Population-based Study of Health Disparities in Migraine Diagnosis and Treatment in American Indian Arizona Medicaid Recipients
Jessalyn Shen1, Nan Zhang1, Michael Stitzer2, Todd Schwedt1, Juliana VanderPluym1
1Mayo Clinic, 2Winslow Indian Health Care Center
Objective:

Investigate health disparities by assessing the likelihood of receiving a migraine diagnosis and migraine-specific treatment among American Indian (AI) Arizona Medicaid (AHCCCS) recipients.

Background:
AI and Alaskan Natives have the highest prevalence of migraine and severe headaches compared to other racial groups. Nationally, AI represent 1.1% of the population. In Arizona, they represent 4.5% and account for 8% of AHCCCS recipients.
Design/Methods:
AHCCCS members aged 3 and older, who self-identified as AI, with an enrollment gap of no more than 45-days per year between 2018 and 2020 were included. Demographic characteristics, comorbid diagnoses, and social risk factors (based on ICD Z codes) were compared using ANOVA F-tests or Chi-squared tests, with multivariate logistic regression used to investigate associations.
Results:
Identifying as AI rather than White reduced the likelihood of receiving a migraine diagnosis (Pediatric 0.65 (95% CI: 0.59, 0.71) p<0.001; Adult 0.6 (95% CI:  0.58, 0.62) p<0.001) and migraine specific treatments (Pediatric 0.76 (95% CI: 0.59, 0.99) p=0.042; Adult 0.5 (95% CI: 0.46, 0.55) p<0.001) . Residing in an urban setting increased the likelihood of a migraine diagnosis (Pediatric 1.33 (95% CI: 1.08, 1.64) p=0.007; Adult 1.15 (95% CI: 1.07, 1.24) p<0.001). Urban residence did not affect the likelihood of pediatric AI receiving a migraine specific treatment but increased the likelihood for adult AI (1.71 (95% CI: 1.41, 2.07) p<0.001). Negative social factors decreased the likelihood of adult AI receiving a diagnosis of migraine (Ex. housing, basic amenity and environment factor 0.61 (95% CI: 0.53,0.71) p<0.001).
Conclusions:
AI were less likely to receive a migraine diagnosis and migraine-specific treatment. Interventions that address migraine healthcare disparities amongst AI are needed.
10.1212/WNL.0000000000210381
Disclaimer: Abstracts were not reviewed by Neurology® and do not reflect the views of Neurology® editors or staff.