Evidence map›Paper›PMID 42053444›Full record

ArticleJournal of nursing management2026

Competency of Infection Control Nurses and Associated Factors: A Cross-Sectional Study.

Wan Li, Pan Lin, Qiuhong Yang, Haifan Yang, Xin Tan, Xinyu Feng, Hui Luo, Weijuan Li, Yinglan Li, Ying Zhang and 1 more

Abstract read
In one paragraph

Article in Journal of nursing management, 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

11 authors.

Wan LiDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0000-0002-4059-8989
Pan LinDepartment of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, z2hospital.com.ORCID https://orcid.org/0009-0001-6618-6093
Qiuhong YangDepartment of Lymphoma and Hematology, Hunan Cancer Hospital, Changsha, China, hnzlyy.com.
Haifan YangDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.
Xin TanDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.
Xinyu FengSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China, polyu.edu.hk.
Hui LuoDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.
Weijuan LiDepartment of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, z2hospital.com.
Yinglan LiDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0009-4964-445X
Ying ZhangDepartment of Clinical Nursing Teaching and Research, Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0005-2931-3304
Lingyun TianDepartment of Health Management Center, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China, ustc.edu.cn.ORCID https://orcid.org/0000-0002-4849-5677

Funding

National Natural Science Foundation of China 72304261
6 · The paper itself

Abstract

backgroundNosocomial infections (NIs) are a global concern, straining healthcare resources and patient safety. Infection control nurses (ICNs) play a crucial role in NI management. However, comprehensive surveys assessing ICNs' competency are lacking. This study aimed to assess the competency of ICNs in China and identify influencing factors.

methodsA cross-sectional survey was conducted between December 2021 and January 2022 across 14 cities in Hunan Province, China. Using convenience sampling, 1010 ICNs completed an online self-designed questionnaire comprising 69 items. Multiple linear regression analyses were performed to identify factors associated with ICNs' competency.

resultsA total of 946 valid questionnaires were collected. The overall competency score of ICNs was 272 points (P25-P75: 253-300). Among the six primary competency domains, "Personal characteristics and qualities" demonstrated the highest performance, with a median score of 30 (P25-P75: 28-35) and a score rate of 85.71%. "Knowledge of NI prevention and control," "Management and coordination ability," and "Motivation" each showed a score rate of 80.00%, with median scores of 64 (P25-P75: 60-73), 40 (P25-P75: 37-44), and 24 (P25-P75: 22-27), respectively. "Skills in NI prevention and control" had a score rate of 78.89%, with a median score of 71 (P25-P75: 64-78). "Teaching and research ability" ranked lowest, with a score rate of 71.68% and a median score of 43 (P25-P75: 39-48). Several influencing factors were identified, including "years of experience in NI management" (p < 0.001, β = 0.133, and 95% CI = 1.574-4.989), technical title (p < 0.001, β = 0.177, and 95% CI = 3.208-22.460), and average monthly income (p < 0.001, β = 0.196, and 95% CI = 4.557-11.875).

conclusionCompetency of ICNs is at the upper-middle level: The focus of improving the competency of ICNs is to strengthen the training of NI prevention and control skills, including NI detection, risk identification, and information construction, and to improve their teaching and research ability.

Indexed as

Clinical CompetenceCross InfectionInfection ControlNursesAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and Questionnairescompetencyinfection management nursesinfluencing factorsnosocomial infectionstatus

Identifiers

PMID42053444
PMCPMC13127232

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.