There is a discrepancy between the demand for mental health treatment amongst children, young people and their carers, and the capacity of the current service system to provide evidence based interventions. Innovative models of care are required to redress this discrepancy. One such model is the single session model, which provides a single or small number of solution focused sessions targeting one or two identified problems. Single session interventions have been trialled across a range of presenting concerns including child and youth mental health services. This paper provides a rationale for offering a brief focused intervention as part of a broader Child and Youth Mental Health Service, and introduces a model of how brief intervention fits within a broader system of care.
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http://dx.doi.org/10.1007/s10488-014-0563-3 | DOI Listing |
Mol Cancer
January 2025
Foshan Maternity and Child Healthcare Hospital; School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 515150, China.
Background: Intratumor-resident bacteria represent an integral component of the tumor microenvironment (TME). Microbial dysbiosis, which refers to an imbalance in the bacterial composition and bacterial metabolic activities, plays an important role in regulating breast cancer development and progression. However, the impact of specific intratumor-resident bacteria on tumor progression and their underlying mechanisms remain elusive.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
ORCHID Centre for Outcomes and Experience Research in Child Health, Illness and Disability Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Background: During COVID-19 pandemic, a rapid readjustment to continued delivery of healthcare was required. Redeployment is an intentional process to mobilise human resources by reassigning a healthcare worker to a new role or new work location, to achieve sustainable delivery of patient care. We report redeployment experiences of staff from a specialist children's hospital during first and second waves of the United Kingdom COVID-19 pandemic.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
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