| Literature DB >> 28970448 |
Nyasha Muzoriana1, Samuel Gavi2, Victoria Nembaware3, Milcah Dhoro4, Alice Matimba5.
Abstract
The potential of pharmacogenomics (PGx) to positively impact health outcomes and quality of healthcare is well-established. However, the application of available evidence into clinical practice is still limited due to limited knowledge among healthcare professionals, including pharmacists. As a start towards building capacity for PGx education, we assessed knowledge, attitudes, and perceptions about PGx among practising pharmacists and pharmacy students. A cross-sectional study was conducted among pharmacists and undergraduate pharmacy students selected using a convenient sampling method-a 37-question survey instrument was used to obtain information regarding PGx among the participants. Out of a total of 131 participants, 56% of respondents showed fair-to-good PGx knowledge. Respondents' self-reported assessment indicated that 88% had average and above knowledge scores in PGx. Practising pharmacists in Zimbabwe have positive attitudes towards PGx and would support its application to improve treatments. However, there were concerns about security and discrimination when genomics data is used by those who do not understand its meaning. Participants agreed that they would play a leading role in PGx testing if provided with appropriate training. The interest in PGx is challenged by their limited knowledge and understanding of genetics, suggesting a need to update curricula for pharmacy students and for continuing health education programmes.Entities:
Keywords: attitude; education; knowledge; perception; pharmacogenomics
Year: 2017 PMID: 28970448 PMCID: PMC5622348 DOI: 10.3390/pharmacy5030036
Source DB: PubMed Journal: Pharmacy (Basel) ISSN: 2226-4787
Characteristics of study participants.
| Characteristics | Pharmacists | Final Year Pharmacy | |
|---|---|---|---|
| N = 86 (66%) | N = 45 (34%) | ||
| Gender | |||
| Male | 46 (53%) | 28 (62%) | Fischer’s Exact = 0.5 |
| Female | 37 (43%) | 16 (36%) | |
| Age (years) | Mean = 30.5 years | ||
| Median = 30.0 years | |||
| <30 years | 14 (16%) | 39 (86%) | Fischer’s Exact ≤0.0005 |
| ≥30 years | 56 (65%) | 1 (2.0%) | |
| Practice Setting | Fischer’s Exact ≤0.0005 | ||
| Retail | 52 (60%) | 0 (0%) | |
| Hospital | 18 (22%) | 1 (2%) | |
| Academia | 10 (12%) | 42 (94%) | |
| Industry | 2 (2%) | 1 (2%) | |
| Regulatory | 1 (1%) | 0 (0%) | |
| Years of Pharmacy Practice | - | Mean = 7.8 years | |
| 1–5 years | 39 (45%) | ||
| 6–10 years | 32 (37%) | ||
| 11–15 years | 7 (8%) | ||
| 16–20 years | 3 (4%) | ||
| 21–25 years | 2 (2%) | ||
| 26–30 years | 3 (4%) | ||
| Highest Education | Fischer’s Exact ≤0.0005 | ||
| Bachelor’s degree | 67 (78%) | 2 (4%) | |
| Master’s Degree | 16 (19%) | 0 (0%) | |
| PhD/D. Phil | 3 (3%) | 0 (0%) | |
| High School | 0 (0%) | 42 (94%) | |
Missing Values*: Denote number of participants who did not answerr certain questions. Missing values were not included in final analysis.
Participant’s knowledge of pharmacogenomics (PGx).
| Statement | True % (N = 131) | False % (N = 131) | Not Sure % (N = 131) |
|---|---|---|---|
| Subtle differences in a person’s genome can have a major impact on how the person responds to medications. | 127 (97%) * | 1 (1%) | 3 (2%) |
| Genetic determinants of drugs response change over a person’s lifetime. | 30 (23%) | 83 (63%) * | 18 (14%) |
| Genetic variants can account for 95% of the variability in drug disposition and effects. | 18 (14%) * | 59 (45%) | 54 (41%) |
| The package insert for warfarin includes a warning about altered metabolism in individuals who have specific genetic variants. | 34 (26%) | 34 (26%) * | 63 (48%) |
| PGx testing is currently available for most medications. | 8 (6%) | 86 (66%) * | 37 (28%) |
Answers to Knowledge Questions: 1. True 2. False 3. True 4. True 5. False; * Percentage of respondents who got the questions correct on each knowledge question.
Figure 1Pharmacist/pharmacy student self-assessment of PGx knowledge.
Participants’ attitudes towards pharmacogenomics (PGx) applications by profession.
| Question/Statement | Response N = 131 (%) Ordinal Logistic Regression Output | |||||
|---|---|---|---|---|---|---|
| Unlikely | Neutral | Likely | O.R | S.E | ||
| How likely is it that PGx testing will help to decrease the number of adverse drug reactions? | 13 (10%) | 13 (10%) | 105 (80%) | 0.4 | 0.2 | 0.06 |
| How likely is it that PGx testing will help to decrease the cost of developing new drugs? | 32 (24%) | 18 (14%) | 81 (62%) | 1.9 | 0.7 | 0.06 |
| How likely is it that PGx testing will reduce the time it takes to find the optimal dose for patients on warfarin? | 6 (5%) | 16 (12%) | 109 (83%) | 3.0 | 1.4 | 0.02 |
| How likely is it that PGx testing will help reduce ADR’s due to warfarin? | 4 (3%) | 20 (15%) | 107 (82%) | 0.6 | 0.3 | 0.3 |
Perceptions of pharmacists and pharmacy students towards PGx.
| Question | Responses (N = 131) Ordinal Logistic Regression Output | |||||
|---|---|---|---|---|---|---|
| Disagree | Neutral | Agree | O.R | S.E | ||
| PGx was taught in Pharmacy School | 54 (41%) | 17 (13%) | 60 (46%) | 0.1 | 0.05 | <0.0005 |
| PGx is an important field in Pharmacy | 7 (5%) | 9 (7%) | 115 (88%) | 1.5 | 1.0 | 0.6 |
| Pharmacists must know PGx | 3 (2%) | 5 (4%) | 123 (94%) | 6.6 | 35.7 | 0.7 |
| PGx should be added to Pharmacy School | 8 (6%) | 12 (9%) | 111 (85%) | 2.6 | 1.6 | 0.1 |
| PGx should be taught in Pharmacy Continuing Education Seminars | 1 (1%) | 20 (15%) | 110 (84%) | 0.9 | 05 | 0.9 |
| I should be able to consult if taught PGx | 0 (0%) | 8 (6%) | 123 (94%) | 2 | 6.4 | 0.8 |
| If trained, I can advise of therapy changes after PGx testing | 0 (0%) | 18 (14%) | 113 (87%) | 0.5 | 1.1 | 0.8 |
| Training will help Pharmacists identify medicines requiring PGx testing | 2 (1%) | 14 (11%) | 115 (88%) | 1.6 | 0.9 | 0.4 |
| I know reliable sources of info on PGx | 6 (5%) | 37 (28%) | 88 (67%) | 1.3 | 0.5 | 0.5 |
| I know PGx tests used in Zimbabwe | 30 (23%) | 38 (29%) | 63 (48%) | 0.9 | 0.3 | 0.7 |
| PGx test will control medicine costs | 6 (5%) | 16 (12%) | 109 (83%) | 0.7 | 0.6 | 0.7 |
| PGx is relevant to my current practice | 3 (2%) | 31 (24%) | 97 (74%) | 0.7 | 0.3 | 0.5 |
| Pharmacists must recommend PGx in their clinical practice | 3 (2%) | 29 (22%) | 99 (76%) | 0.6 | 0.3 | 0.3 |
| In future, health provider must consult Pharmacists on PGx testing | 3 (2%) | 25 (19%) | 103 (79%) | 0.6 | 0.4 | 0.4 |
| In future, providers must consult Pharmacists on therapy changes after PGx testing | 4 (3%) | 34 (26%) | 93 (71%) | 0.4 | 0.2 | 0.08 |
| In future Pharmacists should use PGx tests for medication therapy management | 3 (2%) | 20 (15%) | 107 (82%) | 0.5 | 0.7 | 0.6 |
| In future, Pharmacists should carry out PGx tests | 6 (5%) | 36 (27%) | 89 (68%) | 6.8 | 2.9 | <0.0005 |