| Literature DB >> 35847030 |
Cristina Pop1, Anamaria Cristina1, Irina Iaru1, Stefan L Popa2, Cristina Mogoșan1.
Abstract
Background: Pharmacogenetics (PGx) is an important component of personalized medicine that has the potential to improve medicines' effectiveness and safety. However, despite progress in technology and availability, PGx testing application into patient-care in Eastern Europe countries, has been slow.Entities:
Keywords: drug therapy optimization; drugs’ benefit-risk assessment; genetic variability evaluation; pharmacogenetics; pharmacogenomics; pharmacy education
Year: 2022 PMID: 35847030 PMCID: PMC9284104 DOI: 10.3389/fphar.2022.952562
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.988
Demographics of survey participants.
| Characteristics | Total; n (%) | BS pharm; n (%) | Resident pharm; n (%) | Specialist pharm; n (%) | Primary pharm; n (%) | Other; n (%) |
|---|---|---|---|---|---|---|
| Gender | ||||||
| Male | 88 (8.3) | 61 (9.3) | 3 (6.0) | 11 (8.3) | 9 (7.2) | 2 (3) |
| Female | 953 (90.1) | 591 (89.8) | 47 (94.0) | 121 (91.0) | 114 (91.2) | 64 (97) |
| Unknown | 17 (1.1) | 6 (0.9) | 0 (0.0) | 1 (0.8) | 2 (1.6) | 0 (0.0) |
| Age category (years) | ||||||
| <30 | 381 (36.0) | 249 (37.8) | 44 (88.0) | 22 (16.5) | 4 (3.2) | 60 (90.9) |
| 30–39 | 278 (26.3) | 222 (33.7) | 5 (10.0) | 29 (21.8) | 10 (8.0) | 2 (3.0) |
| 40–49 | 267 (25.2) | 163 (24.8) | 1 (2.0) | 52 (39.1) | 43 (34.4) | 4 (6.0) |
| 50–59 | 67 (6.3) | 17 (2.6) | 0 (0.0) | 21 (15.8) | 26 (20.8) | 0 (0.0) |
| >59 | 52 (4.9) | 3 (0.5) | 0 (0.0) | 9 (6.8) | 40 (32.0) | 0 (0.0) |
| Unknown | 13 (1.2) | 4 (0.6) | 0 (0.0) | 0 (0.0) | 2 (1.6) | 0 (0.0) |
| Level of professional training | ||||||
| Msc Pharm | 73 (6.9) | 54 (8.2) | 3 (6.0) | 6 (4.5) | 10 (8.0) | 0 (0.0) |
| PharmD | 48 (4.5) | 25 (3.8) | 2 (4.0) | 12 (9.0) | 9 (7.2) | 0 (0.0) |
| Professional experience (years) | ||||||
| 0–5 | 418 (39.5) | 285 (43.3) | 41 (82.0) | 24 (18.1) | 7 (5.6) | 57 (83.4) |
| 6–10 | 257 (24.3) | 215 (32.7) | 9 (18.0) | 16 (12.0) | 8 (6.4) | 4 (6.1) |
| 11–20 | 213 (20.1) | 137 (20.8) | 0 (0.0) | 41 (30.8) | 26 (20.8) | 1 (1.5) |
| >20 | 156 (14.7) | 21 (3.2) | 0 (0.0) | 52 (39.1) | 82 (65.6) | 0 (0.0) |
| Unknown | 14 (1.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 2 (1.6) | 4 (6.1) |
| Primary work setting | ||||||
| Independent pharmacy | 472 (44.6) | 300 (45.6) | 12 (24.0) | 68 (51.1) | 67 (53.6) | 18 (27.3) |
| Chain pharmacy | 387 (35.6) | 293 (45.5) | 23 (46.0) | 31 (23.3) | 17 (13.6) | 13 (19.7) |
| Hospital pharmacy | 60 (5.7) | 13 (2.0) | 6 (12.0) | 13 (9.8) | 28 (22.4) | 0 (0.0) |
| University | 71 (6.7) | 13 (2.0) | 8 (16.0) | 10 (7.5) | 6 (4.8) | 34 (51.5) |
| Pharmaceutical Company | 51 (4.8) | 31 (4.7) | 2 (4.0) | 8 (6.0) | 4 (3.2) | 4 (6.1) |
| Other | 28 (2.6) | 10 (1.5) | 3 (6.0) | 6 (4.5) | 5 (4.0) | 4 (6.1) |
| Unknown | 22 (2.1) | 11 (1.7) | 1 (2.0) | 1 (0.8) | 1 (0.8) | 1 (1.5) |
| Area of activity | ||||||
| Rural | 136 (12.9) | 92 (14.0) | 3 (6.0) | 20 (15.0) | 11 (8.8) | 7 (10.6) |
| Urban, < 50.000 residents | 262 (24.8) | 179 (27.2) | 5 (10.0) | 22 (16.5) | 35 (28.0) | 16 (24.2) |
| Urban, >50.000 residents | 645 (61.0) | 387 (58.8) | 42 (84.0) | 90 (67.7) | 77 (61.6) | 39 (50.1) |
| Unknown | 15 (1.4) | 0 (0.0) | 0 (0.0) | 1 (0.8) | 2 (1.6) | 4 (6.1) |
| Geographical region | ||||||
| West Romania (Banat) | 87 (8.2) | 55 (8.4) | 2 (4.0) | 13 (9.8) | 11 (8.8) | 4 (6.1) |
| South-East Romania (Dobrogea) | 89 (8.4) | 82 (12.5) | 0 (0.0) | 1 (0.8) | 1 (0.8) | 5 (7.6) |
| North-East Romania (Moldova) | 233 (22.0) | 150 (22.8) | 1 (2.0) | 29 (21.8) | 39 (31.2) | 8 (12.1) |
| South-Romania (Muntenia) | 224 (21.2) | 127 (19.3) | 10 (20.0) | 32 (24.1) | 32 (25.6) | 15 (22.7) |
| South-West Romania (Oltenia) | 54 (5.1) | 33 (5.0) | 2 (4.0) | 11 (8.3) | 4 (3.2) | 3 (4.5) |
| Center, North and North-West Romania (Transilvania) | 362 (34.2) | 209 (31.8) | 35 (70.0) | 47 (35.3) | 38 (30.4) | 31 (47.0) |
| Unknown | 9 (0.9) | 2 (0.3) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
Not every participant answered every question.
BS, bachelor of science; PharmD, doctor of pharmacy; MSc Pharm, Master degree in Pharmacy; Pharm, Pharmacist.
Pharmacists’ knowledge of PGx.
| Statement | Answered correctlyN (%) | Answered incorrectlyN (%) | UnknownN (%) |
|---|---|---|---|
| 1. Pharmacogenetics studies the influence of genetic variability over drugs’ efficacy and/or safety | 856 (82.0) | 188 (18.0) | 14 (1.3) |
| 2. Pharmacogenetics can influence drugs’ pharmacokinetics, pharmacodynamics | 392 (37.6) | 653 (61.7) | 14 (1.3) |
| 3. Genetic variations can account for drugs’ efficacy | 1,017 (96.1) | 41 (3.9) | 0 (0.0) |
| 4. Pharmacogenetics testing is already available in laboratories in our country | 237 (22.4) | 821 (77.6) | 0 (0.0) |
| 5. Pharmacogenetics information is already available in the SmPCs of some drugs | 366 (34.6) | 692 (65.4) | 0 (0.0) |
| 6. Genetic variability can be a risk factor for adverse drug reactions | 931 (88.0) | 127 (12.0) | 0 (0.0) |
| 7. Clinical implementation of pharmacogenetics can increase drug therapy efficacy | 893 (85.3) | 154 (14.7) | 11 (1.1) |
| 8. Clinical implementation of pharmacogenetics can decrease the number of adverse reactions to drugs | 851 (81.5) | 193 (18.5) | 14 (1.3) |
| 9. Pharmacogenetics is an important component of personalized therapy | 904 (86.4) | 142 (13.6) | 12 (1.2) |
| 10. Genetic variability cand influence the efficacy and safety of the following drugs | |||
| Clopidogrel | 517 (48.9) | 541 (51.1) | 0 (0.0) |
| Codeine | 285 (29.9) | 773 (73.1) | 0 (0.0) |
| Combined oral hormonal contraceptives | 763 (72.1) | 295 (27.9) | 0 (0.0) |
| Carbamazepine | 508 (48.0) | 550 (52.0) | 0 (0.0) |
SmPCs, Summary of Product Characteristics.
Knowledge and attitude scores association with respondents characteristics (n = 1,058)†.
| Characteristics | Total; n (%) | Total Knowledge Score | Total Attitude Score |
|---|---|---|---|
| Mean ± SD | Mean ± SD | ||
| Gender | |||
| Male | 88 (8.3) | 43.3 ± 9.4 | 7.42 ± 1.5 |
| Female | 953 (90.1) | 42.8 ± 8.7 | 7.42 ± 1.4 |
| Age category (years) | |||
| <30 | 381 (36.0) | 43.3 ± 9.0*** | 7.4 ± 1.5 |
| 30–39 | 278 (26.3) | 41.9 ± 8.8*** | 7.5 ± 1.5 |
| 40–49 | 267 (25.2) | 41.4 ± 7.3*** | 7.4 ± 1.3 |
| 50–59 | 67 (6.3) | 43.1 ± 9.7*** | 7.2 ± 1.5 |
| >59 | 52 (4.9) | 42.0 ± 8.3** | 7.6 ± 1.3 |
| Level of professional training | |||
| Student | 66 (6.2) | 43.0 ± 8.0** | 7.1 ± 1.6 |
| BS Pharm | 658 (62.2) | 42.9 ± 7.3** | 7.4 ± 1.4 |
| Resident Pharm | 50 (4.7) | 46.0 ± 7.9*** | 7.9 ± 1.1## |
| Specialist Pharm | 133 (12.6) | 44.2 ± 8.8*** | 7.6 ± 1.5 |
| Primary Pharm | 125 (11.8) | 43.6 ± 8.0*** | 7.6 ± 1.5 |
| MSc Pharm | 73 (6.9) | 44.2 ± 9.5*** | 7.5 ± 1.3 |
| PharmD | 48 (4.5) | 47.6 ± 8.6*** | 8.1 ± 1.1# |
| Professional experience (years) | |||
| 0–5 | 418 (39.5) | 43.1 ± 8.9*** | 7.4 ± 1.5 |
| 6–10 | 257 (24.3) | 41.3 ± 8.4*** | 7.4 ± 1.2 |
| 11–20 | 213 (20.1) | 42.5 ± 8.9*** | 7.5 ± 1.5 |
| >20 | 156 (14.7) | 42.5 ± 8.6*** | 7.4 ± 1.4 |
| Primary work setting | |||
| Community pharmacy | 826 (78.1) | 40.1 ± 10.9 | 7.4 ± 1.4 |
| Hospital pharmacy | 60 (5.7) | 44.6 ± 7.2*** | 7.5 ± 1.3 |
| University | 71 (6.7) | 45.7 ± 8.4*** | 7.6 ± 1.4 |
| Pharmaceutical Company | 51 (4.8) | 45.8 ± 7.8*** | 7.9 ± 1.3¥ |
| Other | 28 (2.6) | 45.3 ± 7.7** | 7.4 ± 1.6 |
| Area of activity | |||
| Rural | 136 (12.9) | 41.3 ± 10.1 | 7.5 ± 1.6 |
| Urban, < 50.000 residents | 262 (24.8) | 42.1 ± 8.7 | 7.5 ± 1.3 |
| Urban, >50.000 residents | 645 (61.0) | 40.8 ± 11.3 | 7.4 ± 1.4 |
| Geographical region | |||
| West Romania (Banat) | 87 (8.2) | 41.6 ± 8.1*** | 7.1 ± 1.3 |
| South-East Romania (Dobrogea) | 89 (8.4) | 40.6 ± 8.4*** | 7.2 ± 0.7 |
| North-East Romania (Moldova) | 233 (22.0) | 41.9 ± 9.4*** | 7.6 ± 1.3‡‡ |
| South-Romania (Muntenia) | 224 (21.2) | 43.4 ± 8.3*** | 7.6 ± 1.4‡ |
| South-West Romania (Oltenia) | 54 (5.1) | 40.0 ± 12.3*** | 6.9 ± 2.3 |
| Center, North and North-West Romania (Transilvania) | 362 (34.2) | 43.7 ± 8.3*** | 7.4 ± 1.4 |
*p < 0.05, **p < 0.025, ***p < 0.01; #p < 0.05, PharmD vs. MSc Pharm; ##p < 0.025, Resident Pharm vs. BS Pharm; ¥p < 0.05, Pharmaceutical company vs. Community pharmacy; ‡p < 0.05 Muntenia vs. Banat and Muntenia vs. Dobrogea; ‡‡p < 0.025 Moldova vs. Dobrogea; †Not every participant answered every question; BS, Bachelor of science; PharmD, Doctor of Pharmacy; MSc Pharm, Master degree in Pharmacy; Pharm, Pharmacist.
Pharmacists’ attitude toward PGx.
| Question | Yes N (%) | NeutralN (%) | No N (%) | UnknownN (%) |
|---|---|---|---|---|
| 1. Do you feel ready to discuss with other medical professionals about a patient’s therapy in the context of PGx information? | 155 (14.7) | 489 (46.2) | 401 (37.9) | — |
| 2. Do you feel that PGx information currently available in the SmPCs of some medicines is easily accessible to you? | 234 (22.1) | 496 (46.9) | 312 (29.5) | 16 (1.5) |
| 3. Do you believe that PGx information is useful for your profession? | 975 (92.2) | 62 (5.9) | 9 (0.9) | — |
| 4. Do you believe that including pharmacogenetics in the curriculum of the Faculty of Pharmacy is important? | 954 (90.2) | 76 (7.2) | 13 (1.2) | 15 (1.4) |
| 5. Are you willing to learn more about pharmacogenetics? | 1,008 (95.3) | 31 (2.9) | 4 (0.4) | 15 (0.7) |