| Literature DB >> 36013297 |
Xiaoyan Nie1,2, Tong Jia1, Xiaowen Hu1, Sicong Li1, Xinyi Zhang1, Caiying Wu1, Yuqing Zhang1, Jing Chen1,2, Luwen Shi1,2, Christine Y Lu3.
Abstract
(1) Background: Uptake of pharmacogenomic testing in routine clinical practices is currently slow in China. Pharmacists might play an important role in leveraging care through applying pharmacogenomics, therefore, it is important to better understand clinical pharmacists' knowledge of and attitudes toward pharmacogenomic testing, which has not been well-studied. (2)Entities:
Keywords: China; attitude; clinical pharmacist; knowledge; pharmacogenomic testing
Year: 2022 PMID: 36013297 PMCID: PMC9410027 DOI: 10.3390/jpm12081348
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Characteristics of study respondents.
| All | Have Heard of Pharmacogenomic Testing Before | ||||
|---|---|---|---|---|---|
| % |
| % | |||
| Sum | 1005 | 100.0 | 996 | 99.1 | |
| Gender | |||||
| male | 244 | 24.3 | 241 | 24.2 | |
| Age | |||||
| ≤30 | 183 | 18.2 | 178 | 17.9 | |
| 31–35 | 472 | 47.0 | 468 | 47.0 | |
| 36–40 | 225 | 22.4 | 225 | 22.6 | |
| >40 | 125 | 12.4 | 125 | 12.6 | |
| Highest qualification | |||||
| bachelor degree or below | 332 | 33.0 | 327 | 32.8 | |
| master’s degree | 596 | 59.3 | 592 | 59.4 | |
| doctoral degree | 77 | 7.7 | 77 | 7.7 | |
| Overseas education background 2 | |||||
| for a degree | 7 | 0.7 | 7 | 0.7 | |
| exchange and visit | 50 | 5.0 | 50 | 5.0 | |
| Years of work experience 3 | |||||
| ≤5 years | 212 | 21.1 | 208 | 20.9 | |
| 5–10 years | 406 | 40.4 | 401 | 40.3 | |
| >10 years | 387 | 38.5 | 387 | 38.9 | |
| Professional title | |||||
| junior pharmacist or below | 152 | 15.1 | 144 | 14.5 | |
| middle level pharmacist | 633 | 63.0 | 630 | 63.3 | |
| associate chief or chief clinical pharmacist | 220 | 219 | 182 | 18.3 | |
| Relationship between practicing hospital and medical college | |||||
| neither affiliated nor teaching hospital | 150 | 14.9 | 144 | 14.2 | |
| teaching hospital 4 | 216 | 21.5 | 213 | 21.4 | |
| affiliated hospital 5 | 609 | 60.6 | 609 | 61.1 | |
| GDP rank of the practicing province | |||||
| low | 265 | 26.4 | 261 | 26.2 | |
| middle | 332 | 33.0 | 328 | 32.9 | |
| high | 408 | 40.6 | 407 | 40.9 | |
Annotation: 1 N refers to the number of respondents. 2 Overseas education background refers to whether respondents have studied abroad or participated in an overseas exchange program. 3 Years of work experience refers to the duration of working as a pharmacist. 4 The affiliated hospitals are part of the medical school and have affiliation with the medical school, including the affiliated general hospitals that are responsible for the whole clinical teaching (theoretical teaching, clinical internship, and graduation internship) and the affiliated specialized hospitals that are responsible for part of the clinical teaching. 5 Teaching hospitals are general hospitals or specialized hospitals that have established stable teaching relationships with medical colleges and universities.
Figure 1Knowledge of pharmacogenomic testing.
Figure 2Knowledge about PGx-related guidelines, monographs, and databases.
Figure 3Attitudes towards the role and clinical effect of pharmacogenomic testing.
Value of pharmacogenomic testing in different treatment areas (scale 0–100).
| Areas | Medium | 0–20 | 20–40 | 40–60 | 60–80 | 80–100 |
|---|---|---|---|---|---|---|
| (1) Targeted Oncology Therapy | 78.65 ± 22.41 | 31 | 52 | 97 | 275 | 541 |
| (2) Cardiovascular disease | 66.80 ± 23.65 | 54 | 81 | 213 | 347 | 301 |
| (3) Rheumatic immune diseases | 65.51 ± 25.30 | 69 | 107 | 215 | 303 | 302 |
| (4) Psychiatric and neurologic conditionsneurology | 64.51 ± 25.02 | 75 | 110 | 212 | 315 | 284 |
| (5) Infectious diseases | 59.11 ± 26.31 | 97 | 151 | 251 | 272 | 225 |
| (6) Pain Treatment | 58.79 ± 25.47 | 99 | 139 | 271 | 283 | 204 |
| (7) Other fields | 47.83 ± 28.42 | 216 | 166 | 254 | 231 | 129 |
Scores of clinical pharmacists from different departments on the value of pharmacogenomic testing in different therapeutic areas (the most relevant departments to the disease areas were presented).
| Area | Targeted | Cardiovascular | Rheumatic Immune | Psychiatry and Neurology | Infectious Diseases | Pain Treatment | |
|---|---|---|---|---|---|---|---|
| Department 1 | |||||||
| Card | 77.40 ± 24.11 | 70.84 ± 25.09 | 63.35 ± 25.90 | 64.74 ± 22.43 | 60.54 ± 26.09 | 60.74 ± 25.90 | |
| Cere/Neur | 70.99 ± 22.02 | 63.61 ± 21.23 | 64.87 ± 24.33 | 65.77 ± 20.34 | 57.64 ± 24.30 | 56.74 ± 22.60 | |
| Onco | 83.59 ± 21.12 | 61.75 ± 26.37 | 60.10 ± 26.38 | 57.61 ± 26.98 | 54.75 ± 27.40 | 55.55 ± 26.98 | |
| Psy | 73.86 ± 26.24 | 60.93 ± 29.91 | 63.57 ± 31.50 | 72.14 ± 23.70 | 55.79 ± 33.47 | 63.36 ± 32.17 | |
| Rheu | 84.29 ± 14.57 | 67.14 ± 22.91 | 73.00 ± 17.15 | 68.71 ± 23.31 | 44.00 ± 25.01 | 61.00 ± 21.32 | |
| Infe | 83.20 ± 22.67 | 70.80 ± 24.90 | 69.25 ± 28.36 | 70.40 ± 23.95 | 66.00 ± 25.26 | 68.00 ± 18.60 | |
| Pain | 76.38 ± 34.72 | 64.54 ± 29.57 | 64.46 ± 31.68 | 65.54 ± 30.69 | 57.69 ± 29.05 | 53.31 ± 34.67 | |
Annotation: 1 Cardiovascular (Card), Cerebrovascular/Neurology (Cere/Neur), Oncology (Onco), Psychiatry (Psy), Rheumatology (Rheu), Anti-infectives (Infe). 2 The association between respondents’ clinical practice specialties with their scoring of the value of PGx testing in the same areas was tested by Kruskal-Wallis H Test, which showed that the oncology pharmacist–oncology PGx association was the only one that was statistically significant.