Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity.

Ava L. Liberman; Zheyu Wang; Yuxin Zhu; Ahmed Hassoon; Justin Choi; J. Matthew Austin; Michelle C Johansen; David E. Newman-Toker

Commentary

Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity.

May 3, 2023

Liberman AL, Wang Z, Zhu Y, et al. Diagnosis (Berl). 2023;10(3):235-241.

View more articles from the same authors.

Symptom–Disease Pair Analysis of Diagnostic Error (SPADE) is a framework to measure diagnostic errors using existing databases, such as electronic health records or administrative claims. The original developers of the SPADE framework provide additional guidance on types of comparator groups, how to select the appropriate group, and what inferences can be drawn from the analysis.

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