Individual-Level Effects of a Digital Behavioural Treatment for Chronic Pain: Proof-of-Concept of a Single-Case...

Chronic pain affects 20%-30% of the population worldwide, leading to significant distress, disability and financial burden. Pain management strategies focusing on pain reduction have shown limited effects on functioning; however, behavioural treatments aimed at enhancing resilience have demonstrated strong empirical support. Digital solutions offer new opportunities for delivering evidence-based treatments, but evaluation at the individual level is needed. The aim of this study is to examine individual-level treatment effects of a digital behavioural treatment for chronic pain in a heterogeneous sample.

A study with a single-case experimental design (SCED) was conducted with participants (N = 11) experiencing chronic pain (> 3 months) recruited through healthcare. Participants were randomised at baseline (5-10-day A-phase) and completed a 6-module digital treatment based on learning theory and well-established theories applied to chronic pain (6-8-week B-phase), with weekly therapist contact. Digital diaries, prompted twice daily, tracked psychological flexibility and acceptance, pain-related functioning, pain intensity and well-being. Data were analysed using visual analysis and effect size calculations.

N = 11 enrolled and data from n = 10 were analysed (n = 1 refused digital diary, n = 2 partial completers, n = 8 full completers). Pain profiles varied (e.g., chronic migraine, fibromyalgia, lower back pain, etc.). Several participants benefited from the treatment, though results varied across individuals and across outcomes.

The digital behavioural treatment showed promise in addressing diverse pain profiles and associated functioning. The variability in responses highlights the benefit of using SCED to explore individual-level effects, thus offering a methodological proof-of-concept. Findings support further development, including tailoring to match individual needs.

This proof-of-concept study provides support for the utility of digital behavioural interventions and individual-level evaluation of treatment effects, highlighting the potential of personalised pain treatments. The findings contribute to the growing body of support for digital solutions as effective and accessible approaches to improve functioning and resilience for people with diverse pain experiences.