Purpose: To describe pilot testing of Quality of Diagnoses, Interventions and Outcomes (Q-DIO), an instrument to measure quality of nursing documentation.
Design: Instrument testing was performed using a random, stratified sample of 60 nursing documentations representing hospital nursing with and without implementation of standardized nursing language (30 for both strata) in a Swiss General Acute Hospital.
Methods: Internal consistency and intrarater and interrater reliabilities were tested. Through item analyses, the grades of difficulty and the discrimination validity of items were evaluated.
Findings: Internal consistency of nursing diagnoses as process produced Cronbach's alpha .83; nursing diagnoses as product .98; nursing interventions .90; and nursing-sensitive patient outcomes .99. With Kappas of .95, the intrarater and interrater reliabilities were good. Criteria for the grades of difficulty of items and discrimination validity were well met. The results of this study suggest that Q-DIO is a reliable instrument to measure the documentation quality of nursing diagnoses, interventions, and outcomes. Further testing of Q-DIO in other settings is recommended.
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http://dx.doi.org/10.1111/j.1744-618X.2007.00075.x | DOI Listing |
Am J Sports Med
January 2025
Sports Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Background: Anterior glenoid bone defects significantly influence surgical outcomes in shoulder instability cases. Various measurement methods based on 3-dimensional computed tomography (3D-CT) have been developed. Recently, the simple linear formula method, which establishes a correlation between glenoid height and width, has emerged as a promising technique.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Nursing, China Medical University, Shenyang, Liaoning, China.
Purpose: To conduct a scoping review of the related research on cognitive frailty (CF) in maintenance hemodialysis (MHD) patients, so as to provide a basis for early diagnosis, treatment and intervention of CF in MHD patients.
Methods: Utilizing a scoping review approach, we searched PubMed, Embase, The Cochrane Library, Web of Science, CINAHL, the China Biological Medicine Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu (VIP) for literature on CF in MHD patients up to October 20, 2024. Two researchers conducted independent screening and data extraction of the literature's fundamental characteristics.
Int J Ment Health Nurs
February 2025
Department of Nursing, Haliç University Faculty of Health Sciences, İstanbul, Turkey.
This descriptive study examined the mental health literacy levels and attitudes towards seeking psychological help among university students. The study was conducted with 317 students from a university in Türkiye. Data were collected via an online platform using a Personal Information Form, the Mental Health Literacy Scale (MHLS) and the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form (ATSPPHS-SF).
View Article and Find Full Text PDFOxf Med Case Reports
January 2025
Nursing Department Communicable Diseases Center, Hammad Medical Corporation, Doha 3050, Qatar.
Acrodysostosis (ADO) is a rare form of peripheral dysostosis characterized by skeletal malformations, growth delays, short stature, and distinctive facial features caused by in part by underdeveloped (hypoplasia) of facial bones. Skeletal dysplasia is specific and includes disproportional short stature with short extremities and brachydactyly, multiple cone-shaped epiphyses, scoliosis or kyphosis with spinal stenosis, and advanced bone maturation. Herein, we are highlighting a case that presented with clinical features such as brachydactyly, delayed milestone, growth delay, muscle weakness and nasal hypoplasia.
View Article and Find Full Text PDFFront Artif Intell
January 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Traditional Chinese medicine (TCM) has long utilized tongue diagnosis as a crucial method for assessing internal visceral condition. This study aims to modernize this ancient practice by developing an automated system for analyzing tongue images in relation to the five organs, corresponding to the heart, liver, spleen, lung, and kidney-collectively known as the "five viscera" in TCM. We propose a novel tongue image partitioning algorithm that divides the tongue into four regions associated with these specific organs, according to TCM principles.
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