Internet-based Acceptance and Commitment Therapy for Chronic Pain

Authors
Category Primary study
Registry of Trialsclinicaltrials.gov
Year 2018
Acceptance and Commitment Therapy (ACT) delivered face-to-face is an empirically supported intervention for the management of chronic pain (CP). However, increasing demands for cost reduction in healthcare services in addition to obstacles regarding physical access to treatment, highlight the need for innovative, cost-reducing, digital self-management interventions. Poor user engagement nonetheless, is a significant challenge often faced in digital interventions, which often results in poor adherence or even non-completion in treatment. In addition, very few digital trials appear to plan for adherence a-priori, when designing an intervention. To date there are only two ACT-based digital interventions for CP demonstrating significant improvements in pain-related disability and increased functioning, yet with small to medium effect sizes and poor adherence rates. However, several limitations of the studies such as the absence of a-priori adherence planning and lack of investigation of underlying mechanisms, makes it difficult to draw clear conclusions on the effectiveness of this new treatment modality for chronic pain and warrants further research. This study seeks to: a) explore how a brief adherence-planned digital ACT-based intervention for CP management, compared to an active control group and a wait-list control group improves targeted study outcomes such as functioning and quality of life, and b) investigate which processes of change mediate the targeted study outcomes. It is hypothesized that the brief ACT-based digital intervention in comparison to the active control group and wait-list will result in increased functioning, improved quality of life and reduced pain intensity. The results of the study are expected to shed more light on the utility of planning for adherence in digital interventions and effectiveness of ACT-based digital interventions and their underlying mechanisms in the management of CP.
Epistemonikos ID: 0b0afa0849df133e2bb18bf74a14b5b42176a773
First added on: May 21, 2024