Evidence map›Paper›PMID 42469830›Full record

ArticleBMC nursing2026

Emergency department nurses' self-reported triage decision-making abilities and associated factors: a cross-sectional study in three tertiary hospitals in Sichuan, China.

Yingying Zhao, Juan Hu, Jing Zhao, Lan Wang, Qiu Jin, Humin Huang

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Article in BMC 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.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingying ZhaoDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.
Juan HuDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China. hujuan5@163.com.
Jing ZhaoDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China. 105363426@qq.com.
Lan WangDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.
Qiu JinDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.
Humin HuangDepartment of Emergency Nursing, West China Second University Hospital, Sichuan University, No. 20, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate emergency department (ED) nurses' self-reported triage decision-making abilities and the associated factors, providing evidence for the development of a standardized triage training system.

methodsConvenience sampling was adopted. An online questionnaire survey was conducted among 549 ED nurses from three tertiary hospitals in Sichuan, China from May 6 to May 17, 2025. The survey covered general information about the hospitals, respondents' demographic characteristics, and the Chinese version of the Triage Decision-Making Inventory (TDMI).

resultsThe ED nurses' mean TDMI score was 182.54 ± 25.30, with mean item scores of 5.15 ± 0.71 for critical thinking, 5.07 ± 0.73 for cognitive behaviors, 4.78 ± 0.71 for triage experience and confidence, and 4.67 ± 0.84 for intuition. Univariate analysis showed that 13 factors-including hospital type, age, nurse level, years of work experience, and receipt of formal triage training-were associated with ED nurses' TDMI scores (all P < 0.05). Multivariate linear regression analysis revealed that specialty hospital (β = -0.132), age (β = -0.150), nurse level (β = 0.157), receipt of formal triage training (β = 0.221), familiarity with adult triage criteria (β = 0.221), and inclusion of case-based discussions in triage training (β = 0.099) were independent factors associated with TDMI scores (all P < 0.05), accounting for 18.3% of the total variation (adjusted R² = 0.183).

conclusionsThe self-reported triage decision-making abilities of ED nurses in the three tertiary hospitals were at an upper-intermediate level, characterized by multidimensional imbalance and significant individual differences. Intuition may be a key area associated with improvement in self-reported triage decision-making abilities. It is recommended that a standardized triage training system be established, the application of triage criteria be strengthened, and case-based discussions be promoted during triage training. These measures are associated with improving triage decision-making among ED nurses.

Indexed as

Clinical decision-makingCross-sectional studyEmergency nursesInfluencing factorsTriage

Identifiers

PMID42469830
PMCPMC13660159

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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.