Leveraging Implementation Science to Address Health Disparities in Genomic Medicine
Examples from the Field
Bibliographic Data
| ID | 15314873 |
|---|---|
| Authors | Megan C Roberts (0000-0003-3434-2773, University of North Carolina at Chapel Hill, corresponding author), George A Mensah (0000-0002-0387-5326, National Heart Lung and Blood Institute), Muin J Khoury (0000-0002-9887-443X, Office of Public Health Genomics) |
| Year | 2019 |
| Volume | 29 |
| Issue | Suppl 1 |
| Pages | 187-192 |
| Publication date | 2019-02-21 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Ethnicity & Disease (JOURNAL) |
| Journal identifiers | ISSN: 1049-510X • E-ISSN: 1945-0826 |
| Publisher | Ethnicity & Disease, Inc (PUBLISHER) |
| DOI | 10.18865//ed.29.s1.187 |
| OpenAlex | W4253332328 |
| Language | EN |
The integration of genomic data into screening, prevention, diagnosis, and treatment for clinical and public health practices has been slow and challenging. Implementation science can be applied in tackling the barriers and challenges as well as exploring opportunities and best practices for integrating genomic data into routine clinical and public health practice. In this article, we define the state of disparities in genomic medicine and focus predominantly on late-stage research findings. We use case studies from genetic testing for cardiovascular diseases (familial hypercholesterolemia) and cancer (Lynch syndrome and hereditary breast and ovarian cancer syndrome) in high-risk populations to consider current disparities and related barriers in turning genomic advances into population health impact to advance health equity. Finally, we address how implementation science can address these translational barriers and we discuss the strategic importance of collaborative multi-stakeholder approaches that engage public health agencies, professional societies, academic health and research centers, community clinics, and patients and their families to work collectively to improve population health and reduce or eliminate health inequities.Ethn Dis. 2019;29(Suppl 1):187-192; doi:10.18865/ed.29.S1.187
Biobank · Bioinformatics · Biology · Environmental health · Equity (law · Family medicine · Genomic medicine · Health equity · Pathology · Political science · Population · Population health · Public health · Public relations · Translational research · BRCA gene mutations in cancer · Health and Medical Research Impacts · Medicine · Nursing · Nutrition, Genetics, and Disease
| Citation velocity | historical |
|---|---|
| Highly cited | No |