| Literature DB >> 31632127 |
Yazun Jarrar1, Rami Mosleh2, Mohammed Hawash2, Qais Jarrar3.
Abstract
BACKGROUND: Testing by pharmacogenomics (PGx) aims to reduce the side-effects of medicines and to optimize therapy. AIM: To ascertain the knowledge and attitudes towards PGx among pharmacy students in Jordan and West Bank of Palestine (WBP).Entities:
Keywords: Jordan; West Bank of Palestine; knowledge; pharmacogenomics; pharmacy students
Year: 2019 PMID: 31632127 PMCID: PMC6789177 DOI: 10.2147/PGPM.S222705
Source DB: PubMed Journal: Pharmgenomics Pers Med ISSN: 1178-7066
Demographic Data Of The Participating Students
| Parameter | Frequency (Percentage) |
|---|---|
| <20 | 59 (12.7%) |
| 20–24 | 347 (74.5%) |
| >24 | 53 (11.4%) |
| Missing | 7 (1.5%) |
| Total | 466 (100%) |
| Jordan | 262 (56.2%) |
| West Bank of Palestine | 190 (40.8%) |
| Missing | 14 (3%) |
| Total | 466 (100%) |
| Male | 78 (16.7%) |
| Female | 360 (77.3%) |
| Missing | 28 (6%) |
| Total | 466 (100%) |
| Al-Zaytoonah University of Jordan | 140 (30%) |
| Al-Isra’a University | 59 (12.7%) |
| University of Jordan | 78 (16.7%) |
| An-Najah National University | 131 (28.1%) |
| Birzeit University | 49 (10.5%) |
| Missing | 9 (1.9%) |
| Total | 466 (100%) |
| Pharmaceutical Science | 382 (82%) |
| Doctor of Pharmacy | 82 (17.6%) |
| Missing | 2 (0.4%) |
| Total | 466 (100%) |
| 50–59 | 9 (1.9%) |
| 60–69 | 66 (14.2%) |
| 70–79 | 144 (30.9%) |
| 80–89 | 161 (34.5%) |
| 90–100 | 78 (16.7%) |
| Missing | 8 (1.7%) |
| Total | 466 (100%) |
| First | 14 (3%) |
| Second | 68 (14.6% |
| Third | 84 (18%) |
| Fourth | 151 (32.4%) |
| Fifth | 119 (25.5%) |
| Master of Science | 21 (4.5%) |
| Missing | 9 (1.9%) |
| Total | 466 (100%) |
Educational Exposure To PGx
| Question | Frequency (Percentage) |
|---|---|
| Yes | 372 (79.8%) |
| I am not sure | 48 (10.3%) |
| No | 41 (8.8%) |
| Missing | 5 (1.1%) |
| Total | 466 (100%) |
| University lectures | 342 (73.4%) |
| Scientific conferences | 12 (2.6%) |
| Social media | 94 (20.2%) |
| Television programs | 9 (1.9%) |
| Missing | 9 (1.9%) |
| Total | 466 (100%) |
| 0 | 108 (23.2%) |
| 1 | 185 (39.7%) |
| 2 | 85 (18.2%) |
| More than 2 | 80 (17.2%) |
| Missing | 8 (1.7%) |
| Total | 466 (100%) |
| <3 | 258 (55.4%) |
| 3–5 | 104 (22.3%) |
| 6–10 | 53 (11.4%) |
| >10 | 42 (9%) |
| Missing | 9 (1.9%) |
| Total | 466 (100%) |
| Yes | 47 (10.1%) |
| I am not sure | 125 (26.8%) |
| No | 281 (60.3%) |
| Missing | 13 (2.8%) |
| Total | 466 (100%) |
| Yes | 183 (39.3%) |
| I am not sure | 181 (38.8%) |
| No | 93 (20%) |
| Missing | 9 (1.9%) |
| Total | 466 (100%) |
PGx Knowledge Among Participant Pharmacy Students In Jordan And West Bank Of Palestine (n = 466)
| Question | I Know | I Am Not Sure | I Do Not Know | Missing |
|---|---|---|---|---|
| Inherited genetic variants may influence the drug response | 448 (96.1%) | 7 (1.5%) | 5 (1.1%) | 6 (1.3%) |
| Inter-individual variation in response to drugs and toxicity may be due to inherited genetic variants | 433 (92.9%) | 14 (3%) | 14 (3%) | 5 (1.1%) |
| There is an inter-ethnic variation in the drug response | 410 (88%) | 31 (6.7%) | 20 (4.3%) | 5 (1.1%) |
| Inter-individual variation in pharmacokinetic parameters may be due to genetic variations | 383 (82.2%) | 47 (10.1%) | 31 (6.7%) | 5 (1.1%) |
| Inter-individual variation in pharmacodynamics, and the interaction between the drugs and molecular targets, may be due to genetic variations | 365 (78.3%) | 64 (13.7%) | 31 (6.7%) | 6 (1.3%) |
| Some patients have a high risk of drug toxicity due to inherited genetic variants | 374 (80.3%) | 57 (12.2%) | 27 (5.8%) | 8 (1.7%) |
| Some patients do not respond to medicines due to some inherited variants | 392 (84.1%) | 47 (10.1) | 21 (4.5%) | 6 (1.3%) |
| The drug response can be predicted using genetic biomarkers | 319 (68.5%) | 103 (22.1%) | 35 (7.5%) | 9 (1.9%) |
Note: Data are presented as n (%).
Comparison Of Basic PGx Knowledge Of Participating Students Depending On The Participating University, Sex And Academic Year
| Parameter | Average of PGx Knowledgea | N | SD | |
|---|---|---|---|---|
| Al-Zaytoonah University | 7.60 | 140 | 2.50 | 0.1 |
| Al-Isra’a University | 7.68 | 59 | 2.72 | |
| University of Jordan | 7.85 | 78 | 2.57 | |
| An-Najah National University | 6.61* | 131 | 2.31 | |
| Birzeit University | 7.85 | 49 | 1.89 | |
| First year | 5.50 | 14 | 1.99 | <0.001 |
| Second year | 6.34 | 68 | 2.01 | |
| Third year | 6.49 | 84 | 2.49 | |
| Fourth year | 7.66 | 151 | 2.41 | |
| Fifth year | 8.23 | 119 | 2.33 | |
| Master of Science | 9.19 | 21 | 2.01 | |
| 6.89 | 78 | 2.87 | 0.04 | |
| 7.52 | 360 | 2.41 | ||
| Pharmaceutical Science | 7.4 | 82 | 2.3 | 0.73 |
| Doctor of Pharmacy | 7.3 | 382 | 2.1 | |
Notes: aPGx knowledge was calculated based on the Likert scale: +1 for “I know”, 0 for “I am not sure” and −1 for “I do not know”. The Student’s t-test was used to compare between two groups, whereas ANOVA was used to compare between more than two groups. *Indicates significant p < 0.05 for the comparison in PGx among An-Najah National University students with other university students.
Knowledge About PGx Testing Recommended By The US FDA (n = 466)
| Question | I know | I am not sure | I do not know | Missing |
|---|---|---|---|---|
| 276 (59.2%) | 172 (36.9%) | 13 (2.8%) | 5 (1.1%) | |
| 184 (39.5%) | 170 (36.5%) | 106 (22.8%) | 6 (1.3%) | |
| Genetic variants in endothelial growth factor receptors affects the response to erlotenib | 149 (31.97%) | 303 (65.02%) | 8 (1.71%) | 6 (1.3%) |
| FDA provides clinical evidence for PGx testing in the labeling of many drugs | 79 (17%) | 172 (36.91%) | 204 (44.4%) | 8 (1.71%) |
Note: Data are presented as n (%).
Abbreviations: CYP2C9, cytochrome 2C9 gene; VKORC1, vitamin K epoxide reductase gene; FDA, Food and Drug Administration.
Attitudes Towards PGx Testing (n = 466)
| Question | Yes | I Am Not Sure | No | Missing |
|---|---|---|---|---|
| Do you think that PGx testing can improve your future work in choosing the right drug and dose? | 421 (90.3%) | 23 (4.9%) | 13 (2.8%) | 9 (1.9%) |
| Do you want to know more about PGx? | 432 (92.7%) | 13 (2.8%) | 15 (3.2%) | 6 (1.3%) |
| Do you want to apply PGx testing in your future work? | 384 (82.4%) | 63 (13.5%) | 14 (3%) | 5 (1.1%) |
| Do you want to study the postgraduate program in PGx | 147 (31.5%) | 207 (44.4%) | 105 (22.5%) | 7 (1.5%) |
Note: Data are presented as n (%).
Factors Correlated With PGx Knowledge
| Factor | Correlation coefficient | |
|---|---|---|
| Age | 0.30 | <0.001* |
| Country | −0.08 | 0.69 |
| Academic year | 0.39 | <0.001* |
| University | 0.01 | 0.57 |
| Sex | 0.06 | 0.45 |
| Achieved marks | 0.24 | 0.01* |
| Academic program | 0.01 | 0.73 |
| Way of receiving PGx information | 0.15 | 0.04* |
| Number of course subjects on PGx | 0.28 | <0.001* |
| Number of lectures on PGx | 0.38 | <0.001* |
| Clear PGx lectures | 0.43 | <0.001* |
Note: *p < 0.05.
Factors Correlated With Attitudes Toward PGx
| Factor | Correlation coefficient | |
|---|---|---|
| Age | 0.02 | 0.77 |
| Country | −0.02 | 0.71 |
| Academic year | 0.02 | 0.60 |
| University | −0.09 | 0.11 |
| Sex | −0.05 | 0.45 |
| Achieved marks | 0.05 | 0.45 |
| Academic program | 0.18 | 0.03* |
| Way of receiving PGx information | 0.09 | 0.10 |
| Number of course subjects on PGx | 0.02 | 0.74 |
| Number of lectures on PGx | 0.06 | 0.59 |
| Clear PGx lectures | 0.02 | 0.74 |
Note: *p< 0.05.