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Int. J. Environ. Res. Public Health 2014, 11(5), 5170-5207; doi:10.3390/ijerph110505170
Review

A Review of Data Quality Assessment Methods for Public Health Information Systems

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 and 1,*
Received: 20 January 2014; in revised form: 7 May 2014 / Accepted: 7 May 2014 / Published: 14 May 2014
(This article belongs to the Special Issue Public Health Informatics)
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Abstract: High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods were descriptive surveys and data audits, whereas the common qualitative assessment methods were interview and documentation review. The limitations of the reviewed studies included inattentiveness to data use and data collection process, inconsistency in the definition of attributes of data quality, failure to address data users’ concerns and a lack of systematic procedures in data quality assessment. This review study is limited by the coverage of the databases and the breadth of public health information systems. Further research could develop consistent data quality definitions and attributes. More research efforts should be given to assess the quality of data use and the quality of data collection process.
Keywords: data quality; information quality; data use; data collection process; evaluation; assessment; public health; population health; information systems data quality; information quality; data use; data collection process; evaluation; assessment; public health; population health; information systems
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chen, H.; Hailey, D.; Wang, N.; Yu, P. A Review of Data Quality Assessment Methods for Public Health Information Systems. Int. J. Environ. Res. Public Health 2014, 11, 5170-5207.

AMA Style

Chen H, Hailey D, Wang N, Yu P. A Review of Data Quality Assessment Methods for Public Health Information Systems. International Journal of Environmental Research and Public Health. 2014; 11(5):5170-5207.

Chicago/Turabian Style

Chen, Hong; Hailey, David; Wang, Ning; Yu, Ping. 2014. "A Review of Data Quality Assessment Methods for Public Health Information Systems." Int. J. Environ. Res. Public Health 11, no. 5: 5170-5207.



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