International Benchmarking of Pharmacology Curricula and Prescribing Related Learning Outcomes, Implications for Australian Health Professional Education: A Systematic Review and Meta-Analysis
Abstract
1. Introduction
2. Objectives
- Map pharmacology curricula designs worldwide and in Australia.
- Compare learning outcomes and prescribing competence across countries.
- Quantify effects of teaching approaches on knowledge and prescribing outcomes.
- Identify gaps and priorities for Australian programmes.
3. Key Questions
- How do Australian curricula differ from international models in content, integration, and assessment?
- Which approaches improve pharmacology knowledge and prescribing outcomes?
- What is Australia’s relative position on competency frameworks and core concepts adoption?
4. Methods
4.1. PICOS Framework
4.2. Eligibility Criteria
4.2.1. Inclusion Criteria
4.2.2. Exclusion Criteria
4.3. Search Strategy
4.4. Study Selection & Data Extraction
4.5. Methodological Quality Assessment
4.6. Risk of Bias Assessment
4.7. Statistical Analysis
5. Results
5.1. Study Selection
5.2. Characteristics of Included Studies
5.3. Risk Bias Assessment
5.4. Quality Assessment of Included Studies
5.5. Primary Outcomes
5.5.1. Pharmacology Knowledge
5.5.2. Student Satisfaction
6. Discussion
7. Limitations
8. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Component | Description |
|---|---|
| Population (P) | Students of medicine, pharmacy, nursing, dentistry, and Allied health departments studying pharmacological curricula across global institutions. |
| Intervention (I) | Teaching approaches in pharmacology and clinical pharmacology, including integrated, PBL, flipped, simulation, VR, gamification, concept-based curricula, and competency frameworks. |
| Comparison (C) | Traditional Lecture-Based Teaching, Conventional Teaching Methods, Standard Curriculum. |
| Outcomes (O) | Primary outcomes are knowledge, Academic Performance, Knowledge Assessment, Clinical Competence, Objective Structured Clinical Examination, Prescribing Competency, Student Satisfaction scores. |
| Study Design (S) | Randomised Controlled Trial, Quasi-Experimental Study, Cross-Sectional Study, Mixed Methods Study, Curriculum Evaluation, national surveys, Delphi frameworks, and mixed methods. |
| Author, Year | Region/Country | Study Population | Study Groups | Study Design | Assessment Tool | Institute | Study Period | Pharmacology Knowledge | Student Satisfaction (Likert Scale) |
|---|---|---|---|---|---|---|---|---|---|
| Felemban et al., 2025 [38] | Saudi Arabia | 76 medical students | Case based learning = 40 Lecture based learning = 36 | Randomised experimental study | General electronic survey | College of Medicine (COM) of King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) | 4 weeks 2023–2024 | G1 = 4.08 (1.63) G2 = 4.75 (1.72) 0.40 [95%CI; 0.20–1.09] | G1 = 4.53 (0.74) G2 = 4.73 (0.51) 0.30 [95% CI; 0.10–0.80] |
| Nicolaou et al., 2024 [39] | United Kingdom | 296 medical students | Case based learning = 58 Lecture based learning = 209 | Mixed methods study | Student questionnaire | St. George’s University of London and University of Nicosia | 2022–2024 | G1 = 18.0 ± 5.02 G2 = 28.90 ± 5.39 2.05 [95%CI; 1.65–3.07] | G1 = 3.6 ± 0.8 G2 = 3.8 ± 0.9 0.23 [95% CI; 0.05–0.40] |
| Arien-Zakay et al., 2024 [40] | Israel | 1275 Undergraduate nursing students (pre-clinical pharmacology) | Lecture-based learning (LBL) = 849 Blended learning = 426 | Quasi-experimental cohort | Final in-class exam & end-of-course satisfaction course | Hebrew University of Jerusalem | 2016–2020 | G1 = 64.6 ± 16.0 G2 = 76.4 ± 16.0 0.74 = [95% CI; 0.56–1.1] | G1 = 328 7.8 ± 1.3 G2 = 133 8.3 ± 0.7 0.46 [95% CI; 0.34–0.95] |
| Nezhad et al., 2024 [41] | Middle East: Iran | 240 undergraduate pharmacy students | Integrated group = 120 Traditional group = 120 | Quasi-experimental, pre–post comparative study | Final exam & validated 5-point Likert-scale questionnaire | Tehran University of Medical Sciences | 2021–2023 | G1 = 82.4 ± 7.6 G2 = 74.8 ± 8.5 0.94 | G1 = 4.3 ± 0.6 G2 = 3.5 ± 0.7 SMD = 1.23 |
| Tekeş et al., 2025 [42] * | Turkey | 97 medical students | Pre-test vs. post-test | Mixed-methods quantitative study | Likert scale | Çanakkale Onsekiz Mart University | 2023–2024 | G1 = 41.15 ± 4.11 G2 = 37.24 ± 3.73 0.994 | |
| Mengesha et al., 2025 [43] | Ethiopia | 420 undergraduate health science students | Active learning = 210 Passive learning = 210 | Cross-sectional, descriptive-analytical | Pharmacology knowledge & student satisfaction Likert scale | University of Gondar, College of Medicine and Health Sciences | October–December 2024 | G1 = 14.6 ± 2.8 G2 = 12.1 ± 3.2 0.82 (0.61–1.04, p < 0.001) | G1 = 4.1 ± 0.6 G2 = 3.3 ± 0.8 1.13 (0.92–1.34, p < 0.01) |
| Zhang et al., 2024 [44] | China | 245 undergraduate medical students | Integrated teaching = 119 Conventional teaching = 121 | Prospective cohort study | Pharmacology drug exam | Anhui Medical University, Hefei, China | 2019–2020 | G1: 64 ± 17.6 G2: 56 ± 18.9 0.44 (0.14–0.74) | G1 = 22 G2 = 12 0.40 |
| Meechan et al., 2011 [45] | UK | 240 Undergraduate adult nursing students | Integrated teaching = 120 Conventional teaching = 120 | Randomised Controlled Trial | Pharmacology Assessment Tool, & Self-Assessment Rating Score (SARS)—7-item, 4-point Likert | Institute of Health & Society, University of Worcester | 2007–2008 | G1 = 63.98 ± 2.91 G2 = 48.62 ± 3.59 4.67 [95% CI; 3.98, 5.36] | G1 = 2.33 (0.729) G2 = 3.57 (0.927) −1.48 = 95% CI ≈ [−1.88, −1.08] |
| Sharp et al., 2023 [46] | India | 175 MBBS students | Modern curriculum = 98 Old curriculum = 77 | Cross-sectional comparative study | Performance in exams | Govt. Medical College, Jalgaon, Maharashtra, India | 2017–2019 | G1 = 66.2 ± 7.3 G2 = 75.8 ± 5.4 −1.45 [95%CI: −0.45, −3.67] | |
| Inam et al., 2022 [47] | Pakistan | 305 undergraduate MBBS students | Integrated curriculum = 137 Traditional curriculum = 168 | Observational, cross-sectional study | Final Professional Pharmacology Examination | Azra Naheed Medical College, Superior University | April–May 2022 | G1 = 188.04 ± 31.8 G2 = 204.98 ± 17.0 0.67 (0.44–0.90) | |
| Luitjes et al., 2024 [48] | Netherlands | 686 students | Team-based learning (TBL) = 196 Conventional = 490 | Mixed-method study | Final exam and feedback questionnaire | Utrecht University Medical School, UMC Utrecht | 2021–2023 | G1 = 76.74 ± 14.85 G2 = 64.33 ± 17.85 0.73 (0.56–0.90) | |
| Yadav et al., 2015 [49] | India | 330 undergraduate medical students | Integrated teaching = 165 Conventional = 165 | Quasi-experimental design | Pre and post knowledge scores | Government Medical College & New Civil Hospital, Surat | 2013–2014 | G1 = 24.48 ± 6.58 G2 = 19.52 ± 4.87 G = 0.33 (0.08–0.57) |
| Author (Year) | Q1 Similar Groups | Q2 Exposure Measured | Q3 Valid Exposure | Q4 Confounders Identified | Q5 Confounders Addressed | Q6 Outcome Free at Start | Q7 Valid Outcomes | Q8 Follow-Up Sufficient | Q9 Complete Follow-Up | Q10 Incomplete Follow-Up Addressed | Q11 Stats Appropriate | Total (Out of 11) | Quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nicolaou et al., 2024 [39] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | 7/11 | Moderate–High |
| Arien-Zakay et al., 2024 [40] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✓ | ? | ✓ | 8/11 | High |
| Nezhad et al., 2024 [41] | ✓ | ✓ | ✓ | ✓ | ? | ✓ | ✓ | ✓ | ✓ | ? | ✓ | 9/11 | High |
| Tekeş et al., 2025 [42] * | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | 7/11 | Moderate–High |
| Mengesha et al., 2025 [43] | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ? | ? | ✓ | 9/11 | High |
| Zhang et al., 2024 [44] | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ? | ✗ | ✓ | 7/11 | Moderate–High |
| Meechan et al., 2011 [45] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | 7/11 | Moderate–High |
| Sharp et al., 2023 [46] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | 8/11 | High |
| Inam et al., 2022 [47] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | 8/11 | High |
| Luitjes et al., 2024 [48] | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ? | ✗ | ✓ | 7/11 | Moderate–High |
| Yadav et al., 2015 [49] | ✓ | ✓ | ✓ | ? | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | 7/11 | Moderate–High |
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Omar, S.H.; Barwick, A. International Benchmarking of Pharmacology Curricula and Prescribing Related Learning Outcomes, Implications for Australian Health Professional Education: A Systematic Review and Meta-Analysis. Pharmacy 2026, 14, 27. https://doi.org/10.3390/pharmacy14010027
Omar SH, Barwick A. International Benchmarking of Pharmacology Curricula and Prescribing Related Learning Outcomes, Implications for Australian Health Professional Education: A Systematic Review and Meta-Analysis. Pharmacy. 2026; 14(1):27. https://doi.org/10.3390/pharmacy14010027
Chicago/Turabian StyleOmar, Syed Haris, and Anna Barwick. 2026. "International Benchmarking of Pharmacology Curricula and Prescribing Related Learning Outcomes, Implications for Australian Health Professional Education: A Systematic Review and Meta-Analysis" Pharmacy 14, no. 1: 27. https://doi.org/10.3390/pharmacy14010027
APA StyleOmar, S. H., & Barwick, A. (2026). International Benchmarking of Pharmacology Curricula and Prescribing Related Learning Outcomes, Implications for Australian Health Professional Education: A Systematic Review and Meta-Analysis. Pharmacy, 14(1), 27. https://doi.org/10.3390/pharmacy14010027

