R01AG082931
Project Grant
Overview
Grant Description
Multiple Chronic Conditions: Multiple Data Sources (MC COMPARE) - MC COMPARE
Multiple Chronic Conditions: Multiple Data Sources Project Summary
The evidence to guide risk-benefit decisions for patients living with multiple chronic conditions (MCCs) is limited. For example, patients with chronic kidney disease can benefit from tight blood pressure control but are also at risk of adverse events – hypotension, falls, acute kidney injury (AKI) – making treatment difficult.
Trials exploring how best to treat patients with MCC including high blood pressure are being performed: A Collaborative Approach to Managing Hypertension (HTN): COACH Collaboration-Oriented Approach to Controlling High Blood Pressure (Dorr and Koopman) and Electronic Tools to Increase Recognition and Improve Primary Care Management for Hypertension in Chronic Kidney Disease (CKD; Samal and Dykes).
In this proposal, we will aggregate EHR data from multiple institutions into the eCarePlan, an application intended to bring multiple data sources together for care planning using Fast Healthcare Interoperable Resources (FHIR). These enhanced data sets will help us to quantify the ways that aggregating fragmented data can improve clinical trial results and personalized decision making for older adults.
We will then use this dataset to better understand the risk of adverse events in these studies, like falls and AKI, as well as poor clinical outcomes, like strokes and worsening cognitive function. We will proceed in accordance with established steps of data harmonization.
First, we will adapt and implement the eCarePlan tool to automatically extract data needed for the two partner studies on HTN and CKD. We will focus on unrecognized chronic conditions, partner study variables, partner study outcomes, health behaviors, social determinants of health, and adverse event outcomes. We will use optical character recognition (OCR) and natural language processing (NLP) to extract and harmonize data from electronic free text notes and scanned documents.
Second, we will harmonize data and refine the integration process using Findability/Accessibility/Interoperability/Reusability (FAIR) and data readiness frameworks and engage patients and providers to understand how these integrated studies can be matched to patient prognosis and needs.
Third, we will replicate measurement of study criteria and outcomes for both studies. We will provide the resulting interoperable infrastructure openly for all.
Multiple Chronic Conditions: Multiple Data Sources Project Summary
The evidence to guide risk-benefit decisions for patients living with multiple chronic conditions (MCCs) is limited. For example, patients with chronic kidney disease can benefit from tight blood pressure control but are also at risk of adverse events – hypotension, falls, acute kidney injury (AKI) – making treatment difficult.
Trials exploring how best to treat patients with MCC including high blood pressure are being performed: A Collaborative Approach to Managing Hypertension (HTN): COACH Collaboration-Oriented Approach to Controlling High Blood Pressure (Dorr and Koopman) and Electronic Tools to Increase Recognition and Improve Primary Care Management for Hypertension in Chronic Kidney Disease (CKD; Samal and Dykes).
In this proposal, we will aggregate EHR data from multiple institutions into the eCarePlan, an application intended to bring multiple data sources together for care planning using Fast Healthcare Interoperable Resources (FHIR). These enhanced data sets will help us to quantify the ways that aggregating fragmented data can improve clinical trial results and personalized decision making for older adults.
We will then use this dataset to better understand the risk of adverse events in these studies, like falls and AKI, as well as poor clinical outcomes, like strokes and worsening cognitive function. We will proceed in accordance with established steps of data harmonization.
First, we will adapt and implement the eCarePlan tool to automatically extract data needed for the two partner studies on HTN and CKD. We will focus on unrecognized chronic conditions, partner study variables, partner study outcomes, health behaviors, social determinants of health, and adverse event outcomes. We will use optical character recognition (OCR) and natural language processing (NLP) to extract and harmonize data from electronic free text notes and scanned documents.
Second, we will harmonize data and refine the integration process using Findability/Accessibility/Interoperability/Reusability (FAIR) and data readiness frameworks and engage patients and providers to understand how these integrated studies can be matched to patient prognosis and needs.
Third, we will replicate measurement of study criteria and outcomes for both studies. We will provide the resulting interoperable infrastructure openly for all.
Funding Goals
TO ENCOURAGE BIOMEDICAL, SOCIAL, AND BEHAVIORAL RESEARCH AND RESEARCH TRAINING DIRECTED TOWARD GREATER UNDERSTANDING OF THE AGING PROCESS AND THE DISEASES, SPECIAL PROBLEMS, AND NEEDS OF PEOPLE AS THEY AGE. THE NATIONAL INSTITUTE ON AGING HAS ESTABLISHED PROGRAMS TO PURSUE THESE GOALS. THE DIVISION OF AGING BIOLOGY EMPHASIZES UNDERSTANDING THE BASIC BIOLOGICAL PROCESSES OF AGING. THE DIVISION OF GERIATRICS AND CLINICAL GERONTOLOGY SUPPORTS RESEARCH TO IMPROVE THE ABILITIES OF HEALTH CARE PRACTITIONERS TO RESPOND TO THE DISEASES AND OTHER CLINICAL PROBLEMS OF OLDER PEOPLE. THE DIVISION OF BEHAVIORAL AND SOCIAL RESEARCH SUPPORTS RESEARCH THAT WILL LEAD TO GREATER UNDERSTANDING OF THE SOCIAL, CULTURAL, ECONOMIC AND PSYCHOLOGICAL FACTORS THAT AFFECT BOTH THE PROCESS OF GROWING OLD AND THE PLACE OF OLDER PEOPLE IN SOCIETY. THE DIVISION OF NEUROSCIENCE FOSTERS RESEARCH CONCERNED WITH THE AGE-RELATED CHANGES IN THE NERVOUS SYSTEM AS WELL AS THE RELATED SENSORY, PERCEPTUAL, AND COGNITIVE PROCESSES ASSOCIATED WITH AGING AND HAS A SPECIAL EMPHASIS ON ALZHEIMER'S DISEASE. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Portland,
Oregon
972393011
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 05/31/26 to 05/31/27 and the total obligations have increased 195% from $1,242,470 to $3,665,706.
Oregon Health & Science University was awarded
Integrated Data Approach Managing Multiple Chronic Conditions (IDAM MCC)
Project Grant R01AG082931
worth $3,665,706
from National Institute on Aging in September 2023 with work to be completed primarily in Portland Oregon United States.
The grant
has a duration of 3 years 8 months and
was awarded through assistance program 93.866 Aging Research.
The Project Grant was awarded through grant opportunity Demonstration Projects to Promote Use of Interoperable Health Records in Clinical Research (R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 3/5/26
Period of Performance
9/1/23
Start Date
5/31/27
End Date
Funding Split
$3.7M
Federal Obligation
$0.0
Non-Federal Obligation
$3.7M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01AG082931
Transaction History
Modifications to R01AG082931
Additional Detail
Award ID FAIN
R01AG082931
SAI Number
R01AG082931-2214791406
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NN00 NIH National Insitute on Aging
Funding Office
75NN00 NIH National Insitute on Aging
Awardee UEI
NPSNT86JKN51
Awardee CAGE
0YUJ3
Performance District
OR-01
Senators
Jeff Merkley
Ron Wyden
Ron Wyden
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,242,470 | 100% |
Modified: 3/5/26