Published online Oct 26, 2023. doi: 10.12998/wjcc.v11.i30.7363
Peer-review started: August 3, 2023
First decision: August 16, 2023
Revised: August 30, 2023
Accepted: September 28, 2023
Article in press: September 28, 2023
Published online: October 26, 2023
Processing time: 82 Days and 23.7 Hours
As one of the most important members in clinical trials, the number of clinical research nurses (CRN) can't keep up with the growth of experimental projects, so it is urgent to build clinical research training and strengthen the background knowledge of nurses.
To construct CRN training program based on position competence, accelerate the construction of CRN talent pool, and provide scientific guidance significance for CRN training.
Based on the position competence model, combined with literature research and qualitative interview results, the first draft was prepared of the CRN training program. Two rounds of correspondence with 16 experts were conducted using the Delphi method to determine the training program.
The effective recovery rate of the expert correspondence questionnaire was 100% and the authority coefficients of the 2 rounds of experts were 0.826 and 0.895. Finally, 4 first-level indicators and determine 15 s-level indicators of training objectives. The training program included 4 first-level indicators, training requirements, content, methods, assessment and evaluation, 15 s-level indicators, and 74 third-level indicators.
The CRN training program based on position competence is scientific and extendable, providing a basis for participation in CRN training.
Core Tip: With the development of clinical trials, there is a big gap in the number of clinical research nurses. Therefore, this study aims to build a nurse training program that meets the needs of clinical trials. Based on the results of literature research and interviews, this study compiled a training plan with the post competency model, and finally determined the training plan through two rounds of expert communication review. Multi-dimensional statistical results show that the training program is scientific.
