| Literature DB >> 32130849 |
Do-Hwan Kim1, Jung-Ho Lee2, Soon Ae Kim2.
Abstract
PURPOSE: A pharmacology course in undergraduate medical education aims to enable students to cultivate the ability of applying drugs in the clinical context using basic scientific knowledge. Although team-based learning could be a useful approach, the literature on pharmacology education using team-based learning is limited. This study aims to evaluate the effectiveness of a pharmacology course using team-based learning.Entities:
Keywords: Pharmacology; Program evaluation; Team-based learning
Mesh:
Year: 2020 PMID: 32130849 PMCID: PMC7066433 DOI: 10.3946/kjme.2020.151
Source DB: PubMed Journal: Korean J Med Educ ISSN: 2005-727X
Fig. 1.Conceptual Framework about Research Design
ICP: Integrated clinical pharmacology, PCS: Post-course survey, CBMSE: Comprehensive Basic Medical Sciences Examination, iRAT: Individual Readiness Assurance Test, gRAT: Group Readiness Assurance Test, AT: Advanced Test.
Overview of Pharmacology Education in Eulji University School of Medicine M3 Curriculum
| Semester | Name of the courses | Description (major contents) | Credits | Teaching hours (%) |
|---|---|---|---|---|
| 1st | Basic neuroscience | Local anesthetic pharmacology central nervous system pharmacology | 7.5 | 23 (19.8) |
| Understanding human responses | Pharmacokinetics pharmacodynamics autonomic nervous system pharmacology cardiovascular pharmacology endocrine pharmacology | 9 | 58 (50.0) | |
| 2nd | Oncology | Cancer pharmacology | 2 | 2 (1.7) |
| Pathology of human body | Non-steroidal anti-inflammatory drugs | 1.5 | 2 (1.7) | |
| Infection and defense mechanism | Antimicrobial pharmacology | 5 | 18 (15.5) | |
| Genetics in medicine | Pharmacogenomics | 3.5 | 13 (11.2) | |
| Integrated clinical pharmacology | Team-based learning of pharmacologic knowledge previously learned in first and second semesters | 1 | - | |
| Comprehensive basic medical sciences examination[ | Nation-wide examination for major basic medical science disciplines including pharmacology | 1 | - |
The course had used a pass-fail grading system until 2016 and has changed to a letter-based grade (A-F) since 2017.
Students’ Characteristics
| Characteristic[ | 2017M3 (N=43) | 2018M3 (N=49) | Total (N=92) |
|---|---|---|---|
| TBL syllabus for pharmacology[ | None | ICP (1-week TBL course) | |
| Gender | |||
| Male | 25 (58.1) | 36 (73.5) | 61 (66.3) |
| Female | 18 (41.9) | 13 (26.5) | 31 (33.7) |
| Age (yr) | 23.0±2.30 (20–33) | 22.7±1.68 (21–28) | 22.8±1.99 (20–33) |
| Total score of UHR | 74.3±7.70 (58.7–91.7) | 71.7±10.00 (38.0–95.0) | 72.9±9.05 (38.0–95.0) |
| Percentile rank of CBMSE | 45.2±28.8 (1.93–98.3) | 43.2±27.8 (1.05–94.4) | 44.1±28.1 (1.05–98.3) |
Data are presented as number (%) or mean±standard deviation (range).
TBL: Team-based learning, ICP: Integrated clinical pharmacology, UHR: Understanding human responses, CBMSE: Comprehensive basic medical sciences examination.
None of the characteristics were significantly different between 2017M3 and 2018M3 cohorts.
In 2017, students were provided with one week for self-study, without any didactic instruction. This one week was replaced by ICP—a one-week TBL course in clinical pharmacology.
Post-course Survey for TBL
| Type of question | Contents | Value | Median |
|---|---|---|---|
| Likert-scale[ | The difficulty of iRAT was appropriate considering my preparedness and level of related knowledge. | 3.16±1.20 | 3 |
| The quality of teaching and learning among students was high. | 3.77±1.04 | 4 | |
| It is desirable to apply TBL to other subjects. | 3.82±1.22 | 4 | |
| Overall, TBL was useful to learn clinical pharmacology. | 3.94±1.07 | 4 | |
| Knowledge acquired through group discussion was extensive. | 3.96±0.91 | 4 | |
| Learning climate within the group was largely supportive. | 4.04±0.89 | 4 | |
| Group members were active in teaching each other. | 4.12±0.83 | 4 | |
| Group members were actively participating for most of the time. | 4.16±0.99 | 4 | |
| Time was sufficiently given for enough amount of discussion. | 4.24±0.90 | 4 | |
| Diverse learning materials were used to solve given problems. | 4.31±0.82 | 5 | |
| All group members collaborated efficiently. | 4.33±0.69 | 4 | |
| The place was appropriate for discussion | 4.43±0.76 | 5 | |
| Open-ended questions | It was difficult to comprehend clinical concepts. | 8/27 (29.6) | - |
| Undertaking peer evaluation was troublesome. | 6/27 (22.2) | - | |
| Morning sessions needed to be more aligned with TBL sessions in the afternoon. | 6/27 (22.2) | - |
Data are presented as mean±standard deviation or number (%).
TBL: Team-based learning, iRAT: Individual Readiness Assurance Test.
1: Strongly disagree, 2: Disagree, 3: Neutral, 4: Agree, 5: Totally agree.
Student Assessment Results in TBL and Their Correlations (Individual and Group Level)
| Classification | Category | Mean±standard deviation | Individual level | Group level | |||
|---|---|---|---|---|---|---|---|
| iRAT | Peer evaluation | iRAT | gRAT | AT | |||
| Individual level | iRAT[ | 9.06±2.10 | - | -0.079 (p=0.591) | |||
| Peer evaluation | 9.96±1.45 | - | |||||
| Group level[ | iRAT[ | 9.04±0.89 | - | 0.710 (p=0.032) | 0.145 (p=0.709) | ||
| gRAT | 18.0±1.00 | - | 0.400 (p=0.286) | ||||
| AT | 16.0±2.00 | - | |||||
TBL: Team-based learning, iRAT: Individual Readiness Assurance Test, gRAT: Group Readiness Assurance Test, AT: Advanced Test.
The iRAT score of each student.
Differences between iRAT, gRAT, and AT scores were significant (F=103.234, p<0.001). Post hoc analysis (Scheffe’s test) showed significant difference among three scores (iRAT
The average iRAT scores for each group ranged between 7.68 and 10.4 points, with a median score of 9.00. There was no statistically significant difference among average iRAT scores of nine groups (p=0.494).
Percentile Rank Scores of Comprehensive Basic Medical Sciences Examination of M3 Cohorts in 2017 and 2018
| Subjects | Total (low achievers+high achievers) | Low achievers[ | High achievers[ | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2017 (N=43) | 2018 (N=49) | p-value[ | 2017 (N=22) | 2018 (N=25) | p-value[ | 2017 (N=21) | 2018 (N=24) | p-value[ | |
| Anatomy | 59.3±26.6 | 55.4±27.9 | 0.498 | 47.1±22.1 | 52.6±27 | 0.451 | 72.1±25.3 | 58.4±29 | 0.100 |
| Physiology | 49.1±29.4 | 48.9±26.4 | 0.963 | 41.8±28 | 49.2±28.1 | 0.372 | 56.9±29.6 | 48.6±25.2 | 0.316 |
| Biochemistry | 39.1±24.7 | 38.4±27.2 | 0.897 | 32.9±20.9 | 31.9±26.4 | 0.882 | 45.6±27.2 | 45.2±26.9 | 0.962 |
| Pathology | 53.3±28.1 | 39.1±23.8 | 0.010 | 39.9±26.3 | 32.7±22 | 0.312 | 67.3±22.9 | 45.7±24.2 | 0.004 |
| Pharmacology | 46.4±30.4 | 54±27.8 | 0.215 | 31.4±23.9 | 50.8±28 | 0.015 | 62.1±28.9 | 57.3±27.9 | 0.571 |
| Microbiology | 50.3±29.2 | 54±25 | 0.520 | 33.6±22.2 | 51.9±27.7 | 0.017 | 67.8±25.4 | 56.1±22.2 | 0.106 |
| Parasitology | 40.6±24.6 | 36.8±20.5 | 0.432 | 32.7±22.6 | 32.7±20.8 | 0.998 | 48.8±24.5 | 41.2±19.6 | 0.251 |
| Total | 45.2±28.8 | 43.2±27.8 | 0.736 | 28.3±17.2 | 38.3±27.8 | 0.152 | 62.9±28.1 | 48.3±27.4 | 0.085 |
Data are presented as mean±standard deviation.
Students were divided into two groups based on the median score in “understanding human responses” course, which they took in previous semester.
By independent sample t-test.