Diagnosing diagnostic error of endometriosis: a secondary analysis of patient experiences from a mixed-methods survey.

ABSTRACT:

Objective

To analyse endometriosis diagnostic errors made by clinicians as reported by patients with endometriosis.

Methods

This study deductively analysed qualitative data as part of a larger mixed-methods research study examining 'invalidating communication' by clinicians concerning patients' symptoms. Data analysed were responses to an open-ended prompt asking participants to describe an interaction with a clinician prior to their diagnosis in which they felt their symptoms were dismissed. We used three validated taxonomies for diagnosing diagnostic error (Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC) and generic diagnostic pitfalls taxonomies).

Results

A total of 476 relevant interactions with clinicians were identified from 4

SUBMITTER: Bontempo AC 

PROVIDER: S-EPMC11962774 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature