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Purpose: This study aimed to (i) develop a decision tree to guide clinicians to use a core outcome set (COS) of chronic pain assessment tools specific to children and young people with cerebral palsy and (ii) pilot test the implementation of the decision tree and core set in clinical practice.
Materials And Methods: The study involved two stages. Stage one was the development of the decision tree using a focus group with clinicians. Stage two implemented the decision tree and COS in one rehabilitation service over three months. Evaluation involved an online survey with clinicians (physiotherapists, occupational therapists, nurses and doctors). The Capability, Opportunity, Motivation-Behaviour model was used to guide qualitative analysis of survey responses and identify barriers and enablers to use of the decision tree.
Results: Eight clinicians participated, completing 103 pain assessments on 82 children during the implementation period. All clinicians reported increased knowledge and confidence after using the decision tree (capability) and ease of access to assessment tools (opportunity) as primary enablers to assessing pain in the clinic. Lack of time for pain assessment was the most common barrier reported.
Conclusion: The decision tree showed promise in assisting clinicians to include pain assessment in clinical care.
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http://dx.doi.org/10.1080/09638288.2025.2551179 | DOI Listing |
J Vitreoretin Dis
September 2025
The Royal Victorian Eye and Ear Hospital, Melbourne, Australia.
To perform a cost-utility analysis comparing primary pars-plana vitrectomy (PPV) within 24 hours with primary nonsurgical vitreous tap (or tap and inject [T&I]) for the management of endophthalmitis. Retrospective cost-utility analysis using decision tree modeling. The Victorian Endophthalmitis Registry was used to model outcome probabilities and costs from a third-party payer perspective.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Plant Protection and Biomolecular Diagnosis Department, Arid Lands Cultivation Research Institute, City of Scientific Research and Technological Applications, Alexandria, Egypt.
The utilization of arbuscular mycorrhizal fungi (AMF) and spp. correlates with improved plant nutrition and the stimulation of systemic plant defenses in response to pathogen challenges. Nonetheless, studies examining the effects of AMF colonization and the foliar application of the isolate Tvd44 on viral infection are limited.
View Article and Find Full Text PDFFood Sci Biotechnol
October 2025
Department of Life Sciences, Somaiya Vidyavihar University, Vidyavihar, Mumbai, India.
Challenges such as a downward trend in cultivation and post-harvest losses lead to increased gap in cocoa bean supply and demand. This review deals with the recent AI models used in farming, processing, and supply chain of cocoa beans. Farming models viz.
View Article and Find Full Text PDFFront Public Health
September 2025
Department of Plastic and Reconstructive Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region & Research Center of Medical Sciences, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Background: Obesity is a prevalent and clinically significant complication among individuals with diabetes mellitus (DM), contributing to increased cardiovascular risk, metabolic burden, and reduced quality of life. Despite its high prevalence, the risk factors for obesity within this population remain incompletely understood. With the growing availability of large-scale health datasets and advancements in machine learning, there is an opportunity to improve risk stratification.
View Article and Find Full Text PDFFront Psychiatry
August 2025
TransLab Research Group, Department of Medical Sciences, University of Girona, Girona, Spain.
Introduction: Clinical practice guidelines (CPGs) have several limitations, namely: obsolescence, lack of personalization, and insufficient patient participation. These factors may contribute to suboptimal treatment recommendation compliance and poorer clinical outcomes. APPRAISE-RS is an adaptation of the GRADE heuristic designed to generate CPG-like treatment recommendations that are automated, updated, personalized, participatory, and explanatory using a symbolic AI approach.
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