This report provides data on symptom levels by using group means as well as categories of clinical relevance as they change over the course of treatment and also examines change "beyond symptoms" as levels of adaptive functioning. This approach allows a more comprehensive analysis of change in a series of patients with pathological grief reactions treated with brief dynamic psychotherapy. The different perspectives on outcome of the patient, the evaluating clinician, the treating clinician, and independent judges are compared. The findings from all perspectives indicate that major symptom relief occurred in the majority of patients, with less change in adaptive abilities.
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http://dx.doi.org/10.1176/ajp.143.5.582 | DOI Listing |
Sci Total Environ
January 2025
Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland; dendrolab.ch, Department of Earth Sciences, University of Geneva, Geneva, Switzerland; Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Switzerland.
Over recent decades, global warming has led to sustained glacier mass reduction and the formation of glacier lakes dammed by potentially unstable moraines. When such dams break, devastating Glacial Lake Outburst Floods (GLOFs) can occur in high mountain environments with catastrophic effects on populations and infrastructure. To understand the occurrence of GLOFs in space and time, build frequency-magnitude relationships for disaster risk reduction or identify regional links between GLOF frequency and climate warming, comprehensive databases are critically needed.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
J Med Internet Res
January 2025
Chronic Disease Epidemiology, Population and Public Health, Pennington Biomedical Research Center, Baton Rouge, LA, United States.
Background: Electronic health records (EHRs) facilitate the accessibility and sharing of patient data among various health care providers, contributing to more coordinated and efficient care.
Objective: This study aimed to summarize the evolution of secondary use of EHRs and their interoperability in medical research over the past 25 years.
Methods: We conducted an extensive literature search in the PubMed, Scopus, and Web of Science databases using the keywords Electronic health record and Electronic medical record in the title or abstract and Medical research in all fields from 2000 to 2024.
J Med Internet Res
January 2025
Department of Pediatrics, Medical School, University of Michigan, Ann Arbor, MI, United States.
Background: The mental health crisis among college students intensified amid the COVID-19 pandemic, suggesting an urgent need for innovative solutions to support them. Previous efforts to address mental health concerns have been constrained, often due to the underuse or shortage of services. Mobile health (mHealth) technology holds significant potential for providing resilience-building support and enhancing access to mental health care.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
Laboratoire AGEIS, Université Grenoble Alpes, La Tronche Cedex, France.
Background: Although agricultural health has gained importance, to date, much of the existing research relies on traditional epidemiological approaches that often face limitations related to sample size, geographic scope, temporal coverage, and the range of health events examined. To address these challenges, a complementary approach involves leveraging and reusing data beyond its original purpose. Administrative health databases (AHDs) are increasingly reused in population-based research and digital public health, especially for populations such as farmers, who face distinct environmental risks.
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