Scientific Justification:
Emergency gynecological consultations are frequent reasons for hospital visits. Some clinical situations require scheduled follow-up to assess the progression of the initial condition through targeted questioning and additional tests such as blood work or pelvic ultrasounds. Digital health platforms, utilizing AI algorithms, have proven valuable in telehealth, appointment scheduling, personalized care, and prevention. These platforms allow secure, asynchronous follow-up, potentially enhancing patient experience and reducing unnecessary hospital visits.
Platform Capabilities: The secure platforms offer features like messaging, video consultations, document scanning, smart medical note-taking, shared medical records, structured questionnaires, and automatic extraction of standardized medical information from consultations, lab results, and other medical documents. Using machine learning, these platforms assist in structuring medical decisions while enabling patients to be active participants in their care.
Evaluation Criteria:
Post-emergency gynecological follow-up is not standardized. Iterative, unscheduled emergency visits can indicate poor care quality, though repeated scheduled visits are sometimes necessary for follow-up and not indicative of poor quality. Patient satisfaction, measured using validated tools like PROMs (Patient-Reported Outcome Measures), is a useful criterion for evaluating care quality. PROMs are increasingly used to assess healthcare quality and patient management, and their digitized, secure, and easily accessible formats allow efficient and standardized data collection.
PROM-ED Questionnaire:
A validated Canadian PROM-ED questionnaire evaluates patient experiences and satisfaction with emergency care, focusing on symptom relief, understanding, reassurance, and care planning. This standardized tool is appropriate for evaluating satisfaction with emergency gynecological care.
Hypothesis:
We hypothesize that dematerialized follow-up using a connected health app will improve patient experience, reduce hospital visits, and lower hospitalization rates compared to traditional follow-up.
Primary Objective:
Compare overall patient satisfaction between dematerialized post-emergency follow-up at home using a health app and traditional in-person follow-up at the hospital seven days after the initial consultation. Satisfaction will be assessed on a scale from 0 to 10, considering symptom management, follow-up quality, and task performance.
Secondary Objectives:
1. Compare satisfaction at 28 days.
2. Evaluate PROM-ED scores for symptom relief, understanding, reassurance, and care planning at days 7 and 28.
3. Assess hospitalization rates by day 28.
4. Assess unscheduled emergency consultations during the study.
5. Assess surgical intervention rates by day 28.
6. Assess total hospital time by day 28.
7. Evaluate physician satisfaction at 28 days.
Design: Randomized superiority trial involving women aged 18-60 consulting for specific gynecological conditions requiring post-emergency follow-up. Inclusion criteria are women aged 18-60 needing specified follow-up. Exclusion criteria are severe clinical intolerance, significant ultrasound findings, non-French speakers, and inability to use digital applications.
Intervention Group: Uses a connected health app for data collection and communication, logging symptoms and test results, with medical team notifications for urgent updates. Patients will record vital signs at nearby pharmacies and log symptoms like pain, bleeding, and vomiting.
Control Group: Receives traditional in-person follow-up with scheduled consultations and emergency contact information.
Data Collection and Randomization: Patients will be randomized into either the intervention or control group. Data will be collected via secure digital platforms, with follow-up evaluations at days 7 and 28. Clinical data will be pseudonymized and securely stored.
Expected Benefits: Improved patient coordination and care efficiency, reduced hospital visits, enhanced access to care, and reduced healthcare costs. The study aims to validate the feasibility and effectiveness of digital health solutions in post-emergency gynecological care. If successful, this could lead to broader adoption of such technologies in various medical fields.
Risks: The study poses minimal risks as it includes patients with stable conditions and ensures continuous monitoring through digital platforms with emergency response capabilities.
Participants: 200 women (100 per group) will be included, based on previous satisfaction scores. Inclusion criteria ensure patient stability and ability to use the digital platform.
Duration: Inclusion will last 24 months, with a 28-day follow-up period for each patient.
Statistical Analysis: Conducted by the statistical team led by Prof. Pierre-Yves Ancel at Université de Paris.
Funding: Private funding by NABLA (40%) and public funding by BPI (60%).
