COVID-19 Infections and Mortality in Long-term Care Facilities During the First Wave : COVID-19 Infections and Mortality in Montreal Long-term Care Facilities During the First Wave: a Retrospective Cohort Study
A lot has been written about individual risk factors for COVID-19 death, mostly in the hospitalized population. However, even though most deaths around the world have occurred among the frail and elderly, little is known about the risk factors specific to the long-term care population.In this retrospective cohort study, the investigators will review the medical charts of all COVID-19 cases (n=1200) from 17 long-term care facilities in Montreal, Canada, 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. The objective is to influence local and national policies in long-term care facilities, in the hopes of avoiding the tragic spring 2020 outcomes during subsequent waves of COVID-19 or future pandemics.Covariates in the models will be drawn from a review of the medical literature and known risk factors for COVID-19 death. Individual-level covariates include clinical features (age, sex, Charlston comorbidity index, SMAF autonomy score, severity criteria) as well as medical treatments (IV fluids, anticoagulation, oxygen, regular opiates, corticosteroids). Aggregate-level 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)..
| Medienart: |
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Klinische Studie| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
ClinicalTrials.gov - (2021) vom: 28. Juli Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: Link to the current ClinicalTrials.gov record., First posted: March 4, 2021, Last downloaded: ClinicalTrials.gov processed this data on August 09, 2021, Last updated: August 11, 2021 |
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| Study ID: |
NCT04782427 |
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| Veröffentlichungen zur Studie: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
CTG003694550 |
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| 245 | 1 | 0 | |a COVID-19 Infections and Mortality in Long-term Care Facilities During the First Wave |b COVID-19 Infections and Mortality in Montreal Long-term Care Facilities During the First Wave: a Retrospective Cohort Study |
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| 500 | |a Source: Link to the current ClinicalTrials.gov record., First posted: March 4, 2021, Last downloaded: ClinicalTrials.gov processed this data on August 09, 2021, Last updated: August 11, 2021 | ||
| 520 | |a A lot has been written about individual risk factors for COVID-19 death, mostly in the hospitalized population. However, even though most deaths around the world have occurred among the frail and elderly, little is known about the risk factors specific to the long-term care population.In this retrospective cohort study, the investigators will review the medical charts of all COVID-19 cases (n=1200) from 17 long-term care facilities in Montreal, Canada, 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. The objective is to influence local and national policies in long-term care facilities, in the hopes of avoiding the tragic spring 2020 outcomes during subsequent waves of COVID-19 or future pandemics.Covariates in the models will be drawn from a review of the medical literature and known risk factors for COVID-19 death. Individual-level covariates include clinical features (age, sex, Charlston comorbidity index, SMAF autonomy score, severity criteria) as well as medical treatments (IV fluids, anticoagulation, oxygen, regular opiates, corticosteroids). Aggregate-level 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). | ||
| 650 | 2 | |a Infection | |
| 650 | 2 | |a Communicable Diseases | |
| 650 | 2 | |a Respiratory Tract Infections | |
| 650 | 2 | |a Coronavirus Infections | |
| 650 | 2 | |a Virus Diseases | |
| 650 | 4 | |a Medical Condition: Covid19, Death, Infection Viral, Infections, Respiratory, Infection, Coronavirus, Elderly Infection, Old Age; Dementia, Epidemic Disease | |
| 650 | 4 | |a Study Type: Observational | |
| 650 | 4 | |a Recruitment Status: Completed | |
| 650 | 4 | |a 610 | |
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