Evidence map›Paper›PMID 37545774›Full record

ArticleInternational journal of nursing sciences2023

Establishment and implementation of a nurse-led interdisciplinary management strategy for central line maintenance: A single-center experience.

Yuxin Yin, Changhua Tang, Lijie Zhang, Di Wu, Qing Sun

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2023. 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. Article
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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

5 authors.

Yuxin YinVascular Access Specialist Team (Urology), No.971 Hospital of the PLA Navy, Qingdao, China.
Changhua TangDepartment of Rehab-Physiotherapy, No.971 Hospital of the PLA Navy, Qingdao, China.
Lijie ZhangClinic for 7th PLA Cadres' Sanitariums, Beijing, China.
Di WuCenter for Clinical Nautical Sciences of the PLA, Qingdao, China.
Qing SunCenter for Clinical Nautical Sciences of the PLA, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to establish and implement an interdisciplinary management strategy led by senior nurses via a vascular access specialist team (VAST) at a teaching hospital. Methods: In 2021, the hospital established and implemented a nurse-led VAST management strategy to improve the quality of clinical central line maintenance. The VAST comprised senior nurses specialized in intravenous therapy, ultrasound/radiology technologists, medical doctors with central venous catheterization certificates, central line maintenance nurses, and administrative coordinators. The management strategy mainly included systemic on-the-job training for VAST members, the establishment of an interdisciplinary central line emergency "green channel," the formation of a VAST-based, nurse-led standardized clinical rounding system, and the standardization of central line self-care instructions for patients. During the pre- (July 2020 to April 2021) and post- (May 2021 to May 2022) of the implementation the interdisciplinary management strategy, overall patients' self-care ability, the success rate of catheterization at first time, central line management compliance rate, and patients' satisfaction with catheter maintenance were investigated and compared. Results: The results showed the score self-care ability was increased from 74.75 Conclusions: The nurse-led VAST interdisciplinary strategy can effectively improve the quality of clinical central line management and should be used to reinforce clinical catheterization and maintenance of central lines.

Indexed as

Central venous catheterizationNurse cliniciansNursing administration researchPatient care team

Identifiers

PMID37545774
PMCPMC10401346

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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.