Evidence map›Paper›PMID 36441740›Full record

SynthesisPloS one2022

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

Suqing Chen, Chenxia Zhang, Wanling Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Suqing ChenShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0001-7943-516X
Chenxia ZhangShanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Wanling LiTongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt 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.

methodsWe 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.

resultsA 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<0.001], interpersonal communication[SMD = 0.74, 95%CI (0.51~0.97), P<0.001], professional construction and development[SMD = 1.92, 95%CI (1.41~2.42), P<0.001], level of comprehensive knowledge[SMD = 1.20, 95%CI (0.63~1.76), P<0.001] and level of good personal traits[SMD = 1.89, 95%CI (1.27~2.50), P<0.001].The results of Egger regression tests indicated that there were no statistical biases amongst the synthesized outcomes (all P>0.05).

conclusionsCBT 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.

Indexed as

KnowledgeThinkingChinaCommunicationDatabases, FactualHumans

Identifiers

PMID36441740
PMCPMC9704662

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.