Evaluating Pharmacists’ Knowledge of Food–Drug Interactions in Croatia: Identifying Gaps and Opportunities
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Participant Recruitment
2.2. Data Collection and Measures
2.3. Data Analysis
3. Results
3.1. Demographic Characteristics of Participants
3.2. General FDIs Knowledge
3.3. Comparison of Questionnaire Scores Between Groups Based on Demographic Characteristics
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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N (%) | ||
---|---|---|
Sex | Female | 178 (86.4) |
Male | 28 (13.6) | |
Faculty of graduation | USSM 1 | 71 (34.5) |
FBF 2 | 135 (65.5) | |
Chronic medication use | No | 164 (79.6) |
Yes | 42 (20.4) | |
Self-assessed knowledge about FDIs | Sufficient | 51 (24.8) |
Insufficient | 85 (41.3) | |
Uncertain | 70 (34.0) | |
The main source of information about FDIs | Official sources | 68 (33.0) |
Unofficial internet sources | 83 (40.3) | |
Formal education | 33 (16.0) | |
Experience | 5 (2.4) | |
Median (Range) | ||
Age | 29.5 (23–66) |
Question | N (%) |
---|---|
Patients taking theophylline should avoid excessive coffee and tea | 198 (95.2) |
Patients can eat more leafy green vegetables with warfarin | 196 (94.2) |
Milk affects the efficacy of tetracycline | 192 (92.3) |
Protein-rich foods affect the efficacy of levodopa | 113 (54.3) |
Cauliflower consumption affects the efficacy of levothyroxine | 91 (43.8) |
Wheat bran diet affects the efficacy of digoxin | 81 (38.9) |
2nd Part Score | 3rd Part Score | 4th Part Score | Total Score | ||||||
---|---|---|---|---|---|---|---|---|---|
N = 206 | Mean Rank | p * | Mean Rank | p * | Mean Rank | p * | Mean Rank | p * | |
Age | 30 or younger | 103.29 | 0.751 | 102.81 | 0.655 | 99.35 | 0.172 | 99.98 | 0.241 |
Over 30 | 105.92 | 106.47 | 110.51 | 109.78 | |||||
Sex | Female | 104.36 | 0.929 | 105.63 | 0.485 | 106.49 | 0.214 | 105.76 | 0.442 |
Male | 105.43 | 97.27 | 91.68 | 96.38 | |||||
Faculty of graduation | MEFST | 113.66 | 0.106 | 105.00 | 0.929 | 111.17 | 0.232 | 111.44 | 0.225 |
FBF | 99.65 | 104.24 | 100.97 | 100.83 | |||||
Self-assessed knowledge about FDIs | Sufficient | 127.04 | 0.000 ** | 110.76 | 0.680 | 126.49 | 0.006 ** | 128.35 | 0.002 ** |
Insufficient | 107.21 | 102.08 | 100.68 | 102.91 | |||||
Uncertain | 84.71 | 102.94 | 93.22 | 89.10 vs | |||||
The main source of information about FDIs | Official sources | 99.37 | 0.812 | 100.62 | 0.598 | 98.90 | 0.632 | 100.43 | 0.834 |
Unofficial INTERNET sources | 91.61 | 96.59 | 96.24 | 94.13 | |||||
Formal education | 98.77 | 88.89 | 86.42 | 90.77 | |||||
Experience | 98.29 | 77.64 | 110.07 | 99.79 |
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Bukić, J.; Rušić, D.; Turic, A.; Leskur, D.; Durdov, T.; Božić, J.; Kondža, M.; Modun, D.; Šešelja Perišin, A. Evaluating Pharmacists’ Knowledge of Food–Drug Interactions in Croatia: Identifying Gaps and Opportunities. Pharmacy 2024, 12, 172. https://doi.org/10.3390/pharmacy12060172
Bukić J, Rušić D, Turic A, Leskur D, Durdov T, Božić J, Kondža M, Modun D, Šešelja Perišin A. Evaluating Pharmacists’ Knowledge of Food–Drug Interactions in Croatia: Identifying Gaps and Opportunities. Pharmacy. 2024; 12(6):172. https://doi.org/10.3390/pharmacy12060172
Chicago/Turabian StyleBukić, Josipa, Doris Rušić, Antonela Turic, Dario Leskur, Toni Durdov, Joško Božić, Martin Kondža, Darko Modun, and Ana Šešelja Perišin. 2024. "Evaluating Pharmacists’ Knowledge of Food–Drug Interactions in Croatia: Identifying Gaps and Opportunities" Pharmacy 12, no. 6: 172. https://doi.org/10.3390/pharmacy12060172
APA StyleBukić, J., Rušić, D., Turic, A., Leskur, D., Durdov, T., Božić, J., Kondža, M., Modun, D., & Šešelja Perišin, A. (2024). Evaluating Pharmacists’ Knowledge of Food–Drug Interactions in Croatia: Identifying Gaps and Opportunities. Pharmacy, 12(6), 172. https://doi.org/10.3390/pharmacy12060172