Table 1.

Recommendations to address data disagreement

Data discrepancies	Recommendations
Information discrepancies	Use strict and unambiguous definitions of data. Tighten and specify the parameters of the data dictionary. Incorporate the definitions of data into the data collection form. Review the definitions of data as part of a data quality audit. Regular training sessions in data extraction, interpretation and submission.
Time, date and number discrepancies	Develop a detailed hierarchy of source documentation in the data dictionary. Directly export routinely collected time, date and number data from administrative databases into registry databases.
Missing discrepancies	Develop a detailed hierarchy of source documentation in the data dictionary.
Transcription discrepancies	Increase the awareness and attention of data collectors to transcription errors.