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Public survey to identify the most important areas for research into cardiovascular disease

Authors: BHF Data Science Centre;

Public survey to identify the most important areas for research into cardiovascular disease

Abstract

The British Heart Foundation (BHF) Data Science Centre aims to improve the use of data in cardiovascular disease research. To help us prioritise our work we carried out a UK wide survey to gather input from patients and the public. The survey was co-designed with our group of patient and public representatives (Public Advisory Group). Survey questions asked participants to rate the importance to them of areas of research and ways that research is prioritised. We also organised workshop discussions with our Public Advisory Group. There were 354 survey respondents, including 66% who were women and 83% who had or knew someone with cardiovascular disease. The three most important areas of research were “Treating the disease”, “Improving the quality of life of patients” and “Diagnosing the disease”. The three most important methods of prioritising research were “Makes a positive impact on the lives or experience of patients”, “Has the potential to be used in healthcare in the UK” and “Is an important question to address”. Workshop discussions covered additional ways to gather patient and public input and methods to reach wider audiences for future surveys. The results of this survey will be used to guide future work of the BHF Data Science Centre.

Keywords

Cardiovascular priorities, Public survey, Cardiovascular disease, Data science

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citations
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BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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