Evidence map›Paper›PMID 35607648›Full record

ArticleComputational and mathematical methods in medicine2022

Multifactor Logistic Analysis to Explore the Risk Factors of Safety Risks in the Transport of Critically Ill Patients with ICU and the Improvement of Nursing Strategies.

Zhenyu Zhang, Hui Qu, Wei Gong

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Zhenyu ZhangDepartment of Intensive Care Unit (Eastern), Yantai Yuhuangding Hospital, Yantai 264000, Shandong Province, China.
Hui QuDepartment of Intensive Care Unit (Western), Yantai Yuhuangding Hospital, Yantai 264000, Shandong Province, China.
Wei GongDepartment of Cardiac Intensive Care Unit, Yantai Yuhuangding Hospital, Yantai 264000, Shandong Province, China.ORCID https://orcid.org/0000-0003-0511-8529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Multivariate logistic analysis was employed to explore the risk factors of safety risks in the transport of critically ill patients with ICU and the improvement of nursing strategies. Methods: Two hundred critical transport patients with ICU treated in our hospital from January 2019 to April 2021 were enrolled. According to the occurrence of unsafe events in transit, the patients were assigned to the control group (165 cases without unsafe events, Results: (1) General data of the subjects: among the 200 critically ill patients with ICU who needed in-hospital transport, the age ranged from 18 to 85 years with an average age of 52.48 ± 3.31, including 89 males and 111 females. There were 35 cases of gastrointestinal bleeding, 16 cases of respiratory failure, 23 cases of heart failure, 43 cases of myocardial infarction, 26 cases of cerebrovascular accident, 14 cases of ectopic pregnancy, 25 cases of severe injury, and 18 cases of mechanical ventilation. There were 35 cases in the study group with accidents and 45 cases in group B without accidents. (2) Among the 200 patients, 35 patients had complications during the transit process in the intermediate people's court, with an incidence rate of 17.5%. It included blood pressure fluctuation ( Conclusion: Age, patient's condition, transport escort, auxiliary ventilation, means of transport, uncarried drugs and goods, and carrying pipeline are the independent risk factors that affect the safe transport of emergency or ICU critically ill patients. Therefore, in order to reduce the risk of transshipment, we must enhance the safety awareness of escorts, strengthen the management and training of escorts, promote rules and regulations, and formulate dangerous plans, so as to eliminate the occurrence of unsafe factors.

Indexed as

Critical IllnessIntensive Care UnitsAdolescentAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedPregnancyRespiration, ArtificialRisk FactorsYoung Adult

Identifiers

PMID35607648
PMCPMC9124074

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