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Function: require_once
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Filename: controllers/Detail.php
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Function: _error_handler
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Function: _error_handler
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Function: strpos
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Function: insertAPISummary
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Filename: helpers/my_audit_helper.php
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Function: str_replace
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Function: formatAIDetailSummary
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Filename: controllers/Detail.php
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Substance use is a risk behavior that has been associated with adverse mental health outcomes in adolescence. The aim of this study was to determine the relation between behavioral problems, emotional problems, and substance use as well as the mediating role of contextual problems and sensation seeking in this relation. A cross-sectional study of 2277 adolescents from Northern Chile was conducted. The System for the Evaluation of Children and Adolescents (SENA) was used to assess substance use, contextual problems, sensation seeking, and emotional and behavioral problems. Through a mediational model, it was observed that substance use has a positive indirect effect on emotional and behavioral problems when both contextual problems and sensation seeking act as mediating variables. An indirect effect of substance use on contextual problems with sensation seeking as a mediator was also observed. The results suggests that context and sensation seeking are a relevant source of information in understanding adolescents and their propensity to use drugs. Interventions based on addressing contextual problems (problems with school, peers, and family) and enhancing personal resources should be implemented in order to reduce substance use in adolescents as well as the consequences it can generate in the short, medium, and long term.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871919 | PMC |
http://dx.doi.org/10.3390/ijerph19042262 | DOI Listing |
BMC Public Health
December 2024
Medical Clinic Department, Federal University of Paraná (UFPR), Curitiba, Brazil.
Background: Disability insurance represents a significant economic burden within Brazil's social security system, yet long-term cost trends across disease groups remain understudied, hindering informed prevention and management strategies. Hospital costs, which account for approximately 40% of direct healthcare expenses, were selected as a comparative reference to contextualize the economic burden of disability insurance.
Objective: This study analyzes long-term cost trends of newly granted disability insurance by disease groups in Brazil, comparing them to public health system hospitalization expenses.
BMC Med Educ
December 2024
Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Background: Learner agency involves students actively engaging in their learning process and shaping their educational experiences through autonomy, self-regulation, and decision-making. In professional education, particularly within health professions, learner agency is critical for fostering adaptability and lifelong learning. This scoping review explores how learner agency, alongside concepts such as self-regulated learning and self-directed learning, is addressed in undergraduate dental education, aiming to understand its implications and strategies for enhancing student agency in this context.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Robert Bosch Center for Data Science and Artificial Intelligence, Indian Institute of Technology Madras, Chennai, India.
We study a contextual bandit setting where the agent has access to causal side information, in addition to the ability to perform multiple targeted experiments corresponding to potentially different context-action pairs-simultaneously in one-shot within a budget. This new formalism provides a natural model for several real-world scenarios where parallel targeted experiments can be conducted and where some domain knowledge of causal relationships is available. We propose a new algorithm that utilizes a novel entropy-like measure that we introduce.
View Article and Find Full Text PDFDigit Health
December 2024
School of Computer Science, University of Birmingham, Birmingham, UK.
Objective: The study aims to present an active learning approach that automatically extracts clinical concepts from unstructured data and classifies them into explicit categories such as Problem, Treatment, and Test while preserving high precision and recall and demonstrating the approach through experiments using i2b2 public datasets.
Methods: Initially labeled data are acquired from a lexical-based approach in sufficient amounts to perform an active learning process. A contextual word embedding similarity approach is adopted using BERT base variant models such as ClinicalBERT, DistilBERT, and SCIBERT to automatically classify the unlabeled clinical concept into explicit categories.
Health Serv Manage Res
December 2024
Department of Management, Shiraz University, Shiraz, Iran.
Background: Traditional hospital management responses during the coronavirus disease 2019 (COVID-19) pandemic proved ineffective, particularly considering the pre-existing challenges in healthcare systems. The study examines hospital management challenges during the COVID-19 pandemic, transforming their lived experiences into a conceptual approach to prevent repetition and benefit health planners and policymakers in future crises and normal times.
Methods: This qualitative study utilized the grounded theory methodology, conducting in-depth interviews with 12 hospital administrators from seven major referral hospitals in Shiraz, Bushehr, and Tehran, focusing on COVID-19 patients' complex conditions.
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