Remote Patient Monitoring of Chronic Disease in Community Health Centers (REDUCE)

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 1R01NR020305-01

Grant search

Key facts

  • Disease

    COVID-19
  • Start & end year

    2021.0
    2024.0
  • Known Financial Commitments (USD)

    $593,566
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    INVESTIGATOR CARMIT MCMULLEN
  • Research Location

    United States of America
  • Lead Research Institution

    KAISER FOUNDATION RESEARCH INSTITUTE
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Individuals with multimorbidityOther

  • Occupations of Interest

    Unspecified

Abstract

PROJECT SUMMARY/ABSTRACT: Clinical trial research has demonstrated that remote patient monitoring (RPM) of chronic disease status can be an effective tool to achieve better control of blood pressure and blood glucose for some populations such as participants in clinical trials and affluent patients. However, little is known though about the effectiveness of RPM in healthcare delivery settings, or in medically underserved populations. The Covid-19 pandemic has brought to the fore the important role that RPM can play in ensuring continuity of care. It also has illustrated the limited infrastructural preparedness of community health centers, which provide care to the most medically underserved patients in the U.S., to provide RPM tools. The proposed study will evaluate the implementation of RPM tools to community health centers for patients with hypertension and type 2 diabetes during the Covid-19 pandemic. The goal of this study is to evaluate the biomedical effects of these RPM interventions, and to gain insights into barriers and facilitators to implementation and adoption of the programs. Our results will inform efforts to ensure that patients in community health centers can benefit from digital RPM interventions and will lay the foundation for large-scale implementation of such interventions.