Evidence map›Paper›PMID 42458437›Full record

ArticleBMC nursing2026

Core clinical competency indicators for master of nursing specialist (anaesthesia) students in China: a delphi study.

Xueyan Xing, Conghui Jiang, Tingting Yang, Jiamin Kang, Jiale Hu, Zhifeng Gao, Shumin Tu

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Article in BMC nursing, 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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7 authors.

Xueyan XingDepartment of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine,Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
Conghui JiangDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China.
Tingting YangDepartment of Anesthesiology Department, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Jiamin KangSchool of Nursing, Xuzhou Medical University, Xuzhou, 221004, China.
Jiale HuVirginia Commonwealth University, Richmond, VA, 23298, USA.
Zhifeng Gao *Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine,Tsinghua Medicine, Tsinghua University, Beijing, 102218, China. 1042465937@qq.com.
Shumin Tu *Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China. 18759264890@163.com.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompetency training is essential for cultivating qualified anaesthesia Master of Nursing Specialist (MNS) graduates. Although a previous study has established relevant competency dimensions for anaesthesia nursing, no refined framework with operationalized indicators is currently available for Chinese MNS anaesthesia students.

objectiveTo construct an index system for the core clinical competencies of MNS anaesthesia students.

methodsFollowing literature screening, 26 eligible publications were selected to draft preliminary indicators. Semi-structured interviews with 15 participants were performed, and interview data were analysed via thematic coding.21 experts from 11 regions across China completed two rounds of Delphi surveys. Indicators were rated on a 5-point Likert scale, with expert consensus determined by predefined statistical cut-offs (mean importance score ≥ 3.5, coefficient of variation (CV) ≤ 0.25, ≥ 75% ratings ≥ 4) combined with comprehensive expert revision opinions.

resultsThe response rates of the two Delphi rounds were 100% and 95.24%, respectively. The expert authority coefficients (Cr) were 0.95 and 0.96, indicating high reliability of the consultation results. In the second round, Kendall's concordance coefficients (W) for the first, second, and third-level indicators were 0.552 (strong consensus), 0.324 (moderate consensus), and 0.254 (weak-moderate consensus) respectively (P < 0.01), which indicated that the consistency of expert opinions was statistically significant and the consultation results were valid. The range of coefficient of variation was from 0.05 to 0.25. The final indicator system included 8 first-level indicators, 39 s-level indicators, and 109 third-level indicators.

conclusionCore clinical competency indicators for MNS anaesthesia students, established in this study, achieved expert consensus validity. These competency indicators can serve as a theoretical reference for the future training and assessment of MNS postgraduates in this field.

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Anaesthesia nursingClinical practiceCompetenceCompetencyEducationMasterProfessional degree

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