EURIPIDES is the short title for Evaluating the Use of Patient Experience Data to Improve the Quality of Inpatient Mental Health Care study.
What is the study about?
EURIPIDES aims to understand which of the many different approaches to collecting and using patient experience data are the most useful for supporting improvements in inpatient mental health care.
Who is involved in this study?
The project is a collaboration between the University of Warwick, the University of Birmingham, Queen Mary University London and the Mental Health Foundation. The project is supported by CRN West Midlands, and is overseen by a Project Oversight Group and an Independent Study Steering Group.
What will we be doing?
The project is specifically looking at how patient experience and feedback is managed in inpatient mental health care settings. To ensure the patient voice is heard, NHS Trusts are required to collect feedback from patients routinely. We do not know what kinds of feedback are most important or what management processes are needed to translate this into effective action plans, and we do not know if this makes any difference to patients themselves.
In order to explore this area, the proposed research has 5 work packages that are linked to the 5 study aims: After completing a systematic review to identify patient experience themes relevant to mental health care (Aim 1), we will identify, describe and classify approaches to collecting and using patient experience data to improve inpatient mental health services across England (Aim 2).
We will use this information to choose 6 Trusts around the country for in-depth case studies where we will carry out interviews to find out what works for whom, and where (Aim 3). We will look particularly for evidence of meaningful service user and carer involvement, and for service improvement activity. We will present our findings to experts (including service users and carers) at a ‘consensus conference’ to agree on recommendations about best practice (Aim 4). We will ensure that our results are anchored in what is acceptable, feasible and sustainable in real-world NHS settings.
Finally, we will use health economics to predict the costs that would arise (and savings that might occur) if ‘best practice’ in collecting and using patient experience data was widely adopted, and we will speak to senior NHS colleagues to explore obstacles to adopting best practice (Aim 5). The Work Packages are shown in a diagram below to show how the research activities fit together. As the study progresses and the work packages are completed, the diagram will go green to help demonstrate where we are up to with the study.
Why does this research matter? How will it make a difference?
Every Trust collects patient feedback data, and in some cases they have spent years setting up local systems for this. We aim to learn what works best from the wide range of current approaches. Our results will provide the first comprehensive overview of current approaches to collecting and using patient experience data to improve inpatient mental health care in England.
The research, and our recommendations, will be grounded in the real world NHS. We will review the study findings and agree recommendations based on what is judged feasible, acceptable and sustainable according to commissioners, service providers and service users and carers. We hope that this research will inform the future collection, management and use of patient experience data and thereby improve services.
Funding for this study
The research is funded by the National Institute for Health Research’s Health Services and Delivery Research Programme.
- Professor Kamaldeep Bhui
- Dr Michael Larkin
- Dr Elizabeth Newton
- Dr David Crepaz-Keay
For more information. or to take part in Euripides, please contact Sarah-Jane Fenton by email.
The Evaluating the Use of Patient Experience Data to Improve the Quality of Inpatient Mental Health Care study is funded by the National Institute for Health Research's Health Services and Delivery Research Programme.
Dates/duration of study
January 2016 - July 2018