Assessing the knowledge of endometriosis diagnostic tools in a large, international lay population: an online survey
M Leonardi1,2,3, R Rocha1,2, A N Tun-Ismail1,2
1Acute Gynaecology, Early Pregnancy, and Advanced Endosurgery Unit, Nepean Hospital, Kingswood, NSW, Australia.
Objective:
To assess the general population's knowledge regarding the utility and availability of tools to diagnosis endometriosis, with a focus on ultrasound.
Design:
An international cross-sectional online survey study was performed between August and October 2019.
Setting And Population:
5301 respondents, representing 73 countries.
Methods:
In all, 23 questions survey focused on knowledge of endometriosis diagnosis distributed globally via patient- and community-endometriosis groups using social media.
Main Outcomes And Measures:
Descriptive data of the knowledge of diagnostic tools for diagnosing endometriosis, including details about diagnosis using ultrasound.
Results:
In all, 84.0% of respondents had been previously diagnosed with endometriosis, 71.5% of whom had been diagnosed at the time of surgery. Ultrasound and MRI were the methods of diagnosis in 6.5% and 1.8%, respectively. A total of 91.8%, 28.8% and 16.6% of respondents believed surgery, ultrasound and MRI could diagnose endometriosis, respectively (more than one answer allowed). In those diagnosed by surgery, 21.7% knew about ultrasound as a diagnosis method, whereas in those diagnosed non-surgically, 51.5% knew (P < 0.001). In all, 14.7%, 31.1% and 18.2% stated superficial, ovarian and deep endometriosis could be diagnosed with ultrasound (32.9% stated they did not know which phenotypes of endometriosis could be diagnosed). Lastly, 58.4% of respondents do not believe they could access an advanced ultrasound in their region.
Conclusions:
There is a limited appreciation for the role of non-surgical diagnostic tests for endometriosis among lay respondents to this survey.
Tweetable Abstract:
International survey shows limited awareness of lay respondents about non-surgical endometriosis diagnostic tools.
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