Evidence map›Paper›PMID 40275301›Full record

ArticleBMC medical education2025

Nurses' knowledge-attitude-practice of the importance of quality control of nursing documents and the influence of intensive training: a study from a tertiary hospital in China.

Li Zhang, Ren-Hua Chen, Xue-Min Zhong, Meng-Yi Xu, Yi-Ning Sun, Qian Yao

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Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Li ZhangDepartment of Nursing, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Ren-Hua ChenDepartment of Nursing, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Xue-Min ZhongDepartment of Medical Affairs, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Meng-Yi XuDepartment of Nursing, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Yi-Ning SunDepartment of Nursing, Chengdu Second People's Hospital, Chengdu, Sichuan, China.
Qian YaoDepartment of Nursing, Chengdu Second People's Hospital, Chengdu, Sichuan, China. 1074628623@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate nursing staff's current knowledge-attitude-practice(KAP) regarding nursing document quality control and to explore effective methods to enhance their awareness of nursing documents' importance through intensive training.

methodsWe developed the questionnaire based on a systematic literature review and two rounds of Delphi expert consultation. Then, we sent the questionnaire to the nurses before and after the intensive training.Data processing and statistical analysis were conducted using R 4.4.0 software.

resultsAltogether, 722, 701, and 800 nurses participated in the questionnaire survey before the training and after two training rounds, respectively. There was no statistically significant difference between the respondents' baseline data (gender, age, professional title, position, educational background, and working years) before and after the training. After two rounds of intensive quality control training, the nursing staff's median scores in the knowledge, attitude, and practice dimensions increased from 45 points before the training to 49, 50, and 50 points, respectively, and the difference was statistically significant (P < 0.05). Regression analysis indicated that the longer the working years, the higher the scores of the nursing staff after the training (3-5 years, P < 0.01, 95% Confidence Interval (CI), 0.2-0.57), (6-10 years, P < 0.01, 95% CI, 0.35-0.73), (> 10 years, P = 0.003, 95% CI, 0.32-0.72).The nursing staff with the titles of Chief Nurse (P < 0.01, 95% CI, 0.2-0.54) and Deputy Chief Nurse (P < 0.01, 95% CI, 0.21-0.74) scored higher after the training.

conclusionThis study shows that, after two rounds of training, nurses' KAP of the quality control of nursing documents significantly improved. The training had a positive impact on their KAP, which is conducive to enhancing the quality of nursing documents and nursing care. Therefore, hospitals should emphasize the quality control of nursing documents and take effective measures to help nurses continuously improve the quality of nursing documents.

Indexed as

DocumentationHealth Knowledge, Attitudes, PracticeNursing Staff, HospitalQuality ControlAdultAttitude of Health PersonnelChinaClinical CompetenceDelphi TechniqueFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTertiary Care CentersAttitudeIntensive trainingKAPKnowledgeNursing medical documentsPracticeQuality control

Identifiers

PMID40275301
PMCPMC12020008

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.