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The value of programme logic models as a tool for planning, evaluation, and communication is well recognised. However, the value of its development is less discussed. In this paper, we describe how we used a combination of literature review and organisational stakeholder consultations to develop a logic model for a telehealth programme for children in rural and remote Australia. Our aim was to use this process to further embed the programme within its implementing organisation, and by so doing to promote its sustainability and scale-up; a major challenge of telehealth programmes, especially those involving reorganisation of processes. Our efforts to describe the components of this complex intervention on the one-page logic model allowed for debates and discussions within the implementing organisation which then facilitated an improved cross-organisational understanding of the telehealth programme; a real time face-to-face (video-link) service which requires the reorganisation of existing service delivery platforms. The process helped to embed the telehealth programme within existing services. We conclude that stakeholder engagement in developing logic models can transform them from being only a tool that provides the picture of why and how a programme works, to one that plays a role in embedding programmes within implementing organisations.
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http://dx.doi.org/10.1177/2055207619826468 | DOI Listing |
Pol Merkur Lekarski
September 2025
BUKOVINIAN STATE MEDICAL UNIVERSITY, CHERNIVTSI, UKRAINE.
Objective: Aim: To find out new objective criteria for laser histological differential diagnosis of thyroid pathology based on the use of a digital method of layer-by-layer polarization-interference mapping of polarization ellipticity maps of microscopic images of native histological sections of thyroid biopsy.
Patients And Methods: Materials and Methods: Four groups of patients were studied: control group 1 - healthy donors (51 patients); study group 2 - patients with nodular goiter (51 patients); study group 3 - patients with autoimmune thyroiditis (51 patients); study group 4 - patients with papillary cancer (51 patients). Methods used: polarization-interference, statistical.
mSphere
September 2025
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Control of intracellular pathogens is a critical element of host defense. Defining the molecular mechanisms by which the host restricts or eliminates these pathogens may inform the development of novel immunotherapeutics and antimicrobial strategies, particularly in the face of rising antibiotic resistance. In parallel, understanding how pathogens subvert these immune responses may yield new approaches to disrupt virulence rather than viability.
View Article and Find Full Text PDFFront Psychol
August 2025
Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Psychology's crises (e.g., replicability, generalisability) are currently believed to derive from Questionable Research Practices (QRPs), thus scientific misconduct.
View Article and Find Full Text PDFDriven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Maths and Computer Science, Faculty of Science, University of Kinshasa, Kinshasa, The Democratic Republic of the Congo.
Reliable and timely fault diagnosis is critical for the safe and efficient operation of industrial systems. However, conventional diagnostic methods often struggle to handle uncertainties, vague data, and interdependent multi-criteria parameters, which can lead to incomplete or inaccurate results. Existing techniques are limited in their ability to manage hierarchical decision structures and overlapping information under real-world conditions.
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