Evidence map›Paper›PMID 40597033›Full record

ArticleBMC nursing2025

Development of indicator system for early warning of clinical nursing critical values in general wards: a Delphi study.

Weixin Xiong, Fenglan Xie, Qin Li, Ying Chen, Hongmei Yang, Jieli Wu, Jianying Li, Zhihao Chen, Xiaoqin Hu, Lijing Hu

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Weixin Xiong *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Fenglan Xie *Department of Nursing, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Qin LiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Ying ChenDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Hongmei YangPediatric Intensive Care Unit, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Jieli WuDepartment of Otolaryngology, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China.
Jianying LiDepartment of Internal Medicine, The First Affiliated Hospital of Sun Yat- Sen University, GuangZhou, 510080, China.
Zhihao ChenDepartment of Obstetrics, The First Affiliated Hospital of Sun Yat-Sen University, GuangZhou, 510080, China.
Xiaoqin HuDepartment of Internal Medicine, The First Affiliated Hospital of Sun Yat- Sen University, GuangZhou, 510080, China.
Lijing HuDepartment of Nursing, The First Affiliated Hospital of Sun Yat-sen University, GuangZhou, 510080, China. hulijing@mail.sysu.edu.cn.

Funding

Clinical Nursing Research Project of Guangdong Nursing Association GDKY202204
6 · The paper itself

Abstract

aimThis study aimed to develop an indicator system for early warning of clinical nursing critical values for implementation in general wards.

backgroundBy simultaneously assessing multiple physiological parameters, subtle changes in a patient's clinical status can be more readily identified. However, the literature indicates that current early warning systems (EWS) are primarily utilized in in critical care units (ICU), prehospital first aid and hospital emergency cases. There remains a lack of consensus regarding early warning systems for critical nursing values in general wards, along with a shortage of effective and practical quantitative indicators for nursing risk prevention.

methodsThis study employed an integrative research approach combining literature review, theoretical analysis, and qualitative methodology. Through systematic screening, a critical nursing value warning indicators draft was identified. two-round Delphi survey was conducted involving 148 experts from clinical nursing, nursing education, and professional associations. The entire research process strictly adhered to the modified Conducting and Reporting of Delphi Studies (CREDES) guidelines and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist to ensure methodological rigor and transparency.

resultsIn the two Delphi survey rounds, the response rates for the two questionnaires were 96.62% and 99.32%, respectively. The authority coefficients were 0.854 and 0.871, respectively, with coefficients of variation ranging from 0.08 to 0.23. The final early warning system for clinical nursing critical values in general wards was composed of 10 primary indicators and 23 secondary indicators.

conclusionsThe developed indicator system for clinical nursing critical value early warning in general wards demonstrates both scientific reliability and practical applicability. It provides clear guidance to clinical nurses, enabling timely detection of patient condition changes, prevention of adverse events, and assurance of clinical nursing safety. IMPLICATIONS FOR NURSING MANAGEMENT: The development and establishment of indicator system for early warning of clinical nursing critical values in general wards will help to identify changes in patient conditions, avoidance of adverse events, and the assurance of clinical nursing safety.

Indexed as

Clinical nursingCritical valuesDelphi studyWarning indicator

Identifiers

PMID40597033
PMCPMC12211876

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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.