Evidence map›Paper›PMID 40696341›Full record

ArticleBMC nursing2025

Influencing factors of self-reported near-miss in clinical nursing information system tasks among nurses: a multicenter cross-sectional study.

Xingyao Du, Haoning Shi, Ying Peng, Siqi Jiang, Jingyan Song, Chunni Wang, Lin Li, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
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

10 authors.

Xingyao DuDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Haoning ShiDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying PengDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Siqi JiangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jingyan SongDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chunni WangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lin LiDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mingzhao XiaoCenter of Nursing Research, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinghua Zhao *Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. qh20063@163.com.
Huanhuan Huang *Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. hxuehao@126.com.ORCID http://orcid.org/0000-0003-0845-7526

Funding

Research on the Training System for Interdisciplinary Innovative Talents in Nursing and the Joint Cultivation Mechanism of the'Chengdu-Chongqing Economic Circle' under the Interdisciplinary Integration Background CYYY-YJSJGXM-202402
6 · The paper itself

Abstract

backgroundClinical nursing information systems have certain safety vulnerabilities in the complex interactions of the healthcare environment. Near-misses refer to patient safety incidents that have the potential to cause harm but do not result in adverse outcomes, serving as frontline sentinels for identifying risks. The aim of this study was to assess the current status of near misses in clinical nursing information system tasks and the factors that influence them, to provide insights for improving patient safety and enhancing care management.

methodsThe study was based on the Human-Machine-Environment (HME) systems engineering framework and utilized three validated tools: the Nurse Informatics Competency Assessment Scale (NICAS), the Clinical Nursing Information System Effectiveness Evaluation Scale (CNISEES), and the Workplace Interruption Measurement Scale (WIMS). Using a multicenter cross-sectional design, we recruited 1,311 clinical nurses from 12 tertiary hospitals in Chongqing, China. Descriptive statistics, chi-square tests, one-way analysis of variance, Pearson correlation analysis, and binary logistic regression were employed to identify the influencing factors of near-miss events in nursing information system tasks.

resultsThe study found that 52.78% (692/1,311) of clinical nurses had experienced near-miss events of nursing information system tasks in the past three months. Among them, information transmission is the most vulnerable process (931 occurrences). The total score of nursing practice information competency was (57.78 ± 16.72), the total score of the clinical nursing information system effectiveness was (86.65 ± 18.99), and the total score of the workplace interruption was (21.45 ± 8.56). Logistic regression analysis revealed that nurses' professional titles, information management competency, work intensity, clinical teaching, system net benefits, and workplace interruptions were influencing factors for the occurrence of near-miss events in nursing information systems.

conclusionNear-misses in nursing information system tasks within healthcare information systems are prevalent and influenced by the personal circumstances of nurses, the effectiveness of the information system, and workplace interruptions. These findings underscore the importance of studying near-miss events in nursing information system tasks as sentinels for patient safety. Targeted interventions, including enhanced training in informatics, optimization of clinical information systems, and strategies to reduce workplace disruptions, are essential to prevent potential adverse events and improve patient safety. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical nursing information systemHuman-Machine-EnvironmentInformatics competencyNear-missPatient safetySystem effectivenessWorkplace interruption

Identifiers

PMID40696341
PMCPMC12281732

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LicenceCC BY-NC-ND
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Registered trials

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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.