Abstract
ABSTRACTThe task of health inequality monitoring is not possible without the availability of appropriate and high-quality data at various levels. Data source mapping – a process by which data sources are systematically enlisted, their properties detailed and each source appraised for the purposes of monitoring – is an essential initial step for health inequality monitoring. We outline a simple process along with a template for data source mapping and its application in Indonesia, concluding with the lessons learned from this process, in terms of both challenges as well as the opportunities and advantages arising from the use of equity-related data from the Indonesian health information system.
Highlights
The task of health inequality monitoring, the importance of which is underscored in this special issue [1], is not possible without the availability of appropriate and high-quality data
As countries move towards strengthening health information systems in alignment with the goal and its targets, data source mapping – a process by which data sources are systematically enlisted, their properties detailed and each source appraised for the purposes of monitoring – is an essential initial step
We describe the elements of data source mapping, detail a recent example of the application of this process in Indonesia, and lay out the lessons of this process, in terms of both the challenges as well as the opportunities and advantages it has introduced vis-à-vis the use of data from the Indonesian health information system for equity-linked analysis
Summary
The task of health inequality monitoring, the importance of which is underscored in this special issue [1], is not possible without the availability of appropriate and high-quality data. Data source mapping; health inequality monitoring; Indonesia This template was used for systematic data source mapping in Indonesia in as an initial step in developing a state of health inequality report for the country during the WHOled country capacity-building workshop and the subsequent period [21].
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