Background: Respiratory rate (RR) is an important vital sign which is strongly correlated with in-hospital mortality. At the same time, RR is the most likely vital sign to be omitted when assessing a patient. We believe that one reason for this could be the difficulty in measure the RR, since it is not read off a monitor, but counted manually. Also there is the possibility of assessment bias and the inter-observer reliability becomes important. We therefore set out to investigate how the nursing staff counting the actual number of respirations per minute would agree with the nursing staff using a predefined ordinal scale.
Methods: For this prospective study, we recorded five videos of a young healthy man breathing approximately 5, 10, 15, 30 and 60 times per minute. The videos were shown in a random order to a suitable sample of the nursing staff. The participants were randomized into two groups; one to count the exact number of breaths per minute, and one to use a predefined ordinal scale.
Results: Comparing the exact number of breaths per minute, the Intra Class Coefficient (ICC) was 0.99 (95% CI: 0.97-1.00). Comparing the RR using the predefined scale, the overall Kappa Fleiss Coefficient was 0.75.
Conclusions: The inter-observer agreement was high when comparing the use of the actual number of breaths per minute and substantial when comparing the use of the predefined scale. This is the largest inter-observer study on RR to date. However, further studies on the use of scaled comparisons of RR are needed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474608 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0129493 | PLOS |
Qual Manag Health Care
January 2025
Author Affiliations: Department of Medical Staff Quality, Corporate Quality, Atrium Health Waxhaw, North Carolina (Dr Glass); School of Nursing, College of Health and Human Services, UNC Charlotte Charlotte, North Carolina (Dr Powers); School of Nursing, College of Health & Human Services, UNC Charlotte Charlotte, North Carolina (Dr Magennis), and Nursing Excellence, Enterprise Nursing, Atrium Health Nursing Administration (Dr Shaw).
Background And Objectives: Nurses' documentation of communication, including notification of critical laboratory results (CLR), is important to ensure safe, high-quality care. Evidence supports peer audit with feedback as a quality improvement (QI) intervention to improve documentation. Nursing compliance with CLR documentation requirements was below goal for several years in an intensive care unit.
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January 2025
Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Mental health (MH) comorbidities are prevalent among people with epilepsy (PWE), but many experience challenges accessing care. To address this, suggestions have been made to integrate MH care into epilepsy care settings, yet the current approaches, benefits, and implementation determinants to MH care integration are unclear. This review aims to synthesize existing integrated MH care models for PWE to inform the development and planning of future initiatives.
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March 2025
Training Unit, Çanakkale Onsekiz Mart University Hospital, Çanakkale, Turkey.
Background: Although disasters continue to increase all over the world and international nursing organizations warn nurses to be ready for disasters, it is stated that the training of nurses for disasters is inadequate in Turkey as in many countries, and studies on this subject are limited AIM: This study aimed to explore the relationship between disaster preparedness perception, self-efficacy, and psychological capital among Turkish nurses.
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Nurs Open
January 2025
Department of Nursing, Haliç University Faculty of Health Sciences, İstanbul, Turkey.
Aim: This study examined the experiences of nursing students who attended hospital clinicals during the COVID-19 pandemic.
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Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
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