Background: Diagnostic accuracy studies are important to identify the best set of defining characteristics for a given nursing diagnosis. The reliability of nursing inferences can be increased by using clinical indicators with high prediction capacity helping nurses to be more accurate in their clinical practice.
Objective: To clinically validate the nursing diagnosis Decreased diversional activity engagement in adult patients with diabetes.
Method: A diagnostic accuracy study with a cross-sectional design was carried out patients with type 2 diabetes. A latent class model with random effects was used to measure the sensitivity and specificity.
Results: The diagnosis of Decreased diversional activity engagement was present in 62.2% of the patients. The defining characteristics with high sensitivity (good indicators for confirmation) were discontent with situation, physical deconditioning, and altertion in mood. Boredom, flat affect, discontent with situation, and frequent naps were the defining characteristics with the highest specificity values. These factors are considered good integrating components of the diagnosis under investigation in patients with diabetes.
Conclusion: The nursing diagnosis decreased diversional activity engagement is frequent in patients with diabetes, and discontent with situation can be considered a good predictor of its occurrence due to its high values of specificity and sensitivity.
Impact: The use of accurate clinical indicators in the diagnostic reasoning of nurses contributes to the achievement of outcomes centered on the patient's human responses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/10376178.2023.2165956 | DOI Listing |
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Front Microbiol
December 2024
Department of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Background: Previous microbiological investigations have demonstrated a significant correlation between complex (CKC) infection and mastitis. Recent studies have confirmed the existence of the CKC, with () identified as the primary infectious agent. Examining the incidence of CKC in cases of severe non-lactational mastitis, alongside the clinical characteristics of infected patients, as well as evaluating the drug sensitivity testing protocols for CKC, can provide a more robust foundation for the diagnosis and treatment of CKC infections.
View Article and Find Full Text PDFBackground: People with Alzheimer's disease (AD) exhibit varying clinical trajectories. There is a need to predict future AD-related outcomes such as morbidity and mortality using clinical profile at the point of care.
Objective: To stratify AD patients based on baseline clinical profiles (up to two years prior to AD diagnosis) and update the model after AD diagnosis to prognosticate future AD-related outcomes.
Home Healthc Now
January 2025
Diana R. Mager, DNP, RN-BC, is a Professor, Fairfield University Egan School of Nursing, Fairfield, CT and a Per Diem Visiting Nurse.
Deep vein thrombosis (DVT) is a commonly occurring problem-causing tissue damage, pain, immobility, and even death. This article describes the risk factors and pathophysiology associated with DVT; related signs, symptoms, and complications; diagnosing and treating DVT; and the role of the home care clinician when a patient suffers from this potentiallly debilitating and life-threatening condition.
View Article and Find Full Text PDFBMC Nurs
January 2025
Nursing Administration Department, Faculty of Nursing, Ain Shams University, Cairo, Egypt.
Background: Negotiating is a common occurrence and a significant part of everyday tasks for head nurses. The ability of the head nurse to effectively negotiate is a crucial management tool for work management in healthcare facilities.
Aim: The present study aimed to assess the effect of negotiation skills training program on head nurses' knowledge and behavior.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!