Prediction of Practice Change in Primary Care Following Guideline Updates
Project Number1R03HS030011-01A1
Former Number1R03HS030011-01
Contact PI/Project LeaderHENDRIX, NATHANIEL DAVID
Awardee OrganizationAMERICAN BOARD OF FAMILY MEDICINE, INC.
Description
Abstract Text
PROJECT SUMMARY
The central idea of evidence-based medicine is that clinical decisions should be made on the basis of the
best available research. Few practicing clinicians can stay current with the vast quantity of clinical research
relevant to their patients, though. This is especially true for primary care providers, who care for patients
with a broad range of conditions. Treatment guidelines are therefore an essential mechanism for
disseminating research and promoting high-quality clinical care among physicians who cannot directly
engage with published clinical research. Still, the time to widespread guideline implementation is too long.
Delaying the uptake of guidelines has been associated with worse patient outcomes, particularly among
patients from marginalized groups. Using the American Family Cohort, the nation’s largest clinical repository
of electronic health records from primary care, we will analyze the response to four guideline updates that
have different barriers to implementation: expansion of screening for Hepatitis C virus; vaccination of older
adults against pneumococcus with newly approved vaccines; provision of preexposure prophylaxis (PrEP)
for Human Immunodeficiency Virus; and initiation of screening for colorectal cancer at age 45 among people
of average risk. Our analyses will support the dissemination of guidelines into primary care in two distinct
ways. First, we will assess the predictors of time to practice change in the direction of more guideline-
concordant care for each of the four guideline update case studies, as determined by change-point analysis.
We will use a multi-level model to then predict time to practice change, integrating patient, provider, and
practice site characteristics. This will allow guideline developers to forecast the uptake and potential impact
– including impact on disparities – of potential guideline updates. Next, we will develop phenotypes of
clinicians based on their response to guideline updates by using latent class analysis to identify distinctive
patterns of practice change across the combination of all four guideline updates. This latent class analysis
will show how enabling factors and barriers to implementation can interact to generate predictable patterns
of guideline response. In sum, our second aim will support market segmentation and the individualization of
educational outreach that can improve the efficiency and impact of dissemination activities.
Public Health Relevance Statement
PROJECT NARRATIVE
Guidelines for treating diseases are an important way that primary care providers learn about new research.
However, it takes too long for guidelines to be adopted into practice, which harms patients. We will build
tools to help create more impactful guidelines and to support educational outreach on guideline updates.
No Sub Projects information available for 1R03HS030011-01A1
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