Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition

Ended Project Grant Awarded Last action

Award ID
R01HL157596
Recipient
Awarding agency
Obligated
$6,310,401

Award facts

Assistance listing
93.837 Cardiovascular Diseases Research
Completion date
Originally
Funding
  • $5,460,486.00 Federal
  • $849,915.00 Non-federal
Place of performance
Nashville, TN 37203, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Over 80% of emergency department (ED) patients with acute heart failure (AHF) are admitted to the hospital, with only 10% at high-risk for in-hospital events. We developed and validated a prediction rule (stratify) that identifies ED patients with AHF that may be safe to discharge. If successfully implemented, IT will save substantial resources without sacrificing patient outcomes and help institutions achieve goals for accountable care. Real-world adoption of prediction rules for AHF and other conditions treated in the ED is challenged by barriers such as time-pressured workflow, real-time data availability and quality. A solution would have considerable implications for implementing any clinical decision algorithm. The central objective of this grant is to develop a multilevel approach and the necessary statistical methods to close the GAP in implementation of our AHF risk prediction tool, as a model for other automated risk prediction approaches within an electronic health records system. Through inter-disciplinary collaboration among ED physicians, biostatisticians, qualitative research experts, implementation scientists and bioinformaticians, we propose to rigorously develop and test a clinical decision support-based approach including 1) robust stakeholder engagement to participate in user-centered design and identify approaches to overcome barriers to implementation, 2) overcoming real-time data integration challenges through statistical methods, and 3) a detailed evaluation of effectiveness and implementation in multiple centers. Our proposal will have a broad impact on both acute care practice and risk model implementation by closing the GAP between scientific discovery and health care delivery using risk prediction tools. Importantly, the methods developed here will generalize to other risk prediction tools and be readily translatable to other complex ED-based diseases such as pulmonary embolism, stroke, and copd, thereby maximizing opportunity for impact both scientifically and on patient care.

Transactions

Action Federal Non-federal Date
Amendment $0 $0
Amendment $651,596 $0
Amendment $684,317 $0
Amendment $787,414 $0
Amendment $787,414 $0
Amendment $0 $0
Amendment $0 $0
Amendment $0 $0
Amendment $849,915 $0
Amendment $849,915 $0
Original award $849,915 $849,915
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Subawards

Subrecipient Amount Awarded
Henry Ford Health System Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition -$6,293
Oregon Health & Science University -$1,101
Henry Ford Health System -$18,505
Vanderbilt University $31,364
Vanderbilt University $30,453
Henry Ford Health System $78,478
Oregon Health & Science University $73,175
Vanderbilt University $28,705

Quick answers

Who received award R01HL157596?

R01HL157596 was awarded to Vanderbilt University Medical Center by National Heart Lung and Blood Institute (National Institutes of Health) on September 15, 2021.

How much is award R01HL157596 worth?

$6,310,401 has been obligated on R01HL157596: $5,460,486 in federal funding and $849,915 in non-federal funding.

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