An observational study of community health care nurses’ knowledge about delirium
Rachid Akrour,1 Henk Verloo2 1Department of Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, 2Department of Nursing Sciences, University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland Background: Early detection of delirium among home-dwelling older patients is...
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oai:doaj.org-article:4fc0768f6aa440408e51e988ebf23ab72021-12-02T01:10:50ZAn observational study of community health care nurses’ knowledge about delirium2230-522Xhttps://doaj.org/article/4fc0768f6aa440408e51e988ebf23ab72017-03-01T00:00:00Zhttps://www.dovepress.com/an-observational-study-of-community-health-care-nursesrsquo-knowledge--peer-reviewed-article-NRRhttps://doaj.org/toc/2230-522XRachid Akrour,1 Henk Verloo2 1Department of Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, 2Department of Nursing Sciences, University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland Background: Early detection of delirium among home-dwelling older patients is a substantial challenge for home health care providers. Despite an abundance of literature, recent studies still describe a widespread lack of knowledge about delirium and its underdetection in all types of health care settings.Aims and objectives: This study aimed to assess the knowledge of community health care nurses (CHNs) about delirium in the Switzerland’s French-speaking region.Methods: A cross-sectional observational study involving 75 CHNs was conducted between February and July 2015. Data were collected using an autoadministered questionnaire based on the study by Malenfant and Voyer, exploring theoretical knowledge of delirium and its detection using clinical vignette case studies. Outcomes were analyzed using descriptive statistics.
Results: Forty-eight CHNs participated in the study; nearly all of them (44; 94%) selected the correct definition of delirium, and most (36; 78%) knew its four principal diagnostic criteria. Only 16 (34%) participants selected the confusion assessment method (CAM) as the recommended best practice delirium detection tool. Only 19 (40%) and 23 (49%) participants were able to correctly identify hypoactive and hyperactive delirium, respectively, from the clinical vignette case studies. The average score of CHNs on the Malenfant and Voyer’s questionnaire was 12.7 (SD 3.2).Conclusion: Participants showed moderate-to-low knowledge about delirium. The study identified a lack of knowledge on how to recognize the signs and symptoms of delirium and the absence of suitable delirium detection tools. Keywords: delirium knowledge questionnaire, geriatric syndromes, delirium detection tools, clinical vignettes Akrour RVerloo HDove Medical PressarticleCommunity healthcaredeliriumhome healthcarehome-dwelling older adultsnurses knowledgeknowledgenurse recognitionobservational studyNursingRT1-120ENNursing: Research and Reviews, Vol Volume 7, Pp 29-36 (2017) |
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Community healthcare delirium home healthcare home-dwelling older adults nurses knowledge knowledge nurse recognition observational study Nursing RT1-120 |
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Community healthcare delirium home healthcare home-dwelling older adults nurses knowledge knowledge nurse recognition observational study Nursing RT1-120 Akrour R Verloo H An observational study of community health care nurses’ knowledge about delirium |
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Rachid Akrour,1 Henk Verloo2 1Department of Geriatric Rehabilitation, Lausanne University Hospital, Lausanne, 2Department of Nursing Sciences, University of Applied Sciences and Arts Western Switzerland, Sion, Switzerland Background: Early detection of delirium among home-dwelling older patients is a substantial challenge for home health care providers. Despite an abundance of literature, recent studies still describe a widespread lack of knowledge about delirium and its underdetection in all types of health care settings.Aims and objectives: This study aimed to assess the knowledge of community health care nurses (CHNs) about delirium in the Switzerland’s French-speaking region.Methods: A cross-sectional observational study involving 75 CHNs was conducted between February and July 2015. Data were collected using an autoadministered questionnaire based on the study by Malenfant and Voyer, exploring theoretical knowledge of delirium and its detection using clinical vignette case studies. Outcomes were analyzed using descriptive statistics.
Results: Forty-eight CHNs participated in the study; nearly all of them (44; 94%) selected the correct definition of delirium, and most (36; 78%) knew its four principal diagnostic criteria. Only 16 (34%) participants selected the confusion assessment method (CAM) as the recommended best practice delirium detection tool. Only 19 (40%) and 23 (49%) participants were able to correctly identify hypoactive and hyperactive delirium, respectively, from the clinical vignette case studies. The average score of CHNs on the Malenfant and Voyer’s questionnaire was 12.7 (SD 3.2).Conclusion: Participants showed moderate-to-low knowledge about delirium. The study identified a lack of knowledge on how to recognize the signs and symptoms of delirium and the absence of suitable delirium detection tools. Keywords: delirium knowledge questionnaire, geriatric syndromes, delirium detection tools, clinical vignettes |
format |
article |
author |
Akrour R Verloo H |
author_facet |
Akrour R Verloo H |
author_sort |
Akrour R |
title |
An observational study of community health care nurses’ knowledge about delirium |
title_short |
An observational study of community health care nurses’ knowledge about delirium |
title_full |
An observational study of community health care nurses’ knowledge about delirium |
title_fullStr |
An observational study of community health care nurses’ knowledge about delirium |
title_full_unstemmed |
An observational study of community health care nurses’ knowledge about delirium |
title_sort |
observational study of community health care nurses’ knowledge about delirium |
publisher |
Dove Medical Press |
publishDate |
2017 |
url |
https://doaj.org/article/4fc0768f6aa440408e51e988ebf23ab7 |
work_keys_str_mv |
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