Literature DB >> 33922991

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

Chieh-Liang Wu1,2,3, Chen-Tsung Kuo4,5, Sou-Jen Shih6, Jung-Chen Chen7, Ying-Chih Lo7, Hsiu-Hui Yu6, Ming-De Huang7, Wayne Huey-Herng Sheu8,9,10,11, Shih-An Liu7,9.   

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% (p = 0.001). CPRs at wards were significantly reduced (0.52% to 0.34%, p = 0.012). The number of patients transferred to the ICU also decreased significantly (3.63% to 3.49%, p = 0.035). Using multivariate analysis, the intensive period was associated with reducing AEs (p = 0.019). In conclusion, we constructed an E-NEWS system, updating the NEWS every hour automatically. Implementing the E-NEWS was associated with a reduction in AEs, especially CPRs at wards and transfers to ICU from ordinary wards.

Entities:  

Keywords:  cardiopulmonary resuscitation; clinical deterioration; early warning score; health information system

Year:  2021        PMID: 33922991     DOI: 10.3390/ijerph18094550

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  18 in total

Review 1.  Strengths and limitations of early warning scores: A systematic review and narrative synthesis.

Authors:  C L Downey; W Tahir; R Randell; J M Brown; D G Jayne
Journal:  Int J Nurs Stud       Date:  2017-09-13       Impact factor: 5.837

Review 2.  Prognostic value of early warning scores in the emergency department (ED) and acute medical unit (AMU): A narrative review.

Authors:  R S Nannan Panday; T C Minderhoud; N Alam; P W B Nanayakkara
Journal:  Eur J Intern Med       Date:  2017-10-07       Impact factor: 4.487

3.  Early Deterioration Indicator: Data-driven approach to detecting deterioration in general ward.

Authors:  Erina Ghosh; Larry Eshelman; Lin Yang; Eric Carlson; Bill Lord
Journal:  Resuscitation       Date:  2017-11-06       Impact factor: 5.262

4.  Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients.

Authors:  Malcolm Green; Harvey Lander; Ashley Snyder; Paul Hudson; Matthew Churpek; Dana Edelson
Journal:  Resuscitation       Date:  2017-11-21       Impact factor: 5.262

5.  Clinician Perceptions of an Early Warning System on Patient Safety.

Authors:  Aisha de Vries; Jos M T Draaisma; Joris Fuijkschot
Journal:  Hosp Pediatr       Date:  2017-10

6.  Multicenter development and validation of a risk stratification tool for ward patients.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; Ari A Robicsek; David O Meltzer; Robert D Gibbons; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2014-09-15       Impact factor: 21.405

7.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

8.  Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.

Authors:  Stephen Gerry; Timothy Bonnici; Jacqueline Birks; Shona Kirtley; Pradeep S Virdee; Peter J Watkinson; Gary S Collins
Journal:  BMJ       Date:  2020-05-20

9.  The impact of introducing the early warning scoring system and protocol on clinical outcomes in tertiary referral university hospital.

Authors:  Yuda Sutherasan; Pongdhep Theerawit; Alongkot Suporn; Arkom Nongnuch; Pariya Phanachet; Chomsri Kositchaiwat
Journal:  Ther Clin Risk Manag       Date:  2018-10-23       Impact factor: 2.423

10.  A Protocolised Once a Day Modified Early Warning Score (MEWS) Measurement Is an Appropriate Screening Tool for Major Adverse Events in a General Hospital Population.

Authors:  Louise S van Galen; Casper C Dijkstra; Jeroen Ludikhuize; Mark H H Kramer; Prabath W B Nanayakkara
Journal:  PLoS One       Date:  2016-08-05       Impact factor: 3.240

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