| Literature DB >> 25956914 |
Basima Almomani1, Ahmed F Hawwa2,3, Nicola A Goodfellow4, Jeffrey S Millership5, James C McElnay6.
Abstract
BACKGROUND: Pharmacogenetics is a rapidly growing field that aims to identify the genes that influence drug response. This science can be used as a powerful tool to tailor drug treatment to the genetic makeup of individuals. The present study explores the coverage of the topic of pharmacogenetics and its potential benefit in personalised medicine by the UK newsprint media.Entities:
Mesh:
Year: 2015 PMID: 25956914 PMCID: PMC4630890 DOI: 10.1186/s12881-015-0172-3
Source DB: PubMed Journal: BMC Med Genet ISSN: 1471-2350 Impact factor: 2.103
Figure 1Overview of the content analysis methodology adopted.
Inter-coder agreement on items within the coding frame
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|---|---|---|
| Main themes (8 choices) | 90% | 0.88 |
| Key perspectives (7 choices) | 90% | 0.79 |
| Benefit stated (yes/no) | 100% | 1.0 |
| Risk stated (yes/no) | 100% | 1.0 |
| Barrier stated (yes/no) | 90% | 0.79 |
| Quotation stated (yes/no) | 100% | 1.0 |
| Source of information (5 choices) | 95% | 0.91 |
| Main voice (4 choices) | 95% | 0.89 |
| Article slant (4 choices) | 100% | 1.0 |
| Main claim (3 choices) | 85% | 0.58 |
| Quality of information (3 choices) | 80% | 0.57 |
Figure 2Number of articles that mentioned PGx in the UK national newspapers studied superimposed with PubMed articles containing PGx as a key word.
Figure 3The distribution of PGx articles (n = 96) according to (A) the main themes covered and (B) the key perspectives addressed.
Figure 4Reported benefits (A) and risks (B) associated with PGx testing (n = 96 articles).
Figure 5Reported barriers to adoption of PGx testing (n = 96 articles).
Comparison of articles with scientists and journalists as the main commentator
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|---|---|---|---|
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| 605.8 | 567.1 | NS |
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| 58 (100%) | 37 (97.4%) | NS |
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| 2.97 | 2.50 | NS |
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| 15 (25.9%) | 18 (47.4%) |
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| 0.38 | 0.74 |
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| 33 (56.9%) | 22 (57.9%) | NS |
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| 0.91 | 1.0 | NS |
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| 53 (91.4%) | 23 (60.5%) |
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| 2.14 | 1.16 |
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| 44 (75.9%) | 19 (50%) |
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| 18 (31%) | 10 (26.3%) | NS |
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| 34 (58.6%) | 23 (60.5%) | NS |
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| 10 (17.2%) | 1 (2.6%) |
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