This an application for a K23 Mentored Patient-Oriented Career Development Award for Dr. Valy Fontil, an Assistant Adjunct Professor in General Internal Medicine at the University of California San Francisco who is establishing himself as a young investigator in implementation research of health systems-based strategies to improve hypertension control in underserved, high-risk populations. This K23 award will provide him with the necessary support evaluation of a hypertension management invention in 12 safety-net clinics and test a novel technology-enabled intervention that engages patients and enables shared decision-making between patients and providers to optimize visit frequency, treatment intensification, and medication adherence for treatment of hypertension. To achieve these goals, Dr. Fontil has assembled a multi-disciplinary mentoring team comprised of a primary mentor, Dr. Kirsten Bibbins-Doming, a renowned expert in cardiovascular epidemiology, health disparities research, and simulation modeling, and two co-mentors: Dr. Mark Pletcher, renowned cardiovascular epidemiologist with added expertise in clinical decision-making, decision analysis, and use of emerging technology for improving health; and Dr. Charles McCulloch, Head of the Division of Biostatistics at UCSF and expert in advanced statistical analysis of longitudinal data. Safety-net healthcare institutions, which care for our highest-risk populations, must play a pivotal role in achieving national priorities for improved BP control and reducing HTN disparities. Therefore, it is essential to develop and test practical solutions that these healthcare systems can employ within their resource constraints. Dr. Fontil will build on findings from his previous work in simulation modeling and real-world pilot intervention to focus on optimizing two key processes of care (visit frequency, treatment intensification, and medication adherence) that can improve BP control to upward of 80%. First, he will evaluate race-specific effects of a health system intervention in safety net clinics (Aims 1&2) on improving these processes. Then he will adapt and test a technology-enabled intervention for feasibility of improving these processes in patients at safety-net clinics (Aim 3). The proposed research will provide the foundation and additional information needed to design a randomized controlled trial of a technology-enabled intervention to improve overall BP control and reduce racial disparities in BP control across a consortium of safety-net healthcare systems. This will form the basis of my future R01 proposal. Through a focused program of mentored training and coursework, the candidate will gain advanced skills and expertise in (1) training in using and analyzing electronic health record data for health services research, (2) advanced techniques in computer microsimulation modeling, and (3) foundational concepts and skills at the intersection of data science, technology and healthcare.

Public Health Relevance

Project Narrrative Safety-net healthcare institutions, which care for our highest-risk populations, must play a pivotal role in achieving national priorities for improved BP control and reducing HTN disparities. We propose a set of research aims that will iteratively construct and test an intervention that is practical and scalable in resource- limited healthcare settings that care for vulnerable populations. Findings will inform best practices for health system interventions to improve BP control in high-risk populations and how to implement these interventions in the usual healthcare settings that care for these patients.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
1K23HL136899-01A1
Application #
9527540
Study Section
NHLBI Mentored Patient-Oriented Research Review Committee (MPOR)
Program Officer
Huang, Li-Shin
Project Start
2018-05-10
Project End
2023-02-28
Budget Start
2018-05-10
Budget End
2019-02-28
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118