Our work:
Novel methods to aid and evaluate implementation
Why this research:
The generation of high-quality evidence relies on obtaining the least biased information to answer clinical questions that affect patient care.
However, some of the least biased methods can be very complex, and tend to be the least likely to include vulnerable and disadvantaged patients (where evidence is most needed).
We are using Electronic Health Records to model and evaluate changes to the way healthcare is delivered. Use of such models could enable greater participation rates from diverse communities where health needs are greatest. However, most of these tools need to be developed or tailored to the current data available.
We will also provide all other themes in the Applied Research Collaboration with methodological, statistical and health economic support.
Theme Lead
Workstreams in this research area:
Create a framework for developing and evaluating early health economic models with a specific
focus on diagnostic tools
Diagnostic research to provide guidance on the evaluation of new prediction models based on “Big Data”
and artificial intelligence (AI)
Modeling changes to the health service and predicting potential impact.
New tools to explore impact of multimorbidity on workload in Primary Care and predicting requirements in service redesign.
Projects in this theme
Supporting Local Commissioners in England to Commission New Models of Care
This project develops a prioritisation framework to support local commissioners in England in making evidence-based decisions for commissioning new models of care, using public values and routinely collected data to enhance healthcare efficiency, equity, and patient outcomes.
Natural Experiments by Interrupted Time Series Analysis for the NHS
Exploring the simplification of Interrupted Time Series Analysis (ITSA) to enhance its application in healthcare research, aiming to provide clearer insights into the effects of healthcare interventions.
Understanding Attitudes to Genetic Risk for Cardiovascular Disease
This project investigates how polygenic risk scores for cardiovascular disease affect individuals' healthcare decisions, aiming to refine the use of genetic risk information in primary care and improve prevention and management strategies.
Human-Centred AI Design to Develop Digital Health Artificial Intelligence for Multiple Long-Term Conditions (Multimorbidity)
The project focuses on improving healthcare for individuals with multiple long-term conditions by integrating Human-Centred AI Design into digital health tools, aiming to co-create AI-driven technologies with patients and professionals to ensure safe, effective, and understandable healthcare solutions.
Health Economic Aspects of Childhood Excess Weight
This project assesses the economic impact of childhood obesity in the UK, focusing on healthcare costs and quality of life outcomes, with the aim of informing effective prevention strategies and resource allocation.
Problems Encountered during Stepped-Wedge Cluster Randomised Trials and Potential Solutions: Systematic Review and Survey
This project examines the challenges of conducting stepped-wedge cluster randomised trials in healthcare, aiming to develop a guide with practical solutions to improve the efficiency and effectiveness of future trials, thereby enhancing the testing and implementation of new health services.
Weight-Bearing in Ankle Fractures (WAX). A randomised clinical trial and economic evaluation of weight-bearing following operatively treated ankle fracture
The WAX trial evaluates the effects and cost-effectiveness of early weight-bearing (two weeks post-surgery) versus the traditional six-week wait in patients with operatively treated ankle fractures, aiming to improve recovery outcomes and potentially revolutionise post-surgical care guidelines in the UK.
Re-evaluating Resuscitation: Improving Outcomes in Cardiac Arrest Cases
Evaluating and potentially revising NHS Ambulance service guidelines for cardiac arrest incidents to optimise resuscitation efforts and transport decisions, aiming to standardise practices and improve patient outcomes.
Economic Costs Associated with Miscarriage: A secondary analysis of QResearch
Analysing the economic impact of miscarriage in the UK by comparing healthcare costs for women who have experienced miscarriage with those who haven't, to inform cost-effective healthcare strategies."
TORCH Project: Enhancing Health Technology Assessments for Children
The TORCH project seeks to enhance how children's responses to medicines are assessed globally, developing new methods to measure and include paediatric health outcomes in health technology assessments to better inform policy decisions on medical treatments for children.
UK EQ-5D Valuation Study: Creating a New UK Values Set for EQ-5D-5L
The UK EQ-5D-5L Valuation Study updates how health outcomes are valued in the UK, involving 1,200 participants to establish new 'weights' for health states that enhance the calculation of quality-adjusted life years (QALYs) and improve healthcare decision-making.
Mathematical and Economic Modelling for Vaccination and Immunisation Evaluation, and Emergency Response.
This project uses advanced mathematical and economic models to guide UK vaccination policy, providing the Joint Committee on Vaccination and Immunisation (JCVI) with robust predictions to support informed decisions on immunisation strategies and emergency responses.
Associations of Alzheimer's disease with inpatient hospital costs and quality-adjusted life years in the UK Biobank
This project analyses UK Biobank data to assess the impact of Alzheimer's disease on healthcare costs and quality of life, employing advanced methods to ensure robust findings.
DEcision-Making support Model for whole-pathway dementia workforce COMMissioning (DEMM-COMM)
This project is developing a comprehensive health economic model for dementia care to help UK commissioners make informed workforce investment decisions, improving care and reducing inequalities.
Trajectories and transitions of biomarkers in Dementia in the context of multimorbidity
This project uses advanced methods to study how dementia progresses in people with different backgrounds and other health conditions, aiming to improve early detection and management through health record analysis.
Can the medications treating dementia-related conditions (e.g. hypertension, diabetes, depression) be used for dementia prevention and treatment as well?
This research investigates whether medications for hypertension, diabetes, and depression can also help prevent and treat dementia by analysing UK health records for patterns of reduced dementia risk among users.
Clinical benefits of the Oxford Brain Health Centre pathway compared to the routine memory clinic pathway in psychiatrists’ confidence for diagnosis and management of memory disorders
This project compares the Oxford Brain Health Centre pathway with the traditional memory clinic approach to see if it boosts psychiatrists' confidence in diagnosing and managing memory disorders, potentially improving patient care and influencing future practices.
The prevalence of neuropsychiatric symptoms and caregivers' distress at the diagnosis of mild cognitive impairment and dementia, along with associated factors.
This study explores the prevalence of neuropsychiatric symptoms in patients at the point of diagnosis with mild cognitive impairment or dementia and examines the associated distress levels in their caregivers, aiming to inform better support strategies.