Research on the construction of clinical training system for nursing postgraduates of masters degree in the specialist of lung transplantation.

DOI: 10.12201/bmr.202406.00027

•  

  Abstract: Purpose: To establish a clinical training system for nursing postgraduates of masters degree in the specialist of lung transplantation and provide a reference basis for postgraduate education in professional degrees. Methods: Based on literature analysis, the first draft of the expert letter inquiry questionnaire was determined, and 16 experts were interviewed through the Delphi method. Results: A total of 2 rounds of expert correspondence were conducted in this study. The effective response rates of the questionnaires were 94.1% and 100% respectively. The authority coefficient of experts was 0.84, and the Kendall coefficient was 0.101 and 0.123. The final clinical training system for nursing postgraduates of masters degree in the specialist of lung transplantation was formed. The training system includes 3 first-level indicators, 11 second-level indicators and 66 third-level indicators. The variation coefficients of each indicator are all <0.25. The weights of the three first-level indicators of training objectives, training process, training requirements and assessment are in order of 0.338, 0.333 and 0.329. Conclusion: The clinical training system for nursing postgraduates of masters degree in the specialist of lung transplantation constructed in this study has certain scientificity and reliability, which can provide a reference for the development of postgraduate training for nursing postgraduates of masters degree in the specialist of lung transplantation.

  Key words: lung transplantation; nursing; masters degree; clinical training; indicator system; Delphi method

  Submit time: 18 June 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• WU Peilin, CHEN Wenjing, ZHANG Siqi, XU Pengyu, MIAO Yanqing, WANG Lidan. Construction of Evaluation Index System of Outpatient Medication Security Mechanism for Hypertension and Diabetes based on Delphi Mmethod. 2022. doi: 10.12201/bmr.202211.00016

  LAN Xiaomeng, PAN Jie, ZHAO Li. Construction of evaluation index system for Healthy Demonstration Counties: Based on Delphi and Analytic Hierarchy Process. 2024. doi: 10.12201/bmr.202407.00016

  tengjiali, songguihang, liqian, laoyingqian, hanyouli. Study on the construction and application of evaluation index system of medical insurance service quality based on DIP with Delphi method and AHP. 2023. doi: 10.12201/bmr.202303.00030

  liuyan. Construction and Application of Knowledge Base of Intelligent Clinical Nursing Quality Inspection System. 2021. doi: 10.12201/bmr.202012.00011

  wangxinyuan, xujiamiao, liujian, yuxinyi, huangxiaoguang. Research on construction of evaluation index system of regional medical center based on analytic hierarchy process. 2023. doi: 10.12201/bmr.202303.00011

  YAO Liwei, ZHANG Xiaoxia, LU Yafei. Study on the clinical effect of moxibustion nursing safety policy based on Delph method in sub-health population. 2024. doi: 10.12201/bmr.202411.00026

  LUWEN, 史. Investigation and analysis of clinical nurses use of intelligent nursing information system. 2021. doi: 10.12201/bmr.202101.00011

  Li Ping, Sun Liping, Ren He, Li Huaping, Shao Zeguo. Construction of artificial intelligence thinking training course system for medical device specialty. 2020. doi: 10.12201/bmr.202007.00013

  WANG Xian-ju, SI Jian-ping, GUO Qing. Research on the Construction of Performance Evaluation Index System for the Integrated Home Community Medical and Nursing Care with Characteristics of Traditional Chinese Medicine. 2023. doi: 10.12201/bmr.202312.00004

  sunyulin. Research on the construction of medical informatization talent training system in Colleges and Universities under the background of the 14th five year plan Chenglong,LIU Wei,SHEN Chao fei Sun? Yulin. 2021. doi: 10.12201/bmr.202111.00006

• ID	Submit time	Number	Download
  1	2024-06-12	bmr.202406.00027V1	Download

• Public  Anonymous  To author only Submit Comments