Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Randomized Study of a Dematerialized Management for Post-Emergency Gynecological Follow-Up

Assistance Publique - Hôpitaux de Paris · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
abortiondigital-healthfemalepatient-satisfactiontelehealth
The GYNAB study aims to compare patient satisfaction and clinical outcomes between dematerialized post-emergency gynecological follow-up using a connected health app and traditional in-person follow-up. Conducted by Drs. Laëtitia CAMPIN and Louis MARCELLIN at Hôpital Cochin, it is sponsored by Assistance Publique - Hôpitaux de Paris. The main objective is to assess patient satisfaction at day 7 on a scale from 0 to 10, considering symptom management, follow-up quality, and task performance. Secondary objectives include comparing satisfaction at day 28, PROM-ED scores for symptom relief, understanding, reassurance, and care planning at days 7 and 28, hospitalization rates, unscheduled consultations, surgical interventions, total hospital time by day 28, and physician satisfaction at 28 days. This randomized trial involves women aged 18-60 needing follow-up for conditions like genital infections, non-complicated ectopic pregnancies, unlocated pregnancy, first trimester metrorrhagia, miscarriages , and severe vomiting before 12 weeks. Inclusion criteria are women aged 18-60 needing specified follow-up. Exclusion criteria are severe clinical intolerance, severe criteria ultrasound findings, non-French speakers, and inability to use digital applications. The intervention group uses a connected health app for data collection and communication, logging symptoms and test results, with medical team notifications for urgent updates. The control group receives traditional in-person follow-up with scheduled consultations and emergency contact information. The study hypothesizes that digital follow-up will improve patient experience, reduce hospital visits, and provide comparable or superior satisfaction and clinical outcomes. The results could promote broader digital health adoption in various medical fields.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 890211
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive