Search results
Found 24 matches for
The home of collaborative applied health and social care research in Oxford and the Thames Valley.
Audit-based Education to Implement NICE Do-Not-Do Recommendations in People with Cardiometabolic Multimorbiditory (MONITORY); a cluster randomised trial
This study aims to improve medication prescribing in GP surgeries using an Audit-Based Education (ABE) programme to enhance adherence to NICE recommendations, focusing on reducing inappropriate prescriptions for patients with cardiometabolic conditions.
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.
Developing Novel Methods to Capture Health and Well-Being Outcomes of Community-Based Support: Testing Moodscope with Vulnerable Families
The project investigates Moodscope's ability to evaluate the health and well-being impacts of community activities, particularly through a pilot with caregivers involved in art groups, aiming to enhance communication on emotional states and validate the tool's effectiveness in capturing mood variations in vulnerable populations.
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.
Health Economic Aspects of Childhood Excess Weight
- Changing Behaviours for Better Health and Preventing Disease
- Evaluation
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
- Public Health
- Weight, Health, and Behaviour
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.
Human-Centred AI Design to Develop Digital Health Artificial Intelligence for Multiple Long-Term Conditions (Multimorbidity)
- Apps, Databases, and Digital Health
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
- Social Care
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.
Understanding Attitudes to Genetic Risk for Cardiovascular Disease
- Apps, Databases, and Digital Health
- Evaluation
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
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.
Natural Experiments by Interrupted Time Series Analysis for the NHS
- Apps, Databases, and Digital Health
- Evaluation
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
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.
BLOod Test Trend for cancEr Detection (BLOTTED): An Observational and Prediction Model Development Study Using English Primary Care Electronic Health Records Data
This research assesses combinations of blood tests and their changes over time to enhance cancer diagnosis efficiency, potentially leading to earlier detection, more successful treatments, and improved survival rates while reducing unnecessary testing.
Supporting Local Commissioners in England to Commission New Models of Care
- Improving Health and Social Care
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
- Public Health
- Social 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.
Cost-Effectiveness of Implementing a Suicide Prediction Tool (OxMIS) in Severe Mental Illness
This project evaluates the cost-effectiveness of the Oxford Mental Illness and Suicide (OxMIS) tool in psychiatric services for patients with severe mental illness, aiming to improve suicide risk assessments and integrate preventive measures into routine care.
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
- DEM-COMM
- Dementia
- Improving Health and Social Care
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
- Social Care
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.
DEcision-Making support Model for whole-pathway dementia workforce COMMissioning (DEMM-COMM)
- DEM-COMM
- Dementia
- Improving Health and Social Care
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
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
- Applied Digital Health
- DEM-COMM
- Dementia
- Methods and Tools
- Novel Methods to Aid and Evaluate Implementation
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.
Using Adverse Events and Patient Preferences to Personalise Pharmacological Treatment for Depression
This project aims to personalise depression treatment by using patient preferences and adverse event data to develop computer programs that help doctors choose the most effective antidepressants with the fewest side effects.
Implementation of the Forensic Outcome Measure (FORUM) in a Regional Forensic Mental Health Service
Integrating the FORensic oUtcome Measure (FORUM) into regional forensic mental health services to enhance patient care, foster clinician-patient collaboration, and improve treatment outcomes.
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.
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.
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."