Welcome to Phendo

Phendo is an app to track, manage, and understand endometriosis. Phendo is part of Citizen Endo, a Columbia University research project to better understand endometriosis.

What's Involved?

Our research is approved by Columbia University's Institutional Review Board (IRB).

First you will download the Phendo app for either iOS or for Android . You will be able to join the study after signing the consent form. We will ask you to track individual instances of symptoms, signs of the disease as they occur using the “track this moment” feature, and endometriosis symptoms and signs of the disease at a daily level through “track this day”. You will be able to review items through time as you enter them into the app. All information collected will be stored separately from user name using an id number.

Privacy and security of data tracked through Phendo are important to the research team. All data collected through the app is stored on HIPAA-certified servers. Only members of the research team and research collaborators are able to access your data, and your data is used for research purposes only. You can view a list of research collaborators here.

Who's Eligible?

Individuals eligible to participate in the study include:

  • Adolescents (those 13 and above) and adults (those 18 and above) who have reached the onset of menarche, that is, who have had at least one menstrual period.
  • Adolescents and adults who have experienced symptoms of endometriosis in the past 3 months.
  • Adolescents and adults who have reached menarche but have not expeprienced symptoms in the last 3 months are eligible to participate as controls.
  • Those under the age of 18 will need parental permission to participate, and parents or guardians will be asked to co-sign consent.

    Who's Behind Phendo?

    Noémie Elhadad, PhD

    Principal Investigator

    Associate Professor in Biomedical Informatics at Columbia University. Her research is at the intersection of data science and medicine.

    Mollie McKillop, MPH, MA

    PhD Student

    PhD student in Biomedical Informatics at Columbia University. Her research is at the crossroads of mobile health, informatics, and data science.

    Development by Applied Informatics