Data Quality in Vital and Health Statistics
Published Online: 15 JUL 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Biostatistics
How to Cite
Swerdlow, A. J. 2005. Data Quality in Vital and Health Statistics. Encyclopedia of Biostatistics.
- Published Online: 15 JUL 2005
In this chapter, the importance of data quality in the design and interpretation of analyses of routinely collected vital and health data is discussed. Issues considered include: the quality of information in underlying data sources; completeness of data collection; duplication; late registrations and alterations; validity and precision of data collection; coding, bridge-coding, and assignment of underlying cause; data processing and editing; quality of denominators; and numerator/denominator discrepancies. Separate consideration is given to particular issues for analysis of clusters and other rare events, and record linkage. While not intrinsically interesting, data quality is worth considerable attention if analyses of routinely collected data are to be correctly interpreted.
- data quality;
- vital and health statistics