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Tools and methods for assessing data quality have advanced significantly over the past ten years, driven in part by the need for good HIV/AIDS data to inform programs. However, most of the existing tools focus on aggregate data at sub-national levels with very few measuring the quality of data at the primary source—individual patient record level.
The LQAS Triage System, a tool and guidelines for district level supervisors to facilitate checks at health facilities to determine the quality of a set of records (e.g. for a given health intervention at a health facility) based on a small sample of those records. Using a ‘classification’ method, Lot Quality Assurance Sampling or LQAS, a small subset of records are sampled and evaluated for coherence/completeness. The results are then compared with a predetermined threshold of quality to identify ‘acceptable’ or ‘unacceptable’ quality for the larger record set, or ‘lot’.
John Snow, Inc.'s (JSI) epidemiologist Dave Boone discusses the system’s process, uses, and benefits that can extend to a national level when used as part of a routine system of data quality assurance. After his presentation, there will be time for questions and shared learning.