Evidence map›Paper›PMID 33922991›Full record

ArticleInternational journal of environmental research and public health2021

Implementation of an Electronic National Early Warning System to Decrease Clinical Deterioration in Hospitalized Patients at a Tertiary Medical Center.

Chieh-Liang Wu, Chen-Tsung Kuo, Sou-Jen Shih, Jung-Chen Chen, Ying-Chih Lo, Hsiu-Hui Yu, Ming-De Huang, Wayne Huey-Herng Sheu, Shih-An Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Chieh-Liang WuDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Chen-Tsung KuoComputer & Communication Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Sou-Jen ShihDepartment of Nursing, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Jung-Chen ChenCenter of Quality Management, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Ying-Chih LoCenter of Quality Management, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Hsiu-Hui YuDepartment of Nursing, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Ming-De HuangCenter of Quality Management, Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Wayne Huey-Herng SheuDepartment of Top Hospital Administration, Taipei Veterans General Hospital, Taichung 11221, Taiwan.
Shih-An LiuCenter of Quality Management, Taichung Veterans General Hospital, Taichung 40705, Taiwan.ORCID 0000-0002-1213-9080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Early Warning Score (NEWS) is an early warning system that predicts clinical deterioration. The impact of the NEWS on the outcome of healthcare remains controversial. This study was conducted to evaluate the effectiveness of implementing an electronic version of the NEWS (E-NEWS), to reduce unexpected clinical deterioration. We developed the E-NEWS as a part of the Health Information System (HIS) and Nurse Information System (NIS). All adult patients admitted to general wards were enrolled into the current study. The "adverse event" (AE) group consisted of patients who received cardiopulmonary resuscitation (CPR), were transferred to an intensive care unit (ICU) due to unexpected deterioration, or died. Patients without AE were allocated to the control group. The development of the E-NEWS was separated into a baseline (October 2018 to February 2019), implementation (March to August 2019), and intensive period (September. to December 2019). A total of 39,161 patients with 73,674 hospitalization courses were collected. The percentage of overall AEs was 6.06%. Implementation of E-NEWS was associated with a significant decrease in the percentage of AEs from 6.06% to 5.51% (

Indexed as

Clinical DeteriorationAdultElectronicsHospitalizationHospital MortalityHospitalsHumansIntensive Care Unitscardiopulmonary resuscitationclinical deteriorationearly warning scorehealth information system

Identifiers

PMID33922991
PMCPMC8123282

What OpenQuestion holds

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Registered trials

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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.