Evidence map›Paper›PMID 39939925›Full record

ArticleBMC emergency medicine2025

Predicting high-risk return at emergency department presentation for patients who undergo short-term revisits: the HANDLE-24 score.

Chung-Ting Chen, Po-Hsiang Liao, Meng-Chen Lin, Hsien-Hao Huang, Chorng-Kuang How, Yu-Chi Tung

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

6 authors.

Chung-Ting ChenEmergency Department, Taipei Veterans General Hospital, Taipei, Taiwan.
Po-Hsiang LiaoEmergency Department, Taipei Veterans General Hospital, Taipei, Taiwan.
Meng-Chen LinNursing Department, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsien-Hao HuangEmergency Department, Taipei Veterans General Hospital, Taipei, Taiwan.
Chorng-Kuang HowEmergency Department, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu-Chi TungInstitute of Health Policy and Management, College of Public Health, National Taiwan University, No.17, Xu-Zhou Rd, Taipei, 10055, Taiwan. yuchitung@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan MOST 110-2410-H-002-116-MY3National Science and Technology Council NSTC 113-2410-H-002-052-MY3 and MOST 110-2410-H-002-116-MY3
6 · The paper itself

Abstract

backgroundThe 72-h emergency department (ED) revisit rate is a key quality indicator. While some revisits stem from medical errors or inadequate initial treatment, others are due to disease progression or a lack of accessible care. The development of a risk assessment tool could identify high-risk patients and improve resource management.

methodsThis study was conducted via an electronic health records system at a tertiary center in Taiwan. We derived a risk model via logistic regression and bootstrapping methods using a retrospective cohort of adults who underwent 72-h ED revisits between January 2019 and December 2020. The study population was divided into development (2019: 1224) and validation datasets (2020: 985). The primary outcome was high-risk return, defined as intensive care unit (ICU) admission or in-hospital mortality after 72-h ED return.

resultsOn the basis of the odds ratio, eight variables were independently associated with high-risk ED returns and subsequently included in the HANDLE-24 score (hypertension; symptoms of acute coronary syndrome; dysnatremia; dyspnea; liver disease; triage level escalation; and revisits within 24 h). The area under the receiver operating characteristic curve was 0.816 (95% CI: 0.760-0.871, p < 0.001) in the development dataset and 0.804 (0.750-0.858) in the validation dataset. Patients can be divided into three risk categories on the basis of the HANDLE-24 score: low [0-8.5], moderate [9-11.5] and high [12-22] risk groups. The ability of our risk score to predict the rates of hospital admission, ICU admission and in-hospital mortality was significant according to the Cochran‒Armitage trend test.

conclusionThe HANDLE-24 score represents a simple tool that allows early risk stratification and suggests more aggressive therapeutic strategies for patients experiencing ED revisits. The risk of adverse outcomes in ED adults after revisiting can be swiftly assessed via easily available information.

Indexed as

Emergency Room VisitsIntensive Care UnitsPatient AdmissionRisk AssessmentAdultAgedAged, 80 and overDisease ProgressionElectronic Health RecordsFemaleHospital MortalityHumansLogistic ModelsMaleMedical ErrorsMiddle AgedEmergency department returnEmergency department revisitMortalityPrediction modelQuality measureRisk score

Identifiers

PMID39939925
PMCPMC11823143

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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.