Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study.

ABSTRACT:

Background

SARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID-19 vulnerability (C-19) index, a model that predicts which patients will be admitted to hospital for treatment of pneumonia or pneumonia proxies, has been developed and proposed as a valuable tool for decision-making during the pandemic. However, the model is at high risk of bias according to the "prediction model risk of bias assessment" criteria, and it has not been externally validated.

Objective

The aim of this study was to externally validate the C-19 index across a range of health care settings to determine how well it br

SUBMITTER: Reps JM 

PROVIDER: S-EPMC8023380 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature