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The purpose of this study is to examine the effect of a simulation-based education program designed based on cognitive load theory on the development of medication administration competency of nursing students.
The study was designed according to a pre-post test control group randomized controlled experimental design. During the research procedure, the medication administration competency training program will be implemented to the groups by using two different methods. In the training program will be applied to the experiment group will designed to be considered of the intrinsic, extraneous, and germane loads described in Cognitive Load Theory.
For randomization, a list of students who will be agreed to participate in the study, will be created and assigned serial numbers by a faculty other than researcher. The control and experiment groups will be formed by randomly assigning these serial numbers using a computer program (www.random.org). To prevent repeated student evaluations and potential bias, students will be tracked using their serial numbers during the data collection process.
The control group will receive the medication administration competency training program using the conventional education method.
A cognitive load theory-based medication administration competency training program will be applied to the experiment group of students. The cognitive load theory explains the amount of mental effort that is required to perform mental processes and is loaded onto memory resources. This theory helps to make learning more effective by reducing students' cognitive load, taking into account factors such as the complexity of learning materials and their presentation format. In this context, the content structuring of the training program will be determined according to the students' knowledge levels and cognitive loads that will be identified before the training program. The training program consists of theoretical education, skill training, medication administration competency virtual simulations, and scenario applications. The students' knowledge levels, cognitive loads, and medication administration competency self-assessments will be evaluated before and after the theoretical education. Skill levels will be evaluated by using structured observation tools during the skill training, and cognitive loads and clinical decision-making competency levels will be evaluated at the end of the scenario.
In data collection:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control- standard medication education | Experimental | The control group will receive a traditional medication administration proficiency training program. |
|
| Experiment- cognitive load theory based on medication education | Experimental | The experiment group will receive a cognitive load theory-based medication administration training program. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Control- standard medication education | Other | Common Procedure: - "Student Information and Consent Form will be obtained from the students. For the control group
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in medication administration knowledge level | Medication Administration Knowledge Test scores of students in a simulation-based training programme designed according to cognitive load theory are higher than those of students in the standard training programme. | The Medication Administration Knowledge Test will be administered before the training and again one week after the training. The change in these time intervals will be assessed. |
| Comparison of medication administration skill performances | The Objective Structured Clinical Examination (OSCE) scores of students in a simulation-based training programme designed according to cognitive load theory are higher than those of students in the standard training programme. | It will be conducted one week after the skill training. The change in these time intervals will be assessed. |
| Comparison of Clinical Decision Making Skill Level | Students' scores on the control list for safe drug administration scenarios in a simulation-based training programme designed according to cognitive load theory are higher than those of students in the standard training programme. | The assessment will be conducted one week after the objective structured skill examination. The change in these time intervals will be assessed. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hilal Yıldız Çelik, Phd Student | Contact | 02165004172 | hilal.yildiz@acibadem.edu.tr | |
| Esra UÄŸur, associate professor | Contact | 02165004164 | esra.ugur@acibadem.edu.tr |
| Name | Affiliation | Role |
|---|---|---|
| Hilal Yıldız Çelik, Phd student | Acibadem University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Acıbadem Unıversity | Istanbul | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33640776 | Background | Rogers BA, Franklin AE. Cognitive load experienced by nurses in simulation-based learning experiences: An integrative review. Nurse Educ Today. 2021 Apr;99:104815. doi: 10.1016/j.nedt.2021.104815. Epub 2021 Feb 20. | |
| 26154251 | Background | Fraser KL, Ayres P, Sweller J. Cognitive Load Theory for the Design of Medical Simulations. Simul Healthc. 2015 Oct;10(5):295-307. doi: 10.1097/SIH.0000000000000097. |
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|
| Experiment- cognitive load theory based on medication education | Other | For the experiment group
|
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| 30153925 | Background | McMullan M. Evaluation of a medication calculation mobile app using a cognitive load instructional design. Int J Med Inform. 2018 Oct;118:72-77. doi: 10.1016/j.ijmedinf.2018.07.005. Epub 2018 Jul 24. |
| Background | Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1-16. Doi: https://doi.org/10.1007/s11423-019-09701-3 |
| Background | Josephsen, J. (2018). Cognitive load measurement, worked-out modeling, and simulation. Clinical Simulation in Nursing, 23, 10-15. doi:https://doi.org/10.1016/j.ecns.2018.07.004 |