npj Digital Medicine (Oct 2023)

The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management

  • Anabela C. Areias,
  • Maria Molinos,
  • Robert G. Moulder,
  • Dora Janela,
  • Justin K. Scheer,
  • Virgílio Bento,
  • Vijay Yanamadala,
  • Steven P. Cohen,
  • Fernando Dias Correia,
  • Fabíola Costa

DOI
https://doi.org/10.1038/s41746-023-00936-2
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 11

Abstract

Read online

Abstract Digital interventions have emerged as a solution for time and geographical barriers, however, their potential to target other social determinants of health is largely unexplored. In this post-hoc analysis, we report the impact of social deprivation on engagement and clinical outcomes after a completely remote multimodal musculoskeletal (MSK) digital care program managed by a culturally-sensitive clinical team. Patients were stratified in five categories according to their social deprivation index, and cross-referenced with their race/ethnicity, rurality and distance to healthcare facilities. From a total of 12,062 patients from all U.S. states, 8569 completed the program. Higher social deprivation was associated with greater baseline disease burden. We observed that all categories reported pain improvements (ranging from −2.0 95%CI −2.1, −1.9 to −2.1 95%CI −2.3, −1.9, p < 0.001) without intergroup differences in mean changes or responder rates (from 59.9% (420/701) to 66.6% (780/1172), p = 0.067), alongside reduction in analgesic consumption. We observed significant improvements in mental health and productivity across all categories, with productivity and non-work-related functional recovery being greater within the most deprived group. Engagement was high but varied slightly across categories. Together these findings highlight the importance of a patient-centered digital care program as a tool to address health inequities in musculoskeletal pain management. The idea of investigating social deprivation within a digital program provides a foundation for future work in this field to identify areas of improvement.