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

  • Cardiovascular Disease (R Forkaer, Section Editor)
  • Published:
Current Epidemiology Reports Aims and scope Submit manuscript

Abstract

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.

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Acknowledgments

Dr. Gerard G. Dumancas would like to acknowledge the University of San Agustin Center for Informatics and the Office of Research and Global Relations for hosting his engagement as a Balik Scientist.

Funding

This work is financially supported by the Department of Science and Technology - Balik Scientist Program of the Philippine Council for Health Research and Development.

Author information

Authors and Affiliations

  1. Department of Mathematics and Physical Sciences, Louisiana State University – Alexandria, Alexandria, LA, 71302, USA

    Gerard G. Dumancas

  2. Center for Informatics, University of San Agustin, Gen. Luna St, 5000, Iloilo City, Philippines

    Romulo de Castro

  3. Center for Natural Drug Discovery & Development (CND3) and Department of Chemistry, University of San Agustin, Gen. Luna St, 5000, Iloilo City, Philippines

    Jonel P. Saludes

  4. Tawili University Center, Ma. Clara Ave, 5000, Iloilo City, Philippines

    Bridith S. Peñaranda

  5. MRC London Institute of Medical Sciences, Du Cane Rd, London, W12 0NN, UK

    Ghalib A. Bello

  6. The Medical City Iloilo, Esplanade 2, Molo, 5000, Iloilo City, Philippines

    Felix Ray P. Villa, Bea Nestie Angeli L. Villareal & Webster F. Padernal

  7. College of Medicine and West Visayas State University Medical Center, West Visayas State University, Lapaz, 5000, Iloilo City, Philippines

    Teila Matilda A. Posecion

  8. Corazon Locsin Montelibano Memorial Regional Hospital, Lacson St, 6100, Bacolod City, Philippines

    Ma. Luz Vicenta V. Guanzon & Julius M. Drilon

  9. University of the Philippines College of Medicine, 1000, Metro Manila, Philippines

    Jaime C. Montoya

  10. Philippine Council for Health Research and Development, Department of Science and Technology, Bicutan, 1631, Taguig City, Philippines

    Jaime C. Montoya

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  1. Gerard G. Dumancas
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  2. Romulo de Castro
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Correspondence to Gerard G. Dumancas.

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Dumancas, G.G., de Castro, R., Saludes, J.P. et al. Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines. Curr Epidemiol Rep 7, 77–88 (2020). https://doi.org/10.1007/s40471-020-00232-7

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