Validly characterizing youth mental health phenomena requires evidence-based approaches to assessment. An evidence-based assessment cannot rely on a "gold standard" instrument but rather, batteries of instruments. These batteries include multiple modalities of instrumentation (e.g., surveys, interviews, performance-based tasks, physiological readings, structured clinical observations). Among these instruments are those that require soliciting reports from multiple : People who provide psychometrically sound data about youth mental health (e.g., parents, teachers, youth themselves). The January 2011 issue of the () included a Special Section devoted to the most common outcome of multi-informant assessments of youth mental health, namely discrepancies across informants' reports (i.e., ). The 2011 Special Section revolved around a critical question: Might informant discrepancies contain data relevant to understanding youth mental health (i.e., )? This Special Issue is a "sequel" to the 2011 Special Section. Since 2011, an accumulating body of work indicates that informant discrepancies often contain domain-relevant information. Ultimately, we designed this Special Issue to lay the conceptual, methodological, and empirical foundations of guidelines for integrating multi-informant data when informant discrepancies contain domain-relevant information. In this introduction to the Special Issue, we briefly review the last 12 years of research and theory on informant discrepancies. This review highlights limitations inherent to the most commonly used strategies for integrating multi-informant data in youth mental health. We also describe contributions to the Special Issue, including articles about informant discrepancies that traverse multiple content areas (e.g., autism, implementation science, measurement validation, suicide).
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http://dx.doi.org/10.1080/15374416.2022.2158843 | DOI Listing |
Environ Technol
January 2025
Centre for Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Biokinetic models can optimise pollutant degradation and enhance microbial growth processes, aiding to protect ecosystem protection. Traditional biokinetic approaches (such as Monod, Haldane, etc.) can be challenging, as they require detailed knowledge of the organism's metabolism and the ability to solve numerous kinetic differential equations based on the principles of micro, molecular biology and biochemistry (first engineering principles) which can lead to discrepancies between predicted and actual degradation rates.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFInt J Gynecol Cancer
January 2025
Subdirección de Investigación Básica, Instituto Nacional de Cancerología, Tlalpan, Mexico City, Mexico. Electronic address:
Objective: Our retrospective study aimed to investigate the role of computed tomography (CT) using both the tomographic Fagotti index and the Sugarbaker peritoneal cancer index (PCI) in predicting the feasibility of optimal interval debulking surgery in epithelial ovarian cancer.
Methods: Patients with advanced ovarian cancer treated in our institution who were eligible for interval debulking surgery were identified and included in the study. A retrospective image collection was operated, and CT scan evaluations were conducted by 2 independent radiologists to establish both scores (Fagotti index and Sugarbaker PCI).
HRB Open Res
January 2025
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Background: Delirium and cognitive impairment are common in hip fracture populations and are associated with significant adverse patient outcomes. National hip fracture registries facilitate improvements in patient outcomes and care quality, such as reduced mortality and the development of specialist multidisciplinary services. However, there is substantial variation in the data collected and reported in relation to delirium and cognition, which impedes international comparison and may reduce quality of care.
View Article and Find Full Text PDFAIDS Care
January 2025
Department of Psychiatry and Neurobehavioral Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
By consistently taking medication, people with HIV (PWH) can attain viral suppression, improving their health and reducing transmission risk. PositiveLinks (PL) is a clinic-deployed mobile platform designed to improve engagement in care for PWH by enabling them to track their medications, connect with peers, and communicate with providers. This project investigated the experience of PL users who had recent periods of viral non-suppression to understand how these high-risk episodes can be predicted and prevented.
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