2.50
Hdl Handle:
http://hdl.handle.net/10755/621625
Category:
Full-text
Format:
Text-based Document
Type:
Poster
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Clinical Alert System to Reduce Hospital Unexpected Cardiac Arrest Event
Author(s):
Yang, Chi-Hsuan Asphodel; Huang, Lee-Ling
Lead Author STTI Affiliation:
Beta Beta (Dallas)
Author Details:
Chi-Hsuan Asphodel Yang, PhD, RN, Professional Experience: 2013-present -- Associate Professor, National Taichung University of Science and Technology, Taichung, Taiwan 2006-2012 -- Associate Professor, Central Taiwan University of Science and Technology, Taichung, Taiwan Author or coauthor of 10 publications and book chapters in past 5 years. Numerous presentations at scientific meetings. Author Summary: Dr. Yang is a nursing faculty at National Taichung University of Science and Technology. She teaches medical-surgical nursing and evidence base nursing. Her research interests include pain management for older adults and use metaanlaysis to synthesize the results of relevant research to answer clinical questions.
Abstract:

Purpose:  The purpose of the paper was to determine whether clinical alert system led by nurses prompted by clinical instability in a patient could reduce the incidence of unexpected cardiac arrest in hospital.

Methods: A retrospective analysis of data extracted from medical records was performed to compare the incidence of UAC before and after the implantation of the CAS. The study was conducted at a 350-bed teaching hospital in central Taiwan area. Medical records of all adult patients admitted to the non-ICU wards of the hospital from January 1, 2010 to December 31, 2015 were reviewed. Patients who had signed do-not resuscitate order were excluded. We measure the incidence of unexpected cardiac arrests that occurred outside of the intensive care unit and occurred over the study period.

Results: There were 557 CAS calls during the study period. In the 36 months before the CAS began, the overall unexpected cardiac arrest was0.020% per month. In the subsequent 36 months, that UAC rate was 0.021% per month. A slightly increase of UAC incidence was noted. A Bai-Perron method was used to test if there was any structure break appeared in the UAC rate of the 72 months. The analysis of Bai-Perron method identified the structural break date to be the 4th month of 2015 (F = 26.1732, p < .01), that after April 2015, the trend of UCA rate was shifted to a lower rate. In addition, the result of a order logistic regression showed three possible determinants of clinical outcomes after CAS; they were comorbidity ≧4 (p = .0054); presentation of neurological sign and symptom (p = .0000) and presentation of cardio-pulmonary sign and symptom (p = .0000).

Conclusion: While it may take up to 16 months to see the positive effect, the deployment of a clinical alert system may help in early recognition and response to patients’ deterioration to further prevent UCA. Nurses should familiarize with the important clinical alerting sign and symptoms of patients; so that nurse could initiate early response to patients’ deterioration and could further help prevent UCA.

Keywords:
Clinical Alert System; Retrospective Analysis; Unexpected Cardiac Arrest
Repository Posting Date:
30-Jun-2017
Date of Publication:
30-Jun-2017
Other Identifiers:
INRC17PST191
Conference Date:
2017
Conference Name:
28th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International
Conference Location:
Dublin, Ireland
Description:
Event Theme: Influencing Global Health Through the Advancement of Nursing Scholarship

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePosteren
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titleClinical Alert System to Reduce Hospital Unexpected Cardiac Arrest Eventen_US
dc.contributor.authorYang, Chi-Hsuan Asphodelen
dc.contributor.authorHuang, Lee-Lingen
dc.contributor.departmentBeta Beta (Dallas)en
dc.author.detailsChi-Hsuan Asphodel Yang, PhD, RN, Professional Experience: 2013-present -- Associate Professor, National Taichung University of Science and Technology, Taichung, Taiwan 2006-2012 -- Associate Professor, Central Taiwan University of Science and Technology, Taichung, Taiwan Author or coauthor of 10 publications and book chapters in past 5 years. Numerous presentations at scientific meetings. Author Summary: Dr. Yang is a nursing faculty at National Taichung University of Science and Technology. She teaches medical-surgical nursing and evidence base nursing. Her research interests include pain management for older adults and use metaanlaysis to synthesize the results of relevant research to answer clinical questions.en
dc.identifier.urihttp://hdl.handle.net/10755/621625-
dc.description.abstract<p><strong>Purpose: </strong> The purpose of the paper was to determine whether clinical alert system led by nurses prompted by clinical instability in a patient could reduce the incidence of unexpected cardiac arrest in hospital.</p> <p><strong>Methods: </strong>A retrospective analysis of data extracted from medical records was performed to compare the incidence of UAC before and after the implantation of the CAS. The study was conducted at a 350-bed teaching hospital in central Taiwan area. Medical records of all adult patients admitted to the non-ICU wards of the hospital from January 1, 2010 to December 31, 2015 were reviewed. Patients who had signed do-not resuscitate order were excluded. We measure the incidence of unexpected cardiac arrests that occurred outside of the intensive care unit and occurred over the study period.</p> <p><strong>Results: </strong>There were 557 CAS calls during the study period. In the 36 months before the CAS began, the overall unexpected cardiac arrest was0.020% per month. In the subsequent 36 months, that UAC rate was 0.021% per month. A slightly increase of UAC incidence was noted. A Bai-Perron method was used to test if there was any structure break appeared in the UAC rate of the 72 months. The analysis of Bai-Perron method identified the structural break date to be the 4<sup>th</sup> month of 2015 (<em>F</em> = 26.1732, <em>p</em> < .01), that after April 2015, the trend of UCA rate was shifted to a lower rate. In addition, the result of a order logistic regression showed three possible determinants of clinical outcomes after CAS; they were comorbidity ≧4 (<em>p</em> = .0054); presentation of neurological sign and symptom (<em>p</em> = .0000) and presentation of cardio-pulmonary sign and symptom (<em>p</em> = .0000).</p> <p><strong>Conclusion: </strong>While it may take up to 16 months to see the positive effect, the deployment of a clinical alert system may help in early recognition and response to patients’ deterioration to further <em>prevent UCA.</em> Nurses should familiarize with the important clinical alerting sign and symptoms of patients; so that nurse could initiate early response to patients’ deterioration and could further help <em>prevent UCA</em>.</p>en
dc.subjectClinical Alert Systemen
dc.subjectRetrospective Analysisen
dc.subjectUnexpected Cardiac Arresten
dc.date.available2017-06-30T19:53:52Z-
dc.date.issued2017-06-30-
dc.date.accessioned2017-06-30T19:53:52Z-
dc.conference.date2017en
dc.conference.name28th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau Internationalen
dc.conference.locationDublin, Irelanden
dc.descriptionEvent Theme: Influencing Global Health Through the Advancement of Nursing Scholarshipen
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