Data Quality Review (DQR) Toolkit

  • 1 January 1970
  • Case Study
  • Publisher : MEASURE Evaluation
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The DQR Toolkit offers a comprehensive methodology for assessing the quality of routine health data. The toolkit integrates data review, verification, and feedback mechanisms to enhance the reliability and usability of health information systems. It was designed with the intent to support governments and health organizations in improving their data quality assurance processes. The toolkit is essential for promoting evidence-based decision-making and bolstering the capacity of national health data systems. By ensuring that health data is accurate and actionable, it contributes to more informed policies and better health outcomes for communities globally.

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MEASURE Evaluation

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Key topics

Data Science for social impact, Health and Wellbeing

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