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Dataset Information

Long-term cardiovascular risk prediction in the emergency department: a mixed-methods study protocol.


ABSTRACT:

Introduction

Cardiovascular disease (CVD) remains one of the leading causes of preventable death in Europe, therefore any opportunity to intervene and improve care should be maximised. Known CVD risk factors are routinely collected in the emergency department (ED), yet they are often not acted on. If the risk factors have prognostic value and a pathway can be created, then this would provide more holistic care for patients and reduce health system inefficiency.

Methods and analysis

In this mixed-methods study, we will use quantitative methods to investigate the prognostic characteristics of routinely collected data for long-term CVD outcomes, and qualitative methods to investigate how to use and implement this knowledge. The quantitative arm will use a database of approximat

SUBMITTER: Reynard C 

PROVIDER: S-EPMC8996042 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature