Objective: To further select the items based on the pre-test version of quality of life scale in patients with viral myocarditis.
Methods: Totally 100 patients with viral myocarditis were enrolled in this study. Methodologies including frequency distribution, discrete trend, t-test, Cronbach's α coefficient, correlation coefficient and factor analysis were applied to select items from different perspectives.
Results: A total of 17 items were selected by frequency distribution method from the perspective of central tendency, 15 items were selected by discrete trend method from the perspective of sensitivity, 16 items were selected by t-test method from the perspective of sensitivity and discrimination, 16 items were selected by Cronbach's α coefficient method from the perspective of internal consistency, 12 items were selected by correlation coefficient method from the perspective of representation and independence, and 18 items were selected by factor analysis method from the perspective of representation.
Conclusion: Item selection of quality of life scale in patients with viral myocarditis was successfully conducted based on the clinical epidemiological data using a variety of statistical methods.
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http://dx.doi.org/10.3881/j.issn.1000-503X.2012.02.004 | DOI Listing |
JAMA Netw Open
January 2025
Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (IMHAY), Santiago, Chile.
Importance: Mental health stigma is a considerable barrier to help-seeking among young people.
Objective: To systematically review and meta-analyze randomized clinical trials (RCTs) of interventions aimed at reducing mental health stigma in young people.
Data Sources: Comprehensive searches were conducted in the CENTRAL, CINAHL, Embase, PubMed, and PsycINFO databases from inception to February 27, 2024.
J Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
Objective: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness.
Materials And Methods: We conducted a systematic literature review and a meta-analysis. The report was created in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 analysis.
Vet Med Sci
January 2025
College of Veterinary Medicine and Animal Science, Samara University, Samara, Ethiopia.
Background: Lack of knowledge regarding zoonotic transmission, prevention and control measures is a potential high risk for the occurrence of zoonotic diseases.
Objective: The study aimed to assess knowledge, attitude and practices of dairy farm participants concerning zoonoses.
Animals: A cross-sectional study was conducted from March to August 2022 in and around Sodo town, using a questionnaire among dairy farm participants (n = 123).
Int Forum Allergy Rhinol
January 2025
Department of Otorhinolaryngology-Head & Neck Surgery, Singapore General Hospital, Singapore, Singapore.
Background: Both anxiety and depression are prevalent among patients with chronic rhinosinusitis (CRS) and associated with poorer outcomes following treatment for CRS. However, the impact of treatment on CRS on mental health remains uncertain. Therefore, this study seeks to evaluate if surgical intervention for CRS may alleviate comorbid depression and anxiety.
View Article and Find Full Text PDFMalar J
January 2025
Department of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana.
Background: Acceptability of malaria chemoprevention interventions by caregivers is crucial for overall programme success. This study assessed coverage and acceptability of Seasonal Malaria Chemoprevention (SMC) in selected communities in the Northern part of Ghana.
Methods: An analytical cross-sectional design was conducted from "July 23rd to August 4th, 2020-a 12-day period that covered 5 days of the first SMC implementation cycle and 7 days post-implementation.
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