Patient Perceptions Of Misdiagnosis Of Endometriosis: Results From An Online National Survey

Background: Endometriosis is an estrogen-dependent disease affecting 10% of females in which endometrial-like tissue grows outside the uterus, resulting in pain, infertility, and physical and psychosocial dysfunction. Prior research documenting diagnostic error reports a 6.7-year mean diagnostic delay. This study takes a patient-oriented approach and aims to complement prior research on diagnostic error by examining patient-reported experiences with misdiagnosis.Methods: Data were part of a larger online survey comprising nonrandomly sampled patients with self-reported surgically confirmed endometriosis (n = 758). We examined patients' reports of misdiagnosis, to which healthcare professionals (HCPs) they attributed misdiagnosis, mean diagnostic delay, and endometriosis symptoms and physical sites predicting misdiagnosis reports.Results: Mean reported diagnostic delay was 8.6 years. 75.2% of patients reported being misdiagnosed with another physical health (95.1%) and/or mental health problem (49.5%) and most frequently by gynecologists (53.2%) followed by general practitioners (34.4%). Higher odds of reporting a physical or mental health misdiagnosis was associated with reports of virtually all symptoms and endometriosis on the bladder, small bowel, pelvic sidewall, and rectum. Higher odds of reporting a physical health misdiagnosis was exclusively associated with reports of endometriosis on the appendix. Higher odds of reporting a mental health misdiagnosis was exclusively associated with reports of a younger symptom onset age; endometriosis on the diaphragm, large bowel, lung, and ureter; and comorbid adenomyosis diagnosis.Conclusions: Endometriosis continues to present serious and complex diagnostic challenges. These findings corroborate previous objective investigations documenting endometriosis diagnostic error, establish the first patient-reported incidence, and further demonstrate value in including patients in diagnostic error research.