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  1. Article ; Online: Who is getting boosted? Disparities in COVID-19 vaccine booster uptake among health care workers.

    Farah, Wigdan / Breeher, Laura E / Hainy, Caitlin M / Tommaso, Christopher P / Swift, Melanie D

    Vaccine: X

    2023  Volume 13, Page(s) 100269

    Abstract: COVID-19 vaccination remains one of the most effective tools to reduce the risk of SARS-CoV-2 infection. Unfortunately, vaccine hesitancy has limited primary vaccination and booster uptake among the general population and HCWs. To gain a better ... ...

    Abstract COVID-19 vaccination remains one of the most effective tools to reduce the risk of SARS-CoV-2 infection. Unfortunately, vaccine hesitancy has limited primary vaccination and booster uptake among the general population and HCWs. To gain a better understanding of factors associated with booster vaccine uptake, we analyzed COVID-19 vaccine booster rates among HCWs and identified risk factors associated with nonacceptance. Of the 62,387 HCWs included in our analysis, the overall booster uptake rate was 64.8%. Older age, Non-Hispanic White racial group, early initial vaccine uptake and longer duration of employment were associated with higher booster uptake. Significant differences were observed between different job categories. This persistence of vaccine hesitancy and disparities in COVID-19 booster uptake among HCWs, almost 2 years after the rollout of the COVID-19 vaccination, call for further efforts to increase vaccine confidence among HCWs and the general population in light of the continued need for further COVID-19 protection.
    Language English
    Publishing date 2023-02-11
    Publishing country England
    Document type Journal Article
    ISSN 2590-1362
    ISSN (online) 2590-1362
    DOI 10.1016/j.jvacx.2023.100269
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Disparities in COVID-19 Vaccine Uptake Among Health Care Workers

    Farah, Wigdan / Breeher, Laura / Shah, Vishal / Hainy, Caitlin / Tommaso, Christopher P. / Swift, Melanie D.

    Vaccine. 2022 Mar. 18,

    2022  

    Abstract: COVID-19 vaccine uptake by healthcare workers (HCWs) is critical to protect HCWs, the patients they care for, and the healthcare infrastructure. Our study aims to examine the actual COVID-19 vaccination rate among HCWs and identify risk factors ... ...

    Abstract COVID-19 vaccine uptake by healthcare workers (HCWs) is critical to protect HCWs, the patients they care for, and the healthcare infrastructure. Our study aims to examine the actual COVID-19 vaccination rate among HCWs and identify risk factors associated with vaccine nonacceptance. Study Design and Methods: A retrospective analysis of COVID-19 vaccinations for HCWs at a large multi-site US academic medical center from 12/18/2020 through 05/04/2021. Comparisons between groups were performed using unpaired student t-test for continuous variables and the chi-square test for categorical variables. A logistic regression analysis was used to assess the associations between vaccine uptake and risk factor(s). Of the 65,270 HCWs included in our analysis, the overall vaccination rate was 78.6%. Male gender, older age, White and Asian race, and direct patient care were associated with higher vaccination rates (P < .0001). Significant differences were observed between different job categories. Physicians and advanced practice staff, and healthcare professionals were more likely to be vaccinated than nurses and support staff. Our data demonstrated higher initial vaccination rates among HCWs than the general population national average during the study period. We observed significant disparities among different high-risk HCWs groups, especially among different job categories, black HCWs and younger HCWs despite their high risk of contracting the infection. Interventions to address lower vaccination rate and vaccine hesitancy should be built with these disparities and differences in mind to create more targeted interventions.
    Keywords COVID-19 infection ; chi-square distribution ; experimental design ; males ; medical facilities ; patient care ; regression analysis ; retrospective studies ; risk factors ; t-test ; vaccination ; vaccines
    Language English
    Dates of publication 2022-0318
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.03.045
    Database NAL-Catalogue (AGRICOLA)

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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 458: Show issues

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  3. Article ; Online: Coordination of Intraoperative Neurophysiologic Monitoring Technologist and Surgery Schedules.

    Huang, Yu-Li / Bansal, Ankit / Berg, Bjorn P / Tommaso, Christopher P / Laughlin, Ruple S

    Journal of medical systems

    2022  Volume 46, Issue 10, Page(s) 67

    Abstract: Resource coordination in surgical scheduling remains challenging in health care delivery systems. This is especially the case in highly-specialized settings such as coordinating Intraoperative Neurophysiologic Monitoring (IONM) resources. Inefficient ... ...

    Abstract Resource coordination in surgical scheduling remains challenging in health care delivery systems. This is especially the case in highly-specialized settings such as coordinating Intraoperative Neurophysiologic Monitoring (IONM) resources. Inefficient coordination yields higher costs, limited access to care, and creates constraints to surgical quality and outcomes. To maximize utilization of IONM resources, optimization-based algorithms are proposed to effectively schedule IONM surgical cases and technologists and evaluate staffing needs. Data with 10 days of case volumes, their surgery durations, and technologist staffing was used to demonstrate method effectiveness. An iterative optimization-based model that determines both optimal surgery and technologist start time (operational scenario 4) was built in an Excel spreadsheet along with Excel's Solver settings. It was compared with current practice (operational scenario 1) and optimization solution on only surgery start time (operational scenario 2) or technologist start time (operational scenario 3). Comparisons are made with respect to technologist overtime and under-utilization time. The results conclude that scenario 4 significantly reduces overtime by 74% and under-utilization time by 86% as well as technologist needs by 10%. For practices that do not have flexibility to alter surgeon preference on surgery start time or IONM technologist staffing levels, both scenarios 2 and 3 also result in substantial reductions in technologist overtime and under-utilization. Moreover, IONM technologist staffing options are discussed to accommodate technologist preferences and set constraints for surgical case scheduling. All optimization-based approaches presented in this paper are able to improve utilization of IONM resources and ultimately improve the coordination and efficiency of highly-specialized resources.
    MeSH term(s) Costs and Cost Analysis ; Humans ; Intraoperative Neurophysiological Monitoring ; Surgeons
    Language English
    Publishing date 2022-09-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 423488-1
    ISSN 1573-689X ; 0148-5598
    ISSN (online) 1573-689X
    ISSN 0148-5598
    DOI 10.1007/s10916-022-01855-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Disparities in COVID-19 vaccine uptake among health care workers.

    Farah, Wigdan / Breeher, Laura / Shah, Vishal / Hainy, Caitlin / Tommaso, Christopher P / Swift, Melanie D

    Vaccine

    2022  Volume 40, Issue 19, Page(s) 2749–2754

    Abstract: Background: COVID-19 vaccine uptake by healthcare workers (HCWs) is critical to protect HCWs, the patients they care for, and the healthcare infrastructure. Our study aims to examine the actual COVID-19 vaccination rate among HCWs and identify risk ... ...

    Abstract Background: COVID-19 vaccine uptake by healthcare workers (HCWs) is critical to protect HCWs, the patients they care for, and the healthcare infrastructure. Our study aims to examine the actual COVID-19 vaccination rate among HCWs and identify risk factors associated with vaccine nonacceptance.
    Study design and methods: A retrospective analysis of COVID-19 vaccinations for HCWs at a large multi-site US academic medical center from 12/18/2020 through 05/04/2021. Comparisons between groups were performed using unpaired student t-test for continuous variables and the chi-square test for categorical variables. A logistic regression analysis was used to assess the associations between vaccine uptake and risk factor(s).
    Results: Of the 65,270 HCWs included in our analysis, the overall vaccination rate was 78.6%. Male gender, older age, White and Asian race, and direct patient care were associated with higher vaccination rates (P <.0001). Significant differences were observed between different job categories. Physicians and advanced practice staff, and healthcare professionals were more likely to be vaccinated than nurses and support staff.
    Conclusions: Our data demonstrated higher initial vaccination rates among HCWs than the general population national average during the study period. We observed significant disparities among different high-risk HCWs groups, especially among different job categories, black HCWs and younger HCWs despite their high risk of contracting the infection. Interventions to address lower vaccination rate and vaccine hesitancy should be built with these disparities and differences in mind to create more targeted interventions.
    MeSH term(s) COVID-19/prevention & control ; COVID-19 Vaccines ; Health Personnel ; Humans ; Male ; Retrospective Studies ; SARS-CoV-2 ; Vaccination ; Vaccines
    Chemical Substances COVID-19 Vaccines ; Vaccines
    Language English
    Publishing date 2022-03-25
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605674-x
    ISSN 1873-2518 ; 0264-410X
    ISSN (online) 1873-2518
    ISSN 0264-410X
    DOI 10.1016/j.vaccine.2022.03.045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Utility of Follow-up Coronavirus Disease 2019 (COVID-19) Antigen Tests After Acute Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection Among Healthcare Personnel.

    Tande, Aaron J / Swift, Melanie D / Challener, Douglas W / Berbari, Elie F / Tommaso, Christopher P / Christopherson, Darrin R / Binnicker, Matthew J / Breeher, Laura E

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2022  Volume 75, Issue 1, Page(s) e347–e349

    Abstract: We report the utility of rapid antigen tests (RAgT) in a cohort of US healthcare personnel with coronavirus disease 2019 (COVID-19) infection who met symptom criteria to return to work at day 5 or later of isolation. In total, 11.9% of initial RAgT were ... ...

    Abstract We report the utility of rapid antigen tests (RAgT) in a cohort of US healthcare personnel with coronavirus disease 2019 (COVID-19) infection who met symptom criteria to return to work at day 5 or later of isolation. In total, 11.9% of initial RAgT were negative. RAgT can be helpful to guide return to work decisions.
    MeSH term(s) COVID-19/diagnosis ; Delivery of Health Care ; Follow-Up Studies ; Health Personnel ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2022-03-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciac235
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    Zs.MO 480: Show issues

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  6. Article ; Online: Effectiveness of Messenger RNA Coronavirus Disease 2019 (COVID-19) Vaccines Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in a Cohort of Healthcare Personnel.

    Swift, Melanie D / Breeher, Laura E / Tande, Aaron J / Tommaso, Christopher P / Hainy, Caitlin M / Chu, Haitao / Murad, M Hassan / Berbari, Elie F / Virk, Abinash

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2021  Volume 73, Issue 6, Page(s) e1376–e1379

    Abstract: In a large cohort of United States healthcare personnel without prior coronavirus disease 2019 (COVID-19) infection, 94 382 doses of messenger RNA (mRNA) COVID-19 vaccine were administered to 49 220 individuals. The adjusted vaccine effectiveness ... ...

    Abstract In a large cohort of United States healthcare personnel without prior coronavirus disease 2019 (COVID-19) infection, 94 382 doses of messenger RNA (mRNA) COVID-19 vaccine were administered to 49 220 individuals. The adjusted vaccine effectiveness following 2 doses of each of the 2 available brands of mRNA vaccine exceeded 96%.
    MeSH term(s) COVID-19 ; COVID-19 Vaccines ; Delivery of Health Care ; Humans ; RNA, Messenger ; SARS-CoV-2 ; United States/epidemiology ; Vaccines
    Chemical Substances COVID-19 Vaccines ; RNA, Messenger ; Vaccines
    Language English
    Publishing date 2021-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciab361
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  7. Article ; Online: Engaging and Empowering the Front Lines During the COVID-19 Outpatient Practice Reactivation

    Lucchinetti, Claudia F. / von Bormann, Alexander G. / Nagel, Jill J. / Jones, Amie E. / O’Horo, John C. / Callstrom, Matthew R. / Amrami, Kimberly K. / Barth, Jean E. / Breeher, Laura E. / Dowdy, Sean C. / Evers, Theresa S. / Hucke, Dawn L. / Hurt, Ryan T. / Otte, Kimberly K. / Pringnitz, Rachel L. / Prunty, Maureen E. / Ravikumar, Prajnashree / Rushlow, David R. / Sanchez, William /
    Swift, Melanie D. / Tommaso, Christopher P. / Wehde, Mark B.

    Mayo Clinic Proceedings

    2020  Volume 95, Issue 9, Page(s) S47–S51

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 124027-4
    ISSN 1942-5546 ; 0025-6196
    ISSN (online) 1942-5546
    ISSN 0025-6196
    DOI 10.1016/j.mayocp.2020.06.040
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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