| Literature DB >> 34903416 |
Pompermaier Laura1, Adorno José2, Allorto Nikki3, Altarrah Khaled4, Juan Barret5, Carter Jeffery6, Chamania Shobha7, Chong Si Jack8, Corlew Scott9, Depetris Nadia10, Elmasry Moustafa11, Junlin Liao12, Haik Josef13, Horwath Briana14, Keswani Sunil15, Kiyozumi Tetsuro16, Leon-Villapalos Jorge17, Luo Gaoxing18, Matsumura Hajime19, Miranda-Altamirano Ariel20, Moiemen Naiem21, Nakarmi Kiran22, Ahmed Nawar23, Ntirenganya Faustin24, Olekwu Anthony25, Potokar Tom26, Qiao Liang27, Rai Shankar Man28, Steinvall Ingrid11, Tanveer Ahmed29, Philipe Luiz Vana Molina30, Wall Shelley31, Fisher Mark14.
Abstract
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 pandemic, and whether country´s income, geographical location, COVID-19-transmission pattern, and levels of specialization of the burn units affected reallocation of resources and access to burn care.Entities:
Keywords: Burn care; Burn unit; COVID-19; Resource allocation; Standard of care; Surgical procedures; Telemedicine
Mesh:
Year: 2021 PMID: 34903416 PMCID: PMC8664090 DOI: 10.1016/j.burns.2021.11.010
Source DB: PubMed Journal: Burns ISSN: 0305-4179 Impact factor: 2.609
Fig. 1Respondent Bun Units by country.
Characteristics of the respondents burn units, n = 234.
| Country | Burn units, n | WHO-Regions | Income groups | CoV-19 transmission pattern |
|---|---|---|---|---|
| Ethiopia | 12 | African Region | LICs | Community |
| Rwanda | 1 | African Region | LICs | Cluster |
| Ghana | 2 | African Region | LMICs | Community |
| Ivory Coast | 1 | African Region | LMICs | Community |
| Nigeria | 14 | African Region | LMICs | Community |
| South Africa | 8 | African Region | UMICs | Community |
| Egypt | 5 | Eastern Mediterranean Region | LMICs | Cluster |
| Sudan | 1 | Eastern Mediterranean Region | LICs | Community |
| Morocco | 3 | Eastern Mediterranean Region | LMICs | Cluster |
| Tunisia | 1 | Eastern Mediterranean Region | LMICs | Cluster |
| Kuwait | 1 | Eastern Mediterranean Region | HICs | Community |
| Oman | 1 | Eastern Mediterranean Region | HICs | Community |
| Austria | 1 | European Region | HICs | Community |
| Belgium | 1 | European Region | HICs | Community |
| Croatia | 1 | European Region | HICs | Community |
| Denmark | 1 | European Region | HICs | Community |
| Hungary | 1 | European Region | HICs | Community |
| Israel | 5 | European Region | HICs | Community |
| Romania | 1 | European Region | HICs | Community |
| Spain | 4 | European Region | HICs | Community |
| Sweden | 2 | European Region | HICs | Community |
| Switzerland | 2 | European Region | HICs | Community |
| United Kingdom | 19 | European Region | HICs | Community |
| Germany | 1 | European Region | HICs | Cluster |
| Italy | 2 | European Region | HICs | Cluster |
| Portugal | 3 | European Region | HICs | Cluster |
| Brazil | 27 | Region of the Americas | UMICs | Community |
| Mexico | 1 | Region of the Americas | UMICs | Community |
| Canada | 5 | Region of the Americas | HICs | Community |
| United States | 16 | Region of the Americas | HICs | Community |
| Bangladesh | 26 | South-East Asia Region | LMICs | Community |
| Nepal | 4 | South-East Asia Region | LMICs | Cluster |
| Sri Lanka | 1 | South-East Asia Region | LMICs | Cluster |
| India | 8 | South-East Asia Region | LMICs | Cluster |
| Indonesia | 2 | South-East Asia Region | UMICs | Community |
| Thailand | 3 | South-East Asia Region | UMICs | Cluster |
| Fiji | 1 | Western Pacific Region | UMICs | Sporadic |
| China | 4 | Western Pacific Region | UMICs | Cluster |
| Malaysia | 1 | Western Pacific Region | UMICs | Cluster |
| Australia | 3 | Western Pacific Region | HICs | Cluster |
| Japan | 36 | Western Pacific Region | HICs | Cluster |
| Singapore | 1 | Western Pacific Region | HICs | Cluster |
| South Korea | 1 | Western Pacific Region | HICs | Cluster |
Total respondent countries = 43.
Updated country income classifications for the World Bank’s 2020 fiscal year. High-income countries = HICs, Upper middle-income countries = UMICs, Lower middle-income countries = LMICs, Low-income countries = LICs.
According to data on the cumulative cases of COVID-19 per 1 million population published by the WHO at the 11 October 2020: sporadic cases (one or more, imported or locally detected), clusters of cases (clustered in time, geographic location and/or by common exposures), community transmission (larger outbreaks of local transmission in unrelated clusters, in several areas of the country).
Fig. 2Services provided by the respondents burn units before and during the pandemic. * = p < 0.05.
Fig. 3Reallocation of resources among the respondents burn units during the pandemic.
Factors independently associated with keeping a burn unit open during the pandemic.
| Factors | Adjusted OR | 95% CI | p |
|---|---|---|---|
| Not specialized Burn Units | REF | ||
| Specialized Burn Units | 2.52 | 0.78–8.10 | 0.12 |
| HICs and UMICs | REF | ||
| LMICs and LICs | 0.26 | 0.09–0.72 | 0.01 |
| Cluster + sporadic transmission | REF | ||
| Community transmission | 2.21 | 0.82–6.00 | 0.15 |
n = 197. Area under the Receiver Operating Characteristics curve (AUC) = 0.73 (CI: 0.65–0.82). Odds Ratio= OR. Confidence Interval= CI.