Effect of the COVID-19 Pandemic on Utilization and Disparities of Acute Inpatient Care Across US Hospitals

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2021
  • Known Financial Commitments (USD)

    $199,787
  • Funder

    Commonwealth Fund
  • Principal Investigator

    Unspecified Thomas Tsai
  • Research Location

    United States of America
  • Lead Research Institution

    Harvard University
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

This project will assess the extent to which non-COVID-19-related medical care and hospital revenue changed over time during the pandemic. Specifically, it will provide an assessment of changes in elective, nonelective, and emergent surgical procedures and medical admissions from March 2020 through the end of the first quarter of 2021 and compare these admissions to those in 2019. The project will examine whether outcomes varied for these procedures during the pandemic stratified by key patient characteristics (e.g., payer type, race, age, sex) and hospital characteristics (e.g., urban/rural, teaching hospital, safety net). It also will measure the changes in revenue experienced by different hospital types. Analyses for utilization will be conducted using the Premier Healthcare Database (PHD), a large U.S.-hospital-based, service-level, all-payer database that contains information on 45 percent of all U.S. hospital discharges from nearly 800 diverse hospitals. Vizient Clinical Database and Revenue files, another discharge-based, all-payer database, will be used to assess changes in hospital revenue. Related Gran