Literature DB >> 24100432

Prevention of unplanned intensive care unit admissions and hospital mortality by early warning systems.

Ila D Mapp1, Leslie L Davis, Heidi Krowchuk.   

Abstract

Researchers have found that patients exhibit physiological changes up to 8 hours prior to an arrest event. Deaths have been attributed to a lack of observation, lack of documentation of observations, inability of a caregiver to recognize early signs of deterioration, and lack of communication between healthcare providers. This integrative review examines early warning scoring systems and their effectiveness in predicting a patient's potential for deterioration and considers whether these scoring systems prevent unplanned intensive care unit admissions and/or death. Three databases (MEDLINE, CINAHL [Cumulative Index to Nursing and Allied Health Literature], and the Cochrane Collaboration) were searched to identify the instruments and clinical support systems available to assist healthcare personnel in recognizing early clinical deterioration. Key search words included modified early warning score, early warning score, early warning systems, deteriorating patient, patients at risk, shock index, track and trigger systems, and failure to rescue. Two prior literature reviews examined early warning scoring systems and their effects on patient outcomes; however, the most recent one reviewed only articles published before 2007. This review examined studies of early warning systems and the incorporation of clinical support published from 2007 to 2012. Nine studies fitting the search criteria were included in this review. Early warning scoring systems that interface with electronic medical records and are supplemented with decision aides (algorithms) and clinical support systems produce an effective screening system for early identification of deteriorating patients. This multifaceted approach decreases unplanned intensive care unit admissions and hospital mortality.

Entities:  

Mesh:

Year:  2013        PMID: 24100432     DOI: 10.1097/DCC.0000000000000004

Source DB:  PubMed          Journal:  Dimens Crit Care Nurs        ISSN: 0730-4625


  10 in total

1.  Real-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality.

Authors:  Hargobind S Khurana; Robert H Groves; Michael P Simons; Mary Martin; Brenda Stoffer; Sherri Kou; Richard Gerkin; Eric Reiman; Sairam Parthasarathy
Journal:  Am J Med       Date:  2016-03-24       Impact factor: 4.965

2.  Physician awareness and attitudes regarding early warning score systems in mainland China: a cross-sectional study.

Authors:  Yang Xiong; Weiwei Dai; Renhe Yu; Lingling Liang; Lingli Peng
Journal:  Singapore Med J       Date:  2020-07-16       Impact factor: 3.331

3.  Evaluation of the SpO2/FiO2 ratio as a predictor of intensive care unit transfers in respiratory ward patients for whom the rapid response system has been activated.

Authors:  Won Gun Kwack; Dong Seon Lee; Hyunju Min; Yun Young Choi; Miae Yun; Youlim Kim; Sang Hoon Lee; Inae Song; Jong Sun Park; Young-Jae Cho; You Hwan Jo; Ho Il Yoon; Jae Ho Lee; Choon-Taek Lee; Yeon Joo Lee
Journal:  PLoS One       Date:  2018-07-31       Impact factor: 3.240

4.  Prognostic value of Modified Early Warning Score generated in a Chinese emergency department: a prospective cohort study.

Authors:  Xiaohua Xie; Wenlong Huang; Qiongling Liu; Wei Tan; Lu Pan; Lei Wang; Jian Zhang; Yunyun Wang; Yingchun Zeng
Journal:  BMJ Open       Date:  2018-12-14       Impact factor: 2.692

5.  A Multicenter Observational Prospective Cohort Study of Association of the Prehospital National Early Warning Score 2 and Hospital Triage with Early Mortality.

Authors:  Francisco Martín-Rodríguez; Raúl López-Izquierdo; Carlos Del Pozo Vegas; Juan F Delgado-Benito; Carmen Del Pozo Pérez; Virginia Carbajosa Rodríguez; Agustín Mayo Iscar; José Luis Martín-Conty; Carlos Escudero Cuadrillero; Miguel A Castro-Villamor
Journal:  Emerg Med Int       Date:  2019-07-01       Impact factor: 1.112

6.  Feasibility of wireless continuous monitoring of vital signs without using alarms on a general surgical ward: A mixed methods study.

Authors:  Jobbe P L Leenen; Henriëtte J M Rasing; Joris D van Dijk; Cor J Kalkman; Lisette Schoonhoven; Gijs A Patijn
Journal:  PLoS One       Date:  2022-03-14       Impact factor: 3.240

7.  Is There Evidence of Cost Benefits of Electronic Medical Records, Standards, or Interoperability in Hospital Information Systems? Overview of Systematic Reviews.

Authors:  Zilma Silveira Nogueira Reis; Thais Abreu Maia; Milena Soriano Marcolino; Francisco Becerra-Posada; David Novillo-Ortiz; Antonio Luiz Pinho Ribeiro
Journal:  JMIR Med Inform       Date:  2017-08-29

8.  Continuous Monitoring of Vital Signs Using Wearable Devices on the General Ward: Pilot Study.

Authors:  Mariska Weenk; Harry van Goor; Bas Frietman; Lucien Jlpg Engelen; Cornelis Jhm van Laarhoven; Jan Smit; Sebastian Jh Bredie; Tom H van de Belt
Journal:  JMIR Mhealth Uhealth       Date:  2017-07-05       Impact factor: 4.773

9.  Continuous Monitoring of Vital Signs in the General Ward Using Wearable Devices: Randomized Controlled Trial.

Authors:  Mariska Weenk; Sebastian J Bredie; Mats Koeneman; Gijs Hesselink; Harry van Goor; Tom H van de Belt
Journal:  J Med Internet Res       Date:  2020-06-10       Impact factor: 5.428

10.  Derivation and validation of modified early warning score plus SpO2/FiO2 score for predicting acute deterioration of patients with hematological malignancies.

Authors:  Ju-Ry Lee; Youn-Kyoung Jung; Hwa Jung Kim; Younsuck Koh; Chae-Man Lim; Sang-Bum Hong; Jin Won Huh
Journal:  Korean J Intern Med       Date:  2020-03-03       Impact factor: 2.884

  10 in total

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