From 1995 onwards, a child and adolescent mental health service (CAMHS) applied Senge's learning organisation model. This review compared service performance with that of peer services 5 years later and explored whether any differences were associated with the application of this model. The comparison methodology used quantitative analysis of external data from the Department of Human Services, together with qualitative analysis of material including interviews with CAMHS directors and service managers. Results showed high evaluation activity and high quality, efficiency and efficacy of care compared with other services. Several restraints to the optimal application of the model were identified, including inadequate training of new managers, service overload, major external organisational change and limited investment in information systems. Other outcomes are discussed.
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http://dx.doi.org/10.1071/ah060181 | DOI Listing |
Front Public Health
December 2024
The Heinz Endowments, Pittsburgh, PA, United States.
Introduction: Research-practice-policy partnerships are shifting the academic research paradigm toward collaboration and research-informed action at community and policy levels. In this case study, researchers partnered with philanthropic foundations to actualize data findings from a rigorous, longitudinal study.
Context: In 2016, a survey of post-9/11 military veterans began assessing veterans' well-being in key domains: health, vocation (education and employment), finances, and social relationships.
AAPS J
January 2025
Department of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India.
Artificial Intelligence (AI) and AI-driven technologies are transforming industries across the board, with the pharmaceutical sector emerging as a frontrunner beneficiary. This article explores the growing impact of AI and Machine Learning (ML) within pharmaceutical Regulatory Affairs, particularly in dossier preparation, compilation, documentation, submission, review, and regulatory compliance. By automating time-intensive tasks, these technologies streamline workflows, accelerate result generation, and shorten the product approval timeline.
View Article and Find Full Text PDFGenetics
January 2025
Dept. of Genetics, Stanford University, Stanford CA 94305-5120, USA.
The Candida Genome Database (CGD; www.candidagenome.org) is unique in being both a model organism database and a fungal pathogen database.
View Article and Find Full Text PDFPsychophysiology
January 2025
Consiglio Nazionale delle Ricerche, Istituto di Neuroscienze, Parma, Italy.
Attention-deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, a data-driven approach that identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies that applied MS analyses to resting-state and task-based brain activity in individuals with ADHD.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce "genome-wide association neural networks (GWANN)" a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer's disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls.
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