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Oncological care organisation during COVID-19 outbreak
Copyright policy )Oncological care organisation during COVID-19 outbreak
Background COVID-19 appeared in late 2019, causing a pandemic spread. This led to a reorganisation of oncology care in order to reduce the risk of spreading infection between patients and healthcare staff. Here we analysed measures taken in major oncological units in Europe and the USA. Methods A 46-item survey was sent by email to representatives of 30 oncological centres in 12 of the most affected countries. The survey inquired about preventive measures established to reduce virus spread, patient education and processes employed for risk reduction in each oncological unit. Results Investigators from 21 centres in 10 countries answered the survey between 10 April and 6 May 2020. A triage for patients with cancer before hospital or clinic visits was conducted by 90.5% of centres before consultations, 95.2% before day care admissions and in 100% of the cases before overnight hospitalisation by means of phone calls, interactive online platforms, swab test and/or chest CT scan. Permission for caregivers to attend clinic visits was limited in many centres, with some exceptions (ie, for non-autonomous patients, in the case of a new diagnosis, when bad news was expected and for terminally ill patients). With a variable delay period, the use of personal protective equipment was unanimously mandatory, and in many centres, only targeted clinical and instrumental examinations were performed. Telemedicine was implemented in 76.2% of the centres. Separated pathways for COVID-19-positive and COVID-19-negative patients were organised, with separate inpatient units and day care areas. Self-isolation was required for COVID-19-positive or symptomatic staff, while return to work policies required a negative swab test in 76.2% of the centres. Conclusion Many pragmatic measures have been quickly implemented to deal with the health emergency linked to COVID-19, although the relative efficacy of each intervention should be further analysed in large observational studies.
info:eu-repo/semantics/published
SCOPUS: ar.j
- University of Trieste Italy
- Autonomous University of Barcelona Spain
- Medical University of Vienna Austria
- Complutense University of Madrid Spain
- KU Leuven Belgium
Microsoft Academic Graph classification: Day care Health care Medicine Cancer Care Facilities Medical emergency Telemedicine Personal protective equipment business.industry medicine.disease Triage Observational study business Patient education
Library of Congress Subject Headings: lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282
2474, Cancer Research, Oncologia, Medical Oncology, COVID-19 (Malaltia), RECOMMENDATIONS, Assistència sanitària, Neoplasms, :virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Medicine and Health Sciences, Viral, 1506, :Health Occupations::Medicine::Internal Medicine::Medical Oncology [DISCIPLINES AND OCCUPATIONS], Cancer, COVID-19; oncological care; Betacoronavirus; COVID-19; Cancer Care Facilities; Coronavirus Infections; Delivery of Health Care; Disinfection; Europe; Health Care Surveys; Humans; Medical Oncology; Neoplasms; Pandemics; Personal Protective Equipment; Pneumonia, Viral; SARS-CoV-2; Triage; United States; Visitors to Patients, Original Research, oncological care, :Health Care (Public Health) [PUBLIC HEALTH], :Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], CANCER, Europe, Oncology, Coronavirus Infections, Human, United State, :atención a la salud (salud pública) [SALUD PÚBLICA], Betacoronavirus; COVID-19; Cancer Care Facilities/organization & administration; Cancer Care Facilities/statistics & numerical data; Coronavirus Infections/diagnosis; Coronavirus Infections/epidemiology; Coronavirus Infections/prevention & control; Delivery of Health Care; Disinfection; Europe/epidemiology; Health Care Surveys; Humans; Medical Oncology/statistics & numerical data; Neoplasms/therapy; Pandemics/prevention & control; Personal Protective Equipment; Pneumonia, Viral/diagnosis; Pneumonia, Viral/epidemiology; Pneumonia, Viral/prevention & control; SARS-CoV-2; Triage; United States/epidemiology; Visitors to Patients; oncological care, Pneumonia, Viral, Cancer Care Facilities, :profesiones sanitarias::medicina::medicina interna::oncología médica [DISCIPLINAS Y OCUPACIONES], Betacoronavirus, Clinical Research, Behavioral and Social Science, Humans, Pandemics, Personal Protective Equipment, Betacoronaviru, Pandemic, Cancer Care Facilitie, Coronavirus Infection, SARS-CoV-2, Prevention, COVID-19, Correction, Généralités, Pneumonia, Visitors to Patients, United States, Disinfection, Good Health and Well Being, Health Care Survey, Health Care Surveys, Neoplasm, Human medicine, Triage, Delivery of Health Care
2474, Cancer Research, Oncologia, Medical Oncology, COVID-19 (Malaltia), RECOMMENDATIONS, Assistència sanitària, Neoplasms, :virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Medicine and Health Sciences, Viral, 1506, :Health Occupations::Medicine::Internal Medicine::Medical Oncology [DISCIPLINES AND OCCUPATIONS], Cancer, COVID-19; oncological care; Betacoronavirus; COVID-19; Cancer Care Facilities; Coronavirus Infections; Delivery of Health Care; Disinfection; Europe; Health Care Surveys; Humans; Medical Oncology; Neoplasms; Pandemics; Personal Protective Equipment; Pneumonia, Viral; SARS-CoV-2; Triage; United States; Visitors to Patients, Original Research, oncological care, :Health Care (Public Health) [PUBLIC HEALTH], :Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], CANCER, Europe, Oncology, Coronavirus Infections, Human, United State, :atención a la salud (salud pública) [SALUD PÚBLICA], Betacoronavirus; COVID-19; Cancer Care Facilities/organization & administration; Cancer Care Facilities/statistics & numerical data; Coronavirus Infections/diagnosis; Coronavirus Infections/epidemiology; Coronavirus Infections/prevention & control; Delivery of Health Care; Disinfection; Europe/epidemiology; Health Care Surveys; Humans; Medical Oncology/statistics & numerical data; Neoplasms/therapy; Pandemics/prevention & control; Personal Protective Equipment; Pneumonia, Viral/diagnosis; Pneumonia, Viral/epidemiology; Pneumonia, Viral/prevention & control; SARS-CoV-2; Triage; United States/epidemiology; Visitors to Patients; oncological care, Pneumonia, Viral, Cancer Care Facilities, :profesiones sanitarias::medicina::medicina interna::oncología médica [DISCIPLINAS Y OCUPACIONES], Betacoronavirus, Clinical Research, Behavioral and Social Science, Humans, Pandemics, Personal Protective Equipment, Betacoronaviru, Pandemic, Cancer Care Facilitie, Coronavirus Infection, SARS-CoV-2, Prevention, COVID-19, Correction, Généralités, Pneumonia, Visitors to Patients, United States, Disinfection, Good Health and Well Being, Health Care Survey, Health Care Surveys, Neoplasm, Human medicine, Triage, Delivery of Health Care
Microsoft Academic Graph classification: Day care Health care Medicine Cancer Care Facilities Medical emergency Telemedicine Personal protective equipment business.industry medicine.disease Triage Observational study business Patient education
Library of Congress Subject Headings: lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282
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1 Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020;382:727-33.
2 Lu R, Zhao X, Li J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 2020;395:565-74.
3 Andersen KG, Rambaut A, Lipkin WI, et al. The proximal origin of SARS-CoV-2. Nat Med 2020;26:450-2.
4 COVID-19 data Repository by the center for systems science and engineering (CSSE) at Johns Hopkins University. Available: https:// github.com/CSSEGISandData/COVID-19 5 Yu J, Ouyang W, Chua MLK, et al. SARS-CoV-2 transmission in patients with cancer at a tertiary care hospital in Wuhan, China. JAMA Oncol 2020;6:1108.
6 Liang W, Guan W, Chen R, et al. Cancer patients in SARSCoV-2 infection: a nationwide analysis in China. Lancet Oncol 2020;21:335-7.
7 Onder G, Rezza G, Brusaferro S. Case-Fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 2020. doi:10.1001/jama.2020.4683. [Epub ahead of print: 23 Mar 2020].
8 European Centre for Disease Prevention and Control - Covid-19 pandemic. Available: https://www.ecdc.europa.eu/en/covid-19- pandemic 9 Lambertini M, Toss A, Passaro A, et al. Cancer care during the spread of coronavirus disease 2019 (COVID-19) in Italy: young oncologists' perspective. ESMO Open 2020;5:e000759.
10 Meattini I, Franco P, Belgioia L, et al. Radiation therapy during the coronavirus disease 2019 (covid-19) pandemic in Italy: a view of the nation's young oncologists. ESMO Open 2020;5:e000779.
11 Motlagh A, Yamrali M, Azghandi S, et al. COVID19 Prevention & Care; A Cancer Specific Guideline. Arch Iran Med 2020;23:255-64.
12 Shankar A, Saini D, Roy S, et al. Cancer Care Delivery Challenges Amidst Coronavirus Disease - 19 (COVID-19) Outbreak: Specific Precautions for Cancer Patients and Cancer Care Providers to Prevent Spread. Asian Pac J Cancer Prev 2020;21:569-73.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!- University of Trieste Italy
- Autonomous University of Barcelona Spain
- Medical University of Vienna Austria
- Complutense University of Madrid Spain
- KU Leuven Belgium
- Northwestern University United States
- University of St. Gallen Switzerland
- University Federico II of Naples Italy
- University of Antwerp Belgium
- University of California, Los Angeles United States
- Maastricht University Netherlands
- Universität Hamburg Germany
- University of California, San Francisco United States
- University Hospital of Lausanne Switzerland
- Centre Hospitalier de Luxembourg Luxembourg
- University of Liège Belgium
- University Medical Center Hamburg-Eppendorf Germany
- Vall d'Hebron Institute of Oncology Spain
- Centro di Riferimento Oncologico Italy
- Institut Jules Bordet Belgium
- Breast Center Switzerland
- University of Padua Italy
- Université Libre de Bruxelles Belgium
- Antwerp University Hospital Belgium
- Ghent University Belgium
- University of California System United States
- Ludwig-Maximilians-Universität München Germany
- Université Catholique de Louvain Belgium
Background COVID-19 appeared in late 2019, causing a pandemic spread. This led to a reorganisation of oncology care in order to reduce the risk of spreading infection between patients and healthcare staff. Here we analysed measures taken in major oncological units in Europe and the USA. Methods A 46-item survey was sent by email to representatives of 30 oncological centres in 12 of the most affected countries. The survey inquired about preventive measures established to reduce virus spread, patient education and processes employed for risk reduction in each oncological unit. Results Investigators from 21 centres in 10 countries answered the survey between 10 April and 6 May 2020. A triage for patients with cancer before hospital or clinic visits was conducted by 90.5% of centres before consultations, 95.2% before day care admissions and in 100% of the cases before overnight hospitalisation by means of phone calls, interactive online platforms, swab test and/or chest CT scan. Permission for caregivers to attend clinic visits was limited in many centres, with some exceptions (ie, for non-autonomous patients, in the case of a new diagnosis, when bad news was expected and for terminally ill patients). With a variable delay period, the use of personal protective equipment was unanimously mandatory, and in many centres, only targeted clinical and instrumental examinations were performed. Telemedicine was implemented in 76.2% of the centres. Separated pathways for COVID-19-positive and COVID-19-negative patients were organised, with separate inpatient units and day care areas. Self-isolation was required for COVID-19-positive or symptomatic staff, while return to work policies required a negative swab test in 76.2% of the centres. Conclusion Many pragmatic measures have been quickly implemented to deal with the health emergency linked to COVID-19, although the relative efficacy of each intervention should be further analysed in large observational studies.
info:eu-repo/semantics/published
SCOPUS: ar.j