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Impact of COVID-19 on global burn care
Copyright policy )Impact of COVID-19 on global burn care
Background: Worldwide, different strategies have been chosen to face the COVID-19-patient surge, often affecting access to health care for other patients. This observational study aimed to investigate whether the standard of burn care changed globally during the pan-demic, and whether country acute accent s income, geographical location, COVID-19-transmission pat-tern, and levels of specialization of the burn units affected reallocation of resources and access to burn care.Methods: The Burn Care Survey is a questionnaire developed to collect information on the capacity to provide burn care by burn units around the world, before and during the pandemic. The survey was distributed between September and October 2020. McNemar`s test analyzed differences between services provided before and during the pandemic, chi 2 or Fishers exact test differences between groups. Multivariable logistic regression analyzed the independent effect of different factors on keeping the burn units open during the pandemic.Results: The survey was completed by 234 burn units in 43 countries. During the pandemic, presence of burn surgeons did not change (p = 0.06), while that of anesthetists and dedi-cated nursing staff was reduced (< 0.01), and so did the capacity to manage patients in all age groups (p = 0.04). Use of telemedicine was implemented (p < 0.01), collaboration be-tween burn centers was not. Burn units in LMICs and LICs were more likely to be closed, after adjustment for other factors.Conclusions: During the pandemic, most burn units were open, although availability of standard resources diminished worldwide. The use of telemedicine increased, suggesting the implementation of new strategies to manage burns. Low income was independently associated with reduced access to burn care.(c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Linköping University Sweden
- Shanghai Jiao Tong University China (People's Republic of)
- Universidade de São Paulo Brazil
- Autonomous University of Barcelona Spain
- Harvard University United States
Microsoft Academic Graph classification: Low income Telemedicine Coronavirus disease 2019 (COVID-19) Logistic regression Health care Pandemic medicine Location business.industry medicine.disease Observational study Medical emergency business
Burn Units, :Health Services Administration::Patient Care Management::Delivery of Health Care::Telemedicine [HEALTH CARE], Nursing, Critical Care and Intensive Care Medicine, COVID-19 (Malaltia), Article, :administración de los servicios de salud::gestión de la atención al paciente::prestación sanitaria::telemedicina [ATENCIÓN DE SALUD], Surgical procedures, :virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Burn care, Humans, Standard of care, Burn unit, Burn care; Burn unit; COVID-19; Telemedicine; Surgical procedures; Resource allocation; Standard of care, Resource allocation, Pandemics, :instalaciones, servicios y personal de asistencia sanitaria::centros sanitarios::unidades hospitalarias::unidades de cuidados intensivos::unidades de quemados [ATENCIÓN DE SALUD], Omvårdnad, COVID-19, :Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], Telemedicina, General Medicine, Telemedicine, Emergency Medicine, Surgery, Cremades, Burns, :Health Care Facilities, Manpower, and Services::Health Facilities::Hospital Units::Intensive Care Units::Burn Units [HEALTH CARE], Delivery of Health Care
Burn Units, :Health Services Administration::Patient Care Management::Delivery of Health Care::Telemedicine [HEALTH CARE], Nursing, Critical Care and Intensive Care Medicine, COVID-19 (Malaltia), Article, :administración de los servicios de salud::gestión de la atención al paciente::prestación sanitaria::telemedicina [ATENCIÓN DE SALUD], Surgical procedures, :virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Burn care, Humans, Standard of care, Burn unit, Burn care; Burn unit; COVID-19; Telemedicine; Surgical procedures; Resource allocation; Standard of care, Resource allocation, Pandemics, :instalaciones, servicios y personal de asistencia sanitaria::centros sanitarios::unidades hospitalarias::unidades de cuidados intensivos::unidades de quemados [ATENCIÓN DE SALUD], Omvårdnad, COVID-19, :Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], Telemedicina, General Medicine, Telemedicine, Emergency Medicine, Surgery, Cremades, Burns, :Health Care Facilities, Manpower, and Services::Health Facilities::Hospital Units::Intensive Care Units::Burn Units [HEALTH CARE], Delivery of Health Care
Microsoft Academic Graph classification: Low income Telemedicine Coronavirus disease 2019 (COVID-19) Logistic regression Health care Pandemic medicine Location business.industry medicine.disease Observational study Medical emergency business
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).8 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).Average 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).8 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).Average 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!- Linköping University Sweden
- Shanghai Jiao Tong University China (People's Republic of)
- Universidade de São Paulo Brazil
- Autonomous University of Barcelona Spain
- Harvard University United States
- Louisiana State University Health Sciences Center New Orleans United States
- Singapore General Hospital Singapore
- Tokyo Medical University Japan
- National Defense Medical College Japan
- University Hospitals Birmingham NHS Foundation Trust United Kingdom
- Queen Elizabeth Hospital Birmingham United Kingdom
- University of KwaZulu-Natal South Africa
- Third Military Medical University China (People's Republic of)
- Sheba Medical Center Israel
- Cairo University hospitals Egypt
- Swansea University United Kingdom
- Boston Children's Hospital United States
Background: Worldwide, different strategies have been chosen to face the COVID-19-patient surge, often affecting access to health care for other patients. This observational study aimed to investigate whether the standard of burn care changed globally during the pan-demic, and whether country acute accent s income, geographical location, COVID-19-transmission pat-tern, and levels of specialization of the burn units affected reallocation of resources and access to burn care.Methods: The Burn Care Survey is a questionnaire developed to collect information on the capacity to provide burn care by burn units around the world, before and during the pandemic. The survey was distributed between September and October 2020. McNemar`s test analyzed differences between services provided before and during the pandemic, chi 2 or Fishers exact test differences between groups. Multivariable logistic regression analyzed the independent effect of different factors on keeping the burn units open during the pandemic.Results: The survey was completed by 234 burn units in 43 countries. During the pandemic, presence of burn surgeons did not change (p = 0.06), while that of anesthetists and dedi-cated nursing staff was reduced (< 0.01), and so did the capacity to manage patients in all age groups (p = 0.04). Use of telemedicine was implemented (p < 0.01), collaboration be-tween burn centers was not. Burn units in LMICs and LICs were more likely to be closed, after adjustment for other factors.Conclusions: During the pandemic, most burn units were open, although availability of standard resources diminished worldwide. The use of telemedicine increased, suggesting the implementation of new strategies to manage burns. Low income was independently associated with reduced access to burn care.(c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).