Table 1.
Data quality control methods for QI projects
Project phase | Challenge question |
---|---|
Project design | Are the aims of the project clearly stated? |
Is a valid definition and measurement system available for the required data? | |
Is there a clear focus on quality, rather than quantity, of data? | |
Data collection | Is a standardized data collection form created? |
Are data items clearly defined and written instructions provided for collecting each data item? | |
Are staff adequately trained to collect data? | |
Are QA reviews completed? | |
Is an electronic database used for data management? | |
Are sufficient database controls in place to identify errors? | |
Is there a back-up routine for the electronic database? | |
Data management | Have data been evaluated using basic statistics? |
Has there been a comprehensive review for missing data and methods to minimize missing data? | |
Data analysis | Are missing data reported and appropriate methods used to account for it? |
Have potential outliers been identified and evaluated? | |
Have appropriate methods been used to provide summary measures of the project results? | |
Have measures of precision been presented with the study results? | |
Have appropriate methods been used to evaluate the impact of factors that may confound the results? |