Big data,social determinants of coronary heart disease and barriers for data access

Institute for Health Metrics and Evaluation. Global Burden of Diseases Results Tool. GHDx. http://ghdx.healthdata.org/gbd-results-tool (2020, accessed 30 March 2020).

Graham H White PCL. Social determinants and lifestyles: integrating environmental and public health perspectives. Public Health 2016; 141: 270–278.

Rumsfeld JS Joynt KE Maddox TM. Big data analytics to improve cardiovascular care: Promise and challenges. Nat Rev Cardiol 2016; 13: 350–359.

Hilbert M. Big data for development: a review of promises and challenges. Dev Policy Rev 2016; 34: 135–174.

Wyber R Vaillancourt S Perry W , et al. Big data in global health: improving health in low- and middle-income countries. Bull WHO 2015; 93: 203–208.

Mnatzaganian G Lee CMY Robinson S , et al. Socioeconomic disparities in the management of coronary heart disease in 438 general practices in Australia. Eur J Prev Cardiol. Epub ahead of print 25 March 2020. DOI: 10.1177/2047487320912087.

Gyberg V Kotseva K Dallongeville J , et al. Does pharmacologic treatment in patients with established coronary artery disease and diabetes fulfil guideline recommended targets? A report from the EUROASPIRE III cross-sectional study. Eur J Prev Cardiol 2015; 22: 753–761.

Reiner, De Backer G Fras Z , et al. Lipid lowering drug therapy in patients with coronary heart disease from 24 European countries – findings from the EUROASPIRE IV survey. Atherosclerosis 2016; 246: 243–250.

Kotseva K De Backer G De Bacquer D , et al. Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: results from the European Society of Cardiology ESC-EORP EUROASPIRE V registry. Eur J Prev Cardiol 2019; 26: 824–835.

Kotseva K De Backer G De Bacquer D , et al. Primary prevention efforts are poorly developed in people at high cardiovascular risk: a report from the European Society of Cardiology EURObservational Research Programme EUROASPIRE V survey in 16 European countries. Eur J Prev Cardiol. Epub ahead of print 20 March 2020. DOI: 10.1177/2047487320908698.

Busingye D Gianacas C Pollack A , et al. Data Resource Profile: MedicineInsight, an Australian national primary health care database Scope: general practice in Australia. Int J Epidemiol 2019; 48: 1741–1741.

United Nations Global Pulse. Big Data for Development: A primer. https://www.unglobalpulse.org/document/big-data-for-development-primer/ (2013, accessed 30 March 2020).

Castillo-Laborde C Aguilera-Sanhueza X Hirmas-Adauy M , et al. Health insurance scheme performance and effects on health and health inequalities in Chile. MEDICC Rev 2017; 19: 57–64.

Alonso F Nazzal C Cerecera F , et al. Reducing health inequalities: comparison of survival after acute myocardial infarction according to health provider in Chile. Int J Health Serv 2019; 49: 127–141.

Balicer RD Luengo-Oroz M Cohen-Stavi C , et al. Using big data for non-communicable disease surveillance. Lancet Diabet Endocrinol 2018; 6: 595–598.