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

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: < 0.001) all demonstrated significant positive effects. 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.

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Publication Details

Journal
Belitung Nursing Journal
Published
2026-04-28
DOI
https://doi.org/10.33546/bnj.4451
Primary Topic
Surgical Simulation and Training
Type
article
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article

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

Orn‐Anong Wichaikhum, Kulwadee Abhicharttibutra, Wanchai Lertwatthanawilat, Cong Fu
Belitung Nursing Journal
Surgical Simulation and Training
article

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

Orn‐Anong Wichaikhum, Kulwadee Abhicharttibutra, Wanchai Lertwatthanawilat, Cong Fu
article en

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: < 0.001) all demonstrated significant positive effects. 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.

Belitung Nursing JournalVol. 12(2)
Affiliated Hospital of Hebei University (CN), Chiang Mai University (TH)
Openalex Percentile: Top 15%
Surgical Simulation and Training
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