman, Russell L.; Shenkman, Elizabeth; Shostak, Jack; Turner, Kisha Batey; Webb, L.E.; Woods, Chris W; Naggie, Susanna

doi:10.1016/j.cct.2021.106525

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…The instrumentation embedded in the HERO Registry, including survey items and classification of high-risk versus low-risk settings, was utilized in this ancillary study. Descriptions of the survey items have been reported elsewhere with methodological annotations (Forrest et al, 2021; Friedland et al, 2021). Work settings were classified into two broad categories:…”

Section: Methodsmentioning

confidence: 99%

Experiences of U.S. Nurses Compared With Nonnurses in the First Year of COVID-19

Chen-Lim

McCabe

et al. 2022

Nursing Research

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BackgroundNursing professional organizations and media sources indicated early in the pandemic that the physical and psychological effects of COVID-19 might be distinct and possibly greater in nurses than in other types of healthcare workers (HCWs).ObjectivesBased on survey data collected in Healthcare Worker Exposure Response and Outcomes (HERO), a national registry of U.S. HCWs, this study compared the self-reported experiences of nurses with other HCWs during the first 13 months of the pandemic.MethodsNurse responses were compared to responses of nonnurse HCWs in terms of viral exposure, testing and infection, access to personal protective equipment (PPE), burnout, and well-being. Logistic regression models were used to examine associations between nurse and nonnurse roles for the binary end points of viral testing and test positivity for COVID-19. We also examined differences by race/ethnicity and high-risk versus low-risk practice settings.ResultsOf 24,343 HCWs in the registry, one third self-identified as nurses. Nurses were more likely than other HCWs to report exposure to SARS-CoV-2, problems accessing PPE, and decreased personal well-being, including burnout, feeling tired, stress, trouble sleeping, and worry. In adjusted models, nurses were more likely than nonnurse HCWs to report viral testing and test positivity for COVID-19 infection. Nurses in high-risk settings were more likely to report viral exposure and symptoms related to well-being; nurses in low-risk settings were more likely to report viral testing and test positivity. Black or Hispanic nurses were most likely to report test positivity.DiscussionDifferences were identified between nurses and nonnurse HCWs in access to PPE, physical and mental well-being measures, and likelihood of reporting exposure and infection. Among nurses, testing and infection differed based on race and ethnicity, and type of work setting. Our findings suggest further research and policy are needed to elucidate and address social and occupational disparities.

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Section: Methodsmentioning

confidence: 99%

Experiences of U.S. Nurses Compared With Nonnurses in the First Year of COVID-19

Chen-Lim

McCabe

et al. 2022

Nursing Research

Self Cite

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“…Enrollment, randomization, medication dispersion, symptoms, COVID tests, and even ECGs were recorded remotely. Similar trials, including some within the healthcare workforce, followed rapidly [ 62 – 64 ].…”

Section: Social Media In Medicinementioning

confidence: 99%

Digital health—high tech or high touch?

Gangl

Krychtiuk

2023

Wien Med Wochenschr

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SummaryDigital transformation in medicine refers to the implementation of information technology-driven developments in the healthcare system and their impact on the way we teach, share, and practice medicine. We would like to provide an overview of current developments and opportunities but also of the risks of digital transformation in medicine. Therefore, we examine the possibilities wearables and digital biomarkers provide for early detection and monitoring of diseases and discuss the potential of artificial intelligence applications in medicine. Furthermore, we outline new opportunities offered by telemedicine applications and digital therapeutics, discuss the aspects of social media in healthcare, and provide an outlook on “Health 4.0.”

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Hydroxychloroquine for pre-exposure prophylaxis of COVID-19 in health care workers: a randomized, multicenter, placebo-controlled trial Healthcare Worker Exposure Response and Outcomes of Hydroxychloroquine (HERO-HCQ)

Naggie¹,

Castro²,

Collins³

et al. 2023

International Journal of Infectious Diseases

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Design of the Healthcare Worker Exposure Response and Outcomes (HERO) research platform

Cited by 4 publications

References 28 publications

Experiences of U.S. Nurses Compared With Nonnurses in the First Year of COVID-19

Experiences of U.S. Nurses Compared With Nonnurses in the First Year of COVID-19

Digital health—high tech or high touch?

Hydroxychloroquine for pre-exposure prophylaxis of COVID-19 in health care workers: a randomized, multicenter, placebo-controlled trial Healthcare Worker Exposure Response and Outcomes of Hydroxychloroquine (HERO-HCQ)

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