Scoping review: The use of early warning systems for the identification of in-hospital patients at risk of deterioration

被引:48
|
作者
Le Lagadec, Marie Danielle [1 ]
Dwyer, Trudy [2 ]
机构
[1] Mater Misericordiae Hosp Bundaberg, 313 Bourbong St, Bundaberg, Qld 4670, Australia
[2] CQUniv Australia, Bldg 18-G-06, Rockhampton, Qld 4702, Australia
关键词
Early warning systems; Track-and-trigger; Severe adverse events; Patient deterioration; In-hospital patients; Unplanned ICU admission; Preventable mortality; Patient outcomes; INTENSIVE-CARE-UNIT; CARDIAC-ARREST; VITAL SIGNS; CLINICAL DETERIORATION; SCORE NEWS; NEW-ZEALAND; MORTALITY; MEWS; ADMISSION; VALIDATION;
D O I
10.1016/j.aucc.2016.10.003
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Introduction: Early warning systems (EWS) were developed as a means of alerting medical staff to patient clinical decline. Since 85% of severe adverse events are preceded by abnormal physiological signs, the patient bed-side vital signs observation chart has emerged as an EWS tool to help staff identify and quantify deteriorating patients. There are three broad categories of patient observation chart EWS: single or multiple parameter systems; aggregated weighted scoring systems; or combinations of single or multiple parameter and aggregated weighted scoring systems. Objective: Thisscoping review is an overview of quantitative studies and systematic reviews examining the efficiency of the adult EWS charts in the recognition of in-hospital patient deterioration. Method: A broad search was undertaken of peer-reviewed publications, official government websites and databases housing research theses, using combinations of keywords and phrases. Data sources: CINAHL with full text; MedLine, PsycINFO, MasterFILE Premier, GreenFlLE and ScienceDirect. Also, the Cochrane Library database, Department of Health government websites and Ethos, ProQuest and Trove databases were searched. Exclusions: Paediatric, obstetric and intensive care studies, studies undertaken at the point of hospital admission or pre-admission, non-English publications and editorials. Results: Five hundred and sixty five publications, government documents, reports and theses were located of which 91 were considered and 21 were included in the scoping review. Of the 21 publications eight studies compared the efficacy of various EWS and 13 publications validated specific EWS. Conclusions: There is low level quantitative evidence that EWS improve patient outcomes and strong anecdotal evidence that they augment the ability of the clinical staff to recognise and respond to patient decline, thus reducing the incidence of severe adverse events. Although aggregated weighted scoring systems are most frequently used, the efficiency of the specific EWS appears to be dependent on the patient cohort, facilities available and staff training and attitude. While the review demonstrates support for EWS, researchers caution that given the contribution of human factors to the EWS decision-making process, patient EWS charts alone cannot replace good clinical judgment. (C) 2016 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:211 / 218
页数:8
相关论文
共 50 条
  • [1] Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
    Muralitharan, Sankavi
    Nelson, Walter
    Di, Shuang
    McGillion, Michael
    Devereaux, P. J.
    Barr, Neil Grant
    Petch, Jeremy
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (02)
  • [2] Early Warning/Track-and-Trigger Systems to Detect Deterioration and Improve Outcomes in Hospitalized Patients
    Shiloh, Ariel L.
    Lominadze, George
    Gong, Michelle N.
    Savel, Richard H.
    SEMINARS IN RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 37 (01) : 88 - 95
  • [3] Improving In-Hospital Patient Rescue: What Are Studies on Early Warning Scores Missing? A Scoping Review
    Esmaeilzadeh, Sarvie
    Lane, Conor M.
    Gerberi, Danielle J.
    Wakeam, Elliot
    Pickering, Brian W.
    Herasevich, Vitaly
    Hyder, Joseph A.
    CRITICAL CARE EXPLORATIONS, 2022, 4 (02) : E0644
  • [4] Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology
    Gerry, Stephen
    Bonnici, Timothy
    Birks, Jacqueline
    Kirtley, Shona
    Virdee, Pradeep S.
    Watkinson, Peter J.
    Collins, Gary S.
    BMJ-BRITISH MEDICAL JOURNAL, 2020, 369
  • [5] Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review
    Wan, Yik-Ki Jacob
    Wright, Melanie C.
    McFarland, Mary M.
    Dishman, Deniz
    Nies, Mary A.
    Rush, Adriana
    Madaras-Kelly, Karl
    Jeppesen, Amanda
    Del Fiol, Guilherme
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (01) : 256 - 273
  • [6] Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration
    Escobar, Gabriel J.
    Liu, Vincent X.
    Schuler, Alejandro
    Lawson, Brian
    Greene, John D.
    Kipnis, Patricia
    NEW ENGLAND JOURNAL OF MEDICINE, 2020, 383 (20) : 1951 - 1960
  • [7] A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study
    Pimentel, Marco A. F.
    Redfern, Oliver C.
    Gerry, Stephen
    Collins, Gary S.
    Malycha, James
    Prytherch, David
    Schmidt, Paul E.
    Smith, Gary B.
    Watkinson, Peter J.
    RESUSCITATION, 2019, 134 : 147 - 156
  • [8] Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit
    Liu, Vincent X.
    Lu, Yun
    Carey, Kyle A.
    Gilbert, Emily R.
    Afshar, Majid
    Akel, Mary
    Shah, Nirav S.
    Dolan, John
    Winslow, Christopher
    Kipnis, Patricia
    Edelson, Dana P.
    Escobar, Gabriel J.
    Churpek, Matthew M.
    JAMA NETWORK OPEN, 2020, 3 (05) : E205191
  • [9] Can the prehospital National Early Warning Score 2 identify patients at risk of in-hospital early mortality? A prospective, multicenter cohort study
    Martin-Rodriguez, Francisco
    Lopez-Izquierdo, Raul
    del Pozo Vegas, Carlos
    Sanchez-Soberon, Irene
    Delgado-Benito, Juan F.
    Luis Martin-Conty, Jose
    Castro-Villamor, Miguel A.
    HEART & LUNG, 2020, 49 (05): : 585 - 591
  • [10] Evaluation of the efficacy of the National Early Warning Score in predicting in-hospital mortality via the risk stratification
    Lee, Young Seok
    Choi, Jae Woo
    Park, Yeon Hee
    Chung, Chaeuk
    Park, Dong Il
    Lee, Jeong Eun
    Lee, Hye Sun
    Moon, Jae Young
    JOURNAL OF CRITICAL CARE, 2018, 47 : 222 - 226