Early recognition of patient deterioration: Application of the modified early warning score

被引：1
|
作者：
Zegrean, Mihaela [1 ]
Cambridge, Betsy [1 ]
Thompson, Wayne Luther [2 ]
机构：
[1] Concordia Univ, Sch Nursing, Ann Arbor, MI 48105 USA
[2] Concordia Univ Wisconsin, Off Res & Sponsored Programs, Mequon, WI USA
来源：
TEACHING AND LEARNING IN NURSING | 2023年 / 18卷 / 04期
关键词：
Failure to rescue; Modified early warning score; Nursing education; Patient deterioration; Simulation; EARLY SIGNS; NURSES; SIMULATION; FAILURE; PERFORMANCE; CONFIDENCE; KNOWLEDGE;
D O I：
10.1016/j.teln.2023.07.008
中图分类号：
R47 [护理学];
学科分类号：
1011 ;
摘要：
The aims of this study were to improve nursing students' ability to recognize, communicate and act upon early warning signs of patient deterioration. The Modified Early Warning Score (MEWS) is a simple tool that nursing students can use to detect early patient deterioration. This pretest-posttest observational study revealed improvements in the MEWS scores, MEWS action algorithm, and adapted SBAR (S-situation, B-background, A-assessment, R-response) use. Nursing students may improve in identifying patient deterioration using the MEWS.(c) 2023 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：486 / 491
页数：6
相关论文
共 50 条
  • [31] Evaluation of a simplified therapeutic intervention scoring system (TISS-28) and the modified early warning score (MEWS) in predicting physiological deterioration during inter-facility transport
    Lee, Larry L. Y.
    Yeung, K. L.
    Lo, Wendy Y. L.
    Lau, Yvonne S. C.
    Tang, Simon Y. H.
    Chan, Jimmy T. S.
    RESUSCITATION, 2008, 76 (01) : 47 - 51
  • [32] Modified Early Warning Score (MEWS) as a predictor of intensive care unit admission in cancer patient on chemotherapy with positive blood culture: A retrospective cohort study
    Allarakia, Jawad
    Felemban, Taher
    Alghamdi, Amer
    Ashi, Abdullah
    Al Talhi, Yousef M.
    Alsahafi, Ashraf
    Alamri, Abdulfatah
    Aldabbagh, Mona
    JOURNAL OF INFECTION AND PUBLIC HEALTH, 2023, 16 (06) : 865 - 869
  • [33] Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department
    Ho, Le Onn
    Li, Huihua
    Shahidah, Nur
    Koh, Zhi Xiong
    Sultana, Papia
    Ong, Marcus Eng Hock
    WORLD JOURNAL OF EMERGENCY MEDICINE, 2013, 4 (04) : 273 - 277
  • [34] The Predictive Role of Modified Early Warning Score in 174 Hematological Patients at the Point of Transfer to the Intensive Care Unit
    Constantinescu, Catalin
    Pasca, Sergiu
    Iluta, Sabina
    Gafencu, Grigore
    Santa, Maria
    Jitaru, Ciprian
    Teodorescu, Patric
    Dima, Delia
    Zdrenghea, Mihnea
    Tomuleasa, Ciprian
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (20)
  • [35] Predicting Respiratory Therapists' Intentions to Use the Modified Early Warning Score by Using an Enhanced Technology Acceptance Model
    Mussa, Constance C.
    Al-Raimi, Afnan
    Becker, Ellen A.
    RESPIRATORY CARE, 2019, 64 (04) : 416 - 424
  • [36] Performance of Modified Early Warning Score (MEWS) for Predicting In-Hospital Mortality in Traumatic Brain Injury Patients
    Kim, Dong-Ki
    Lee, Dong-Hun
    Lee, Byung-Kook
    Cho, Yong-Soo
    Ryu, Seok-Jin
    Jung, Yong-Hun
    Lee, Ji-Ho
    Han, Jun-Ho
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (09)
  • [37] Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department
    Le Onn Ho
    Huihua Li
    Nur Shahidah
    Zhi Xiong Koh
    Papia Sultana
    Marcus Eng Hock Ong
    World Journal of Emergency Medicine, 2013, 4 (04) : 273 - 277
  • [38] Modified early warning score-based clinical decision support: cost impact and clinical outcomes in sepsis
    Horton, Devin J.
    Graves, Kencee K.
    Kukhareva, Polina, V
    Johnson, Stacy A.
    Cedillo, Maribel
    Sanford, Matthew
    Dunson, William A., Jr.
    White, Michael
    Roach, Dave
    Arego, John J.
    Kawamoto, Kensaku
    JAMIA OPEN, 2020, 3 (02) : 261 - 268
  • [39] Early warning systems and rapid response to the deteriorating patient in hospital: A realist evaluation
    McGaughey, Jennifer
    O'Halloran, Peter
    Porter, Sam
    Trinder, John
    Blackwood, Bronagh
    JOURNAL OF ADVANCED NURSING, 2017, 73 (12) : 3119 - 3132
  • [40] Confidence-Enhanced Early Warning Score Based on Fuzzy Logic
    Maximilian Götzinger
    Arman Anzanpour
    Iman Azimi
    Nima TaheriNejad
    Axel Jantsch
    Amir M. Rahmani
    Pasi Liljeberg
    Mobile Networks and Applications, 2022, 27 : 691 - 708
12345