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Kearsley SL, Walker L, Johnson MJ, Bravington A. Ancillary hospital workers experience during COVID-19: systematic review and narrative synthesis. BMJ Support Palliat Care 2024:spcare-2024-004855. [PMID: 39084691 DOI: 10.1136/spcare-2024-004855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 07/12/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND COVID-19 overwhelmed healthcare systems worldwide. Its impact on clinical staff is well documented, but little is known about the effects on ancillary staff (cleaners, porters and caterers). AIM To identify the evidence of the impact of COVID-19 on ancillary staff at National Health Service (NHS) hospitals in England. DESIGN Systematic review and narrative synthesis. DATA SOURCES Databases (MEDLINE, CINAHL Ultimate, APA PsycINFO, APA PsycArticles and Academic Search Ultimate). Reference lists were searched. Four independent reviewers screened titles and abstracts against inclusion criteria. Data were extracted from included papers and studies were critically assessed using relevant critical appraisal tools. RESULTS 8/178 studies were included, of which 5 quantitative, 2 qualitative and 1 mixed methods. Ancillary staff had higher rates of past and present COVID-19 infection. Participants felt that the work of ancillary staff had been insufficiently recognised by managers and that they had little voice within the NHS. They also experienced inequity regarding available support and safe working practices due to largely digital modes of communication which they rarely, if ever, used. In an evaluation of a personal protective equipment support 'helper' programme, ancillary workers were more positive about it than nurses, allied health practitioners, and doctors. CONCLUSION Few studies included ancillary staff. As reported, ancillary staff at NHS hospitals had a higher prevalence of COVID-19 infection but felt marginalised and poorly supported. They valued training when offered. Additional research is needed to understand better the impact of COVID-19 on ancillary key workers, and how best to support them in future similar circumstances.
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Affiliation(s)
| | - Liz Walker
- Faculty of Health Sciences, University of Hull, Hull, UK
| | - Miriam J Johnson
- Wolfson Palliative Care Research Centre, University of Hull, Hull, UK
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Kasztelewicz B, Skrok K, Burzyńska J, Migdał M, Dzierżanowska-Fangrat K. Incidence of SARS-CoV-2 infection among healthcare workers before and after COVID-19 vaccination in a tertiary paediatric hospital in Warsaw: A retrospective cohort study. PLoS One 2024; 19:e0301612. [PMID: 38781220 PMCID: PMC11115228 DOI: 10.1371/journal.pone.0301612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 03/19/2024] [Indexed: 05/25/2024] Open
Abstract
A retrospective observational study was conducted among healthcare workers (HCWs) in a tertiary paediatric hospital. The study covered the period before and after implementation of the vaccination programme and evaluated the incidence of new SARS-CoV-2 infections in both periods. Risk factors of the new SARS-CoV-2 infection and COVID-19 vaccine effectiveness was also assessed in a real-world setting. The overall incidence of SARS-CoV-2 infections among HCWs in the study period was 19.4% with a high proportion of asymptomatic individuals (45.1%). The incidence before vaccination was 16.6% and nurses had a higher risk of infection, while physicians had a reduced risk (OR 1.80, 95% CI 1.29-2.52; and OR 0.45, 95% CI 0.30-0.68). Within two months of implementation, the programme achieved a high (88.9%) vaccination coverage in our cohort, although some disparities in vaccination rates were observed. In particular, older individuals, physicians, those working in clinical settings, and those previously uninfected were more likely to be vaccinated. The overall incidence of SARS-CoV-2 infection after vaccination deployment was 6.4% (40.0% in unvaccinated individuals and 3.2% in individuals vaccinated with at least one dose). The estimated vaccine efficacy was high (95.0%) in fully vaccinated HCWs and similar to those observed previously in clinical trials and real-world settings.
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Affiliation(s)
- Beata Kasztelewicz
- Department of Clinical Microbiology and Immunology, The Children’s Memorial Health Institute, Warsaw, Poland
| | - Katarzyna Skrok
- Department of Clinical Microbiology and Immunology, The Children’s Memorial Health Institute, Warsaw, Poland
| | - Julia Burzyńska
- Department of Clinical Microbiology and Immunology, The Children’s Memorial Health Institute, Warsaw, Poland
| | - Marek Migdał
- CEO of the Children’s Memorial Health Institute, Warsaw, Poland
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3
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Liebe SH, Walendi A, Brethfeld L. [Recommendations for action for SARS-CoV-2 testing concepts for asymptomatic healthcare workers]. ZENTRALBLATT FUR ARBEITSMEDIZIN, ARBEITSSCHUTZ UND ERGONOMIE 2023; 73:97-111. [PMID: 37197613 PMCID: PMC9975865 DOI: 10.1007/s40664-023-00496-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/11/2023] [Indexed: 03/05/2023]
Abstract
Background and objective When implementing SARS-CoV‑2 testing concepts in healthcare facilities, different laws and regulations of equal rank apply. In the light of experienced impediments in translating legal requirements appropriately into legally secure concepts on an operational level, the objective of this paper was to develop corresponding specific recommendations for action. Methods On the basis of guiding questions on previously identified fields of action, a focus group consisting of representatives of administration, different medical disciplines, and special interest groups discussed critical aspects of implementation using a holistic approach. The transcribed contents were analyzed through inductive development and deductive application of categories. Results All contents of discussion could be matched with the identified categories legal backgrounds, requirements and objectives of testing concepts in healthcare facilities, responsibilities for implementing in operational decision-making chains, and implementing SARS-CoV‑2 testing concepts. Implications The correct implementation of the legal requirements into legally compliant SARS-CoV‑2 testing concepts in healthcare facilities previously required the involvement of ministries, representatives of different medical disciplines and professional associations, employer and employee representatives and data privacy experts as well as representatives of possible cost bearers. In addition, an integrative and enforceable composition of laws and regulations is necessary. Defining objectives for testing concepts is significant for the following operational process flows that need to consider aspects of employee data privacy as well as providing additional personnel for fulfilling the tasks. Also, in future one central issue of healthcare facilities concerns the finding of solutions for IT interfaces for information transfer to employees in accordance with data privacy.
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Affiliation(s)
- Susanne H. Liebe
- Arbeits- und Gesundheitsschutz der Hochschulmedizin Dresden, Universitätsklinikum Carl Gustav Carus, Fetscherstr. 74, 01307 Dresden, Deutschland
| | - Anna Walendi
- Arbeits- und Gesundheitsschutz der Hochschulmedizin Dresden, Universitätsklinikum Carl Gustav Carus, Fetscherstr. 74, 01307 Dresden, Deutschland
| | - Lukas Brethfeld
- Arbeits- und Gesundheitsschutz der Hochschulmedizin Dresden, Universitätsklinikum Carl Gustav Carus, Fetscherstr. 74, 01307 Dresden, Deutschland
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The Implementation of a Health Care Worker Screening Program Based on the Advanta RT-qPCR Saliva Assay in a Tertiary Care Referral Hospital in Northern Greece. LIFE (BASEL, SWITZERLAND) 2022; 12:life12122011. [PMID: 36556375 PMCID: PMC9787401 DOI: 10.3390/life12122011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 12/04/2022]
Abstract
Health care workers are at increased risk of acquiring SARS-CoV-2 infection due to different exposures in the community and in hospital settings. Interventions implemented to avoid nosocomial outbreaks include preventive testing strategies. In this report, we present results from the mass screening program applied in our hospital to all professionals, irrespective of symptoms or risk of exposure. We processed saliva specimens with real-time reverse transcription polymerase chain reaction. The total number of samples received was 43,726. Positive results were 672 and average positivity rate was 1.21%. The average positivity rate was similar to the positivity rate in the community in Greece and EU. More specifically, 80.5% of the positive participants care for patients in their daily activities, 31% experienced no symptoms before receiving the positive result, 46.1% reported a close contact with a patient or infected coworkers and 32.8% reported a close contact with infected family members. We believe that the identification of asymptomatic carriers has proved the effectiveness of the screening program by preventing the putative nosocomial spread of the virus and the depletion of workforce. In conclusion, in times of high incidence in the community, the periodic testing of health care personnel is wise and relevant for implementation costs.
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Pople D, Monk EJM, Evans S, Foulkes S, Islam J, Wellington E, Atti A, Hope R, Robotham J, Hopkins S, Brown CS, Hall VJ. Burden of SARS-CoV-2 infection in healthcare workers during second wave in England and impact of vaccines: prospective multicentre cohort study (SIREN) and mathematical model. BMJ 2022; 378:e070379. [PMID: 35858689 PMCID: PMC9295077 DOI: 10.1136/bmj-2022-070379] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/16/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To describe the incidence of, risk factors for, and impact of vaccines on primary SARS-CoV-2 infection during the second wave of the covid-19 pandemic in susceptible hospital healthcare workers in England. DESIGN Multicentre prospective cohort study. SETTING National Health Service secondary care health organisations (trusts) in England between 1 September 2020 and 30 April 2021. PARTICIPANTS Clinical, support, and administrative staff enrolled in the SARS-CoV-2 Immunity and Reinfection Evaluation (SIREN) study with no evidence of previous infection. Vaccination status was obtained from national covid-19 vaccination registries and self-reported. MAIN OUTCOME MEASURE SARS-CoV-2 infection confirmed by polymerase chain reaction. Mixed effects logistic regression was conducted to determine demographic and occupational risk factors for infection, and an individual based mathematical model was used to predict how large the burden could have been if vaccines had not been available from 8 December 2020 . RESULTS During England's second wave, 12.9% (2353/18 284) of susceptible SIREN participants became infected with SARS-CoV-2. Infections peaked in late December 2020 and decreased from January 2021, concurrent with the cohort's rapid vaccination coverage and a national lockdown. In multivariable analysis, factors increasing the likelihood of infection in the second wave were being under 25 years old (20.3% (132/651); adjusted odds ratio 1.35, 95% confidence interval 1.07 to 1.69), living in a large household (15.8% (282/1781); 1.54, 1.23 to 1.94, for participants from households of five or more people), having frequent exposure to patients with covid-19 (19.2% (723/3762); 1.79, 1.56 to 2.06, for participants with exposure every shift), working in an emergency department or inpatient ward setting (20.8% (386/1855); 1.76, 1.45 to 2.14), and being a healthcare assistant (18.1% (267/1479); 1.43, 1.16 to 1.77). Time to first vaccination emerged as being strongly associated with infection (P<0.001), with each additional day multiplying a participant's adjusted odds ratio by 1.02. Mathematical model simulations indicated that an additional 9.9% of all patient facing hospital healthcare workers would have been infected were it not for the rapid vaccination coverage. CONCLUSIONS The rapid covid-19 vaccine rollout from December 2020 averted infection in a large proportion of hospital healthcare workers in England: without vaccines, second wave infections could have been 69% higher. With booster vaccinations being needed for adequate protection from the omicron variant, and perhaps the need for further boosters for future variants, ensuring equitable delivery to healthcare workers is essential. The findings also highlight occupational risk factors that persisted in healthcare workers despite vaccine rollout; a greater understanding of the transmission dynamics responsible for these is needed to help to optimise the infection prevention and control policies that protect healthcare workers from infection and therefore to support staffing levels and maintain healthcare provision. TRIAL REGISTRATION ISRCTN registry ISRCTN11041050.
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Affiliation(s)
- Diane Pople
- UK Health Security Agency, London, UK
- Joint first authors: contributed equally
| | - Edward J M Monk
- UK Health Security Agency, London, UK
- Joint first authors: contributed equally
| | - Stephanie Evans
- UK Health Security Agency, London, UK
- Joint first authors: contributed equally
| | | | | | | | - Ana Atti
- UK Health Security Agency, London, UK
| | | | - Julie Robotham
- UK Health Security Agency, London, UK
- The National Institute for Health Research Health (NIHR) Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, UK
| | - Susan Hopkins
- UK Health Security Agency, London, UK
- The National Institute for Health Research Health (NIHR) Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, UK
| | - Colin S Brown
- UK Health Security Agency, London, UK
- The National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College London, London, UK
| | - Victoria J Hall
- UK Health Security Agency, London, UK
- The National Institute for Health Research Health (NIHR) Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, UK
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El Moussaoui M, Maes N, Hong SL, Lambert N, Gofflot S, Dellot P, Belhadj Y, Huynen P, Hayette MP, Meex C, Bontems S, Defêche J, Godderis L, Molenberghs G, Meuris C, Artesi M, Durkin K, Rahmouni S, Grégoire C, Beguin Y, Moutschen M, Dellicour S, Darcis G. Evaluation of Screening Program and Phylogenetic Analysis of SARS-CoV-2 Infections among Hospital Healthcare Workers in Liège, Belgium. Viruses 2022; 14:v14061302. [PMID: 35746774 PMCID: PMC9227503 DOI: 10.3390/v14061302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 06/03/2022] [Accepted: 06/09/2022] [Indexed: 11/16/2022] Open
Abstract
Healthcare workers (HCWs) are known to be at higher risk of developing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections although whether these risks are equal across all occupational roles is uncertain. Identifying these risk factors and understand SARS-CoV-2 transmission pathways in healthcare settings are of high importance to achieve optimal protection measures. We aimed to investigate the implementation of a voluntary screening program for SARS-CoV-2 infections among hospital HCWs and to elucidate potential transmission pathways though phylogenetic analysis before the vaccination era. HCWs of the University Hospital of Liège, Belgium, were invited to participate in voluntary reverse transcriptase-polymerase chain reaction (RT-PCR) assays performed every week from April to December 2020. Phylogenetic analysis of SARS-CoV-2 genomes were performed for a subgroup of 45 HCWs. 5095 samples were collected from 703 HCWs. 212 test results were positive, 15 were indeterminate, and 4868 returned negative. 156 HCWs (22.2%) tested positive at least once during the study period. All SARS-CoV-2 test results returned negative for 547 HCWs (77.8%). Nurses (p < 0.05), paramedics (p < 0.05), and laboratory staff handling respiratory samples (p < 0.01) were at higher risk for being infected compared to the control non-patient facing group. Our phylogenetic analysis revealed that most positive samples corresponded to independent introduction events into the hospital. Our findings add to the growing evidence of differential risks of being infected among HCWs and support the need to implement appropriate protection measures based on each individual’s risk profile to guarantee the protection of both HCWs and patients. Furthermore, our phylogenetic investigations highlight that most positive samples correspond to distinct introduction events into the hospital.
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Affiliation(s)
- Majdouline El Moussaoui
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
- Correspondence:
| | - Nathalie Maes
- Department of Biostatistics and Medico-Economic Information, University Hospital of Liège, 4000 Liege, Belgium;
| | - Samuel L. Hong
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, 3000 Leuven, Belgium; (S.L.H.); (S.D.)
| | - Nicolas Lambert
- Department of Neurology, University Hospital of Liège, 4000 Liege, Belgium;
| | - Stéphanie Gofflot
- Department of Biothèque Hospitalo-Universitaire de Liège (BHUL), University Hospital of Liège, 4000 Liege, Belgium;
| | - Patricia Dellot
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
| | - Yasmine Belhadj
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
| | - Pascale Huynen
- Department of Clinical Microbiology, University Hospital of Liège, 4000 Liege, Belgium; (P.H.); (M.-P.H.); (C.M.); (S.B.); (J.D.)
| | - Marie-Pierre Hayette
- Department of Clinical Microbiology, University Hospital of Liège, 4000 Liege, Belgium; (P.H.); (M.-P.H.); (C.M.); (S.B.); (J.D.)
| | - Cécile Meex
- Department of Clinical Microbiology, University Hospital of Liège, 4000 Liege, Belgium; (P.H.); (M.-P.H.); (C.M.); (S.B.); (J.D.)
| | - Sébastien Bontems
- Department of Clinical Microbiology, University Hospital of Liège, 4000 Liege, Belgium; (P.H.); (M.-P.H.); (C.M.); (S.B.); (J.D.)
| | - Justine Defêche
- Department of Clinical Microbiology, University Hospital of Liège, 4000 Liege, Belgium; (P.H.); (M.-P.H.); (C.M.); (S.B.); (J.D.)
| | - Lode Godderis
- Centre for Environment and Health, Department of Public Health and Primary Care, Katholieke Universiteit Leuven, 3000 Leuven, Belgium;
| | - Geert Molenberghs
- Institute for Biostatistics and Statistical Bioinformatics, Katholieke Universiteit Leuven, 3000 Leuven, Belgium;
| | - Christelle Meuris
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
| | - Maria Artesi
- Laboratory of Human Genetics, GIGA-Institute, University of Liège, 4000 Liege, Belgium; (M.A.); (K.D.)
| | - Keith Durkin
- Laboratory of Human Genetics, GIGA-Institute, University of Liège, 4000 Liege, Belgium; (M.A.); (K.D.)
| | - Souad Rahmouni
- Laboratory of Animal Genomics, GIGA-Medical Genomics, GIGA-Institute, University of Liège, 4000 Liege, Belgium;
| | - Céline Grégoire
- Department of Haematology, University Hospital of Liège, 4000 Liege, Belgium; (C.G.); (Y.B.)
| | - Yves Beguin
- Department of Haematology, University Hospital of Liège, 4000 Liege, Belgium; (C.G.); (Y.B.)
| | - Michel Moutschen
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
| | - Simon Dellicour
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Katholieke Universiteit Leuven, 3000 Leuven, Belgium; (S.L.H.); (S.D.)
- Spatial Epidemiology Lab, Université Libre de Bruxelles, 1000 Brussels, Belgium
| | - Gilles Darcis
- Department of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liege, Belgium; (P.D.); (Y.B.); (C.M.); (M.M.); (G.D.)
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Lopez A, Kosnik R, Blanc PD, Taylor BR, Guntur S. Testing for SARS-CoV-2 in Symptomatic Vaccinated and Unvaccinated Health Care Workers During the Delta Variant Surge. J Occup Environ Med 2022; 64:179-181. [PMID: 34775397 PMCID: PMC8808761 DOI: 10.1097/jom.0000000000002431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Infection with SARS- CoV- 2 in health care workers (HCWs) challenges employee health services. METHODS We analyzed telephone Coronavirus Disease 2019 (COVID-19) hotline data over 8 weeks in 2021 during SARS- CoV- 2 Delta variant surge. We calculated COVID-19 case rates among persons-under-investigation (PUIs) for illness at two health care centers (HCs). RESULTS There were 41 COVID-19 cases among the 285 PUIs (14.4%) at the study HC and 549 (16.9%) of 3244 at the comparison HC. At the study HC, 11.7% of vaccinated PUIs versus 36.6% of unvaccinated PUIs were COVID-19 positive. The COVID-19 positivity rates among vaccinated and unvaccinated PUIs at the comparison HC were 16.1% and 33.3%, respectively. DISCUSSION In the SARS-CoV-2 Delta variant surge, COVID-19 test positivity rates among unvaccinated symptomatic HCWs are dramatically elevated. Aggressive testing of HCW PUIs is particularly critical during periods of disease upsurge.
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Affiliation(s)
- Anthony Lopez
- Division of Occupational and Environmental Medicine, Department of Medicine, San Francisco Veterans Affairs Health Care System (Mr Lopez, Dr Blanc, Dr Guntur); Division of Occupational Medicine, Department of Medicine, University of California San Francisco (Dr Kosnik, Dr Blanc, Dr Guntur); and Office of Population Health, University of California San Francisco Medical Center (Dr Taylor), University of California San Francisco, San Francisco, California
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Sanchez-Taltavull D, Castelo-Szekely V, Murugan S, Hamley JID, Rollenske T, Ganal-Vonarburg SC, Büchi I, Keogh A, Li H, Salm L, Spari D, Yilmaz B, Zimmermann J, Gerfin M, Roldan E, Beldi G, UVCM-COVID researchers. Regular testing of asymptomatic healthcare workers identifies cost-efficient SARS-CoV-2 preventive measures. PLoS One 2021; 16:e0258700. [PMID: 34739484 PMCID: PMC8570514 DOI: 10.1371/journal.pone.0258700] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/03/2021] [Indexed: 11/18/2022] Open
Abstract
Protecting healthcare professionals is crucial in maintaining a functioning healthcare system. The risk of infection and optimal preventive strategies for healthcare workers during the COVID-19 pandemic remain poorly understood. Here we report the results of a cohort study that included pre- and asymptomatic healthcare workers. A weekly testing regime has been performed in this cohort since the beginning of the COVID-19 pandemic to identify infected healthcare workers. Based on these observations we have developed a mathematical model of SARS-CoV-2 transmission that integrates the sources of infection from inside and outside the hospital. The data were used to study how regular testing and a desynchronisation protocol are effective in preventing transmission of COVID-19 infection at work, and compared both strategies in terms of workforce availability and cost-effectiveness. We showed that case incidence among healthcare workers is higher than would be explained solely by community infection. Furthermore, while testing and desynchronisation protocols are both effective in preventing nosocomial transmission, regular testing maintains work productivity with implementation costs.
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Affiliation(s)
- Daniel Sanchez-Taltavull
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Violeta Castelo-Szekely
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Shaira Murugan
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Jonathan I. D. Hamley
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Tim Rollenske
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Stephanie C. Ganal-Vonarburg
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Isabel Büchi
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Adrian Keogh
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Hai Li
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Lilian Salm
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Daniel Spari
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - Bahtiyar Yilmaz
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Jakob Zimmermann
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Michael Gerfin
- Department of Economics, University of Bern, Bern, Switzerland
| | - Edgar Roldan
- ICTP, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
| | - Guido Beldi
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
| | - UVCM-COVID researchers
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, Bern, Switzerland
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Experience with voluntary severe acute respiratory coronavirus virus 2 (SARS-CoV-2) testing of asymptomatic staff at the National Institutes of Health for one year. Infect Control Hosp Epidemiol 2021; 43:1661-1663. [PMID: 34724999 PMCID: PMC8632445 DOI: 10.1017/ice.2021.458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Voluntary asymptomatic severe acute respiratory coronavirus virus 2 (SARS-CoV-2) testing was provided by the NIH Clinical Center over 1 year. Among 105,927 tests, 0.2% were positive. Among eligible staff, 79% participated with variable frequency and 61% of positive individuals had symptoms at the time of testing. Saliva specimen collection was chosen as an option less frequently than midturbinate collection.
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Wang C, Wang Y, Han B, Zhao TS, Liu B, Liu H, Chen L, Xie M, Zheng H, Zhang S, Zeng J, Huang NH, Du J, Liu Y, Lu QB, Cui F. Willingness and SARS-CoV-2 Vaccination Coverage among Healthcare Workers in China: A Nationwide Study. Vaccines (Basel) 2021; 9:993. [PMID: 34579230 PMCID: PMC8472967 DOI: 10.3390/vaccines9090993] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 12/15/2022] Open
Abstract
Background: The SARS-CoV-2 vaccine has been widely rolled out globally in the general populations. However, specific data on vaccination confidence, willingness or coverage among health care workers (HCWs) has been less reported. Methods: A cross-sectional online survey was conducted to specify the basic data and patterns of vaccination confidence, willingness and coverage among HCWs nationwide. Results: In total, 2386 out of 2583 (92.4%) participants were enrolled for analysis, and the rates of confidence in vaccine, professional institutes and government were 75.1%, 85.2% and 85.4%, respectively. The overall vaccination coverage rate was 63.6% which was adjusted as 82.8% for participants under current medical conditions or having contraindications. Confidence in vaccine safety was shown to be the most related factor to willingness among doctors, nurses, medical technicians and hospital administrators, while confidence in vaccine effectiveness as well as trust in government played the key role in formulating public health employees' willingness. 130 (7.1% of 1833) participants reporting willingness still not been vaccinated regardless of contraindications. Multivariate analysis among willingness participants showed that males, aged over 30 years, public health employees and higher vaccination confidence had significantly higher vaccination rates with ORs (95% confidence intervals) as 1.64 (1.08-2.49), 3.14 (2.14-4.62), 2.43 (1.46-4.04) or 2.31 (1.24-4.33). Conclusions: HCWs' confidence, willingness and coverage rates to the vaccine were generally at high levels. Heterogeneity among HCWs should be considered for future vaccination promotion strategies. The population's confidence in vaccination is not only the determinant to their willingness, but also guarantees their actual vaccine uptake.
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Affiliation(s)
- Chao Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yu Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Bingfeng Han
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Tian-Shuo Zhao
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Bei Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Hanyu Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Linyi Chen
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Mingzhu Xie
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Hui Zheng
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jing Zeng
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
| | - Ning-Hua Huang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
| | - Juan Du
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China; (C.W.); (Y.W.); (B.H.); (T.-S.Z.); (B.L.); (H.L.); (L.C.); (M.X.); (H.Z.); (S.Z.); (J.Z.); (N.-H.H.); (J.D.); (Y.L.)
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Gallichotte EN, Nehring M, Young MC, Pugh S, Sexton NR, Fitzmeyer E, Quicke KM, Richardson M, Pabilonia KL, Ehrhart N, Fosdick BK, VandeWoude S, Ebel GD. Durable Antibody Responses in Staff at Two Long-Term Care Facilities, during and Post SARS-CoV-2 Outbreaks. Microbiol Spectr 2021; 9:e0022421. [PMID: 34287058 PMCID: PMC8552744 DOI: 10.1128/spectrum.00224-21] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/25/2021] [Indexed: 02/08/2023] Open
Abstract
SARS-CoV-2 has had a disproportionate impact on nonhospital health care settings, such as long-term-care facilities (LTCFs). The communal nature of these facilities, paired with the high-risk profile of residents, has resulted in thousands of infections and deaths and a high case fatality rate. To detect presymptomatic infections and identify infected workers, we performed weekly surveillance testing of staff at two LTCFs, which revealed a large outbreak at one of the sites. We collected serum from staff members throughout the study and evaluated it for binding and neutralization to measure seroprevalence, seroconversion, and type and functionality of antibodies. At the site with very few incident infections, we detected that over 40% of the staff had preexisting SARS-CoV-2 neutralizing antibodies, suggesting prior exposure. At the outbreak site, we saw rapid seroconversion following infection. Neutralizing antibody levels were stable for many weeks following infection, suggesting a durable, long-lived response. Receptor-binding domain antibodies and neutralizing antibodies were strongly correlated. The site with high seroprevalence among staff had two unique introductions of SARS-CoV-2 into the facility through seronegative infected staff during the period of study, but these did not result in workplace spread or outbreaks. Together, our results suggest that a high seroprevalence rate among staff can contribute to immunity within a workplace and protect against subsequent infection and spread within a facility. IMPORTANCE Long-term care facilities (LTCFs) have been disproportionately impacted by COVID-19 due to their communal nature and high-risk profile of residents. LTCF staff have the ability to introduce SARS-CoV-2 into the facility, where it can spread, causing outbreaks. We tested staff weekly at two LTCFs and collected blood throughout the study to measure SARS-CoV-2 antibodies. One site had a large outbreak and infected individuals rapidly generated antibodies after infection. At the other site, almost half the staff already had antibodies, suggesting prior infection. The majority of these antibodies bind to the receptor-binding domain of the SARS-CoV-2 spike protein and are potently neutralizing and stable for many months. The non-outbreak site had two unique introductions of SARS-CoV-2 into the facility, but these did not result in workplace spread or outbreaks. Our results reveal that high seroprevalence among staff can contribute to immunity and protect against subsequent infection and spread within a facility.
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Affiliation(s)
- Emily N. Gallichotte
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Mary Nehring
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Michael C. Young
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Sierra Pugh
- Department of Statistics, Colorado State University, Fort Collins, Colorado, USA
| | - Nicole R. Sexton
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Emily Fitzmeyer
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Kendra M. Quicke
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Megan Richardson
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Kristy L. Pabilonia
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Nicole Ehrhart
- Columbine Health Systems Center for Healthy Aging and Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Bailey K. Fosdick
- Department of Statistics, Colorado State University, Fort Collins, Colorado, USA
| | - Sue VandeWoude
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Gregory D. Ebel
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
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