Phendo is an observational research study to establish a catalog of the signs and symptoms of endometriosis as experienced by you, people with endometriosis. In addition, opportunities to reflect upon your collected data may help you in managing your disease. Columbia University invites you to join this study about endometriosis to enhance understanding about the disease.
You can track your experience of endometriosis in Phendo at your convenience, track more or fewer signs, symptoms, and self management information, or stop tracking at any time.
Are you a patient that has an endometriosis-related research question of your own? Share it!
You can always email us too at firstname.lastname@example.org
Our research is approved by Columbia University's Institutional Review Board (IRB).
First you will download the Phendo app. 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 are able to access your data, and your data is used for research purposes only.
Those under the age of 18 will need parental permission to participate, and parents or guardians will be asked to co-sign consent. Individuals eligible to participate in the study include:
At this time Phendo is available only for the iPhone.
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Associate Professor in Biomedical Informatics at Columbia University. Her research is at the intersection of data science and medicine.
PhD student in Biomedical Informatics at Columbia University. Her research is at the crossroads of mobile health, informatics, and data science.
Research Manager in Biomedical Informatics at Columbia University. She solves problems at the cross section of science, technology, and society with a focus on reproductive health.
Development by Applied Informatics