Data quality in community health: an Indonesian study

Aisyah, M and Cockcroft, S 2013, 'Data quality in community health: an Indonesian study', in Hepu Deng and Craig Standing (ed.) ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems, Melbourne, Australia, 4-6 December, 2013, pp. 1-11.


Document type: Conference Paper
Collection: Conference Papers

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Title Data quality in community health: an Indonesian study
Author(s) Aisyah, M
Cockcroft, S
Year 2013
Conference name 24th Australasian Conference on Information Systems (ACIS)
Conference location Melbourne, Australia
Conference dates 4-6 December, 2013
Proceedings title ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems
Editor(s) Hepu Deng and Craig Standing
Publisher RMIT University
Place of publication Melbourne, Australia
Start page 1
End page 11
Abstract We present the results of an exploratory study of data quality within a health centre (HC) in rural Indonesia. This study is carried out via two channels, first, assessing data quality using two well-known sets of qualitative data quality measures and second via content analysis of interview transcripts using Leximancer. Data is collected via semi-structured interviews based on the AIMQ and PRISM methods. PRISM has been used in a number of comparable studies in developing countries. A number of themes are identified. We document the challenges faced by the front line staff as a result of data quality issues and provide a snapshot of the state of play in a typical rural health faclity in Indonesia. Suggestions are put forward for development action both locally and nationally.
Subjects Other Information and Computing Sciences
Keyword(s) Health Information Systems
developing countries
PRISM
AIMQ
Leximancer
Case study
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