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Robust laboratory protocols and stringent quality control (QC) procedures are essential for meaningful collection of data from multiple sites in large-scale population-based studies. Failure to design and implement an effective QC program not only adversely affects the scientific outcome, but also affects public confidence in the acceptability of the data.

international journal for quality in health care

Should quality goals be defined for multicenter laboratory testing? Lessons learned from a pilot survey on a national surveillance program for diabetes