Cardiovascular

Race- and Neighborhood-Level Social Determinants of Health in Diagnosis and Treatment of Atrial Fibrillation.

TL;DR

In this retrospective claims-based cohort of greater Philadelphia residents, AF diagnosis rates declined with worsening neighborhood-level disadvantage among non-Hispanic Black individuals but increased among non-Hispanic White individuals, while anticoagulant prescription conditional on diagnosis was similar across race and ethnicity groups.

Key Findings

Non-Hispanic Black patients were less likely than non-Hispanic White patients to be diagnosed with AF, with an effect at the margin of statistical significance.

  • Cohort included 504,876 patients from Independence Blue Cross claims (2017-2021); 67,362 (13.3%) were non-Hispanic Black and 437,514 (86.7%) non-Hispanic White.
  • 27,249 patients (5.1%) were diagnosed with AF during the study period.
  • Odds of AF diagnosis for Black vs White patients: OR, 0.91; 95% CI, 0.82-1.00.

The race-related difference in AF diagnosis widened with increasing neighborhood disadvantage, as shown by a significant race-by-SBI interaction.

  • Interaction between race and ethnicity and social barrier index (SBI): OR, 0.90; 95% CI, 0.86-0.95.
  • Higher SBI denotes more vulnerable neighborhoods.

The association between neighborhood SBI and AF diagnosis ran in opposite directions for Black and White individuals.

  • For Black individuals, a one-unit increase in SBI was associated with decreased odds of AF diagnosis (OR, 0.94; 95% CI, 0.90-0.99).
  • For White individuals, a one-unit increase in SBI was associated with increased odds of AF diagnosis (OR, 1.05; 95% CI, 1.03-1.07).

Among patients diagnosed with AF, 58% had an anticoagulant prescription, and the race-by-SBI interaction for anticoagulant prescription was significant at the margin.

  • 15,722 (58%) of those with AF had an anticoagulant prescription from pharmacy claims.
  • Interaction between race and ethnicity and SBI for prescription: OR, 1.10; 95% CI, 1.00-1.20, suggesting filled prescription patterns differed by race and ethnicity with SBI.

Conditional on an AF diagnosis, anticoagulant prescription rates were similar across race and ethnicity groups.

  • This was the authors' overall conclusion for the secondary outcome.
  • Suggests disparities lie mainly in detection/diagnosis rather than treatment after diagnosis.

The study population was middle-aged and majority female, drawn from Medicare Advantage and commercially insured individuals.

  • Mean (SD) age was 48 (18) years.
  • 267,596 (53.0%) were female.
  • Baseline characteristics were assessed in 2017 with follow-up 2018 through 2021.

The authors conclude that targeted interventions in more marginalized neighborhoods are needed to increase AF detection.

  • Diagnosis rates fell with worsening neighborhood disadvantage among Black individuals but rose among White individuals.

What This Means

This study used insurance claims from over 500,000 people in the greater Philadelphia area to look at who gets diagnosed with atrial fibrillation (AF), an irregular heart rhythm that raises the risk of stroke, and who receives blood-thinning medication. About 5% were diagnosed with AF. Black patients were slightly less likely than White patients to be diagnosed, and this gap grew in more disadvantaged neighborhoods. The pattern differed by race. Among White individuals, living in a more disadvantaged neighborhood was linked to higher odds of an AF diagnosis, whereas among Black individuals it was linked to lower odds. This may suggest that AF goes undetected in Black residents of disadvantaged neighborhoods, though the study cannot say why. Once people were diagnosed, about 58% had a blood thinner prescription, and rates were broadly similar across racial groups. This research suggests that efforts to close gaps in AF care may need to focus on detection, especially in marginalized neighborhoods, rather than only on treatment after diagnosis. The study is based on insurance claims in one region among insured people, so the findings may not apply to uninsured people or other areas, and it shows associations rather than causes.

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Citation

Amagai K, Nadji A, Berkowitz M, Venkataramani A, Dixon E. (2026). Race- and Neighborhood-Level Social Determinants of Health in Diagnosis and Treatment of Atrial Fibrillation.. JAMA network open. https://doi.org/10.1001/jamanetworkopen.2026.40279