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Identifying Delirium in Hospitalized Patients Using Nursing Delirium Screening Scale.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Identifying Delirium in Hospitalized Patients Using Nursing Delirium Screening Scale./
作者:
Arockiam, Christina Sebastin.
面頁冊數:
1 online resource (147 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-09, Section: B.
Contained By:
Dissertations Abstracts International84-09B.
標題:
Nursing. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30315743click for full text (PQDT)
ISBN:
9798377649564
Identifying Delirium in Hospitalized Patients Using Nursing Delirium Screening Scale.
Arockiam, Christina Sebastin.
Identifying Delirium in Hospitalized Patients Using Nursing Delirium Screening Scale.
- 1 online resource (147 pages)
Source: Dissertations Abstracts International, Volume: 84-09, Section: B.
Thesis (D.N.P.)--Grand Canyon University, 2023.
Includes bibliographical references
Delirium is a sudden brain dysfunction that can affect the mental status of hospitalized adult patients. At the project site, there was no consistent screening tool for delirium, so an evidence-based solution was sought. The purpose of this quality improvement project was to determine if the translation of Heinrich et al.'s research regarding Gaudreau et al.'s Nursing Delirium Screening Scale (Nu-DESC) would impact the identification of delirium and subsequent provider notification within 30 minutes among adult patients in an acute care hospital in urban California over eight weeks. Virginia Henderson's need theory and the Iowa Model Revised: Evidence-based practice to promote excellence in health care change theory provided the theoretical underpinnings for the project. Data were collected from the electronic health record. A total of 1,047 patients were included, with n = 513 in the comparison group and n = 534 in the implementation group. To analyze the data, chi-square tests were conducted. Results showed statistically significant improvement in the identification of delirium, X2 (1, N = 1,047) = 30.69, p = .001 and provider notifications X2 (1, N = 544) = 100.39, p = .001. Clinical significance was shown in the 5.8% increase in identification and the 19.4% increase in provider notifications. Based on the results, the implementation of Heinrich et al.'s research on Gaudreau et al.'s Nu-DESC may impact the identification of delirium and subsequent provider notification within 30 minutes in this population. Recommendations are to sustain the project and disseminate the results.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798377649564Subjects--Topical Terms:
528444
Nursing.
Subjects--Index Terms:
Acute brain failureIndex Terms--Genre/Form:
542853
Electronic books.
Identifying Delirium in Hospitalized Patients Using Nursing Delirium Screening Scale.
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Delirium is a sudden brain dysfunction that can affect the mental status of hospitalized adult patients. At the project site, there was no consistent screening tool for delirium, so an evidence-based solution was sought. The purpose of this quality improvement project was to determine if the translation of Heinrich et al.'s research regarding Gaudreau et al.'s Nursing Delirium Screening Scale (Nu-DESC) would impact the identification of delirium and subsequent provider notification within 30 minutes among adult patients in an acute care hospital in urban California over eight weeks. Virginia Henderson's need theory and the Iowa Model Revised: Evidence-based practice to promote excellence in health care change theory provided the theoretical underpinnings for the project. Data were collected from the electronic health record. A total of 1,047 patients were included, with n = 513 in the comparison group and n = 534 in the implementation group. To analyze the data, chi-square tests were conducted. Results showed statistically significant improvement in the identification of delirium, X2 (1, N = 1,047) = 30.69, p = .001 and provider notifications X2 (1, N = 544) = 100.39, p = .001. Clinical significance was shown in the 5.8% increase in identification and the 19.4% increase in provider notifications. Based on the results, the implementation of Heinrich et al.'s research on Gaudreau et al.'s Nu-DESC may impact the identification of delirium and subsequent provider notification within 30 minutes in this population. Recommendations are to sustain the project and disseminate the results.
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