Objective: Evaluate the internal consistency and temporal stability of advance directives (ADs) generated by an interactive, online computer program.
Methods: 33 participants completed the program at three visits, 2 weeks apart. Agreement rates were calculated for the component of the AD. The test-retest method was used to examine the temporal stability of the component which contains five clinical scenarios.
Results: remained stable with 94% selecting the identical response at each visit. For the scale significant variations in test-retest correlations existed (ie, ρ=0.32-0.78, between time points 1 and 2); however within scenario, correlations did not significantly vary between time points. Temporal stability was lower in the scale compared with s (average ρ=0.59, between time points 1 and 2; and ρ=0.75, between time points 2 and 3).
Conclusions: ADs generated by an online decision aid demonstrate good temporal stability, with highest stability for and moderate stability for regarding medical treatments in specific clinical scenarios. Internal consistency for wish for treatment across all time points and scenarios was high (Cronbach α>0.90).
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http://dx.doi.org/10.1136/bmjspcare-2014-000814 | DOI Listing |
Sci Rep
January 2025
School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. Although predicting and forecasting the propagation of COVID-19 are valuable, they nevertheless present an enormous challenge.
View Article and Find Full Text PDFSemin Oncol Nurs
January 2025
Pelvic Floor Diseases Center, West China Tianfu Hospital, Sichuan University, Chengdu, China. Electronic address:
Objectives: To identify composition, predictors, outcomes and stability of symptom clusters in brain tumor patients and to examine assessment tools and statistical methods.
Methods: The PubMed, Web of Science, Embase, CINAHL, and Cochrane Library databases were systematically searched. Two reviewers independently screened the titles, abstracts and full texts.
A risk assessment framework was developed to evaluate the zoonotic potential of avian influenza (AI), focusing on virus mutations linked to phenotypic traits related to mammalian adaptation identified in the literature. Virus sequences were screened for the presence of these mutations and their geographical, temporal and subtype-specific trends. Spillover events to mammals (including humans) and human seroprevalence studies were also reviewed.
View Article and Find Full Text PDFBMC Vet Res
January 2025
Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, Warsaw, 02-787, Poland.
Background: Actinobacillus pleuropneumoniae is a prevalent respiratory pathogen causing substantial economic losses in swine production worldwide. The bacterium's ability to rapidly develop antimicrobial resistance (AMR) poses a significant challenge to effective treatment and control. In Poland, limited data on A.
View Article and Find Full Text PDFWe created and validated the Neuro-Score, a specific scale to detect and monitor cognitive impairment, including mild stages, in kidney or liver transplant recipients. A qualitative study was conducted to define a preliminary set of 62 items. Item reduction was performed using exploratory factor analysis.
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