Response Teams Utilizing Early Warning Scores to Impact Unplanned ICU Admissions
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| Argitaratua izan da: | ProQuest Dissertations and Theses (2025) |
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ProQuest Dissertations & Theses
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| Sarrera elektronikoa: | Citation/Abstract Full Text - PDF |
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| Laburpena: | In the hospital environment, patients may be at risk of experiencing clinical deterioration. The project site had observed a number of unplanned admissions to the Intensive Care Unit (ICU), highlighting the need for an evidence-based intervention. The purpose of this quality improvement project was to determine if the translation of Danesh et al.'s research on the use of an early warning score-based proactive rapid response team model would impact the rate of unplanned ICU escalations among admitted adult patients. Patricia Benner’s novice to expert framework and Bernadette Melnyk’s Advancing Research and Clinical Practice through Close Collaboration (ARCC) model provided the theoretical foundations for the project. Data were extracted from the electronic health record on a total sample of 344, with 158 in the comparative group and 186 in the implementation group. A chi-square test revealed a statistically significant difference between the comparative group and the implementation group regarding unplanned escalation to the ICU, χ2 (1, n = 344) = 10.97, p = .001. Clinical significance was supported by the 50.9% decrease in ICU escalations after the implementation. Based on these findings, the translation of Danesh et al.'s research on the use of an early warning score-based proactive rapid response team model may lead to a reduction in unplanned ICU admissions. Recommendations include sustaining the project at the site, disseminating the results, and replicating the project in additional units. |
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| ISBN: | 9798293891108 |
| Baliabidea: | ProQuest Dissertations & Theses Global |