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SSM Qual Res Health ; 1: 100026, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1550085

ABSTRACT

OBJECTIVE: To synthesize qualitative literature exploring the lived experience of healthcare workers (HCWs) who cared for patients during the following infectious disease outbreaks (IDOs): the 2003 SARS epidemic, 2009 H1N1 pandemic, 2012 MERS outbreak, and 2014 EVD epidemic. We aim to reveal the collective experience of HCWs during these four IDOs and to create a reference for comparison of current and future IDOs. METHODS: Three electronic databases were searched, yielding 823 results after duplicates were removed. Forty qualitative and mixed-methods studies met the criteria for full file review. Fourteen studies met the inclusion and exclusion criteria. The data from the Results or Findings sections were manually coded and themes were conceptualized using thematic analysis. RESULTS: Of the 14 studies, 28.6% focused on SARS, 21.4% on H1N1, 21.4% on MERS, and 28.6% on EVD. Studies occurred in six different countries and included physicians, nurses, paramedics, and emergency medical technicians as participants. Five themes were conceptualized: Uncertainty, Adapting to Change, Commitment, Sacrifice, and Resilience. CONCLUSION: This review identified the collective experience of HCWs caring for patients during four 21st century IDOs. This qualitative systematic review offers a reference to compare similarities and differences of other IDOs, including the COVID-19 pandemic.

2.
Can Med Educ J ; 12(4): 143-145, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1441455

ABSTRACT

Given the efficacy of simulations as a medical education tool, the inability to provide them during the COVID-19 pandemic may be detrimental to pre-clinical medical student learning. We developed hybrid simulations, where remote learner participants could direct an in-person assistant. This offered a learning opportunity that was more realistic than fully virtual simulations and abided by public health guidelines. Hybrid simulations provided an opportunity for medical students to practice real-time clinical decision making in a remote, high-fidelity, simulated environment. This approach could be adapted for rural healthcare students and professionals to participate in simulations without a local simulation centre.


BACKGROUND: Compte tenu de l'efficacité des simulations en tant qu'outil d'éducation médicale, l'impossibilité d'en proposer pendant la pandémie de la COVID-19 pourrait nuire à l'apprentissage préclinique des étudiants en médecine. Nous avons conçu des simulations hybrides, où les apprenants peuvent diriger à distance un assistant qui intervient en personne. Ces simulations permettent un apprentissage plus réaliste que celles qui sont entièrement virtuelles tout en respectant les directives en matière de santé publique. Les simulations hybrides ont permis aux étudiants en médecine de s'exercer à distance à la prise de décision clinique en temps réel dans un environnement simulé de haute fidélité. Cette approche pourrait être adaptée pour permettre aux étudiants et aux professionnels de la santé en milieu rural, qui ne disposent pas d'un centre de simulation local, de néanmoins participer à des simulations.

3.
CMAJ Open ; 9(1): E181-E188, 2021.
Article in English | MEDLINE | ID: covidwho-1124785

ABSTRACT

BACKGROUND: Clinical data on patients admitted to hospital with coronavirus disease 2019 (COVID-19) provide clinicians and public health officials with information to guide practice and policy. The aims of this study were to describe patients with COVID-19 admitted to hospital and intensive care, and to investigate predictors of outcome to characterize severe acute respiratory infection. METHODS: This observational cohort study used Canadian data from 32 selected hospitals included in a global multisite cohort between Jan. 24 and July 7, 2020. Adult and pediatric patients with a confirmed diagnosis of COVID-19 who received care in an intensive care unit (ICU) and a sampling of up to the first 60 patients receiving care on hospital wards were included. We performed descriptive analyses of characteristics, interventions and outcomes. The primary analyses examined in-hospital mortality, with secondary analyses of the length of hospital and ICU stay. RESULTS: Between January and July 2020, among 811 patients admitted to hospital with a diagnosis of COVID-19, the median age was 64 (interquartile range [IQR] 53-75) years, 495 (61.0%) were men, 46 (5.7%) were health care workers, 9 (1.1%) were pregnant, 26 (3.2%) were younger than 18 years and 9 (1.1%) were younger than 5 years. The median time from symptom onset to hospital admission was 7 (IQR 3-10) days. The most common symptoms on admission were fever, shortness of breath, cough and malaise. Diabetes, hypertension and cardiac, kidney and respiratory disease were the most common comorbidities. Among all patients, 328 received care in an ICU, admitted a median of 0 (IQR 0-1) days after hospital admission. Critically ill patients received treatment with invasive mechanical ventilation (88.8%), renal replacement therapy (14.9%) and extracorporeal membrane oxygenation (4.0%); 26.2% died. Among those receiving mechanical ventilation, 31.2% died. Age was an influential predictor of mortality (odds ratio per additional year of life 1.06, 95% confidence interval 1.03-1.09). INTERPRETATION: Patients admitted to hospital with COVID-19 commonly had fever, respiratory symptoms and comorbid conditions. Increasing age was associated with the development of critical illness and death; however, most critically ill patients in Canada, including those requiring mechanical ventilation, survived and were discharged from hospital.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , Critical Care , Hospitalization , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/therapy , Canada/epidemiology , Comorbidity , Critical Illness , Disease Management , Disease Progression , Female , Humans , Incidence , Intensive Care Units , Male , Middle Aged , Mortality , Pandemics , Pregnancy , Public Health Surveillance , Severity of Illness Index , Young Adult
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