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Methods for assessing the quality of data in public health information systems: a critical review.
- Source :
-
Studies in health technology and informatics [Stud Health Technol Inform] 2014; Vol. 204, pp. 13-8. - Publication Year :
- 2014
-
Abstract
- The quality of data in public health information systems can be ensured by effective data quality assessment. In order to conduct effective data quality assessment, measurable data attributes have to be precisely defined. Then reliable and valid measurement methods for data attributes have to be used to measure each attribute. We conducted a systematic review of data quality assessment methods for public health using major databases and well-known institutional websites. 35 studies were eligible for inclusion in the study. A total of 49 attributes of data quality were identified from the literature. Completeness, accuracy and timeliness were the three most frequently assessed attributes of data quality. Most studies directly examined data values. This is complemented by exploring either data users' perception or documentation quality. However, there are limitations of current data quality assessment methods: a lack of consensus on attributes measured; inconsistent definition of the data quality attributes; a lack of mixed methods for assessing data quality; and inadequate attention to reliability and validity. Removal of these limitations is an opportunity for further improvement.
- Subjects :
- Data Mining methods
Data Mining statistics & numerical data
Guideline Adherence statistics & numerical data
Guidelines as Topic
Internationality
Public Health Informatics standards
Quality Assurance, Health Care standards
Data Mining standards
Databases, Factual standards
Health Information Systems standards
Health Information Systems statistics & numerical data
Quality Assurance, Health Care methods
Research Design standards
Research Design statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1879-8365
- Volume :
- 204
- Database :
- MEDLINE
- Journal :
- Studies in health technology and informatics
- Publication Type :
- Academic Journal
- Accession number :
- 25087521