Evidence map›Paper›PMID 42319202›Full record

ArticleJournal of clinical nursing2026

Core Competencies of Nurses Working in Hospital Infection Prevention and Control: A Scoping Review and Cluster Analysis.

Ge Bai, Andreas Efstathiades, Yanli Wang, Ruifang Liu

Abstract readScoping Review
In one paragraph

Article in Journal of clinical nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ge BaiSchool of Business Administration, European University Cyprus, Nicosia, Cyprus.ORCID https://orcid.org/0009-0000-8221-7331
Andreas EfstathiadesSchool of Business Administration, European University Cyprus, Nicosia, Cyprus.
Yanli WangDepartment of Nursing, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Ruifang LiuDepartment of Nursing, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.

Funding

Natural Science Foundation of Inner Mongolia Autonomous Region 2023QN08045Nursing Research Foundation of Inner Mongolia Autonomous Region Nursing Association of China NMKY202509
6 · The paper itself

Abstract

backgroundInfection prevention and control (IPC) nursing plays a central role in implementing IPC standards and preventing healthcare-associated infections. However, a unified core competency framework for IPC nursing roles has yet to be clearly defined.

aimThis study aimed to identify and synthesise the core competencies required for IPC nurses, including infection control nurses (ICNs) and infection control link nurses (ICLNs). It also examined how these competencies differ according to role responsibilities and explored patterns of association among competency domains.

designA scoping review with cluster analysis.

methodsThis scoping review followed a five-stage methodological framework, including identifying the research questions, identifying relevant sources, selecting sources, charting the data and collating, summarising and reporting the results. Based on this process, we conducted high-frequency term analysis and cluster analysis to identify the core competency structure.

resultsThis review included 18 sources, from which 40 high-frequency terms were extracted and nine core competency domains were identified. Cluster analysis grouped these domains into three clusters: system-supporting and developmental competencies, IPC in clinical practice and microbiology and surveillance. When compared with the World Health Organization framework, these domains showed overall alignment while also revealing additional domains of importance, such as research competence and personal quality. ICNs placed greater emphasis on surveillance, leadership, education and programme management, whereas ICLNs focused more on clinical practice and communication.

conclusionThis study systematically mapped IPC nursing competencies into nine domains and three functional clusters, distinguishing role-specific profiles for ICNs and ICLNs. The findings can inform role-specific competency framework development and more targeted IPC education and workforce preparation. HIGHLIGHTS: This scoping review synthesised competency evidence for ICNs and ICLNs. Three competency clusters were identified: system-supporting and development, IPC clinical practice and microbiology and surveillance. The findings support the development of role-specific competency frameworks, assessment tools and training programmes for infection control nursing roles. IMPLICATIONS FOR PRACTICE: Findings from this study suggest that strengthening analytical, clinical, and system-level IPC competencies may enhance the effectiveness of infection prevention efforts in daily practice. Targeted competency development appears feasible, though further research is needed to design and evaluate integrated interventions. IMPACT: The findings suggest that IPC competencies should be developed with attention to the distinct requirements of analytical, clinical, and system-level work. Healthcare organizations may enhance IPC performance by providing targeted training in surveillance, supporting frontline implementation, and strengthening mechanisms that connect managerial activities with bedside practice. Integrating these strategies may help improve the consistency and impact of infection prevention efforts. REPORTING

methodPRISMA-ScR.

Indexed as

Clinical CompetenceCross InfectionInfection ControlNursing Staff, HospitalCluster AnalysisHumansclinical competenceinfection controlnursing staffprofessional rolescoping review

Identifiers

PMID42319202
PMCPMC13629277

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.