The Challenge:
To assist in achieving BHF's strategic aim of reducing health inequalities by delivering meaningful insight that would inform prioritisation of focus and identify issues and opportunities relating to health inequalities, as part of a mixed-methodology research project.
What We Did:
We curated a UK-centric dataset of discussions relating to race and ethnicity in the context of cardiovascular care from a wide variety of social media platforms. Using our natural language processing techniques and proprietary taxonomies we filtered and tagged the data to ensure ambiguous and irrelevant content was removed and then conducted quantitative and qualitative analysis of the clean dataset to identify key themes and insights relating to inequalities in cardiovascular care.
The Results:
Results from the analysis were presented to the BHF Health Insights team, as well as Patient Insights and other BHF Teams for use in their strategic planning. The insights were also incorporated into discussion guides and briefing documents used for the ethnographic interviews which were part of the mixed-methodology research initiative (conducted by Hush Research).
Key insight areas included: which stages of the patient journey were most discussed on social platforms, the motivators and barriers to managing cardiovascular conditions amongst communities, the awareness (or lack thereof) of cardiovascular disease signs and symptoms, examples of community outreach and educational programmes targeted at particular groups.
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