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Tailoring Cardiac Rehabilitation to Enhance Participation of Older Adults (R01)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Archived

The overall goal of this funding announcement is to elicit applications for novel strategies to enhance referral, participation, and adherence in cardiac rehabilitation (CR) of older and vulnerable patients who are eligible for CR under current Medicare eligibility criteria. Specifically, NIA seeks clinical trials that address one or more specific age-related factors including patient-related issu

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The project “Tailoring Cardiac Rehabilitation to Enhance Participation of Older Adults (R01)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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Participants

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archived

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Description

Description

The overall goal of this funding announcement is to elicit applications for novel strategies to enhance referral, participation, and adherence in cardiac rehabilitation (CR) of older and vulnerable patients who are eligible for CR under current Medicare eligibility criteria. Specifically, NIA seeks clinical trials that address one or more specific age-related factors including patient-related issues, CR program goals and components, and CR program setting-related aspects. These three age-related issues represent distinct, but potentially interrelated, areas that are impacted by advancing age and are not currently addressed in traditional CR programs. Determination of the specific aspects of CR programs that may be better suited to medically complex and vulnerable older adults, such as eligibility, patient-centered goals and outcomes, and novel components and delivery systems may ultimately improve referral, enrollment, completion and overall benefit of this Medicare-supported resource. Successful modified programs should strive to improve function, independence and quality of life while reducing disability, future CV events, readmissions, morbidity and mortality.

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Source reliability

High

Data quality score

100%

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