Evidence map›Paper›PMID 41652376›Full record

ArticleBMC nursing2026

Knowledge, attitudes, practices, and self-efficacy of hemodialysis nurses in vascular access management: a multicenter cross-sectional survey in Anhui.

Jiling Zhao, Junxiu Luo, Li Wang, Mingxuan Peng

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Jiling ZhaoDepartment of Nephrology, The First Affiliated Hospital of Bengbu Medical University, Anhui, China.
Junxiu LuoDepartment of Nephrology, The First Affiliated Hospital of Bengbu Medical University, Anhui, China.
Li WangDepartment of Nursing, The First Affiliated Hospital of Bengbu Medical University, Anhui, China. my0552@126.com.
Mingxuan PengDepartment of Nursing, The Bengbu Medical University, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease has become a major public health concern and poses substantial risks to global health. Hemodialysis is the most common treatment for patients with chronic kidney disease. Vascular access is considered the “lifeline” of hemodialysis. Hemodialysis nurses play a crucial role in vascular access management. However, few studies have examined their knowledge, attitudes, and practices in this area.

objectivesThis study aimed to assess the knowledge, attitudes, practices, and self-efficacy of hemodialysis nurses regarding vascular access management. DESIGN AND

participantsA cross-sectional survey was conducted in 25 hospitals and included 426 hemodialysis nurses in Anhui Province. MEASUREMENTS: Data were collected using the Knowledge, Attitude, Practice, and Self-Efficacy Scale. Results: The total possible knowledge score was 12, and the mean score achieved by participants was 7.97. Only 18.5% of nurses accurately identified the bruit indicative of severe stenosis. Nurses who had received systematic training had significantly higher scores. Self-efficacy was lowest for creating a buttonhole tunnel (64.4%). Attitudes were generally positive; 83.8% of nurses reported that ultrasound-guided puncture is beneficial. Multiple regression analysis showed that both prior training years of hemodialysis experience were significant predictors of knowledge level.

conclusionsThe knowledge level of dialysis nurses in Anhui Province was moderate. Nurses who had received prior training in dialysis vascular access management demonstrated better knowledge. To improve professional competence and patient outcomes, standardized training programs emphasizing advanced assessment skills and practical vascular access training are recommended.

Indexed as

AttitudeHemodialysis nursesKnowledgePracticeVascular access

Identifiers

PMID41652376
PMCPMC12977850

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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.