Factors Associated with the Practice of Assessing Drug–Drug Interactions Among Pharmacists in Saudi Arabia
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Sample
2.2. Study Questionnaire
2.3. Ethical Approval
2.4. Statistical Analyses
3. Results
3.1. Characteristics of the Study Sample
3.2. Pharmacists’ Knowledge, Attitude, and Practice Toward DDIs
3.3. Factors Associated with Pharmacists’ Practice Toward DDIs
3.3.1. Practice of Checking Drug–Drug Interactions
3.3.2. Practice of Asking Patients About Their Prescription Drugs
3.3.3. Practice of Asking Patients About OTC Drugs
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Zheng, W.Y.; Richardson, L.C.; Li, L.; Day, R.O.; Westbrook, J.I.; Baysari, M.T. Drug-drug interactions and their harmful effects in hospitalised patients: A systematic review and meta-analysis. Eur. J. Clin. Pharmacol. 2018, 74, 15–27. [Google Scholar] [CrossRef]
- Dechanont, S.; Maphanta, S.; Butthum, B.; Kongkaew, C. Hospital admissions/visits associated with drug-drug interactions: A systematic review and meta-analysis. Pharmacoepidemiol. Drug Saf. 2014, 23, 489–497. [Google Scholar] [CrossRef]
- Palleria, C.; Di Paolo, A.; Giofrè, C.; Caglioti, C.; Leuzzi, G.; Siniscalchi, A.; De Sarro, G.; Gallelli, L. Pharmacokinetic drug-drug interaction and their implication in clinical management. J. Res. Med. Sci. Off. J. Isfahan Univ. Med. Sci. 2013, 18, 601–610. [Google Scholar]
- Becker, M.L.; Kallewaard, M.; Caspers, P.W.; E Visser, L.; Leufkens, H.G.; Stricker, B.H. Hospitalisations and emergency department visits due to drug–drug interactions: A literature review. Pharmacoepidemiol. Drug Saf. 2006, 16, 641–651. [Google Scholar] [CrossRef]
- Aksoy, N.; Ozturk, N. A meta-analysis assessing the prevalence of drug–drug interactions among hospitalized patients. Pharmacoepidemiol. Drug Saf. 2023, 32, 1319–1330. [Google Scholar] [CrossRef]
- Hughes, J.E.; Waldron, C.; Bennett, K.E.; Cahir, C. Prevalence of Drug–Drug Interactions in Older Community-Dwelling Individuals: A Systematic Review and Meta-analysis. Drugs Aging 2023, 40, 117–134. [Google Scholar] [CrossRef]
- Aljadani, R.; Aseeri, M. Prevalence of drug–drug interactions in geriatric patients at an ambulatory care pharmacy in a tertiary care teaching hospital. BMC Res. Notes 2018, 11, 234. [Google Scholar] [CrossRef]
- Alomar, M.J. Factors affecting the development of adverse drug reactions (Review article). Saudi Pharm. J. 2014, 22, 83–94. [Google Scholar] [CrossRef]
- Al-Arifi, M.; Abu-Hashem, H.; Al-Meziny, M.; Said, R.; Aljadhey, H. Emergency department visits and admissions due to drug related problems at Riyadh military hospital (RMH), Saudi Arabia. Saudi Pharm. J. 2014, 22, 17–25. [Google Scholar] [CrossRef]
- Obreli-Neto, P.R.; Nobili, A.; Baldoni, A.d.O.; Guidoni, C.M.; Júnior, D.P.d.L.; Pilger, D.; Duzanski, J.; Tettamanti, M.; Cruciol-Souza, J.M.; Gaeti, W.P.; et al. Adverse drug reactions caused by drug–drug interactions in elderly outpatients: A prospective cohort study. Eur. J. Clin. Pharmacol. 2012, 68, 1667–1676. [Google Scholar] [CrossRef]
- Bouvy, J.C.; De Bruin, M.L.; Koopmanschap, M.A. Epidemiology of Adverse Drug Reactions in Europe: A Review of Recent Observational Studies. Drug Saf. 2015, 38, 437–453. [Google Scholar] [CrossRef]
- Kovačević, M.; Kovačević, S.V.; Radovanović, S.; Stevanović, P.; Miljković, B. Adverse drug reactions caused by drug–drug interactions in cardiovascular disease patients: Introduction of a simple prediction tool using electronic screening database items. Curr. Med. Res. Opin. 2019, 35, 1873–1883. [Google Scholar] [CrossRef]
- Moura, C.; Prado, N.; Acurcio, F. Potential drug-drug interactions associated with prolonged stays in the intensive care unit: A retrospective cohort study. Clin. Drug Investig. 2011, 31, 309–316. [Google Scholar] [CrossRef]
- Pergolizzi, J.V.; Ma, L.; Foster, D.R.; Overholser, B.R.; Sowinski, K.M.; Taylor, R., Jr.; Summers, K.H. The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients. J. Manag. Care Pharm. 2014, 20, 467–476. [Google Scholar] [CrossRef]
- Demessine, L.; Peyro-Saint-Paul, L.; Gardner, E.M.; Ghosn, J.; Parienti, J.-J. Risk and Cost Associated With Drug–Drug Interactions Among Aging HIV Patients Receiving Combined Antiretroviral Therapy in France. Open Forum. Infect. Dis. 2019, 6, ofz051. [Google Scholar] [CrossRef]
- Summers, K.H.; Puenpatom, R.A.; Rajan, N.; Ben-Joseph, R.; Ohsfeldt, R. Economic impact of potential drug–drug interactions in opioid analgesics. J. Med. Econ. 2011, 14, 390–396. [Google Scholar] [CrossRef]
- The Pharmacist’s Role in Medication Safety. 14 March 2018. Available online: https://psnet.ahrq.gov/primer/pharmacists-role-medication-safety (accessed on 4 April 2024).
- Rivkin, A.; Yin, H. Evaluation of the role of the critical care pharmacist in identifying and avoiding or minimizing significant drug-drug interactions in medical intensive care patients. J. Crit. Care 2011, 26, 104.e1–104.e6. [Google Scholar] [CrossRef]
- Barnsteiner, J.H. Medication Reconciliation. In Patient Safety and Quality: An Evidence-Based Handbook for Nurses. Advances in Patient Safety; Hughes, R.G., Ed.; Agency for Healthcare Research and Quality (US): Rockville, MD, USA, 2008. Available online: http://www.ncbi.nlm.nih.gov/books/NBK2648/ (accessed on 28 October 2024).
- Dahri, K.; Araujo, L.; Chen, S.; Bagri, H.; Walia, K.; Lau, L.; Legal, M. Community pharmacist perceptions of drug–drug interactions. Can. Pharm. J. CPJ 2022, 156, 42–47. [Google Scholar] [CrossRef]
- Imam, M.S.; Abdel-Sattar, R.M.; AlOmeir, O.; Mahzari, H.A.; Alhamdhi, S.M.; Alhazmi, T.Y.; Hassani, K.Y.; Alamri, A.S.; Alsubaihi, A.I.; Alotaibi, F.M. Assessment of Knowledge, Attitude, and Practice of Pharmacists towards Drug Interactions in Saudi Arabia. J. Pharm. Res. Int. 2021, 33, 538–545. [Google Scholar] [CrossRef]
- Alorfi, N.M.; Alqurashi, R.S.; Algarni, A.S. Assessment of community pharmacists’ knowledge about drug-drug interactions in Jeddah, Saudi Arabia. Front. Pharmacol. 2023, 14, 1209318. [Google Scholar] [CrossRef]
- Alrabiah, Z.; Alhossan, A.; Alghadeer, S.M.; Wajid, S.; Babelghaith, S.D.; Al-Arifi, M.N. Evaluation of community pharmacists’ knowledge about drug–drug interaction in Central Saudi Arabia. Saudi Pharm. J. SPJ Off. Publ. Saudi Pharm. Soc. 2019, 27, 463–466. [Google Scholar] [CrossRef]
- Lee, C.-R.; Lee, J.H.; Kang, L.-W.; Jeong, B.C.; Lee, S.H. Educational Effectiveness, Target, and Content for Prudent Antibiotic Use. BioMed Res. Int. 2015, 2015, 214021. [Google Scholar] [CrossRef]
- Marinopoulos, S.S.; Dorman, T.; Ratanawongsa, N.; Wilson, L.M.; Ashar, B.H.; Magaziner, J.L.; Miller, R.G.; A Thomas, P.; Prokopowicz, G.P.; Qayyum, R.; et al. Effectiveness of continuing medical education. Evid. Rep./Technol. Assess. 2007, 149, 1–69. [Google Scholar]
- Accreditation Council for Pharmacy Education. Continuing Professional Development: Guidance for the Profession of Pharmacy. January 2015. Available online: https://www.acpe-accredit.org/pdf/CPDGuidance%20ProfessionPharmacyJan2015.pdf (accessed on 26 October 2024).
Variables | N | % |
---|---|---|
Age | ||
22–25 years old | 20 | 15.3% |
26–35 years old | 85 | 64.9% |
Above 35 years old | 26 | 19.8% |
Gender | ||
Male | 107 | 81.7% |
Female | 24 | 18.3% |
Nationality | ||
Saudi | 59 | 45.0% |
Non-Saudi | 72 | 55.0% |
Marital status | ||
Married | 84 | 64.1% |
Unmarried | 47 | 35.9% |
Education | ||
Diploma | 8 | 6.1% |
Bachelor’s degree or Pharm D | 119 | 90.8% |
Master’s degree | 4 | 3.1% |
Time of graduation | ||
This year | 9 | 6.9% |
1–5 years ago | 51 | 38.9% |
More than 5 years ago | 71 | 54.2% |
Country of graduation | ||
Saudi Arabia | 59 | 45.0% |
Other | 72 | 55.0% |
Workplace | ||
Hospital pharmacy | 23 | 17.6% |
Community pharmacy | 107 | 81.7% |
Working hours | ||
8 h/day or less | 116 | 88.5% |
12 h/day or more | 15 | 11.5% |
Years of practice | ||
Less than a year | 17 | 13.0% |
1–5 years | 38 | 29.0% |
More than 5 years | 76 | 58.0% |
Type of working institution | ||
Private | 105 | 80.2% |
Public | 26 | 19.8% |
Perceived workload | ||
Very low/low | 11 | 8.4% |
Moderate | 44 | 33.6% |
High/very high | 76 | 58.0% |
Number of other pharmacists in a shift | ||
None | 24 | 18.3% |
1–2 | 62 | 47.3% |
3 or more | 45 | 34.4% |
Number of technicians in a shift | ||
None | 57 | 43.5% |
1–2 | 52 | 39.7% |
3 or more | 22 | 16.8% |
Number of interns in a shift | ||
None | 74 | 56.5% |
1–2 | 34 | 26.0% |
3 or more | 23 | 17.6% |
Availability of drug–drug interaction checker | ||
Yes | 74 | 56.5% |
No | 57 | 43.5% |
Region | ||
Eastern | 40 | 30.5% |
Other | 91 | 69.5% |
Total Sample | Hospital Pharmacists | Community Pharmacists | p-Value | ||||
---|---|---|---|---|---|---|---|
N | % | N | % | N | % | ||
All | 131 | 100.0 | 23 | 17.6 | 107 | 81.7 | |
Knowledge variables | |||||||
Perceived knowledge | 0.282 | ||||||
Poor/fair | 20 | 15.3% | 2 | 8.7% | 18 | 16.8% | |
Good | 78 | 59.5% | 17 | 73.9% | 60 | 56.1% | |
Very good/excellent | 33 | 25.2% | 4 | 17.4% | 29 | 27.1% | |
Measured knowledge | 0.535 | ||||||
Poor | 45 | 34.4% | 10 | 43.5% | 34 | 31.8% | |
Good | 70 | 53.4% | 11 | 47.8% | 59 | 55.1% | |
Excellent | 16 | 12.2% | 2 | 8.7% | 14 | 13.1% | |
Attitude variables | |||||||
Some drug–drug interactions can be fatal | 0.375 | ||||||
Negative attitude | 33 | 25.2% | 4 | 17.4% | 28 | 26.2% | |
Positive attitude | 98 | 74.8% | 19 | 82.6% | 79 | 73.8% | |
Pharmacist should update their knowledge about drug–drug interactions | 0.423 | ||||||
Negative attitude | 32 | 24.4% | 4 | 17.4% | 27 | 25.2% | |
Positive attitude | 99 | 75.6% | 19 | 82.6% | 80 | 74.8% | |
Pharmacist should check for drug–drug interactions | 0.423 | ||||||
Negative attitude | 32 | 24.4% | 4 | 17.4% | 27 | 25.2% | |
Positive attitude | 99 | 75.6% | 19 | 82.6% | 80 | 74.8% | |
Practice variables | |||||||
In general, before dispensing any drug (new or refill), how often do you consider its potential interactions? | 0.818 | ||||||
Suboptimal practice | 66 | 50.4% | 12 | 52.2% | 53 | 49.5% | |
Optimal practice | 65 | 49.6% | 11 | 47.8% | 54 | 50.5% | |
How often do you ask your patients about their prescription drugs? * | 0.025 | ||||||
Suboptimal practice | 43 | 32.8% | 12 | 52.2% | 30 | 28.0% | |
Optimal practice | 88 | 67.2% | 11 | 47.8% | 77 | 72.0% | |
How often do you ask your patients about their over-the-counter (OTC) drugs? * | <0.001 | ||||||
Suboptimal practice | 49 | 37.4% | 16 | 69.6% | 32 | 29.9% | |
Optimal practice | 82 | 62.6% | 7 | 30.4% | 75 | 70.1% | |
How often do you come across drug–drug interactions? | 0.925 | ||||||
Suboptimal practice | 79 | 60.3% | 14 | 60.9% | 64 | 59.8% | |
Optimal practice | 52 | 39.7% | 9 | 39.1% | 43 | 40.2% |
A | |||||
---|---|---|---|---|---|
Optimal Practice Regarding Checking Drug–Drug Interactions | Suboptimal Practice Regarding Checking Drug–Drug Interactions | p-Value | |||
N | % | N | % | ||
Age groups | 0.392 | ||||
22–25 years old | 9 | 45.0% | 11 | 55.0% | |
26–35 years old | 40 | 47.1% | 45 | 52.9% | |
Above 35 years old | 16 | 61.5% | 10 | 38.5% | |
Gender * | 0.008 | ||||
Male | 59 | 55.1% | 48 | 44.9% | |
Female | 6 | 25.0% | 18 | 75.0% | |
Nationality | 0.133 | ||||
Saudi | 25 | 42.4% | 34 | 57.6% | |
Non-Saudi | 40 | 55.6% | 32 | 44.4% | |
Marital status | 0.805 | ||||
Married | 41 | 48.8% | 43 | 51.2% | |
Unmarried | 24 | 51.1% | 23 | 48.9% | |
Graduation year | 0.936 | ||||
1–5 years ago | 30 | 50.0% | 30 | 50.0% | |
More than 5 years ago | 35 | 49.3% | 36 | 50.7% | |
Graduation country | 0.250 | ||||
Saudi Arabia | 26 | 44.1% | 33 | 55.9% | |
Other | 39 | 54.2% | 33 | 45.8% | |
Working hours | 0.760 | ||||
8 h/day or less | 57 | 49.1% | 59 | 50.9% | |
12 h/day or more | 8 | 53.3% | 7 | 46.7% | |
Years of practice | 0.925 | ||||
Less than a year | 9 | 52.9% | 8 | 47.1% | |
1–5 years | 18 | 47.4% | 20 | 52.6% | |
More than 5 years | 38 | 50.0% | 38 | 50.0% | |
Type of working institution | 0.693 | ||||
Private | 53 | 50.5% | 52 | 49.5% | |
Public | 12 | 46.2% | 14 | 53.8% | |
Perceived workload * | 0.028 | ||||
Very low/low | 2 | 18.2% | 9 | 81.8% | |
Moderate | 19 | 43.2% | 25 | 56.8% | |
High/very high | 44 | 57.9% | 32 | 42.1% | |
Number of other pharmacists in a shift | 0.187 | ||||
None | 15 | 62.5% | 9 | 37.5% | |
1–2 | 32 | 51.6% | 30 | 48.4% | |
3 or more | 18 | 40.0% | 27 | 60.0% | |
Number of technicians in a shift | 0.348 | ||||
None | 30 | 52.6% | 27 | 47.4% | |
1–2 | 22 | 42.3% | 30 | 57.7% | |
3 or more | 13 | 59.1% | 9 | 40.9% | |
Number of interns in a shift | 0.135 | ||||
None | 37 | 50.0% | 37 | 50.0% | |
1–2 | 13 | 38.2% | 21 | 61.8% | |
3 or more | 15 | 65.2% | 8 | 34.8% | |
Availability of drug–drug interaction checker | 0.247 | ||||
Yes | 40 | 54.1% | 34 | 45.9% | |
No | 25 | 43.9% | 32 | 56.1% | |
Region | 0.954 | ||||
Eastern region | 20 | 50.0% | 20 | 50.0% | |
Others | 45 | 49.5% | 46 | 50.5% | |
Perceived knowledge * | 0.006 | ||||
Poor/fair | 5 | 25.0% | 15 | 75.0% | |
Good | 37 | 47.4% | 41 | 52.6% | |
Very good/excellent | 23 | 69.7% | 10 | 30.3% | |
Measured knowledge | 0.146 | ||||
Poor | 17 | 37.8% | 28 | 62.2% | |
Good | 39 | 55.7% | 31 | 44.3% | |
Excellent | 9 | 56.3% | 7 | 43.8% | |
Some drug–drug interactions can be fatal * | 0.010 | ||||
Negative attitude | 10 | 30.3% | 23 | 69.7% | |
Positive attitude | 55 | 56.1% | 43 | 43.9% | |
Pharmacist should update their knowledge about drug–drug interactions * | 0.005 | ||||
Negative attitude | 9 | 28.1% | 23 | 71.9% | |
Positive attitude | 56 | 56.6% | 43 | 43.4% | |
Pharmacist should check for drug–drug interactions * | 0.005 | ||||
Negative attitude | 9 | 28.1% | 23 | 71.9% | |
Positive attitude | 56 | 56.6% | 43 | 43.4% | |
B | |||||
Optimal Practice Regarding Asking About Prescription Drugs | Suboptimal Practice Regarding Asking About Prescription Drugs | p-Value | |||
N | % | N | % | ||
Age groups | 0.772 | ||||
22–25 years old | 13 | 65.0% | 7 | 35.0% | |
26–35 years old | 56 | 65.9% | 29 | 34.1% | |
Above 35 years old | 19 | 73.1% | 7 | 26.9% | |
Gender | 0.589 | ||||
Male | 73 | 68.2% | 34 | 31.8% | |
Female | 15 | 62.5% | 9 | 37.5% | |
Nationality * | 0.035 | ||||
Saudi | 34 | 57.6% | 25 | 42.4% | |
Non-Saudi | 54 | 75.0% | 18 | 25.0% | |
Marital status | 0.184 | ||||
Married | 53 | 63.1% | 31 | 36.9% | |
Unmarried | 35 | 74.5% | 12 | 25.5% | |
Graduation year | 0.389 | ||||
1–5 years ago | 38 | 63.3% | 22 | 36.7% | |
More than 5 years ago | 50 | 70.4% | 21 | 29.6% | |
Graduation country | 0.174 | ||||
Saudi Arabia | 36 | 61.0% | 23 | 39.0% | |
Other | 52 | 72.2% | 20 | 27.8% | |
Working hours | 0.589 | ||||
8 h/day or less | 77 | 66.4% | 39 | 33.6% | |
12 h/day or more | 11 | 73.3% | 4 | 26.7% | |
Years of practice | 0.935 | ||||
Less than a year | 11 | 64.7% | 6 | 35.3% | |
1–5 years | 25 | 65.8% | 13 | 34.2% | |
More than 5 years | 52 | 68.4% | 24 | 31.6% | |
Type of working institution | 0.828 | ||||
Private | 71 | 67.6% | 34 | 32.4% | |
Public | 17 | 65.4% | 9 | 34.6% | |
Perceived workload | 0.056 | ||||
Very low/low | 5 | 45.5% | 6 | 54.5% | |
Moderate | 26 | 59.1% | 18 | 40.9% | |
High/very high | 57 | 75.0% | 19 | 25.0% | |
Number of other pharmacists in a shift * | 0.046 | ||||
None | 17 | 70.8% | 7 | 29.2% | |
1–2 | 47 | 75.8% | 15 | 24.2% | |
3 or more | 24 | 53.3% | 21 | 46.7% | |
Number of technicians in a shift | 0.642 | ||||
None | 40 | 70.2% | 17 | 29.8% | |
1–2 | 35 | 67.3% | 17 | 32.7% | |
3 or more | 13 | 59.1% | 9 | 40.9% | |
Number of interns in a shift | 0.741 | ||||
None | 50 | 67.6% | 24 | 32.4% | |
1–2 | 24 | 70.6% | 10 | 29.4% | |
3 or more | 14 | 60.9% | 9 | 39.1% | |
Availability of drug–drug interaction checker | 0.521 | ||||
Yes | 48 | 64.9% | 26 | 35.1% | |
No | 40 | 70.2% | 17 | 29.8% | |
Region | 0.246 | ||||
Eastern region | 24 | 60.0% | 16 | 40.0% | |
Others | 64 | 70.3% | 27 | 29.7% | |
Perceived knowledge | 0.176 | ||||
Poor/fair | 11 | 55.0% | 9 | 45.0% | |
Good | 51 | 65.4% | 27 | 34.6% | |
Very good/excellent | 26 | 78.8% | 7 | 21.2% | |
Measured knowledge * | 0.024 | ||||
Poor | 24 | 53.3% | 21 | 46.7% | |
Good | 50 | 71.4% | 20 | 28.6% | |
Excellent | 14 | 87.5% | 2 | 12.5% | |
Some drug–drug interactions can be fatal | 0.353 | ||||
Negative attitude | 20 | 60.6% | 13 | 39.4% | |
Positive attitude | 68 | 69.4% | 30 | 30.6% | |
Pharmacist should update their knowledge about drug–drug interactions | 0.130 | ||||
Negative attitude | 18 | 56.3% | 14 | 43.8% | |
Positive attitude | 70 | 70.7% | 29 | 29.3% | |
Pharmacist should check for drug–drug interactions | 0.130 | ||||
Negative attitude | 18 | 56.3% | 14 | 43.8% | |
Positive attitude | 70 | 70.7% | 29 | 29.3% | |
C | |||||
Optimal Practice Regarding Asking About OTC Drugs | Suboptimal Practice Regarding Asking About OTC Drugs | p-Value | |||
N | % | N | % | ||
Age groups | 0.734 | ||||
22–25 years old | 12 | 60.0% | 8 | 40.0% | |
26–35 years old | 52 | 61.2% | 33 | 38.8% | |
Above 35 years old | 18 | 69.2% | 8 | 30.8% | |
Gender | 0.345 | ||||
Male | 69 | 64.5% | 38 | 35.5% | |
Female | 13 | 54.2% | 11 | 45.8% | |
Nationality * | 0.012 | ||||
Saudi | 30 | 50.8% | 29 | 49.2% | |
Non-Saudi | 52 | 72.2% | 20 | 27.8% | |
Marital status | 0.827 | ||||
Married | 52 | 61.9% | 32 | 38.1% | |
Unmarried | 30 | 63.8% | 17 | 36.2% | |
Graduation year | 0.197 | ||||
1–5 years ago | 34 | 56.7% | 26 | 43.3% | |
More than 5 years ago | 48 | 67.6% | 23 | 32.4% | |
Graduation country * | 0.031 | ||||
Saudi Arabia | 31 | 52.5% | 28 | 47.5% | |
Other | 51 | 70.8% | 21 | 29.2% | |
Working hours | 0.825 | ||||
8 h/day or less | 73 | 62.9% | 43 | 37.1% | |
12 h/day or more | 9 | 60.0% | 6 | 40.0% | |
Years of practice | 0.441 | ||||
Less than a year | 10 | 58.8% | 7 | 41.2% | |
1–5 years | 21 | 55.3% | 17 | 44.7% | |
More than 5 years | 51 | 67.1% | 25 | 32.9% | |
Type of working institution | 0.138 | ||||
Private | 69 | 65.7% | 36 | 34.3% | |
Public | 13 | 50.0% | 13 | 50.0% | |
Perceived workload | 0.211 | ||||
Very low/low | 5 | 45.5% | 6 | 54.5% | |
Moderate | 25 | 56.8% | 19 | 43.2% | |
High/very high | 52 | 68.4% | 24 | 31.6% | |
Number of other pharmacists in a shift | 0.304 | ||||
None | 13 | 54.2% | 11 | 45.8% | |
1–2 | 43 | 69.4% | 19 | 30.6% | |
3 or more | 26 | 57.8% | 19 | 42.2% | |
Number of technicians in a shift | 0.442 | ||||
None | 39 | 68.4% | 18 | 31.6% | |
1–2 | 31 | 59.6% | 21 | 40.4% | |
3 or more | 12 | 54.5% | 10 | 45.5% | |
Number of interns in a shift | 0.959 | ||||
None | 46 | 62.2% | 28 | 37.8% | |
1–2 | 21 | 61.8% | 13 | 38.2% | |
3 or more | 15 | 65.2% | 8 | 34.8% | |
Availability of drug–drug interaction checker | 0.907 | ||||
Yes | 46 | 62.2% | 28 | 37.8% | |
No | 36 | 63.2% | 21 | 36.8% | |
Region* | 0.018 | ||||
Eastern region | 19 | 47.5% | 21 | 52.5% | |
Others | 63 | 69.2% | 28 | 30.8% | |
Perceived knowledge | 0.538 | ||||
Poor/fair | 11 | 55.0% | 9 | 45.0% | |
Good | 48 | 61.5% | 30 | 38.5% | |
Very good/excellent | 23 | 69.7% | 10 | 30.3% | |
Measured knowledge | 0.124 | ||||
Poor | 23 | 51.1% | 22 | 48.9% | |
Good | 49 | 70.0% | 21 | 30.0% | |
Excellent | 10 | 62.5% | 6 | 37.5% | |
Some drug–drug interactions can be fatal | 0.785 | ||||
Negative attitude | 20 | 60.6% | 13 | 39.4% | |
Positive attitude | 62 | 63.3% | 36 | 36.7% | |
Pharmacist should update their knowledge about drug–drug interactions | 0.990 | ||||
Negative attitude | 20 | 62.5% | 12 | 37.5% | |
Positive attitude | 62 | 62.6% | 37 | 37.4% | |
Pharmacist should check for drug–drug interactions | 0.990 | ||||
Negative attitude | 20 | 62.5% | 12 | 37.5% | |
Positive attitude | 62 | 62.6% | 37 | 37.4% |
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Share and Cite
Alhussain, K.; Al Dandan, A.; Al Elaiwi, H.; Al Wabari, H.; Al Abdulathim, A.; Almohaish, S. Factors Associated with the Practice of Assessing Drug–Drug Interactions Among Pharmacists in Saudi Arabia. Healthcare 2024, 12, 2285. https://doi.org/10.3390/healthcare12222285
Alhussain K, Al Dandan A, Al Elaiwi H, Al Wabari H, Al Abdulathim A, Almohaish S. Factors Associated with the Practice of Assessing Drug–Drug Interactions Among Pharmacists in Saudi Arabia. Healthcare. 2024; 12(22):2285. https://doi.org/10.3390/healthcare12222285
Chicago/Turabian StyleAlhussain, Khalid, Abdullah Al Dandan, Haider Al Elaiwi, Hassan Al Wabari, Ali Al Abdulathim, and Sulaiman Almohaish. 2024. "Factors Associated with the Practice of Assessing Drug–Drug Interactions Among Pharmacists in Saudi Arabia" Healthcare 12, no. 22: 2285. https://doi.org/10.3390/healthcare12222285
APA StyleAlhussain, K., Al Dandan, A., Al Elaiwi, H., Al Wabari, H., Al Abdulathim, A., & Almohaish, S. (2024). Factors Associated with the Practice of Assessing Drug–Drug Interactions Among Pharmacists in Saudi Arabia. Healthcare, 12(22), 2285. https://doi.org/10.3390/healthcare12222285