The effects of competency-based training model in the training of new nurses: A meta-analysis and systematic review

Suqing Chen, Chenxia Zhang and Wanling Li

PLOS ONE, 2022, vol. 17, issue 11, 1-14

Abstract: Background: It is necessary to evaluate the effects of competency-based training (CBT) model in the clinical training of new nurses, to provide insights to the management of nurses. Methods: We searched PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database, Wanfang and Weipu Databases for the randomized controlled trials (RCTs) on the application effect of CBT in new nurse training up to December 15, 2021. Two investigators independently screened the literature, extracted the data and evaluated the quality of the literatures. RevMan 5.3 software was used for meta-analysis. Results: A total of 7 RCTs involving 639 new nurses were included. Meta-analyses indicated that CBT improved the ability of clinical nursing care [SMD = 1.52, 95%CI (0.13~2.90), P = 0.03], critical thinking and innovation[SMD = 0.69, 95%CI (0.43~0.95), P 0.05). Conclusions: CBT is beneficial for improving the competency of newly recruited nurses. More RCTs from different population and regions are needed to further elucidate the role of CBT in nurse management.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0277484

DOI: 10.1371/journal.pone.0277484

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