Evidence map›Paper›PMID 42094910›Full record

ArticleRisk management and healthcare policy2026

Development and Application of a Unplanned Extubation Assessment and Clinical Decision Support Information System.

Huayu Chen, Xiaowen Yang, Jifang Peng, Xianrong Xu, Yaping Li, Zirong Tong, Chunhong Gao

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Huayu ChenDepartment of Neurosurgery, First Affiliated Hospital with Nanjing Medical University Junior Nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Xiaowen YangDepartment of Neurosurgical ICU, First Affiliated Hospital with Nanjing Medical University Junior nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Jifang PengDepartment of Chest Surgery, First Affiliated Hospital with Nanjing Medical University Junior Nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Xianrong XuDepartment of Nephrology, First Affiliated Hospital with Nanjing Medical University Junior Nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Yaping LiDepartment of Neurosurgery, First Affiliated Hospital with Nanjing Medical University Junior Nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Zirong TongDepartment of Nursing, First Affiliated Hospital with Nanjing Medical University Junior nurse, Nanjing, Jiangsu, 210029, People's Republic of China.
Chunhong GaoDepartment of Nursing, First Affiliated Hospital with Nanjing Medical University Junior nurse, Nanjing, Jiangsu, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unplanned extubation (UE) poses significant risks to intensive care unit (ICU) patients, including respiratory complications and increased mortality. Existing preventive measures are limited by delayed detection and inconsistent nursing practices. This study aimed to develop and evaluate an Unplanned Extubation Assessment and Clinical Decision Support Information System (UE-CDSS) to reduce UE incidence and enhance catheter management. Methods: The UE-CDSS was developed using a C#-based client-server architecture and SQL Server database, integrating 12 core risk indicators, including limb muscle strength, delirium status, and catheter type. The indicators were selected through two rounds of Delphi expert consultation. The system comprises five modules: catheter maintenance, risk assessment and restraint decision, critical patient restraint support, virtual catheter ward, and analysis and feedback. A pre-post study design was applied to compare UE incidence, catheter management metrics, and nurse satisfaction in a tertiary hospital ICU before (2021, n=1,059) and after (2022-2023, n=4,115) system implementation. Results: UE incidence significantly declined for all catheter classes: Class I from 1.08% to 0.38%, Class II from 1.36% to 0.27%, and Class III from 0.44% to 0%. Catheter fixation rates improved from 97.21% to 99.50%, secondary fixation from 95.13% to 97.80%, and standardized restraint from 96.61% to 98.83% (all P<0.001). Nurse satisfaction scored 92.15±6.82/115, reflecting high usability. Conclusion: The UE-CDSS effectively reduces UE incidence and enhances catheter care standardization, demonstrating clinical utility and nurse acceptance. The system's closed-loop management framework provides practical guidance for nurses and a scalable approach for improving patient safety in ICUs.

Indexed as

catheter managementclinical decision support systemintensive care unitnurse satisfactionunplanned extubation

Identifiers

PMID42094910
PMCPMC13142709

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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.