Data source mapping: an essential step for health inequality monitoring

The 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 monitor...

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Main Authors: Ahmad Reza Hosseinpoor (Author), Devaki Nambiar (Author), Suparmi (Author), Nunik Kusumawardani (Author)
Format: Book
Published: Taylor & Francis Group, 2018-12-01T00:00:00Z.
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100 1 0 |a Ahmad Reza Hosseinpoor  |e author 
700 1 0 |a Devaki Nambiar  |e author 
700 1 0 |a Suparmi  |e author 
700 1 0 |a Nunik Kusumawardani  |e author 
245 0 0 |a Data source mapping: an essential step for health inequality monitoring 
260 |b Taylor & Francis Group,   |c 2018-12-01T00:00:00Z. 
500 |a 1654-9716 
500 |a 1654-9880 
500 |a 10.1080/16549716.2018.1456743 
520 |a The 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. 
546 |a EN 
690 |a Monitoring Health Inequality in Indonesia 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Global Health Action, Vol 11, Iss 0, Pp 13-19 (2018) 
787 0 |n http://dx.doi.org/10.1080/16549716.2018.1456743 
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787 0 |n https://doaj.org/toc/1654-9880 
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