Objective: Collaborative care for depression results in symptom reduction when compared with usual care. No studies have systematically compared collaborative care outcomes between veterans treated at Veterans Affairs (VA) clinics and civilians treated at publicly funded federally qualified health centers (FQHCs) after controlling for demographic and clinical characteristics.
Methods: Data from two randomized controlled trials that used a similar collaborative care intervention for depression were combined to conduct post hoc analyses (N=759). The Telemedicine-Enhanced Antidepressant Management intervention was delivered in VA community-based outpatient clinics (CBOCs), and the Outreach Using Telemedicine for Rural Enhanced Access in Community Health intervention was delivered in FQHCs. Multivariate logistic regression was used to determine whether veteran status moderated the effect of the intervention on treatment response (>50% reduction in symptoms).
Results: There was a significant main effect for intervention (odds ratio [OR]=5.23, p<.001) and a moderating effect for veteran status, with lower response rates among veterans compared with civilians (OR=.21, p=.01). The addition of variables representing medication dosage and number of mental health and general health appointments did not influence the moderating effect. A sensitivity analysis stratified by gender found a significant moderating effect of veteran status for men but not women.
Conclusions: Veteran status was a significant moderator of collaborative care effectiveness for depression, indicating that veterans receiving collaborative care at a CBOC are at risk of nonresponse. Unmeasured patient- or system-level characteristics may contribute to poorer response among veterans.
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http://dx.doi.org/10.1176/appi.ps.201700067 | DOI Listing |
Int J Emerg Med
January 2025
Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: The Basic Emergency Care (BEC) course was created by the World Health Organization (WHO) in collaboration with the International Committee of the Red Cross (ICRC) and the International Federation for Emergency Medicine (IFEM) to train frontline providers in low-resource settings. This study aims to evaluate long-term retention and maintenance of emergency care knowledge and confidence among University of Nairobi School of Medicine graduates after completing the BEC course.
Methods: This longitudinal, prospective, comparative study was conducted with recent graduates of the University of Nairobi School of Medicine from October 2021 to May 2023.
Lancet Digit Health
January 2025
Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address:
Large language models (LLMs) offer promising applications in mental health care to address gaps in treatment and research. By leveraging clinical notes and transcripts as data, LLMs could improve diagnostics, monitoring, prevention, and treatment of mental health conditions. However, several challenges persist, including technical costs, literacy gaps, risk of biases, and inequalities in data representation.
View Article and Find Full Text PDFBr J Anaesth
January 2025
Perioperative Outcomes and Informatics Collaborative, Winston-Salem, NC, USA; Outcomes Research Consortium, Houston, TX, USA; Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Most postoperative deaths occur on general wards, often linked to complications associated with untreated changes in vital signs. Monitoring in these units is typically intermittent checks each shift or maximally every 4-6 h, which misses prolonged periods of subtle changes in physiology that can herald a critical downstream event. Continuous monitoring of vital signs is therefore intuitively necessary for patient safety.
View Article and Find Full Text PDFSaudi Med J
January 2025
From the Department of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, Kingdom of Saudi Arabia.
Personalized medicine is a healthcare approach that designs treatment plans of each patient, considering genetic, environmental, and lifestyle factors. This model leverages genomic information, advanced diagnostics, and data analytics to predict disease risk, optimize prevention strategies, and provide customized treatments. In Saudi Arabia, personalized medicine is gaining momentum, driven by the country's Vision 2030 initiative, which aims to transform the healthcare sector by integrating advanced medical technologies and improving healthcare delivery.
View Article and Find Full Text PDFPlacenta
December 2024
Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. Electronic address:
Introduction: The placenta supports the metabolic and respiratory requirements of the fetus. Placental disorders, caused by various pathophysiological mechanisms, may result in adverse pregnancy and neonatal outcomes. Knowledge gaps remain in the understanding, reporting and interpretation of placental pathology relating to clinical conditions.
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