Objective: This study was conducted to address the importance of identifying nursing errors in critical care units and the lack of appropriate tools for measuring them. This study aimed to develop and psychometrically evaluate a nursing error tool in critical care units.
Design: This was a psychometric validity study.
Setting: The study involved eight critical care units affiliated with Kurdistan University of Medical Sciences.
Methods: The research was conducted in two phases. In the first phase, data were gathered via interviews with nurses, and analyzed with conventional content analysis. The primary codes and subcategories were identified as tool items. In the second phase, the psychometric properties of the instrument, including face validity, content validity, construct validity, internal consistency, and reliability were investigated.
Results: In the first phase, 142 items were extracted; this number was reduced to 40 items after assessing qualitative content validity. Exploratory factor analysis identified five factors: medication error, task description error, executive error, procedural error, and safety error, which made up 88% of the total variance. The Cronbach's alpha was 0.97.
Conclusions: The development of a validated nursing error tool is helpful in identifying the extent and typologies of nursing errors, and could aid in designing better prevention strategies in critical care units.
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http://dx.doi.org/10.1016/j.iccn.2021.103079 | DOI Listing |
Viruses
December 2024
1st Department of Critical Care and Pulmonary Medicine, School of Medicine, National and Kapodistrian University of Athens, "Evangelismos" General Hospital, 10676 Athens, Greece.
Hypercoagulation is central to the pathogenesis of acute and post-acute COVID-19. This prospective observational study explored whether rotational thromboelastometry (ROTEM), a method that unveils coagulation status, predicts outcomes of hospitalized patients with COVID-19 pneumonia. We investigated 62 patients using ROTEM that was conducted at enrollment, clinical deterioration, discharge and follow-up visits 1 and 3 months post-discharge.
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November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA.
Elephant endotheliotropic herpesvirus (EEHV) causes lethal hemorrhagic disease (HD) in Asian and African elephants in human care and the wild. It is the leading cause of death for young Asian elephants in North American and European zoos despite sensitive diagnostic tests and improved treatments. Thus, there is a critical need to develop an effective vaccine to prevent severe illness and reduce mortality from EEHV-HD.
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December 2024
School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin St., Houston, TX 77030, USA.
: Pediatrician recommendations are highly influential in parents' decisions to vaccinate their children against HPV. Unqualified, presumptive, and bundled recommendations (UPBRs) are associated with increased HPV vaccine uptake and are considered best practice. This study analyzes pediatricians' self-reported data to assess changes in UPBR use and the psychosocial determinants of UPBR use as a result of the implementation of a multi-level intervention, the Adolescent Vaccination Program (AVP).
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December 2024
PATH, Seattle, WA 98121, USA.
Background: Microplanning is widely recognized as a critical tool for improving immunization coverage and equity and is considered a core component of routine immunization. However, there is limited evidence on how microplans are developed and implemented and the effectiveness of microplanning. As such, this study sought to review the existing evidence on implementation and institutionalization of microplanning; identify strategies to improve microplanning; and document evidence on new approaches to microplanning, including digitally enhanced and integrated microplanning.
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