P-108 - Personalized Chronic Pain Management: Assessing the Societal Impact and Cost-Effectiveness of PainDrainer®

Abstract Title: Personalized Chronic Pain Management: Assessing the Societal Impact and Cost-Effectiveness of PainDrainer^®


Background:
The fundamental goal of pain rehabilitation processes is to optimize an individual's self-rated quality of life. Technological advancements in pain management provide the potential for tailored solutions to enhance patients' well-being, addressing the multifaceted nature of persistent pain. Digital self-guided pain management approaches offer an efficient, secure, and easily accessible treatment pathway. The multicenter clinical trial of Paindrainer found significant improvements in pain management and physical function using the tool over 12 weeks ⁽¹⁾. This study aims to estimate the societal benefits, including health gains, productivity gains, and healthcare cost savings associated with the use of Paindrainer.





In health economics, quality-adjusted life-years (QALYs) are used to estimate health benefits, combining quality-of-life with duration. Quality-of-life is assessed using preference-based weights derived from value set studies, transforming questionnaire results into these weights. Two value sets for PROMIS instruments were utilized in this study^{(2, 3)}, and the trial's PROMIS results were translated using both value sets.


Purpose/Objectives:
The study aimed to analyze the health economic effects of Paindrainer®, a neural network-powered, 360° patient-centric digital self-management tool for pain treatment.



Methods:
A multicenter clinical trial conducted in the US involved patients with chronic low back or neck pain. Outcomes were measured using PROMIS instruments and translated into quality-adjusted life-years (QALYs) using two value sets. Productivity gains were estimated based on increased daily work capacity, and healthcare cost savings were calculated from reductions in treatment and medication use.



Results:
Health economics calculations estimated the total societal gain for the use of Paindrainer at around $8,700 per patient per year, comprising a monetized health gain ($4,550 per patient per year), production gain ($3,370 per patient per year), and healthcare cost savings ($797 per patient per year) ⁽⁴⁾. These calculations are based on the clinical outcomes, where pain interference, significantly decreased from baseline at both 6 and 12 weeks (p< 0.0001 and p=0.020, respectively), with an overall reduction in 73.8% of the subjects. Secondary outcomes improved physical function (72.5%), reduced anxiety (81.3%) and depression (100%), and significant decreased pain intensity were observed (p< 0.05). The digital tool also enhanced work capacity by over 1 hour /day in more than 50% of subjects.


Conclusions/Implications for future research and/or clinical care:
Self-managing chronic pain with a neural network-powered digital coach grounded in behavioral health principles has demonstrated significant improvements in pain interference, physical function, depression, anxiety, and pain catastrophizing over a 12-week study. Health economic calculations based on these results suggest that Paindrainer offers substantial societal gains, estimated at $8,700 per patient per year, through health benefits, productivity increases, and healthcare cost reductions. Paindrainer with a proven clinical efficacy offers a cost-effective, patient-centric approach to chronic pain management with promising implications for the future of personalized pain treatments. However, further long-term research is necessary to confirm these benefits.


Additionally, Paindrainer integrated with a remote monitoring platform for healthcare providers can effectively employ a person-centered care process within the healthcare system at all levels. This integration can provide increased continuity and security for patients during and between care contacts, as well as enhance collaboration within and between levels of care.



References:
1. Barreveld A, Rosén Klement M, Cheung S, Axelsson U, Basem J, Reddy A, et al. An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: A prospective, multicenter clinical trial Not published - submitted 2023.





2. Dewitt B, Feeny D, Fischhoff B, Cella D, Hays RD, Hess R, et al. Estimation of a Preference-Based Summary Score for the Patient-Reported Outcomes Measurement Information System: The PROMIS((R))-Preference (PROPr) Scoring System. Med Decis Making. 2018;38(6):683-98.





3. Craig BM, Reeve BB, Brown PM, Cella D, Hays RD, Lipscomb J, et al. US valuation of health outcomes measured using the PROMIS-29. Value Health. 2014;17(8):846-53.





4. IHE, https://ihe.se