Meggiolaro Leonardo, Weiner Gary, Staffler Alex, Lupi Fiorenzo, Canesso Tommaso, Trevisanuto Daniele
Department of Women's and Children's Health, Maternal-Fetal Medicine Unit, University of Padua School of Medicine, Padua, Italy.
Department of Pediatrics, Neonatal-Perinatal Medicine, University of Michigan, Ann Arbor, MI, USA.
J Perinatol. 2025 Jan 17. doi: 10.1038/s41372-025-02210-7.
Training with high-technology manikins improves cardio-pulmonary resuscitation (CPR) skill retention, but a checklist to assess both technical and non-technical skills is lacking. This study aimed to develop a standardized checklist to evaluate healthcare's performance during simulated Neonatal Resuscitation Program (NRP) scenarios.
Twenty-two international neonatal resuscitation experts participated in a two-step modified Delphi process, rating each checklist item on a scale of 1-5 and providing feedback. Items with a mean rating below 4 or receiving comments were reviewed. Inter-rater reliability (IRR) of the final tool was assessed using video-recordings of simulated scenarios.
The final checklist, validated by 15 experts, includes 33 items. Mean expert rating of all items was 4.35. The checklist showed moderate inter-rater reliability (ICC = 0.67) overall, with excellent reliability (ICC = 0.8) for technical skills.
The tool effectively evaluates technical skills but requires further refinement for non-technical skills assessment.
使用高科技人体模型进行培训可提高心肺复苏(CPR)技能的保持率,但缺乏用于评估技术和非技术技能的检查表。本研究旨在制定一份标准化检查表,以评估在模拟新生儿复苏计划(NRP)场景中医护人员的表现。
22名国际新生儿复苏专家参与了两步改良德尔菲法,对每个检查表项目进行1至5分的评分并提供反馈。对平均评分低于4分或收到评论的项目进行审查。使用模拟场景的视频记录评估最终工具的评分者间信度(IRR)。
经15名专家验证的最终检查表包含33个项目。所有项目的专家平均评分为4.35。该检查表总体显示出中等评分者间信度(ICC = 0.67),技术技能方面具有出色的信度(ICC = 0.8)。
该工具能有效评估技术技能,但在非技术技能评估方面需要进一步完善。