Developing a Psychosexual Education App With Artificial Intelligence
NCT07152847 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150
Last updated 2025-09-10
Summary
The goal of this clinical trial is to establish the effectiveness of a resource based educational psychosexual app for patients attending a waiting list for psychosexual therapy. The app will provide information on sexual dysfunction, kegel exercises, cognitive and mindfulness exercises, along with suitable resources providing information on sexual functioning for men and women. The app will integrate artificial intelligence to improve user experience and efficiency.
The current waiting lists for the National Health Service Psychosexual services are approximately 6 months. Based on this, a pre test post test study measuring participants' sexual functioning, well being, cognitive mindfulness and quality of life will be taken at points 0, 8 and 16 weeks.
Outcomes will assess whether the app was sufficient for these domains. This might further reduce the strain on the National Health Service's resources.
It is hypothesised that app use from weeks 0, 8, and 16 follow up will improve sexual functioning, well being, quality of life, and cognitive mindfulness.
Conditions
- Sexual Dysfunction
Interventions
- OTHER
-
Psychosexual education app with artificial intelligence
Development of the App will contain the following features: 1. A basic Mac for iphone Operating System development 2. General Data Protection Regulation compliance legal certification 3. Hosting and cloud services 4. Security Features: for encryption and secure authentication user sign in 5. Analytics Integration: for integrating app analytics tools 6. Push Notifications: incorporated into the app 7. Legal and Compliance additional General Data Protection Regulation certified 8. Custom Artificial Intelligence Models Interactive Learning Tools Artificial Intelligence will create interactive educational materials on sexual function and dysfunction 9. Artificial Intelligence cloud services 10. Natural Language Processing. Artificial Intelligence will process textual data from the feedback questions to identify emerging topics and concerns in sexual function and participants' experiences using the app.
Sponsors & Collaborators
-
Homerton University Hospital NHS Foundation Trust
collaborator OTHER -
Barts & The London NHS Trust
collaborator OTHER -
London Metropolitan University
lead OTHER
Principal Investigators
-
Samantha Banbury · London Met Uni
Study Design
- Allocation
- NA
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-09-30
- Primary Completion
- 2026-12-31
- Completion
- 2027-03-31
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