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Longitudinal evolution of the transdiagnostic prodrome to severe mental disorders: a dynamic temporal network analysis informed by natural language processing and electronic health records.
Mol Psychiatry
January 2025
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets.
View Article and Find Full Text PDFDataset linking women's maternity care experiences with hospital environment and governance in Ireland.
Data Brief
December 2024
Insight Centre for Data Analytics, of Business, College of Science and Engineering, University of Galway, Ireland.
Many scholars argue that there is a deepening crisis of trust in healthcare systems. What is not contested is the centrality of public trust in building reputational value in healthcare organisations. However, there is a dearth of research focused on better understanding how trust in healthcare institutions, and the healthcare workforce, can be sustainably cultivated.
View Article and Find Full Text PDFRacial and Ethnic (In)equity in Development of Power Through Place-Based Initiatives.
Healthcare (Basel)
December 2024
Department of Social Sciences and Health Policy, Wake Forest University, Winston-Salem, NC 27109, USA.
: Place-based initiatives (PBIs) invest in a geographic area and often build community power to improve well-being. However, there can be differences in results for different groups within a community. : In six communities, we measured differences in "power to" by race/ethnicity at two points for the first phase of the PBI Healthy Places North Carolina (HPNC) using five indicators: (1) representation in network of actors collaborating to improve health, (2) leadership attributes, (3) perceived change in attributes due to HPNC, (4) network centrality, and (5) perceived change in network ties due to HPNC.
View Article and Find Full Text PDFMentalizing the Clinical High-Risk for Psychosis Model: A Staged Intervention Framework.
Psychodyn Psychiatry
December 2024
Division of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland.
This article seeks to further specify how the mentalization-based approach may inform clinical intervention before the onset of psychosis, that is, during the stage of clinical high-risk for psychosis (CHR-P). We first review the concept of CHR-P, as well as the research evidence of the impact of early intervention. Next, we present evidence for the centrality of mentalizing as a process that may mitigate the risk for psychosis.
View Article and Find Full Text PDFAdvancing and strengthening the study of social networks in community-level dissemination and implementation research: A narrative review.
J Clin Transl Sci
October 2024
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches.
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