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Published on: January 8, 2019
Decision-based learning for teaching arterial blood gas analysis
Sheri Tesseyman1, Tracy Poulsen2, Samantha Rainsdon-Meek2
1Brigham Young University, College of Nursing, 424 KMBL, Provo, UT 84602, USA.
Objectives:
This case study explored implementation of a Decision-Based Learning (DBL) tool for teaching arterial blood gas (ABG) analysis to nursing students.
Methods:
For this mixed-methods study, ABG problems in a DBL model were solved by nursing students. Students answered a survey about their experience with DBL. Quantitative survey results are reported with descriptive statistics. Open-ended questions and instructor and student interview data were qualitatively analyzed.
Results:
Students had a positive experience with DBL and gained self-efficacy regarding ABG analysis. The tool was engaging, simple to use, and not overly time-consuming.
Conclusions:
DBL can be a useful tool for teaching ABG analysis to nursing students. Implications for an international audience nursing students everywhere benefit from understanding ABG analysis. DBL is a promising tool that can be used in any location with digital resources.
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