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Enabling participation in community-dwelling children and young people with acquired brain injuries and their families: a theory-based, evidence-based and person-based approach to intervention development.
BMJ Open
December 2024
Centre for Rehabilitation and Ageing Research, University of Nottingham, Nottingham, UK.
Objective: To codesign and develop an intervention to promote participation and well-being in children and young people (CYP) with acquired brain injury (ABI) and family caregivers.
Design: A complex intervention development study including a scoping review, mixed-methods study, co-design workshop and theoretical modelling.
Setting: Community-dwelling participants in one geographical region of the UK.
The Paradigm Shift From Patient to Health Consumer: 20 Years of Value Assessment in Health.
J Med Internet Res
January 2025
Virginia Commonwealth University, Richmond, VA, United States.
Health care is undergoing a "revolution," where patients are becoming consumers and armed with apps, consumer review scores, and, in some countries, high out-of-pocket costs. Although economic analyses and health technology assessment (HTA) have come a long way in their evaluation of the clinical, economic, ethical, legal, and societal perspectives that may be impacted by new technologies and procedures, these approaches do not reflect underlying patient preferences that may be important in the assessment of "value" in the current value-based health care transition. The major challenges that come with the transformation to a value-based health care system lead to questions such as "How are economic analyses, often the basis for policy and reimbursement decisions, going to switch from a societal to an individual perspective?" and "How do we then assess (economic) value, considering individual preference heterogeneity, as well as varying heuristics and decision rules?" These challenges, related to including the individual perspective in cost-effectiveness analysis (CEA), have been widely debated.
View Article and Find Full Text PDFDeveloping an adaptive paediatric intensive care unit platform trial with key stakeholders: a qualitative study.
BMJ Open
January 2025
Institute of Population Health, Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Objectives: Platform trials were used successfully in adult populations during the COVID-19 pandemic. By testing multiple treatments within a single trial, platform trials can help identify the most effective treatments (and any interactions between treatments) for patients more quickly and with less burden for patients and their families. The aim of this qualitative research was to inform the design of the first adaptive platform trial for paediatric intensive care in the UK with young people, parents/carers and paediatric intensive care unit (PICU) staff.
View Article and Find Full Text PDFGood Practices for Health Technology Assessment Guideline Development: A Report of the Health Technology Assessment International, HTAsiaLink, and ISPOR Special Task Force.
Int J Technol Assess Health Care
January 2025
Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Objectives: Health technology assessment (HTA) guidelines are intended to support the successful implementation of HTA by enhancing consistency and transparency in concepts, methods, processes, and use, thereby enhancing the legitimacy of the decision-making process. This report lays out good practices and practical recommendations for developing or updating HTA guidelines to ensure successful implementation.
Methods: The task force was established in 2022 and comprised experts and academics from various geographical regions, each with substantial experience in developing HTA guidelines for national health policy making.
Clonal phylogenies inferred from bulk, single cell, and spatial transcriptomic analysis of epithelial cancers.
PLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
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