基于洋葱模型的达芬奇机器人专科护士岗位胜任力评价指标体系的构建

Construction of post competency evaluation index system for Da Vinci robot specialist nurses based on onion model

目的构建达芬奇机器人专科护士岗位胜任力评价指标体系,为我国达芬奇机器人专科护士的培养和评价提供借鉴。方法于2022年8—9月以洋葱模型为理论框架,采用国内外文献回顾、半结构式访谈、小组讨论法拟定指标体系初稿。应用德尔菲法对22名相关领域的护理专家进行2轮专家函询,对条目进行筛选与修改,运用层次分析法计算权重,形成最终的基于洋葱模型的达芬奇机器人专科护士岗位胜任力指标体系。结果共进行2轮专家函询,专家积极系数分别为第1轮90.91%(20/22),第2轮100.00%(20/20),专家权威系数分别为0.840、0.873,肯德尔协调系数分别为0.181、0.324(P<0.01)。最终形成的达芬奇机器人专科护士岗位胜任力指标体系包含4个一级指标、14个二级指标、58个三级指标。结论本研究基于洋葱模型构建的达芬奇机器人专科护士岗位胜任力评价指标体系较为完善,专家积极性及权威程度高,可为我国达芬奇机器人专科护士岗位培训及评价提供参考。

Objective To construct the post competency evaluation index system for Da Vinci robot specialist nurses based on onion model,so as to provide references for the training and evaluation of Da Vinci robot specialist nurses in China.Methods From August to September 2022,using the"onion model"as the theoretical framework,a preliminary draft of the index system was developed using domestic and foreign literature review,semi-structured interviews and group discussions.The Delphi method was applied to 22 nursing experts in the relevant fields to conduct two rounds of expert correspondence,screen and modify the items,and calculate the weight using the analytic hierarchy process.Finally,the post competency index system for Da Vinci robot specialist nurses based on the onion model was formed.Results Two rounds of expert correspondence were conducted.The positive coefficient of experts was 90.91%(20/22)in the first round and 100.00%(20/20)in the second round,the coefficient of expert authority was 0.840 and 0.873,and the Kendall's coordination coefficient was 0.181 and 0.324(P<0.01),respectively.The final post competency evaluation index system for Da Vinci robot specialist nurses consisted of 4 first-level indicators,14 second-level indicators and 58 third-level indicators.Conclusions This study constructs a comprehensive post competency evaluation index system for Da Vinci robot specialist nurses based on onion model,with high expert enthusiasm and authority.It can provide references for the training and evaluation of Da Vinci robot specialist nurses in China.