# Measure development to accelerate the translation of evidence based clinical guidelines into practice

> **NIH NIH U01** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $1,386,475

## Abstract

ABSTRACT. Half of the U.S. adult population has one or more preventable risk factors for cardiovascular
disease (CVD) including hypertension (HTN) and hyperlipidemia, but only 10% are meeting all of their clinical
goals due to suboptimal adoption of guideline recommended care. This is largely because primary care
practices and health care systems are struggling to identify which combination of care structures and
processes they need to implement to become high performing practices. The objective of this proposal is
address this translational gap by developing a reliable, valid, and pragmatic assessment tool that will identify
core features of primary care practices that are related to high performance on CVD-related outcomes. Despite
a large body of research on practice transformation and improvement, we lack a systematic and scalable
approach to identifying which features of primary care infrastructure and processes are associated with better
patient outcomes. This lack of a reliable, validated, pragmatic assessment tool to define the practice changes
that drive high performance in primary care continues to impede implementation of evidence-based care for
chronic disease prevention and the translation of innovations in health care into routine practice. We therefore
propose a mixed-methods study combining data analytics, survey techniques in the context of a two-stage
Delphi process and qualitative in-depth interviews to delineate and prioritize elements of care structure and
processes (e.g., decision support) that are hypothesized to be associated with improvements in CVD-related
patient outcomes. We will then develop and validate a measurement tool for identifying gaps in care structures
and processes that are amenable to change, and if implemented, will improve CVD-related patient outcomes.
A strength of this proposal is collaboration across four Clinical and Translational Science Institutes: (1) New
York University School of Medicine (NYUSoM)-Health and Hospitals CTSI (NYU-H+H CTSI), (2) Oregon
Health & Science University (OHSU) Oregon Clinical Translational Research Institute (OCTRI), (3) Medical
University of South Carolina's South Carolina Clinical Translational Institute (SCTR), and (4) the Institute for
Clinical and Translational Research at Einstein and Montefiore (ICTR), and six geographically diverse
partnering national practice networks that will form the research team for this proposal. The proposed research
is significant because it will fill a methodological gap that impedes translation of innovations in health care into
routine practice. Findings from use of the assessment tool will therefore provide a much-needed roadmap for
building capacity and infrastructure for practice transformation, continuous quality improvement (i.e., adoption
and sustainability of innovation) and improvements in population health.

## Key facts

- **NIH application ID:** 9978963
- **Project number:** 5U01TR002008-04
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Carolyn Anne Berry
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,386,475
- **Award type:** 5
- **Project period:** 2017-08-17 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9978963

## Citation

> US National Institutes of Health, RePORTER application 9978963, Measure development to accelerate the translation of evidence based clinical guidelines into practice (5U01TR002008-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9978963. Licensed CC0.

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