Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines

• Published in: Current epidemiology reports 2020-06, Vol.7 (2), p.77-88
• Main Authors: Dumancas, Gerard G., de Castro, Romulo, Saludes, Jonel P., Peñaranda, Bridith S., Bello, Ghalib A., Villa, Felix Ray P., Villareal, Bea Nestie Angeli L., Padernal, Webster F., Posecion, Teila Matilda A., Guanzon, Ma. Luz Vicenta V., Drilon, Julius M., Montoya, Jaime C.
• Format: Article
• Language: English
• Subjects: Cardiovascular Disease (R Forkaer; Cardiovascular diseases; Datasets; Diabetes; Diabetes mellitus; Epidemiology; Health risk assessment; Health risks; Medicine; Medicine & Public Health; Predictive analytics; Risk; Section Editor; Topical Collection on Cardiovascular Disease
• ISSN: 2196-2995; 2196-2995
• DOI: 10.1007/s40471-020-00232-7

Purpose of Review Cardiovascular diseases (CVDs) and diabetes are the primary causes of death in the Philippines. This manuscript reviewed previous studies on the use of predictive analytics for CVD and diabetes risk scoring. This paper also discussed barriers and strategies on how to access/generate available data sets for CVDs and diabetes in the country. Recent Findings CVD and diabetes risk scoring requires the availability of data sets related to such diseases. Although the Philippines has taken strides to implement the Philippine National eHealth solution, such a program does not include strategies toward the use of predictive analytics for CVD and diabetes risk scoring. Summary CVD and diabetes risk scoring research is particularly limited in the Philippines due to challenges related to costs, gaps in policies, and stakeholder involvement. A possible theoretical framework for the analysis and utilization of data sets as well as recommendations and research directions were discussed in this manuscript.