Table 1

Recommendations to address data disagreement

Data discrepanciesRecommendations
Information discrepancies
  1. Use strict and unambiguous definitions of data.

  2. Tighten and specify the parameters of the data dictionary.

  3. Incorporate the definitions of data into the data collection form.

  4. Review the definitions of data as part of a data quality audit.

  5. Regular training sessions in data extraction, interpretation and submission.

Time, date and number discrepancies
  1. Develop a detailed hierarchy of source documentation in the data dictionary.

  2. Directly export routinely collected time, date and number data from administrative databases into registry databases.

Missing discrepancies
  1. Develop a detailed hierarchy of source documentation in the data dictionary.

Transcription discrepancies
  1. Increase the awareness and attention of data collectors to transcription errors.