If the optimal delivery of mental health treatment ultimately depends on examining outcome, then precise, reliable, valid, informative, and user-friendly measurement is the key to evaluating the quality and efficiency of care in clinical practice. Self-report questionnaires are a cost-effective option because they are inexpensive in terms of professional time needed for administration, and they correlate highly with clinician ratings. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we describe the reliability and validity of the Clinically Useful Depression Outcome Scale (CUDOS). The CUDOS was designed to be brief (completed in less than 3 minutes), quickly scored (in less than 15 seconds), clinically useful (fully covering the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition symptoms of major depressive disorder and dysthymic disorder), reliable, valid, and sensitive to change. We studied the CUDOS in more than 1400 psychiatric outpatients and found that the scale had high internal consistency and test-retest reliability. The CUDOS was more highly correlated with another self-report measure of depression than with measures of anxiety, substance use problems, eating disorders, and somatization, thereby supporting the convergent and discriminant validity of the scale. The CUDOS was also highly correlated with interviewer ratings of the severity of depression, and CUDOS scores were significantly different in depressed patients with mild, moderate, and severe levels of depression. The CUDOS was a valid measure of symptom change. Finally, the CUDOS was significantly associated with a diagnosis of major depressive disorder. Thus, the results of this large validation study of the CUDOS shows that it is a reliable and valid measure of depression that is feasible to incorporate into routine clinical practice.
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http://dx.doi.org/10.1016/j.comppsych.2007.10.006 | DOI Listing |
Simul Healthc
December 2024
From the Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium (L.D.M., I.V.H., L.D., W.W.); Department of Thoracic and Vascular Surgery, Ghent University Hospital, Ghent, Belgium (I.V.H., L.D.); Department of Basic and Applied Medical Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium (P.V.d.V.); Department of Emergency Medicine, Ghent University Hospital, Ghent, Belgium (P.V.d.V.); Department of Gastrointestinal Surgery, Ghent University Hospital, Ghent, Belgium (H.V., W.W.); Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (L.K.); and Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark (L.K.).
Introduction: Chest tube insertions (CTIs) have a high complication rate, prompting the training of technical skills in simulated settings. However, assessment tools require validity evidence prior to their implementation. This study aimed to collect validity evidence for assessment of technical skills in CTI on Thiel-embalmed human bodies.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
International Advanced Research Centre for Powder Metallurgy and New Materials (ARCI), IIT M Research Park, Chennai 600113, India.
The MgSb-based layered compounds exhibit exceptional thermoelectric properties over a wide temperature range and possess the potential to supplant traditional BiTe modules with reliable and economical MgSb-based thermoelectric devices, contingent upon the availability of a complementary p-type MgSb material with high thermoelectric efficiency comparable to that of n-type MgSb. We provide a simpler method involving the codoping of monovalent atoms (K and Na) at the Mg site of the MgSb lattice to improve the thermoelectric performance of p-type MgSb. K-Na codoping results in a peak power factor of around 0.
View Article and Find Full Text PDFPLoS One
January 2025
Washington University School of Medicine, NeuroGenomics and Informatics Center, St. Louis, MO, United States of America.
Case-only designs in longitudinal cohorts are a valuable resource for identifying disease-relevant genes, pathways, and novel targets influencing disease progression. This is particularly relevant in Alzheimer's disease (AD), where longitudinal cohorts measure disease "progression," defined by rate of cognitive decline. Few of the identified drug targets for AD have been clinically tractable, and phenotypic heterogeneity is an obstacle to both clinical research and basic science.
View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Applied Mathematics, University of Calcutta, Kolkata, India.
The current investigation explores tri-hybrid mediated blood flow through a ciliary annular model, designed to emulate an endoscopic environment. The human circulatory system, driven by the metachronal ciliary waves, is examined in this study to understand how ternary nanoparticles influence wave-like flow dynamics in the presence of interfacial nanolayers. We also analyze the effect of an induced magnetic field on Ag-Cu-/blood flow within the annulus, focusing on thermal radiation, heat sources, buoyancy forces and ciliary motion.
View Article and Find Full Text PDFPLoS One
January 2025
Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia.
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various machine learning approaches for predicting heart disease, but they could not able to achieve remarkable accuracy. In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators.
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