COVID-19 Infections and Mortality in Long-term Care Facilities During the First Wave
The medical charts of all COVID-19 cases (n=1200) from 17 long-term care facilities in Montreal, Canada will be reviewed, to compare patients who survived to patients who did not survive. Through multilevel logistic regression, the risk of death will be estimated for institutional predictors of mortality, while controlling for individual risk factors. Individual covariates include clinical features (age, sex, Charlston comorbidity index, SMAF autonomy score, severity criteria) and medical treatments (IV fluids, anticoagulation, oxygen, regular opiates, corticosteroids). Aggregate covariates include epidemiological data (attack rates, timing of outbreak) and institutional characteristics (number of beds, air exchange per hour, presence of a dedicated COVID-19 unit at the time of outbreak, staff compliance to infection control measures, staff infection rates, understaffing, proportion of semi-private rooms, proportion of wandering wards and other special units).
Start: January 2021