This article proposes an integrated approach to data quality review, combining verification and feedback mechanisms. It is particularly useful for health programs and routine data systems, ensuring that the data collected is accurate and reliable for program planning and evaluation. The article emphasizes the importance of ongoing data quality assessments and continuous improvements, which are essential for maintaining high-quality data throughout its lifecycle. By integrating verification and feedback processes, organizations can address data quality issues promptly, ensuring that the data used in decision-making is of the highest quality and supports effective program outcomes.
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