| Literature DB >> 35614463 |
Usman Abubakar1, Lienarrubini Subramaniam2, Abdulkadir Ayinla3, Mobolaji Nurudeen Ambali3, Dzul Azri Mohamed Noor2, Nur Aizati Athirah Daud2, Hauwa Kulu Isah4, Hiba A Al-Shami5.
Abstract
OBJECTIVES: To evaluate knowledge, attitude and perception of community pharmacists towards pharmacogenomics services.Entities:
Keywords: Attitude; Community pharmacists; Knowledge; Nigeria; Perception; Pharmacogenomics
Year: 2022 PMID: 35614463 PMCID: PMC9134695 DOI: 10.1186/s40545-022-00435-x
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Demographic characteristics of the community pharmacists involved in the study
| Variable | Frequency ( | Percentage (%) |
|---|---|---|
| Gender* | ||
| Male | 95 | 59.0 |
| Female | 60 | 37.3 |
| Age group* (in year) | ||
| 20–29 | 68 | 42.2 |
| 30–39 | 53 | 32.9 |
| 40–49 | 24 | 14.9 |
| 50 and above | 14 | 8.7 |
| Years of working experience* | ||
| Less than 5 | 74 | 46.0 |
| 5–10 | 56 | 34.8 |
| 11–15 | 5 | 3.1 |
| More than 15 | 21 | 13.0 |
| Highest academic qualification | ||
| B. Pharm | 106 | 65.8 |
| PharmD | 24 | 14.9 |
| Masters | 24 | 14.9 |
| PhD | 2 | 1.2 |
| WAPCP | 5 | 3.1 |
| Position* | ||
| Owner | 23 | 14.3 |
| Pharmacist | 121 | 75.2 |
| Manager | 12 | 7.5 |
| Previous pharmacogenomics training (yes) | 41 | 25.5 |
| Interest in attending pharmacogenomics training in future (yes) | 145 | 90.1 |
*Denotes missing data, PhD: Doctor of Philosophy; WAPCP: West African Postgraduate College of Pharmacy
Number of respondents giving correct answers to questions assessing knowledge
| Variable | Frequency ( | Percentage (%) |
|---|---|---|
| The pharmacokinetics and pharmacodynamics of a medication maybe affected by an individual’s genetic makeup | 149 | 92.5 |
| Pharmacogenomics testing can be used to predict medication safety and efficacy | 150 | 93.2 |
| Genetic determinants of drugs response may change over a person’s lifetime | 14 | 8.7 |
| Genetic variants account for most variability in drug disposition and effects | 118 | 73.3 |
| Pharmacogenomics test result can be used to change drug therapy | 153 | 95.0 |
| Pharmacogenomics test result can be used for dose adjustment | 144 | 89.4 |
| Pharmacogenomics test results can be used as an indication for discontinuation of a drug | 146 | 90.7 |
| Indication(s) for pharmacogenomics testing | ||
| Therapeutic failure | 74 | 46.0 |
| To prevent adverse reaction | 112 | 69.6 |
| To guide initiation of therapy | 137 | 85.1 |
| Others | ||
| Medications that require pharmacogenomics testing | ||
| Paroxetine | 98 | 60.9 |
| Simvastatin | 84 | 52.2 |
| Cefuroxime* | 77 | 47.8 |
| Pantoprazole | 34 | 21.1 |
| Clopidogrel | 48 | 29.8 |
| Ibuprofen* | 137 | 85.1 |
| Warfarin | 86 | 53.4 |
*Denotes medication that do not require pharmacogenomics testing; no is the correct answer
Attitudes of community pharmacists towards pharmacogenomics services
| Variable | Frequency ( | Percentage (%) |
|---|---|---|
| Would you recommend pharmacogenomics testing to your patients if those tests could predict that a specific drug could be efficacious in their case? | ||
| Yes, straight away | 69 | 42.9 |
| Yes, but after having had training on the subject | 68 | 42.2 |
| No | 15 | 9.3 |
| Not sure | 7 | 4.3 |
| Are you willing to receive and interpret the pharmacogenomics testing results of your patients? | ||
| Yes, straight away | 56 | 34.8 |
| Yes, but after having had training on the subject | 101 | 62.7 |
| Not sure | 3 | 1.9 |
| Would you advise your patient on a treatment choice based on patient’s pharmacogenomics testing result? | ||
| Yes, straight away | 52 | 32.3 |
| Yes, but after having had training on the subject | 106 | 65.8 |
| Not sure | 2 | 1.2 |
| Would you make recommendations to a physician based on patient’s pharmacogenomics testing result? | ||
| Yes, straight away | 82 | 50.9 |
| Yes, but after having had training on the subject | 78 | 48.8 |
| Are you interested in providing pharmacogenomics testing services? | ||
| Yes, straight away | 73 | 45.6 |
| Yes, but after having had training on the subject | 79 | 49.1 |
| Not sure | 8 | 5.0 |
Perceptions of community pharmacists towards pharmacogenomics services
| Variables | Frequency (%) | ||||
|---|---|---|---|---|---|
| Strongly agree | Agree | Neutral | Disagree | Strongly disagree | |
| Community pharmacists are well-placed within the healthcare system to provide pharmacogenomics services | 29 (18.0) | 31 (19.3) | 29 (18.0) | 31 (19.3) | 40 (24.8) |
| Pharmacogenomics testing services is feasible in community pharmacy setting | 34 (21.1) | 36 (22.4) | 38 (23.6) | 40 (24.8) | 12 (7.5) |
| Community pharmacists have the expertise to interpret and adjust medication doses based on patient’s pharmacogenomics results | 36 (22.4) | 50 (31.1) | 42 (26.1) | 12 (7.5) | 20 (12.4) |
| Community pharmacists need training in pharmacogenomics | 91 (56.5) | 50 (31.1) | 14 (8.7) | 2 (1.2) | 1 (0.6) |
| Physicians and community pharmacists should collaborate to offer pharmacogenomics testing | 103 (64.0) | 49 (30.4) | 6 (3.7) | 2 (1.2) | |
| Pharmacogenomics testing will prevent your patient from taking the inappropriate medicine or the wrong dose | 97 (60.2) | 49 (30.4) | 11 (6.8) | 2 (1.2) | 1 (0.6) |
| Incorporation of pharmacogenetic screening into medication therapy management will optimize pharmacotherapy | 65 (40.4) | 75 (46.6) | 15 (9.3) | 3 (1.9) | |
| Pharmacogenomics testing will become a routine in clinical practice in the future | 54 (33.5) | 43 (26.7) | 31 (19.3) | 26 (16.1) | 5 (3.1) |
| Pharmacogenomics-guided treatment is cost-effective | 40 (24.8) | 68 (42.2) | 29 (18.0) | 7 (4.3) | 11 (6.8) |
| Barriers to implementation of pharmacogenomics services | |||||
| Lack of knowledge | 86 (53.4) | 58 (36.0) | 8 (5.0) | 2 (1.2) | 2 (1.2) |
| Lack of reimbursement | 71 (44.1) | 60 (37.3) | 16 (9.9) | 5 (3.1) | 2 (1.2) |
| Lack of time | 63 (39.1) | 53 (32.9) | 25 (15.5) | 10 (6.2) | 3 (1.9) |
| Lack of guidelines | 82 (50.9) | 59 (36.6) | 8 (5.0) | 5 (3.1) | 1 (0.6) |
| Ethical considerations regarding ownership of genetic data | 77 (47.8) | 44 (27.3) | 28 (17.4) | 2 (1.2) | 3 (1.9) |
| Resistance from other healthcare professionals | 74 (46.0) | 52 (32.3) | 24 (14.9) | 4 (2.5) | 1 (0.6) |
| Lack of acceptance by patients | 78 (48.4) | 40 (24.8) | 22 (13.7) | 8 (5.0) | 7 (4.3) |
Difference in knowledge, attitude and perception score towards pharmacogenomics among community pharmacists
| Variable | Total attitude score | Total perception score | Total knowledge score | |||
|---|---|---|---|---|---|---|
| Mean (SD) | Median (range) | Mean (SD) | ||||
| Gender | ||||||
| Male | 6.5 ± 1.9 | 0.621* | 36.0 (0–45) | 10.8 ± 2.2 | 0.481* | |
| Female | 6.7 ± 2.1 | 33.0 (21–45) | 10.9 ± 2.5 | |||
| Age group | ||||||
| 20–29 | 6.0 ± 1.5 | 33.0 (21–45) | 10.4 ± 2.4 | 0.241# | ||
| 30–39 | 6.8 ± 1.9 | 37.0 (26–44) | 11.1 ± 2.4 | |||
| 40–49 | 7.9 ± 2.0 | 32.5 (25–45) | 11.2 ± 1.5 | |||
| 50 and above | 6.8 ± 2.9 | 38.5 (0–42) | 11.8 ± 1.2 | |||
| Years of working experience | ||||||
| ≤ 10 years | 6.6 ± 1.9 | 0.423* | 34.0 (21–45) | 0.086** | 10.8 ± 2.4 | 0.187* |
| > 10 years | 7.1 ± 2.5 | 36.0 (0–45) | 11.4 ± 1.9 | |||
| Highest academic qualification | ||||||
| Undergraduate degree | 6.6 ± 1.9 | 34.0 (21–45) | 10.7 ± 2.3 | |||
| Postgraduate degree | 7.2 ± 2.3 | 39.0 (0–45) | 11.7 ± 1.9 | |||
| Position | ||||||
| Owner | 7.2 ± 2.5 | 37.0 (0–45) | 0.103## | 12.1 ± 1.7 | ||
| Pharmacist | 6.5 ± 1.9 | 34 (21–45) | 10.6 ± 2.4 | |||
| Manager | 8.2 ± 1.5 | 38 (26–43) | 12.1 ± 1.6 | |||
| Previous pharmacogenomics training | ||||||
| Yes | 8.1 ± 1.7 | 40.0 (21–45) | 11.9 ± 1.7 | |||
| No/don’t know | 6.2 ± 1.9 | 34.0 (0–45) | 10.5 ± 2.4 | |||
| Interest in attending pharmacogenomics training in future | ||||||
| Yes | 6.7 ± 1.9 | 0.118* | 35.0 (0–45) | 0.123** | 10.9 ± 2.2 | 0.346* |
| No/don’t know | 5.3 ± 1.3 | 39.5 (33–41) | 8.3 ± 4.9 | |||
*T-test; **Mann–Whitney U test; #one-way ANOVA test; ##Kruskal–Wallis test
Bold font denotes statistical significance