A snapshot of data quality issues in Indonesian community health

Aisyah, Maulidyati and Cockcroft, Sophie (2014) A snapshot of data quality issues in Indonesian community health. International Journal of Networking and Virtual Organisations, 14 (3). pp. 280-297. ISSN 1470-9503

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Abstract

Healthcare services in Indonesia remain 'poor' by international standards. At the heart of the problem are systemic data quality issues. Little work has been done on health data quality in rural settings in this region. In this work, an exploratory study of data quality within a health centre (HC) in rural Indonesia is carried out with reference to two well-known sets of qualitative data quality measures AIMQ and PRISM. The research aims first to uncover data quality issues within a typical health facility in rural Indonesia, and second to discover whether these problems relate to operational issues. The research uses an inductive, qualitative case study approach using the following methodology. Key data quality issues are identified in the literature; these are used as a framework from which to develop seed questions for data collection via semi structured interviews. The full interview transcripts are analysed manually and using the text mining software Leximancer. Issues relating to data validation and integration are identified. Suggestions are put forward for development action both locally and nationally. This work provides a snapshot of the state of play in a typical rural health facility in Indonesia.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Date Deposited: 02 Feb 2021 04:43
Last Modified: 02 Feb 2021 04:43
Uncontrolled Keywords: health information systems; HIS; developing countries; PRISM; AIMQ; Leximancer; case study; data quality; Indonesia
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080606 Global Information Systems
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460504 Data quality
Socio-Economic Objectives (2008): C Society > 92 Health > 9204 Public Health (excl. Specific Population Health) > 920401 Behaviour and Health
C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/35843

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