Pain Care Disparities and the Use of Virtual Care Among Racial-Ethnic Minority Groups During COVID-19.

Sarah J Javier, Evan P Carey, Elise Gunzburger, Huang-Yuan P Chen, Steven B Zeliadt, Emily C Williams, Jessica A Chen
Author Information
  1. Sarah J Javier: Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road (152-MPD), Menlo Park, CA, 94025, USA. Sarah.Javier@va.gov. ORCID
  2. Evan P Carey: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Denver, CO, USA.
  3. Elise Gunzburger: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Denver, CO, USA.
  4. Huang-Yuan P Chen: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Denver, CO, USA.
  5. Steven B Zeliadt: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA.
  6. Emily C Williams: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA.
  7. Jessica A Chen: Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA.

Abstract

BACKGROUND AND OBJECTIVE: COVID-19 led to an unprecedented reliance on virtual modalities to maintain care continuity for patients living with chronic pain. We examined whether there were disparities in virtual specialty pain care for racial-ethnic minority groups during COVID-19.
DESIGN AND PARTICIPANTS: This was a retrospective national cohort study with two comparison groups: primary care patients with chronic pain seen immediately prior to COVID-19 (3/1/19-2/29/20) (N = 1,649,053) and a cohort of patients seen in the year prior (3/1/18-2/28-19; n = 1,536,954).
MAIN MEASURES: We assessed use of telehealth (telephone or video) specialty pain care, in-person care specialty pain care, and any specialty pain care for both groups at 6 months following cohort inclusion. We used quasi-Poisson regressions to test associations between patient race and ethnicity and receipt of care.
KEY RESULTS: Prior to COVID-19, there were Black-White (RR = 0.64, 95% CI [0.62, 0.67]) and Asian-White (RR = 0.63, 95% CI [0.54, 0.75]) disparities in telehealth use, and these lessened during COVID-19 (Black-White: RR = 0.75, 95% CI [0.73, 0.77], Asian-White: RR = 0.81, 95% CI [0.74, 0.89]) but did not disappear. Individuals identifying as American Indian/Alaska Native used telehealth less than White individuals during early COVID-19 (RR = 0.98, 95% CI [0.85, 1.13] to RR = 0.87, 95% CI [0.79, 0.96]). Hispanic/Latinx individuals were less likely than non-Hispanic/Latinx individuals to use telehealth prior to COVID-19 but more likely during early COVID-19 (RR = 0.70, 95% CI [0.66, 0.75] to RR = 1.06, 95% CI [1.02, 1.09]). Disparities in virtual pain care occurred over the backdrop of overall decreased specialty pain care during the early phase of the pandemic (raw decrease of n = 17,481 specialty care encounters overall from pre-COVID to COVID-era), including increased disparities in any VA specialty pain care for Black (RR = 0.81, 95% CI [0.80, 0.83] to RR = 0.79, 95% CI [0.77, 0.80]) and Asian (RR = 0.91, 95% CI [0.86, 0.97] to RR = 0.88, 95% CI [0.82, 0.94]) individuals.
CONCLUSIONS: Disparities in virtual specialty pain care were smaller during the early phases of the COVID-19 pandemic than prior to the pandemic but did not disappear entirely, despite the rapid growth in telehealth. Targeted efforts to increase access to specialty pain care need to be concentrated among racial-ethnic minority groups.

Keywords

References

  1. Transl Behav Med. 2023 Aug 11;13(8):601-611 [PMID: 37030012]
  2. Pediatrics. 2020 May;145(5): [PMID: 32312910]
  3. J Exp Psychol Gen. 2019 May;148(5):863-889 [PMID: 31070440]
  4. JAMA. 2016 Apr 19;315(15):1624-45 [PMID: 26977696]
  5. Health Serv Res. 2000 Feb;34(6):1273-302 [PMID: 10654830]
  6. Pain Med. 2015 Jan;16(1):112-8 [PMID: 25039721]
  7. Proc Natl Acad Sci U S A. 2016 Apr 19;113(16):4296-301 [PMID: 27044069]
  8. J Psychosom Res. 2021 Sep;148:110557 [PMID: 34225001]
  9. Med Care. 2019 Dec;57(12):924-929 [PMID: 31730566]
  10. J Am Med Inform Assoc. 2013 Dec;20(e2):e275-80 [PMID: 23904323]
  11. Pain. 2017 Apr;158 Suppl 1:S11-S18 [PMID: 27902569]
  12. Pain Med. 2014 Jun;15(6):965-74 [PMID: 24506332]
  13. Womens Health Issues. 2018 Sep - Oct;28(5):379-386 [PMID: 30174254]
  14. JAMA. 2016 Aug 2;316(5):538-40 [PMID: 27483069]
  15. J Gen Intern Med. 2010 Mar;25(3):194-9 [PMID: 20013069]
  16. J Am Med Inform Assoc. 2021 Mar 1;28(3):453-462 [PMID: 33125032]
  17. Psychol Serv. 2021 Aug;18(3):310-318 [PMID: 31944817]
  18. Internet Interv. 2016 Jan 03;4:17-34 [PMID: 30135787]
  19. Pain Med. 2020 May 1;21(5):970-977 [PMID: 31886869]
  20. JAMIA Open. 2022 Dec 15;5(4):ooac103 [PMID: 36531138]
  21. J Health Soc Behav. 1995 Mar;36(1):1-10 [PMID: 7738325]
  22. Pain Med. 2021 Feb 4;22(1):75-90 [PMID: 33367911]
  23. J Pain Res. 2021 Aug 24;14:2629-2639 [PMID: 34466030]
  24. Patient Educ Couns. 2019 Jan;102(1):139-147 [PMID: 30266266]
  25. Harv Rev Psychiatry. 2015 Mar-Apr;23(2):76-89 [PMID: 25747921]
  26. J Rural Health. 2023 Jun;39(3):595-603 [PMID: 36695646]
  27. Arthritis Care Res (Hoboken). 2018 Feb;70(2):236-243 [PMID: 28589671]
  28. J Pain. 2019 Dec;20(12):1429-1445 [PMID: 31129316]
  29. PLoS One. 2020 Sep 3;15(9):e0237650 [PMID: 32881940]
  30. Gerontologist. 2019 Jan 9;59(1):6-14 [PMID: 30452660]
  31. J Telemed Telecare. 2018 Jun;24(5):341-355 [PMID: 28403669]
  32. J Gen Intern Med. 2018 May;33(Suppl 1):16-23 [PMID: 29633133]
  33. Pain Med. 2019 Feb 1;20(2):223-232 [PMID: 29688509]
  34. J Am Med Inform Assoc. 2019 Aug 1;26(8-9):696-702 [PMID: 30924875]
  35. MMWR Morb Mortal Wkly Rep. 2018 Sep 14;67(36):1001-1006 [PMID: 30212442]
  36. Jt Comm J Qual Patient Saf. 2011 Oct;37(10):437-45 [PMID: 22013816]
  37. Pain. 2020 Nov;161(11):2437-2445 [PMID: 32826752]

Grants

  1. I50 HX003430/HSRD VA
  2. IK2 HX002866/HSRD VA

MeSH Term

Humans
United States
Ethnicity
COVID-19
Cohort Studies
Retrospective Studies
Chronic Pain
Pandemics
Ethnic and Racial Minorities
Minority Groups
White

Word Cloud

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