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Licensed Unlicensed Requires Authentication Published by De Gruyter July 21, 2023

Decision-based learning for teaching arterial blood gas analysis

  • Sheri Tesseyman ORCID logo EMAIL logo , Tracy Poulsen , Samantha Rainsdon-Meek , Heather Leary , Ursula Sorensen and Kenneth Plummer



This case study explored implementation of a Decision-Based Learning (DBL) tool for teaching arterial blood gas (ABG) analysis to nursing students.


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.


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.


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.

Corresponding author: Sheri Tesseyman, Brigham Young University, College of Nursing, 424 KMBL, Provo, UT 84602, USA, Phone: +1 801 326 9392, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The local Institutional Review Board approved this study.


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Supplementary Material

This article contains supplementary material (

Received: 2023-03-27
Accepted: 2023-06-27
Published Online: 2023-07-21

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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