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

WHO DQR 2017

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
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