Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data – Does Reduction in Coronary Disease Increase Heart Failure Prevalence?

Alicja Jasinska-Piadlo, RR Bond, Pardis Biglarbeigi, Patricia Campbell, David McEneaney

Research output: Contribution to conferencePaperpeer-review

Abstract

Accessing healthcare data for research purposes is lengthy and requires a data controller and ethical approval. There are, however, open data that exist in the public domain that can be freely accessed and used for research purposes. We performed a time series analysis of cardiovascular disease trends in Northern Ireland during the years 2010–2020. We accessed the Raw Disease Prevalence Data for NI from the Quality Outcomes Framework (QOF) published on the government website. Statistical analysis was performed to explore trends in prevalence for patients with coronary artery disease (CAD), heart failure (HF), and atrial fibrillation (AF). Data analysis was performed using MATLAB version R2021b. There was a significant increase in the prevalence of patients with HF and AF against a steady decrease of coronary artery disease prevalence in NI population. The prevalence of HF was higher in GP practices located more than 60 minutes drive from two primary PCI centers in NI. Our analysis shows that publicly available data have useful research value when research questions are asked by clinical experts.
Original languageEnglish
DOIs
Publication statusAccepted/In press - 24 Jun 2021
EventComputing in Cardiology 2021 - Hotel Passage, Brno, Czech Republic
Duration: 12 Sep 202115 Sep 2021
http://www.cinc2021.org/

Conference

ConferenceComputing in Cardiology 2021
Abbreviated titleCinC21
Country/TerritoryCzech Republic
CityBrno
Period12/09/2115/09/21
Internet address

Keywords

  • Data analysis
  • open data
  • heart failure
  • heart disease

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