It is important not to lose sight of the fact that demographic data collection is a means, not an end. The extent to which we can use demographic data for health equity purposes is largely dependent on the quality of that data. Therefore, any efforts at data collection must be accompanied and followed with efforts to monitor and improve data quality.
Monitoring data quality sometimes requires collecting additional information such as ‘who collected the data?’ or putting operations into place to ensure that you are capturing information about patients who decided not to answer any of the questions (e.g. threw out form with demographic questions).
In order to review the major issues surrounding data quality, please refer to the Quick Guide on Evaluating Data Quality developed for the Measuring Health Equity TC LHIN mandate.
Next page: 6.2. Seeking Feedback