Mata-Data: Data Visualization in Approaching Evidence-Based Health Policy

Abstract

Data and information is the key to implementing evidence-based health policy, which has been problematic in Indonesia. The communication between researchers and policymakers must be further strengthened by encouraging data visualizations as the narrative tools to optimize those communications. Mata-Data (https://mata-data.com) aimed to present national data on health and its social determinants in dynamic data visualization, which was previously shown in tables only. This program was developed in several steps. First, data extraction and analysis from data bank and official reports. Second, website development subcontracted to external consultants. Third, trial and feedback conducted using online forms, both in quantitative and qualitative data. Fourth, evaluation and dissemination. Several significant findings were established. At first, the limitation of data types (mainly categorical and ordinal) means that the multivariate display of data in one graphic was unavailable. However, in general, the user experiences were favorable. The superiority of data visualizations was agreed by the users. Nevertheless, several concerns emerged. First, the use of a mobile device was growing. Second, the need for the user for reference points, instead of comparing between provinces. Last, the interest in geographically more in-depth data, especially on the city district level. In conclusion, it can be observed that this program has evolved into something specific for the Indonesian context. Further analysis of various concerns is needed to further how Mata-Data can improve data communication in Indonesia.

Keywords

• health data
• determinants of health
• data visualization
• evidence-based health policy
• informed decision