Evidence map›Paper›PMID 41291708›Full record

ArticleBMC nursing2025

Nurse triage in primary care: concept analysis.

Han Nah Park, Kyeongmin Lee, Carolyn Wallace

Abstract read
In one paragraph

Article in BMC nursing, 2025. 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

3 authors.

Han Nah ParkNursing, Dongguk University-WISE, 123, Dongdae-ro, Gyeongju-si, 38066, Korea, Republic of (South Korea).
Kyeongmin LeeCollege of Nursing, Seoul National University, Seoul, South Korea.
Carolyn WallaceWales Centre for Primary and Emergency Care Research (PRIME Centre Wales), Cardiff, Wales, UK. carolyn.wallace@southwales.ac.uk.

Funding

National Research Foundation of Korea RS-2024-00407297
6 · The paper itself

Abstract

aimTo examine the concept of nurse triage in primary care and establish an operational definition for its application in practice, research, and policy.

methodsRodgers’ evolutionary method and thematic analysis was used to identify attributes, antecedents, consequences, definitions, and surrogate/related terms. A systematic search was conducted across three electronic databases including PubMed, CINAHL and EMBASE in January 2025. A total of 2,997 articles were retrieved, with 1,283 duplicates removed. After title, abstract, and full-text screening, 11 articles were included in final analysis. Three articles were identified through citation tracking and hand searches.

resultsFive attributes of nurse triage in primary care were identified: patient assessment; use of decision support systems, algorithms, or protocols; decision making; patient categorization; and communication skills. Seven antecedents were identified: rising demand in primary care; accessibility challenges in primary care; government policy considerations and investment plans; infrastructure and system support; initial patient contact; training and Education; and a collaborative and supportive attitude.

conclusionThis is the first study to define and clarify nurse triage in primary care, addressing existing conceptual ambiguities. This analysis enhances the understanding of nurse triage in primary care, helping triage nurses gain clarity on their roles and engage more actively in practice. It can serve as a common reference for research, clinical practice, and policy development. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Concept analysisNursingPrimary careTriage

Identifiers

PMID41291708
PMCPMC12645707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.