Evidence map›Paper›PMID 42057998›Full record

ArticleBelitung nursing journal2026

A hierarchical analysis of predictors of perioperative competency in Chinese operating room nurses.

Cong Fu, Kulwadee Abhicharttibutra, Wanchai Lertwatthanawilat, Orn-Anong Wichaikhum

Abstract read
In one paragraph

Article in Belitung nursing journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Cong FuNursing Department, The Affiliated Hospital of Hebei University, China.ORCID https://orcid.org/0000-0002-5961-4096
Kulwadee AbhicharttibutraFaculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-9152-5528
Wanchai LertwatthanawilatFaculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-8382-881X
Orn-Anong WichaikhumFaculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-9492-4233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perioperative competency among operating room (OR) nurses is essential for ensuring patient safety and effective surgical care. Guided by Bronfenbrenner's bioecological model, particularly the Person component, this study examined how key individual characteristics contribute to perioperative competency among nurses working in tertiary hospitals in China. Objective: This study aimed to hierarchically examine the predictive power of key person characteristics (including demographics, specialized resources, and force characteristics) on perioperative competency. Methods: A cross-sectional survey was conducted among 287 OR nurses from five tertiary hospitals in Hebei Province, China. Data were collected between September 1 and November 30, 2024. Using a predictive correlational design, hierarchical multiple regression analysis was performed. Demographics (gender, marital status, educational level, professional job title) were entered in Block 1, followed by core predictors (years of experience, specialized training, empowerment, self-efficacy, and resilience) in Block 2, using the enter method for each block. Key constructs were measured with validated scales: perioperative competency, resilience, individual empowerment, and work self-efficacy. Results: The final regression model was significant, explaining 77.3% of the total variance in perioperative competency ( Conclusion: Both specialized resources and force characteristics significantly contribute to perioperative competency. Strategies that strengthen professional training, clinical experience, and positive psychological attributes may help enhance competency among OR nurses.

Indexed as

Bronfenbrenner’s bioecological modelhierarchical regressionindividual empowermentoperating room nursesperioperative competencyresiliencework self-efficacy

Identifiers

PMID42057998
PMCPMC13122474

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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.