Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention
Genetic risk scores (GRS) are an emerging and rapidly evolving genomic medicine innovation that may contribute to more precise risk stratification for disease prevention. Inclusion of GRS in routine medical care is imminent, and understanding how physicians perceive and intend to utilize GRS in prac...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009629 |
| _version_ | 1797317158624034816 |
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| author | Charles A. Brunette Elizabeth J. Harris Ashley A. Antwi Amy A. Lemke Benjamin J. Kerman Jason L. Vassy |
| author_facet | Charles A. Brunette Elizabeth J. Harris Ashley A. Antwi Amy A. Lemke Benjamin J. Kerman Jason L. Vassy |
| author_sort | Charles A. Brunette |
| collection | DOAJ |
| description | Genetic risk scores (GRS) are an emerging and rapidly evolving genomic medicine innovation that may contribute to more precise risk stratification for disease prevention. Inclusion of GRS in routine medical care is imminent, and understanding how physicians perceive and intend to utilize GRS in practice is an important first step in facilitating uptake. This dataset was derived from an electronic survey and comprises one of the first, largest, and broadest samples of United States primary care physician perceptions on the clinical decision-making, benefits, barriers, and utility of GRS to date. The dataset is nearly complete (<1% missing data) and contains responses from 369 PCPs spanning 58 column variables. The public repository includes minimally filtered, de-identified data, all underlying survey versions and items, a data dictionary, and associated analytic files. |
| first_indexed | 2024-03-08T03:30:51Z |
| format | Article |
| id | doaj.art-f4ddc31fbe61498a9d3f6f6d6795ba9d |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:51Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f4ddc31fbe61498a9d3f6f6d6795ba9d2024-02-11T05:10:34ZengElsevierData in Brief2352-34092024-02-0152109930Data from a national survey of United States primary care physicians on genetic risk scores for common disease preventionCharles A. Brunette0Elizabeth J. Harris1Ashley A. Antwi2Amy A. Lemke3Benjamin J. Kerman4Jason L. Vassy5Veterans Affairs Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Corresponding author at: VA Boston Healthcare System, 150 S Huntington Ave, Boston, MA 02130, USA.Veterans Affairs Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USAVeterans Affairs Boston Healthcare System, Boston, MA, USANorton Children's Research Institute, University of Louisville School of Medicine, Louisville, KY, USADepartment of Medicine, Harvard Medical School, Boston, MA, USA; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USAVeterans Affairs Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Precision Population Health, Ariadne Labs, Boston, MA, USAGenetic risk scores (GRS) are an emerging and rapidly evolving genomic medicine innovation that may contribute to more precise risk stratification for disease prevention. Inclusion of GRS in routine medical care is imminent, and understanding how physicians perceive and intend to utilize GRS in practice is an important first step in facilitating uptake. This dataset was derived from an electronic survey and comprises one of the first, largest, and broadest samples of United States primary care physician perceptions on the clinical decision-making, benefits, barriers, and utility of GRS to date. The dataset is nearly complete (<1% missing data) and contains responses from 369 PCPs spanning 58 column variables. The public repository includes minimally filtered, de-identified data, all underlying survey versions and items, a data dictionary, and associated analytic files.http://www.sciencedirect.com/science/article/pii/S2352340923009629Cardiovascular diseaseDisease preventionHealth disparitiesPolygenic risk scoresProstate cancer |
| spellingShingle | Charles A. Brunette Elizabeth J. Harris Ashley A. Antwi Amy A. Lemke Benjamin J. Kerman Jason L. Vassy Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention Data in Brief Cardiovascular disease Disease prevention Health disparities Polygenic risk scores Prostate cancer |
| title | Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention |
| title_full | Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention |
| title_fullStr | Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention |
| title_full_unstemmed | Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention |
| title_short | Data from a national survey of United States primary care physicians on genetic risk scores for common disease prevention |
| title_sort | data from a national survey of united states primary care physicians on genetic risk scores for common disease prevention |
| topic | Cardiovascular disease Disease prevention Health disparities Polygenic risk scores Prostate cancer |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923009629 |
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