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
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Key facts
Disease
COVID-19Start & end year
2021.02024.0Known Financial Commitments (USD)
$593,566Funder
National Institutes of Health (NIH)Principal Investigator
INVESTIGATOR CARMIT MCMULLENResearch Location
United States of AmericaLead Research Institution
KAISER FOUNDATION RESEARCH INSTITUTEResearch 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.