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.

Sexual dysfunction is a group of disorders which affect male and female sexual functioning and negatively impact self-esteem, sexual self efficacy and well being. For women, sexual dysfunction may include sexual interest and arousal disorder, orgasmic disorder, Genito-pelvic pain penetration disorder and substance and medication induced sexual dysfunction. For men, sexual dysfunction may include erectile dysfunction, premature ejaculation or rapid ejaculation, delayed ejaculation, hypoactive sexual desire disorder and substance and medication induced sexual dysfunction.

As part of psychosexual counselling, varied integrative approaches are used quite often, including brief cognitive behavioural therapy, which extends over 6 to 8 sessions. Interventions might also include the use of mindful compassion for varying psychosexual presentations, which are practised in some National Health Services.

An additional adjunct intervention might include psychosexual education. Psychosexual education is diverse and provides information and resources on all aspects of sexual functioning, guidelines and motivational strategies for engaging in varied sexual activities, sexual intimacy and anatomy. Psychosexual education may provide information on sexual health knowledge. These can be delivered in various formats, such as educational programs, face to face education, and internet based and virtual interventions. Recent applications have centred on e learning, including computer based, online and offline presentations. Using an e learning delivery in healthcare services challenges the barriers of resources, time and space. Talking about sex might prove discomforting or embarrassing; for some, cultural, gender or religious factors might further compound open dialogue on sexual matters. Using an e learning approach might target a wider geographic demographic, making it easier for diverse people to access evidence based information whilst minimising discomfort or embarrassment.

One such e learning delivery system is smartphone applications. Most apps included Kegel exercises and working with thoughts and emotions.

Artificial Intelligence has recently been incorporated into apps to improve user experience and efficiency. Artificial intelligence can identify trends in sexual health, behaviour, and attitude. Artificial Intelligence can teach sexuality, sexual health, and behaviour with limited or no human interaction needed.

Limited evidence based psychosexual educational apps are incorporating artificial intelligence to support sexual functioning among men and women. More so among those on a waitlist for National Health Service psychosexual therapeutic support. Indeed, despite the diverse range of biopsychosocial approaches provided by the National Health Service to support sexual dysfunction, waiting lists can be up to 6 months. Therefore, a waiting period without support might further impact sexual function, sexual health, well being and quality of life.

This initial study will target patients on the National Health Service waiting list for psychosexual therapy. This will consist of a psychosexual education app integrating artificial intelligence. Pre test post test measurements will be taken at 0, 8, and 16 weeks, aligning with National Health Service waiting periods. Outcomes will assess well being, quality of life, cognitive mindfulness, sexual functioning, and whether the app was sufficient for participants difficulties. This might further reduce the strain on National Health Service 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.

Inclusion Criteria:

• Must be aged 18 years and above
• Must have a laptop, computer, or mobile phone. The App can only be accessed on smartphones and laptops.
• Must have been referred to the National Health Service with a psychosexual presentation
• Must be currently awaiting psychosexual therapy
• Must have been on a National Health Service psychosexual waiting list for less than one month
• Must be fluent in reading and writing English, as this is a clinical trial, the investigators wanted to ensure that participants fully understand what was expected.
• The Patient Health Questionnaire 2 screening for depression must have a score range between 0 to 2 negative
• The Generalised Anxiety Disorder questionnaire 2 screening for anxiety must have a score range between 0 to 2 negative

Exclusion Criteria:

• Aged below 18 years
• Do not possess a mobile phone, computer or laptop
• Are not part of a National Health Service referral system
• Do not have a psychosexual presentation
• Are currently or starting psychosexual therapy
• Have difficulties understanding or speaking English
• The Patient Health Questionnaire 2 screening outcomes 3 and above
• The Generalised Anxiety Disorder questionnaire 2 screening outcomes 3 and above

Self defined male or female based on the assessments used

The National Health Service will anonymise data before analysis. This will need to be confirmed whether the data can be made available for analysis due to ethical considerations.