Page Comparison

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• Allow user to define a set of records within a given project
  • List a set of records to evaluate and allow user to click on individual records to evaluate 
    
    • Mark records as “evaluated,” “not done,” or “not evaluated” 
    • Save list so it can be revisited in multiple sessions 
  • May allow user to flag and separate data quality exercises (e.g. Recent HIV follow-up visit data quality)
  • Automatically sub-sample appropriately for statistical purposes (e.g. to select an appropriate random population for a given confidence interval or to produce a lot quality assurance assessment)
• Generate reports based on given data quality project
  • Quality of data by user
  • Types of errors (e.g. user left record blank, user filled in data missing from paper record, user entered in a value with insufficient precision, paper record was difficult to read or changed, impossible to represent accurately in EMR, etc.)
  • Quality of data based on location
  • Quality of data for a user defined project, program, or encounter type
  • Quality of data based on observation
  • Statistical calculations for confidence intervals, sensitivity, LQAS, etc. 
• Allow Users to update the original record automatically while assessing the original EMR data

Mockups

Resources

• Admon, A.J. (2013): "Assessing and improving data quality from community health workers: a successful intervention in Neno, Malawi" Public Health Action 3(1) 56 - 59

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