Objective: To assess the prevalence of bipolarity and its impact on clinical course, psychiatric consultants' diagnostic impressions and respective treatment outcomes were examined for patients with depression who were treated in a collaborative care model (CoCM) of psychiatric consultation.
Methods: Electronic records for 1,476 patients were reviewed for the presence of a mood disorder, which yielded 641 patients with complete data on several measures: the Composite International Diagnostic Interview, version 3.0 (CIDI); a questionnaire eliciting data on non-mania-related markers of bipolar disorder (family history, age of onset, course of illness, response to treatment); consultants' diagnostic impressions; and Patient Health Questionnaire-9 (PHQ-9) scores before and after consultation.
Results: Of referred patients, 97% were screened for bipolar disorder. A smooth distribution of scores on the CIDI was observed. Patients were divided into four groups on the basis of their CIDI scores (≥7, positive, or <7, negative) and on the consultant's recorded Impression (positive or negative for bipolarity). Of the study sample, 21% were CIDI positive (≥7), and 35% were Impression positive (sufficient bipolarity to guide treatment recommendations). All groups demonstrated equivalent decreases in PHQ-9 scores in the 6 months since consultation, including the potentially overdiagnosed group (CIDI negative, impression positive), which comprised 22% of the study sample.
Conclusions: Universal screening for bipolarity in primary care is feasible in CoCM programs. Interpreting the data dimensionally is logical on the basis of the smooth distribution of CIDI scores. Such screening will yield high rates of bipolar disorder, much higher than previously reported. Offering treatment recommendations based on an impression of bipolarity to patients with negative CIDI results (<7) was not associated with outcomes worse than experienced by all other consultation patients. Multiple explanations of the latter finding are possible, warranting additional study.
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http://dx.doi.org/10.1176/appi.ps.202000024 | DOI Listing |
BMC Nurs
January 2025
Research Group Nursing Diagnostics, Family Care & Family Nursing, School of Nursing, Hanze University of Applied Sciences, Petrus Driessenstraat 3, Groningen, 9714 CA, The Netherlands.
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View Article and Find Full Text PDFInt 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.
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