Chronic disease

Monitoring endometriosis symptoms: a systematic review of mobile applications in terms of content, inclusivity and functionality

Seven years is the average time a person with endometriosis must wait between the onset of symptoms and diagnosis. Why is this? Invisibility, and the recurrent minimisation of pain. Monitoring the symptoms of the disease is essential, and mobile apps are flourishing on the market, but how useful are they? While digital tools can easily exclude people, so too can the way symptoms are reported, as they differ from person to person and vary over time. By offering a systematic review of mobile applications for symptom tracking, we will evaluate them in terms of app quality, usability, functionality and inclusivity. We will identify best practices and determine whether a new app needs to be developed. But by addressing endometriosis, this project is already contributing to the visibility of the disease and its inclusion. Indeed, endometriosis is also overlooked by research funding bodies: on the SNSF search engine, the term ‘prostate’ yields 242 research projects, while there are only 9 for endometriosis. The time has therefore come to ensure that our healthcare systems are inclusive, equitable and adapted to the real lives and experiences of the people they seek to serve.

The aim of this study is to conduct an exhaustive review of applications dedicated to monitoring the symptoms of endometriosis. This mapping will enable us to obtain a comprehensive overview of the available applications and evaluate them according to several crucial dimensions: the quality of their content, their functionalities, their inclusive nature and the data protection they offer.

We will apply the rigorous seven-step methodology proposed by Gasteiger et al. to evaluate these health applications. The results of this analysis will determine whether it is more appropriate to adapt an existing application or develop a new one.

Academic partner

Alessio de Santo, Alessio De Santo HE-ARC

Source of funding

Domaine Santé de la HES-SO

Claudia Ortoleva Bucher
Ortoleva Bucher Claudia
Full Professor UAS/Head of Applied Research and Development
Room: 5.44
Line Martin
Martin Line
Academic Associate UAS
Room: 5.53