A Modular Cloud Platform For Fertility Preservation

Starting soon · Not applicable

Conditions studied: Fertility Preservation, Gynecologic Cancers

In brief

The research was designed as a randomized controlled study to determine the effectiveness of a modular cloud-based training platform in increasing awareness of fertility preservation. The study aims to develop a free, modular, cloud-based, sustainable digital platform to increase fertility awareness. The platform will provide basic information on fertility preservation methods in plain language to support informed decisions. Content will be based on European Society of Human Reproduction and Embryology (ESHRE) , International Federation of Gynaecology and Obstetrics (FIGO) and Asian Society of Gynecologic Oncology (ASCO) guidelines. The study targets not only cancer patients but also women requesting fertility preservation for medical or social reasons. In the first stage, the platform will be designed with the ADDIE instructional design model (Analysis, Design, Development, Implementation, Evaluation) and content created per international guidelines. In the second stage, the prototype will be pilot-tested and revised. In the third stage, effectiveness will be tested through a randomized controlled trial. Educational modules will be provided to the intervention group, while the control group will receive brochures. The study will include women aged 18-45 with early-stage gynecological cancer (cervix, ovary, tube, endometrium) at Prof. Dr. Cemil Tascioglu City Hospital, untreated. Participants must have Turkish literacy and internet access. Sample size, calculated with G\*Power, is 140 total (70 per group).

Key facts

Study ID
NCT07642531
Run by
Biruni University
People needed
140
Starts
2026-09-02
Expected to finish
2027-01-01
Last updated by the study team
2026-06-12

Who can join

Age: 18 and older, up to 45. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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