Perceptions of and Preparedness for the Application of Pharmacoeconomics in Practice, among Final Year Bachelor of Pharmacy Students in South Africa: A National Cross-Sectional Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Population
2.2. Data Collection Instrument and Procedure
2.3. Data Capture and Analysis
2.4. Ethical Considerations
3. Results
3.1. Response Rate
3.2. Respondent Demographics
3.3. Pharmacoeconomics Education during the BPharm Programme
3.4. Understanding of Pharmacoeconomic Concepts
3.5. Relevance of Pharmacoeconomics in Practice
3.6. Preparedness for Application of Pharmacoeconomics in Practice
3.7. Sensitivity Analysis
3.8. Future Education in Pharmacoeconomics
4. Discussion
5. 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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University | Number of Final Year Bachelor of Pharmacy Students, 2018 | Response Rate | |
---|---|---|---|
Number (n) | Percentage (%) | ||
A | 80 | 44 | 55.0 |
B | 94 | 17 | 18.1 |
C | 141 | 58 | 41.1 |
D | 49 | 46 | 93.9 |
E | 132 | 24 | 18.2 |
Total | 496 | 189 | 38.1 |
Student Demographics | Number (%) | |
---|---|---|
Gender (n = 189) | Female | 135 (71.4) |
Male | 54 (28.6) | |
Race (n = 187) | Black African | 140 (74.9) |
Coloured | 7 (3.7) | |
Indian | 16 (8.6) | |
White | 24 (12.8) | |
Age (n = 182) | Younger than 22 years | 12 (6.6) |
22–25 years | 126 (69.2) | |
Older than 25 years | 44 (24.2) | |
Degrees other than BPharm (n = 13) | Master of Medicine in Physiology | 1 (7.7) |
Bachelor of Science | 2 (15.4) | |
Bachelor of Science (Honours) in Cellular Biology | 1 (7.7) | |
Bachelor of Science (Honours) in Microbiology | 1 (7.7) | |
Bachelor of Science in Biochemistry | 1 (7.7) | |
Bachelor of Science in Biochemistry and Physiology | 1 (7.7) | |
Bachelor of Science in Biological Science | 1 (7.7) | |
Bachelor of Science in Medicinal Science | 1 (7.7) | |
Bachelor of Science in Microbiology and Biochemistry | 1 (7.7) | |
Bachelor of Science in Molecular Life Sciences | 3 (23.1) | |
Intended sector of internship (n = 179) | Academic institution | 19 (10.6) |
Community pharmacy | 27 (15.1) | |
Manufacturing pharmacy | 10 (5.6) | |
Private sector institutional pharmacy | 14 (7.8) | |
Public sector institutional pharmacy | 88 (49.2) | |
The respondent did not know | 21 (11.7) |
Pharmacoeconomics Education | Number (%) | |
---|---|---|
Subject/module/course under which pharmacoeconomics was offered (n = 164) * | ||
Community Pharmacy-Based Learning | Community Pharmacy Practice | Community Pharmacy | 10 (6.1) | |
Hospital Community Pharmacy | Hospital Pharmacy and Community Pharmacy | Hospital Pharmacy Practice and Community Pharmacy Practice | 4 (2.4) | |
Hospital Management | Hospital Pharmacy | Hospital Pharmacy Management | Hospital Pharmacy Practice | Hospital Pharmacy Practice-Based Learning | Hospital-Based Learning Module | Hospital-Based Pharmacy | 62 (37.8) | |
Natural Products and Evidence | 1 (0.6) | |
Pharmaceutical Care | 1 (0.6) | |
Pharmaceutical Logistics, Economics and Management | Pharmaceutical Logistics | Pharmaceutical Management | 51 (31.1) | |
Pharmacology | 2 (1.2) | |
Pharmacy and the Professional Environment | Pharmacy Practice and the Professional Environment | Pharmacy Practice | Philosophy of Pharmacy Practice | 19 (11.6) | |
Pharmacy People and Systems | 8 (4.9) | |
Pharmacy Research Project | Pharmacy Research | Research Methodology | Research Module | 6 (3.7) | |
Specialised Pharmacy and Pharmacoeconomics | Specialised Pharmacy | 3 (1.2) | |
Third Year level | 68 (38.2) | |
Fourth Year level | 74 (41.6) | |
Both third and fourth-year levels | 36 (20.2) | |
Elective subject/module/course | 4 (2.3) | |
Mandatory subject/module/course | 158 (89.3) | |
Inclusion of pharmacoeconomics other than mandatory or elective subject/module/course | 2 (1.1) | |
The respondent did not know | 13 (7.3) | |
Forms of pharmacoeconomics knowledge assessment during BPharm programme (n = 128) * | ||
Assignments | 15 (11.7) | |
Calculations | 4 (3.1) | |
Exams | 81 (63.3) | |
Multiple choice questions | 5 (3.9) | |
Oral exam | 5 (3.9) | |
Portfolios | 1 (0.8) | |
Practical work | Experimental learning | PTC-meeting attendance | Taking part in analyses | 4 (3.1) | |
Presentations | 3 (2.3) | |
Scenario-based questions | Case studies | Application questions | In-depth questions | 6 (4.7) | |
Summative and formative assessments | Assessments | Final assessments | Module assessments | 8 (6.3) | |
Tests (Semester tests | Class tests) | 70 (54.7) | |
Workshops | 1 (0.8) | |
Medium of pharmacoeconomics teaching during BPharm programme (n = 175) * | ||
Lectures | 154 (88.0) | |
Practical work | 45 (25.7) | |
Tutorials | 37 (21.1) | |
Workshops | 45 (25.7) | |
Another medium of teaching pharmacoeconomics | 4 (2.3) | |
Hours of pharmacoeconomics training received during BPharm programme (n = 100) | ||
Less than 1 h | 20 (20.0) | |
1–4 h | 46 (46.0) | |
5–7 h | 14 (14.0) | |
More than 7 h | 20 (20.0) |
Understanding of Pharmacoeconomic Concepts and Their Application | Number (%) | ||||
---|---|---|---|---|---|
Poor | Fair | Good | NA | ||
Level of understanding | Basic pharmacoeconomic concepts (n = 172) | 26 (14.9) | 92 (53.6) | 51 (29.7) | 3 (1.8) |
Advanced pharmacoeconomic concepts (n = 172) | 53 (30.8) | 74 (43.0) | 40 (23.8) | 5 (2.9) | |
Correct answer | |||||
What the scope
of pharmacoeconomics entails | Evaluates and measures costs and benefits of drug therapy (n = 162) | 154 (95.1) | |||
Involves a combination of health economics and clinical outcomes (n = 156) | 145 (92.9) | ||||
Compares different pharmaceutical interventions to each other (n = 154) | 125 (81.2) | ||||
Examines and calculates costs of medicines and treatments only (n = 154) | 89 (57.8) | ||||
Measures the impact of medicine-related costs on medicine budgets (n = 156) | 5 (3.2) | ||||
Correct answer | |||||
How outcomes for
pharmacoeconomic analyses are measured | CBA outcomes may be similar or different units and always expressed in monetary units (n = 139) | 28 (20.1) | |||
CEA outcomes are measured in similar natural health units across therapies (n = 139) | 30 (21.6) | ||||
CMA outcomes are measured by assuming that health benefits are equivalent and can take any form (n = 138) | 26 (18.8) | ||||
CUA outcomes value health benefits across therapies in similar units, depending on individual preference (n = 136) | 45 (33.1) |
Number (%) | |||||
---|---|---|---|---|---|
The relevance of pharmacoeconomics in South African medicines management | Irrelevant | Neutral No opinion | Relevant | ||
Strongly disagree | Disagree | Agree | Strongly agree | ||
Improves medicine-related decisions in South African healthcare system [n = 159] | 7 (4.4) | 8 (5.0) | 144 (90.6) | ||
5 (3.1) | 2 (1.3) | 69 (43.4) | 75 (47.2) | ||
Ensures optimal use of medicine budgets across the South African public health sector [n = 159] | 11 (6.9) | 6 (3.8) | 142 (89.3) | ||
7 (4.4) | 4 (2.5) | 79 (49.7) | 63 (39.6) | ||
Should form an integral part of the South African National Health Insurance system [n = 159] | 9 (5.7) | 12 (7.5) | 138 (86.8) | ||
6 (3.8) | 3 (1.9) | 67 (42.1) | 71 (44.7) | ||
Will improve access to medicines [n = 160] | 7 (4.4) | 17 (10.6) | 136 (85.0) | ||
5 (3.1) | 2 (1.3) | 83 (51.9) | 53 (33.1) | ||
Instances of pharmacoeconomic analyses application in South Africa | Not used | Neutral No opinion | Used | ||
Strongly disagree | Disagree | Agree | Strongly agree | ||
Pricing of medicines [n = 158] | 8 (5.1) | 14 (8.9) | 136 (86.1) | ||
3 (1.9) | 5 (3.2) | 89 (56.3) | 47 (29.7) | ||
Planning of production and sales of medicines [n = 158] | 8 (5.1) | 16 (10.1) | 134 (84.8) | ||
4 (2.5) | 4 (2.5) | 100 (63.3) | 34 (21.5) | ||
Inclusion of medicines in medicine formularies (e.g., EML, medical aid formularies, STGs) [n = 158] | 11 (7.0) | 25 (15.8) | 122 (77.2) | ||
6 (3.8) | 9 (5.7) | 70 (44.3) | 52 (32.9) | ||
Clinical decision-making at the individual patient level, in the case of medicine not included in EML, medical aid formularies, STGs [n = 158] | 12 (7.6) | 29 (18.4) | 117 (74.1) | ||
4 (2.5) | 8 (5.1) | 70 (44.3) | 47 (29.7) | ||
Registration of new medicines with the South African Health Products Regulatory Authority [n = 158] | 15 (9.5) | 30 (19.0) | 113 (71.5) | ||
6 (3.8) | 5 (3.2) | 75 (47.5) | 38 (24.1) | ||
Not important | Neutral No opinion | Important | |||
Strongly disagree | Disagree | Agree | Strongly agree | ||
Pharmacoeconomics is an important skill that South African pharmacists should possess [n = 160] | 7 (4.4) | 11 (6.9) | 142 (88.8) | ||
6 (3.8) | 1 (0.6) | 69 (43.1) | 73 (45.6) | ||
Number (%) | |||||
South African health sector to which pharmacoeconomic application is relevant [n = 159] | The private sector only (e.g., medical aid formularies) | 6 (3.8) | |||
Public sector only (e.g., EML, STGs) | 11 (6.9) | ||||
Both private and public sector | 134 (84.3) | ||||
The respondent did not know | 8 (5.0) | ||||
Professions to perform pharmacoeconomic analyses in practice [n = 163] | Health economists | 140 (85.9) | |||
Pharmacists | 137 (84.0) | ||||
Medical practitioners | 71 (43.6) | ||||
Economists | 64 (39.3) | ||||
Accountants | 52 (31.9) | ||||
Nursing practitioners | 42 (25.8) | ||||
Epidemiologists | 33 (20.2) | ||||
Mathematical modellers | 20 (12.3) | ||||
Demographers | 16 (9.8) | ||||
People with mathematical background | 15 (9.2) |
Number (%) | ||||||
---|---|---|---|---|---|---|
Opinions on pharmacoeconomics | Negative | Neutral No opinion | Positive | |||
Strongly disagree | Disagree | Agree | Strongly agree | |||
Exposure to pharmacoeconomics during the BPharm programme was sufficient to understand basic principles and concepts [n = 168] | 64 (38.1) | 13 (7.7) | 91 (54.2) | |||
16 (9.5) | 48 (28.6) | 75 (44.6) | 16 (9.5) | |||
Pharmacoeconomics is interesting and enjoyable [n = 168] | 40 (23.8) | 37 (22.0) | 91 (54.2) | |||
11 (6.5) | 29 (17.3) | 65 (38.7) | 26 (15.5) | |||
Preparedness to apply pharmacoeconomics in practice | Unprepared | Neutral No opinion | Prepared | |||
Strongly disagree | Disagree | Agree | Strongly agree | |||
Knows where to find more information on pharmacoeconomic concepts [n = 168] | 48 (28.6) | 25 (14.9) | 95 (56.5) | |||
11 (6.5) | 37 (22.1) | 77 (45.8) | 18 (10.7) | |||
Can interpret results of pharmacoeconomic analyses for decision-making [n = 165] | 59 (35.8) | 29 (17.6) | 77 (46.7) | |||
13 (7.9) | 46 (27.9) | 71 (43.0) | 6 (3.6) | |||
Adequately prepared to apply pharmacoeconomic concepts in practice to conduct analyses [n = 168] | 79 (47.0) | 31 (18.5) | 58 (34.5) | |||
15 (8.9) | 64 (38.1) | 50 (29.7) | 8 (4.8) | |||
Negative | Neutral No opinion | Positive | ||||
Very incompetent | Incompetent | Competent | Very competent | |||
Competence in performing basic pharmacoeconomic analyses [n =164] | 45 (27.4) | 44 (26.5) | 75 (45.7) | |||
10 (6.1) | 35 (21.5) | 68 (41.7) | 7 (4.3) | |||
Never | Rarely | Often | ||||
Expected frequency of performing pharmacoeconomic analyses | Cost-minimisation analysis [n = 164] | 23 (14.0) | 62 (37.8) | 79 (48.2) | ||
Cost-benefit analysis [n = 161] | 19 (11.8) | 64 (39.8) | 78 (48.4) | |||
Cost-effectiveness analysis [n = 163] | 21 (12.9) | 72 (44.2) | 70 (42.9) | |||
Cost-utility analysis [n = 163] | 24 (14.7) | 74 (45.4) | 65 (39.9) |
Level of Understanding of
Pharmacoeconomics | University D | Universities B and E | Universities A and C | |
---|---|---|---|---|
High Response Rate | Medium Response Rate | Low Response Rate | ||
n | 45 | 95 | 31 | |
Basic pharmacoeconomic concepts | Mean (SD) | 2.316 (0.5697) | 2.036 (0.6123) | 2.332 (0.4423) |
p-value * | 0.006 | |||
Advanced pharmacoeconomic concepts | Mean (SD) | 2.271 (0.4251) | 1.796 (0.6135) | 2.184 (0.4872) |
p-value * | <0.001 |
Preparedness to Apply
Pharmacoeconomics in Practice | University D | Universities B and E | Universities A and C | |
---|---|---|---|---|
High Response Rate | Medium Response Rate | Low Response Rate | ||
Can interpret results of pharmacoeconomic analyses for decision-making | n | 44 | 93 | 28 |
Agree; No (%) | 22 (50.0) | 40 (43.0) | 15 (53.6) | |
Neutral; No (%) | 19 (43.2) | 44 (47.3) | 12 (42.9) | |
Disagree; No (%) | 3 (6.8) | 9 (9.7) | 1 (3.6) | |
p-value * | 0.810 | |||
Adequately prepared to apply pharmacoeconomic concepts in practice to conduct analyses | n | 46 | 94 | 28 |
Agree; No (%) | 17 (37.0) | 31 (33.0) | 10 (35.7) | |
Neutral; No (%) | 26 (56.5) | 55 (58.5) | 14 (50.0) | |
Disagree; No (%) | 3 (6.5) | 8 (8.5) | 4 (14.3) | |
p-value * | 0.792 |
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Schmidt, C.; Matlala, M.; Godman, B.; Kurdi, A.; Meyer, J.C. Perceptions of and Preparedness for the Application of Pharmacoeconomics in Practice, among Final Year Bachelor of Pharmacy Students in South Africa: A National Cross-Sectional Study. Pharmacy 2023, 11, 54. https://doi.org/10.3390/pharmacy11020054
Schmidt C, Matlala M, Godman B, Kurdi A, Meyer JC. Perceptions of and Preparedness for the Application of Pharmacoeconomics in Practice, among Final Year Bachelor of Pharmacy Students in South Africa: A National Cross-Sectional Study. Pharmacy. 2023; 11(2):54. https://doi.org/10.3390/pharmacy11020054
Chicago/Turabian StyleSchmidt, Carlien, Moliehi Matlala, Brian Godman, Amanj Kurdi, and Johanna C. Meyer. 2023. "Perceptions of and Preparedness for the Application of Pharmacoeconomics in Practice, among Final Year Bachelor of Pharmacy Students in South Africa: A National Cross-Sectional Study" Pharmacy 11, no. 2: 54. https://doi.org/10.3390/pharmacy11020054
APA StyleSchmidt, C., Matlala, M., Godman, B., Kurdi, A., & Meyer, J. C. (2023). Perceptions of and Preparedness for the Application of Pharmacoeconomics in Practice, among Final Year Bachelor of Pharmacy Students in South Africa: A National Cross-Sectional Study. Pharmacy, 11(2), 54. https://doi.org/10.3390/pharmacy11020054