ePROPP - eHealth for Preventing and Reducing Orofacial Pain in the Population

The World Health Organization (WHO) emphasizes oral health as a key indicator of overall wellbeing. Poor oral health, especially when associated with pain, severely impacts individuals by reducing their quality of life. Orofacial pain is the third most common chronic pain, after knee and neck/back pain, and affects more than 10% of the adult population worldwide. In common with other chronic pain conditions, orofacial pain is a multi-factorial condition involving biological, psychological, and social factors - all encompassed in the biopsychosocial model. Contributing factors to pain, such as stress and anxiety are increasing, highlighting the need to identify and manage patients to counteract this growing problem. One potential risk factor for orofacial pain is muscle and joint overload due to stress-related tooth clenching and grinding. It is therefore important to evaluate and modify behaviours related to such overload.

Shortage of resources results in many patients not receiving treatment. In addition to the suffering experienced by affected individuals, chronic pain also significantly impacts family members, and leads to increased healthcare costs and a substantial societal burden.

Effective treatments, such as cognitive behavioural therapy (CBT), are available, but time-consuming, requiring repeated visits to care providers. Consequently, the incorporation of eHealth solutions utilizing mobile technology and internet-based therapy has been recommended. The implementation of eHealth, defined as "the use of information and communications technology in support of health and health-related fields" is advocated by the WHO to "accelerate global attainment of health and wellbeing". The recent development of smartphone and internet-based applications offers a promising avenue for cost-effectiveness and equity in health care

Traditional treatment of orofacial pain with oral splints requires repeated dental visits and incur significant costs together with additional technician costs for splint fabrication. A digital behavioural intervention could offer a drastically more cost-effective solution, reduce patients' suffering and the number of treatment visits, thereby easing the burden on the current waiting lists for patients with orofacial pain that in many regions can be a year or more. The project will investigate whether digital behavioural intervention can serve as a cost-effective alternative to traditional occlusal splint therapy for managing orofacial pain. By integrating real-time data collection and intervention, patients can be offered personalized, accessible treatment that seamlessly integrate into daily life. The availability of cost-effective eHealth solutions is especially relevant in regions with limited access to health care due to geographical distances or shortage of health care providers. Moreover, eHealth medical care can also be invaluable in situations for patients who are homebound for any reason.

This project aims to gain unique knowledge into the core mechanisms of pain and evaluate a novel multimodal person-centred eHealth approach for management of orofacial pain.

The overarching goal is to develop and evaluate a cost-effective eHealth tool for management of orofacial pain in collaboration with health care providers, facilitating large scale implementation in the population. The non-inferiority hypothesis: Treatment with a smartphone based behavioural intervention is not inferior to treatment with occlusal splint.

The superiority hypothesis: Compared to waiting list, a smartphone based behavioural intervention can reduce orofacial pain.

The results from this project can enable a broad implementation of an eHealth treatment that conserves resources, helping to address the current resource shortages in healthcare.

• Cost-effectiveness [Time frame: From enrolment to 3 month follow-up]
• Stress-levels [Time frame: From enrolment to 3 month follow-up]
• Changes in general well-being [Time frame: From enrolment to 3 month follow-up]
• Correlation between pain and overload [Time frame: From enrolment to 3 month follow-up]