Main strengthes and weaknesses of existing data quality assessment tools
WHO DQR integrated into DHIS2 for countries implementing DHIS2 - 2019
Advantages:
- Provides access to facility data recorded in DHIS2 Software
- Can be used to assess quality of indicator of interest available in DHIS2
Disadvantages:
- Does not include examples of nutrition data indicators
- Requires skills to use DHIS2
Advantages:
- Needs to be fed with data to be assessed
Disadvantages:
- Does not include examples of nutrition data indicators
Measure Evaluation DQA Tool - 2008 - Prototol 2: Data Verification
Advantages:
- More suited to evaluation of field supervision data
- Provides recommendations and actions to improve data quality
Disadvantages:
- Does not include examples of nutrition data indicators
- Requires skills to use DHIS2
Measure Evaluation RDQA - 2009 - Checklist to assess program/project data quality
Advantages:
- More suited to evaluation of field supervision data
- Provides recommendations and actions to improve data quality
Disadvantages:
- Does not include examples of nutrition data indicators
- Requires skills to use DHIS2
Measure Evaluation RDQA - 2010 - Checklist to assess program/project data quality
Advantages:
- More suited to evaluation of field supervision data
- Provides recommendations and actions to improve data quality
Disadvantages:
- Does not include examples of nutrition data indicators
- Requires skills to use DHIS2
Measure Evaluation RDQA - 2015
Advantages:
- More suited to evaluation of field supervision data
- Provides recommendations and actions to improve data quality
Disadvantages:
- Does not include examples of nutrition data indicators
- Requires skills to use DHIS2