The worldwide burden of mental disorders is considerable, and on the rise, putting pressure on health care systems. Current reforms aim to improve the efficiency of mental health care systems by increasing service integration in communities and strengthening primary mental health care. In this context, mental health care professionals (MHPs) are increasingly required to work on interdisciplinary teams in a variety of settings. Little is known, however, about the profiles of MHPs in relation to their perceived work role performance. MHPs in Quebec (N = 315) from four local service networks completed a self-administered questionnaire eliciting information on individual and team characteristics, as well as team processes and states. Profiles of MHPs were created using a two-step cluster analysis. Five profiles were generated. MHPs belonging to profiles labelled senior medical outpatient specialized care MHPs and senior psychosocial outpatient specialized care MHPs perceived themselves as more performing than MHPs in other profiles. The profile labelled low-collaborators was significantly less performing than all other groups. Two other profiles were identified, positioned between the aforementioned groups in terms of the perceived performance of MHPs: the junior primary care MHPs and the diversified specialized care MHPs. Seniority within the team, delivering specialized type of care, and positive team processes were all features associated with profiles where perceived work performance was high. Overall, this study supports the case for initiatives aimed at improving stability and interdisciplinary collaboration in health teams, especially in primary care.
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http://dx.doi.org/10.1007/s11126-017-9500-4 | DOI Listing |
BMC Health Serv Res
January 2025
Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background: Cancer requires interdisciplinary intersectoral care. The Care Coordination Instrument (CCI) captures patients' perspectives on cancer care coordination. We aimed to translate, adapt, and validate the CCI for Germany (CCI German version).
View Article and Find Full Text PDFBreast Cancer Res
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Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Background: Epidemiological studies associate an increase in breast cancer risk, particularly triple-negative breast cancer (TNBC), with lack of breastfeeding. This is more prevalent in African American women, with significantly lower rate of breastfeeding compared to Caucasian women. Prolonged breastfeeding leads to gradual involution (GI), whereas short-term or lack of breastfeeding leads to abrupt involution (AI) of the breast.
View Article and Find Full Text PDFChin Med
January 2025
Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Background: This research aims to explore the anti-obesity potential of Wu-Mei-Wan (WMW), particularly its effects on adipose tissue regulation in obese mice induced by a high-fat diet (HFD). The study focuses on understanding the role of heat shock factor 1 (HSF1) in mediating these effects.
Methods: HFD-induced obese mice were treated with WMW.
BMC Health Serv Res
January 2025
Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK.
Background: Given the increasing recognition of the value of greater integration of physical and mental health services for children and young people, we aimed to evaluate preferences among parents for the characteristics associated with integrated health service provision for two conditions (eating disorders, functional symptom disorders).
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Crit Care
January 2025
División de Terapia Intensiva, Hospital Juan A. Fernández, Buenos Aires, Argentina.
The advancements in cardiovascular imaging over the past two decades have been significant. The miniaturization of ultrasound devices has greatly contributed to their widespread adoption in operating rooms and intensive care units. The integration of AI-enabled tools has further transformed the field by simplifying echocardiographic evaluations and enhancing the reproducibility of hemodynamic measurements, even for less experienced operators.
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