The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities.

data science health equity health promotion implementation science personalized medicine precision analytics

Journal

JACC. Advances
ISSN: 2772-963X
Titre abrégé: JACC Adv
Pays: United States
ID NLM: 9918419284106676

Informations de publication

Date de publication:
Jan 2024
Historique:
medline: 20 2 2024
pubmed: 20 2 2024
entrez: 20 2 2024
Statut: ppublish

Résumé

Precision prevention embraces personalized prevention but includes broader factors such as social determinants of health to improve cardiovascular health. The quality, quantity, precision, and diversity of data relatable to individuals and communities continue to expand. New analytical methods can be applied to these data to create tools to attribute risk, which may allow a better understanding of cardiovascular health disparities. Interventions using these analytic tools should be evaluated to establish feasibility and efficacy for addressing cardiovascular disease disparities in diverse individuals and communities. Training in these approaches is important to create the next generation of scientists and practitioners in precision prevention. This state-of-the-art review is based on a workshop convened to identify current gaps in knowledge and methods used in precision prevention intervention research, discuss opportunities to expand trials of implementation science to close the health equity gaps, and expand the education and training of a diverse precision prevention workforce.

Identifiants

pubmed: 38375059
doi: 10.1016/j.jacadv.2023.100759
pmc: PMC10876066
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Thomas A Pearson (TA)

College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida, USA.

Debbie Vitalis (D)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Charlotte Pratt (C)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Rebecca Campo (R)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Antonis A Armoundas (AA)

Cardiovascular Research Center, Massachusetts General Hospital and Broad Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

David Au (D)

Center of Innovation for Veteran-Centered and Value-Driven Care, University of Washington, Seattle, Washington, USA.

Bettina Beech (B)

UH Population Health, University of Houston, Houston, Texas, USA.

Olga Brazhnik (O)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Christopher G Chute (CG)

Johns Hopkins Medicine, Institute for Clinical and Translational Research, Baltimore, Maryland, USA.

Karina W Davidson (KW)

Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New Hyde Park, New York, USA.
Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.

Ana V Diez-Roux (AV)

Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.

Lawrence J Fine (LJ)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Davera Gabriel (D)

Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Peter Groenveld (P)

Center for Health Care Transformation and Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Jaclyn Hall (J)

Department of Health Outcomes and Biomedical Informatics, Institute for Child Health Policy, College of Medicine, University of Florida, Gainesville, Florida, USA.

Alison B Hamilton (AB)

Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.

Hui Hu (H)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Heng Ji (H)

Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, Illinois, USA.

Amy Kind (A)

Center for Health Disparities Research (CHDR), University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.

William E Kraus (WE)

Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, North Carolina, USA.

Harlan Krumholz (H)

Institute for Social and Policy Studies, of Investigative Medicine and of Public Health (Health Policy), Yale University, New Haven, Connecticut, USA.

George A Mensah (GA)

Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Raina M Merchant (RM)

Center for Health Care Transformation and Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Dariush Mozaffarian (D)

Friedman School of Nutrition Science & Policy, Tufts University, Medford, Massachusetts, USA.

David M Murray (DM)

Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland, USA.

Dianne Neumark-Sztainer (D)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

Maya Petersen (M)

Division of Biostatistics, and UCSF-UC Berkeley Program in Computational Precision Health, School of Public Health, University of California-Berkeley, Berkeley, California, USA.
University of California-San Francisco, San Francisco, California, USA.

David Goff (D)

Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Classifications MeSH