A novel cohorting and isolation strategy for suspected COVID-19 cases during a pandemic
| dc.creator | Patterson, B. | |
| dc.creator | Marks, M. | |
| dc.creator | Martinez-Garcia, G. | |
| dc.creator | Bidwell, G. | |
| dc.creator | Luintel, A. | |
| dc.creator | Ludwig, D. | |
| dc.creator | Parks, T. | |
| dc.creator | Gothard, P. | |
| dc.creator | Thomas, R. | |
| dc.creator | Logan, S. | |
| dc.creator | Shaw, K. | |
| dc.creator | Stone, N. | |
| dc.creator | Brown, M. | |
| dc.date.accessioned | 2020-09-14T12:27:45Z | |
| dc.date.available | 2020-09-14T12:27:45Z | |
| dc.date.issued | 2020-08 | |
| dc.description.abstract | Background The COVID-19 pandemic presents a significant infection prevention and control challenge. The admission of large numbers of patients with suspected COVID-19 disease risks overwhelming the capacity to protect other patients from exposure. The delay between clinical suspicion and confirmatory testing adds to the complexity of the problem. Methods We implemented a triage tool aimed at minimizing hospital-acquired COVID-19 particularly in patients at risk of severe disease. Patients were allocated to triage categories defined by likelihood of COVID-19 and risk of a poor outcome. Category A (low-likelihood; high-risk), B (high-likelihood; high-risk), C (high-likelihood; low-risk) and D (low-likelihood; low-risk). This determined the order of priority for isolation in single-occupancy rooms with Category A the highest. Patients in other groups were cohorted when isolation capacity was limited with additional interventions to reduce transmission. Results Ninety-three patients were evaluated with 79 (85%) receiving a COVID-19 diagnosis during their admission. Of those without a COVID-19 diagnosis: 10 were initially triaged to Category A; 0 to B; 1 to C and 4 to D. All high-risk patients requiring isolation were, therefore, admitted to single-occupancy rooms and protected from exposure. Twenty-eight (30%) suspected COVID-19 patients were evaluated to be low risk (groups C and D) and eligible for cohorting. No symptomatic hospital-acquired infections were detected in the cohorted patients. Discussion Application of a clinical triage tool to guide isolation and cohorting decisions may reduce the risk of hospital-acquired transmission of COVID-19 especially to individuals at the greatest of risk of severe disease. | pt_BR |
| dc.identifier.citation | PATTERSON, B. et al. A novel cohorting and isolation strategy for suspected COVID-19 cases during a pandemic. Journal of Hospital Infection, [S.l.], v. 105, n. 4, p. 632-637, Aug. 2020. | pt_BR |
| dc.identifier.uri | https://repositorio.ufla.br/handle/1/43049 | |
| dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0195670120302759 | pt_BR |
| dc.language | en_US | pt_BR |
| dc.publisher | Elsevier | pt_BR |
| dc.rights | restrictAccess | pt_BR |
| dc.source | Journal of Hospital Infection | pt_BR |
| dc.subject | COVID-19 - Infection prevention | pt_BR |
| dc.subject | COVID-19 - Control | pt_BR |
| dc.subject | Cohorting | pt_BR |
| dc.subject | Risk stratification | pt_BR |
| dc.subject | Triage | pt_BR |
| dc.subject | Pandemic | pt_BR |
| dc.title | A novel cohorting and isolation strategy for suspected COVID-19 cases during a pandemic | pt_BR |
| dc.type | Artigo | pt_BR |
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