Validation of a Simulation-Based Resuscitation Curriculum for Maternal Cardiac Arrest
Copyright © 2023 Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government..
OBJECTIVE: To assess the knowledge, skills, and self-efficacy of health care participants completing a simulation-based blended learning training curriculum on managing maternal medical emergencies and maternal cardiac arrest (Obstetric Life Support).
METHODS: A formative assessment of the Obstetric Life Support curriculum was performed with a prehospital cohort comprising emergency medical services professionals and a hospital-based cohort comprising health care professionals who work primarily in hospital or urgent care settings and respond to maternal medical emergencies. The training consisted of self-guided precourse work and an instructor-led simulation course using a customized low-fidelity simulator. Baseline and postcourse assessments included multiple-choice cognitive test, self-efficacy questionnaire, and graded Megacode assessment of the team leader. Megacode scores and pass rates were analyzed descriptively. Pre- and post-self-confidence assessments were compared with an exact binomial test, and cognitive scores were compared with generalized linear mixed models.
RESULTS: The training was offered to 88 participants between December 2019 and November 2021. Eighty-five participants consented to participation; 77 participants completed the training over eight sessions. At baseline, fewer than half of participants were able to achieve a passing score on the cognitive assessment as determined by the expert panel. After the course, mean cognitive assessment scores improved by 13 points, from 69.4% at baseline to 82.4% after the course (95% CI 10.9-15.1, P <.001). Megacode scores averaged 90.7±6.4%. The Megacode pass rate was 96.1%. There were significant improvements in participant self-efficacy, and the majority of participants (92.6%) agreed or strongly agreed that the course met its educational objectives.
CONCLUSION: After completing a simulation-based blended learning program focused on managing maternal cardiac arrest using a customized low-fidelity simulator, most participants achieved a defensible passing Megacode score and significantly improved their knowledge, skills, and self-efficacy.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:142 |
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| Enthalten in: |
Obstetrics and gynecology - 142(2023), 5 vom: 01. Nov., Seite 1189-1198 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shields, Andrea D [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 23.10.2023 Date Revised 06.12.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1097/AOG.0000000000005349 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM362057508 |
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| 245 | 1 | 0 | |a Validation of a Simulation-Based Resuscitation Curriculum for Maternal Cardiac Arrest |
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| 500 | |a Date Completed 23.10.2023 | ||
| 500 | |a Date Revised 06.12.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government. | ||
| 520 | |a OBJECTIVE: To assess the knowledge, skills, and self-efficacy of health care participants completing a simulation-based blended learning training curriculum on managing maternal medical emergencies and maternal cardiac arrest (Obstetric Life Support) | ||
| 520 | |a METHODS: A formative assessment of the Obstetric Life Support curriculum was performed with a prehospital cohort comprising emergency medical services professionals and a hospital-based cohort comprising health care professionals who work primarily in hospital or urgent care settings and respond to maternal medical emergencies. The training consisted of self-guided precourse work and an instructor-led simulation course using a customized low-fidelity simulator. Baseline and postcourse assessments included multiple-choice cognitive test, self-efficacy questionnaire, and graded Megacode assessment of the team leader. Megacode scores and pass rates were analyzed descriptively. Pre- and post-self-confidence assessments were compared with an exact binomial test, and cognitive scores were compared with generalized linear mixed models | ||
| 520 | |a RESULTS: The training was offered to 88 participants between December 2019 and November 2021. Eighty-five participants consented to participation; 77 participants completed the training over eight sessions. At baseline, fewer than half of participants were able to achieve a passing score on the cognitive assessment as determined by the expert panel. After the course, mean cognitive assessment scores improved by 13 points, from 69.4% at baseline to 82.4% after the course (95% CI 10.9-15.1, P <.001). Megacode scores averaged 90.7±6.4%. The Megacode pass rate was 96.1%. There were significant improvements in participant self-efficacy, and the majority of participants (92.6%) agreed or strongly agreed that the course met its educational objectives | ||
| 520 | |a CONCLUSION: After completing a simulation-based blended learning program focused on managing maternal cardiac arrest using a customized low-fidelity simulator, most participants achieved a defensible passing Megacode score and significantly improved their knowledge, skills, and self-efficacy | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 700 | 1 | |a Vidosh, Jacqueline |e verfasserin |4 aut | |
| 700 | 1 | |a Thomson, Brook A |e verfasserin |4 aut | |
| 700 | 1 | |a Minard, Charles |e verfasserin |4 aut | |
| 700 | 1 | |a Annis-Brayne, Kristen |e verfasserin |4 aut | |
| 700 | 1 | |a Kavanagh, Laurie |e verfasserin |4 aut | |
| 700 | 1 | |a Roth, Cheryl K |e verfasserin |4 aut | |
| 700 | 1 | |a Lutgendorf, Monica A |e verfasserin |4 aut | |
| 700 | 1 | |a Rahm, Stephen J |e verfasserin |4 aut | |
| 700 | 1 | |a Becker, Les R |e verfasserin |4 aut | |
| 700 | 1 | |a Mosesso, Vincent N |e verfasserin |4 aut | |
| 700 | 1 | |a Schaeffer, Brian |e verfasserin |4 aut | |
| 700 | 1 | |a Gresens, Andrea |e verfasserin |4 aut | |
| 700 | 1 | |a Epley, Sondie |e verfasserin |4 aut | |
| 700 | 1 | |a Wagner, Richard |e verfasserin |4 aut | |
| 700 | 1 | |a Streitz, Matthew J |e verfasserin |4 aut | |
| 700 | 1 | |a Bhalala, Utpal S |e verfasserin |4 aut | |
| 700 | 1 | |a Melvin, Lissa M |e verfasserin |4 aut | |
| 700 | 1 | |a Deering, Shad |e verfasserin |4 aut | |
| 700 | 1 | |a Nielsen, Peter E |e verfasserin |4 aut | |
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