Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea
Purpose: This study was done to develop and evaluate an algorithm-based simulation scenario for emergency measures for high-risk newborns presenting with apnea. Methods: A one shot case study design was used to evaluate the algorithm-based simulation scenario. Effects of the developed simulation sce...
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| Format: | Article |
| Language: | English |
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Korean Academy of Child Health Nursing
2015-04-01
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| Series: | Child Health Nursing Research |
| Subjects: | |
| Online Access: | http://www.e-chnr.org/upload/pdf/CHNR-21-2-98.pdf |
| _version_ | 1818458421728378880 |
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| author | Hyunsook Shin Yu-nah Lee Da Hae Rim |
| author_facet | Hyunsook Shin Yu-nah Lee Da Hae Rim |
| author_sort | Hyunsook Shin |
| collection | DOAJ |
| description | Purpose: This study was done to develop and evaluate an algorithm-based simulation scenario for emergency measures for high-risk newborns presenting with apnea. Methods: A one shot case study design was used to evaluate the algorithm-based simulation scenario. Effects of the developed simulation scenario were evaluated using the Simulation Effectiveness Tool (SET) and the Lasater Clinical Judgement Rubric (LCJR). From March to November 137 senior nursing students completed the simulation using this scenario. Results: The eight-frame simulation scenario was developed based on the Neonatal Resuscitation Program (NRP) and the nursing clinical judgment process. After use of the scenario, overall scores for SET and LCJR were 21.0 out of 26.0 and 32.4 out of 44.0 respectively. There were no significant differences in scores according to general characteristics. Positive correlation coefficients were identified among overall and subcategories of SET and LCJR. In addition, students provided positive feedback on the simulation experience. Conclusion: Considering that nursing students have limited access to high-risk newborns during their clinical experience and that newborns presenting apnea are common in the neonatal intensive care unit, the simulation scenario developed in this study is expected to provide nursing students with more opportunities to practice emergency measures for high-risk newborns. |
| first_indexed | 2024-12-14T22:58:12Z |
| format | Article |
| id | doaj.art-2e30c7f87af14bb6861ac10d79b35363 |
| institution | Directory Open Access Journal |
| issn | 2287-9110 2287-9129 |
| language | English |
| last_indexed | 2024-12-14T22:58:12Z |
| publishDate | 2015-04-01 |
| publisher | Korean Academy of Child Health Nursing |
| record_format | Article |
| series | Child Health Nursing Research |
| spelling | doaj.art-2e30c7f87af14bb6861ac10d79b353632022-12-21T22:44:32ZengKorean Academy of Child Health NursingChild Health Nursing Research2287-91102287-91292015-04-012129810610.4094/chnr.2015.21.2.981429Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with ApneaHyunsook Shin0Yu-nah Lee1Da Hae Rim2College of Nursing Science, Kyung Hee University, Seoul, KoreaCollege of Nursing Science, Kyung Hee University, Seoul, KoreaCollege of Nursing Science, Kyung Hee University, Seoul, KoreaPurpose: This study was done to develop and evaluate an algorithm-based simulation scenario for emergency measures for high-risk newborns presenting with apnea. Methods: A one shot case study design was used to evaluate the algorithm-based simulation scenario. Effects of the developed simulation scenario were evaluated using the Simulation Effectiveness Tool (SET) and the Lasater Clinical Judgement Rubric (LCJR). From March to November 137 senior nursing students completed the simulation using this scenario. Results: The eight-frame simulation scenario was developed based on the Neonatal Resuscitation Program (NRP) and the nursing clinical judgment process. After use of the scenario, overall scores for SET and LCJR were 21.0 out of 26.0 and 32.4 out of 44.0 respectively. There were no significant differences in scores according to general characteristics. Positive correlation coefficients were identified among overall and subcategories of SET and LCJR. In addition, students provided positive feedback on the simulation experience. Conclusion: Considering that nursing students have limited access to high-risk newborns during their clinical experience and that newborns presenting apnea are common in the neonatal intensive care unit, the simulation scenario developed in this study is expected to provide nursing students with more opportunities to practice emergency measures for high-risk newborns.http://www.e-chnr.org/upload/pdf/CHNR-21-2-98.pdfNursing simulationNursing educationNeonatal resuscitationPediatric nursing |
| spellingShingle | Hyunsook Shin Yu-nah Lee Da Hae Rim Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea Child Health Nursing Research Nursing simulation Nursing education Neonatal resuscitation Pediatric nursing |
| title | Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea |
| title_full | Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea |
| title_fullStr | Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea |
| title_full_unstemmed | Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea |
| title_short | Evaluation of Algorithm-Based Simulation Scenario for Emergency Measures with High-Risk Newborns Presenting with Apnea |
| title_sort | evaluation of algorithm based simulation scenario for emergency measures with high risk newborns presenting with apnea |
| topic | Nursing simulation Nursing education Neonatal resuscitation Pediatric nursing |
| url | http://www.e-chnr.org/upload/pdf/CHNR-21-2-98.pdf |
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