![]() Just like other statistical concepts, the proper use of a metric requires an understanding of what that metric does - and doesn't - represent. ![]() However, understanding the differences in these terms and what they truly represent is critical for not just those involved in measure development, but for anyone who uses a quality measure or wants to interpret its results. This is understandable: they are technical terms (i.e., jargon) and they both refer to how “good” a measure is, so it’s no surprise that the details of what falls under each category can get a little muddy. When discussing the merits of a particular healthcare quality measure, the concepts of “validity” and “reliability” are often used interchangeably (if used at all).
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