Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe
Abstract
:1. Introduction
2. Methods
3. Results
3.1. Characteristics of Study Participants
3.2. PGx Knowledge of Study Participants
3.3. Study Participants’ Attitudes Towards PGx Applications
3.4. Perceptions of Study Participants Towards PGx
4. Discussion
5. Conclusions
Author Contributions
Conflicts of Interest
References
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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%) | p-value = 0.2 |
Missing Values* | 3 (4%) | 1 (2%) | |
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%) | p-value ≤0.0005 |
Missing Values* | 16 (19%) | 5 (11%) | |
Practice Setting | Fischer’s Exact ≤0.0005 p-value ≤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%) | |
Missing Values* | 3 (3%) | 1 (2%) | |
Years of Pharmacy Practice | - | Mean = 7.8 years s.d = 6.1 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 p-value ≤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* | 1 (2%) |
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%) |
Question/Statement | Response N = 131 (%) Ordinal Logistic Regression Output | |||||
---|---|---|---|---|---|---|
Unlikely | Neutral | Likely | O.R | S.E | p-Value | |
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 |
Question | Responses (N = 131) Ordinal Logistic Regression Output | |||||
---|---|---|---|---|---|---|
Disagree | Neutral | Agree | O.R | S.E | p-Value | |
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 |
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Muzoriana, N.; Gavi, S.; Nembaware, V.; Dhoro, M.; Matimba, A. Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe. Pharmacy 2017, 5, 36. https://doi.org/10.3390/pharmacy5030036
Muzoriana N, Gavi S, Nembaware V, Dhoro M, Matimba A. Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe. Pharmacy. 2017; 5(3):36. https://doi.org/10.3390/pharmacy5030036
Chicago/Turabian StyleMuzoriana, Nyasha, Samuel Gavi, Victoria Nembaware, Milcah Dhoro, and Alice Matimba. 2017. "Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe" Pharmacy 5, no. 3: 36. https://doi.org/10.3390/pharmacy5030036
APA StyleMuzoriana, N., Gavi, S., Nembaware, V., Dhoro, M., & Matimba, A. (2017). Knowledge, Attitude, and Perceptions of Pharmacists and Pharmacy Students towards Pharmacogenomics in Zimbabwe. Pharmacy, 5(3), 36. https://doi.org/10.3390/pharmacy5030036