Selected article for: "decision maker and hospital decision maker"

Author: Menachemi, Nir; Dixon, Brian E; Wools-Kaloustian, Kara K; Yiannoutsos, Constantin T; Halverson, Paul K
Title: How Many SARS-CoV-2-Infected People Require Hospitalization? Using Random Sample Testing to Better Inform Preparedness Efforts.
  • Cord-id: uk8rjyne
  • Document date: 2021_2_25
  • ID: uk8rjyne
    Snippet: CONTEXT Existing hospitalization ratios for COVID-19 typically use case counts in the denominator, which problematically underestimates total infections because asymptomatic and mildly infected persons rarely get tested. As a result, surge models that rely on case counts to forecast hospital demand may be inaccurately influencing policy and decision-maker action. OBJECTIVE Based on SARS-CoV-2 prevalence data derived from a statewide random sample (as opposed to relying on reported case counts),
    Document: CONTEXT Existing hospitalization ratios for COVID-19 typically use case counts in the denominator, which problematically underestimates total infections because asymptomatic and mildly infected persons rarely get tested. As a result, surge models that rely on case counts to forecast hospital demand may be inaccurately influencing policy and decision-maker action. OBJECTIVE Based on SARS-CoV-2 prevalence data derived from a statewide random sample (as opposed to relying on reported case counts), we determine the infection-hospitalization ratio (IHR), defined as the percentage of infected individuals who are hospitalized, for various demographic groups in Indiana. Furthermore, for comparison, we show the extent to which case-based hospitalization ratios, compared with the IHR, overestimate the probability of hospitalization by demographic group. DESIGN Secondary analysis of statewide prevalence data from Indiana, COVID-19 hospitalization data extracted from a statewide health information exchange, and all reported COVID-19 cases to the state health department. SETTING State of Indiana as of April 30, 2020. MAIN OUTCOME MEASURES Demographic-stratified IHRs and case-hospitalization ratios. RESULTS The overall IHR was 2.1% and varied more by age than by race or sex. Infection-hospitalization ratio estimates ranged from 0.4% for those younger than 40 years to 9.2% for those older than 60 years. Hospitalization rates based on case counts overestimated the IHR by a factor of 10, but this overestimation differed by demographic groups, especially age. CONCLUSIONS In this first study of the IHR based on population prevalence, our results can improve forecasting models of hospital demand-especially in preparation for the upcoming winter period when an increase in SARS CoV-2 infections is expected.

    Search related documents:
    Co phrase search for related documents
    • Try single phrases listed below for: 1
    Co phrase search for related documents, hyperlinks ordered by date