Abstract 4146473: Regional Differences in the Impact of Rurality on Ischemic Stroke Hospitalization Among Fee-for-Service Medicare Beneficiaries

Background: Stroke presents a significant burden to the health care system of the United States. Previous research has shown a higher rate of stroke mortality in rural compared to urban areas. Rural communities are highly heterogeneous, and less is known about the variation in stroke across rural communities. Therefore, we sought to examine the association between rurality and hospitalization for acute ischemic stroke across rural vs urban zip codes among US census geographic regions. Methods: We included fee-for-service Medicare beneficiaries with prevalent hypertension and/or diabetes followed from 2017 to 2021. Participants were categorized at the residential zip code level into metropolitan, micropolitan, small towns, and rural areas using Rural Urban Commuting Area Codes. Census geographic regions were categorized at the state level into Northeast, South, Midwest, and West. First hospitalization for ischemic stroke or TIA were identified using algorithms from Medicare claims. The association between rurality and stroke hospitalization was estimated in age, race, and sex adjusted models. Additional models were stratified according to census region. Results: We included 25,915,862 participants (age 73; 45% male; 97.6% hypertension; 41.6% diabetes; 75.5% metropolitan). Hypertension prevalence was similar across RUCA codes (98%) but diabetes prevalence was slightly lower (42% vs. 39%, metropolitan vs. rural zip codes). After a mean follow-up of 3.8 years, we observed 832,567 first stroke hospitalizations. The south had a higher event rate compared to all other regions (8.79 vs. 8.17 per 1,000 person-years). In multivariable-adjusted models, compared to metropolitan zip codes, stroke risk was similar across micropolitan and small town areas but lower among rural areas. A different pattern of results was observed across geographic regions, with a higher risk for stroke across categories of rural areas in the south but not in other geographic regions (see Table). Conclusion: The impact of rurality on stroke risk varies by geographic region, with a higher risk for stroke among rural zip codes in the south but not in other geographic regions. Further research is needed to characterize the causes of the variability in stroke risk across rural communities.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4146473
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4146473: Regional Differences in the Impact of Rurality on Ischemic Stroke Hospitalization Among Fee-for-Service Medicare Beneficiaries

Franco Quadri, Jarett D. Berry, Yordanos M. Tiruneh, Djhenne Dalmacy et al.
Circulation
Acute Ischemic Stroke Management
article

Abstract 4146473: Regional Differences in the Impact of Rurality on Ischemic Stroke Hospitalization Among Fee-for-Service Medicare Beneficiaries

Franco Quadri, Jarett D. Berry, Yordanos M. Tiruneh, Djhenne Dalmacy, Abdullah Rabah, Nitin Kanneganti
article en

Abstract

Background: Stroke presents a significant burden to the health care system of the United States. Previous research has shown a higher rate of stroke mortality in rural compared to urban areas. Rural communities are highly heterogeneous, and less is known about the variation in stroke across rural communities. Therefore, we sought to examine the association between rurality and hospitalization for acute ischemic stroke across rural vs urban zip codes among US census geographic regions. Methods: We included fee-for-service Medicare beneficiaries with prevalent hypertension and/or diabetes followed from 2017 to 2021. Participants were categorized at the residential zip code level into metropolitan, micropolitan, small towns, and rural areas using Rural Urban Commuting Area Codes. Census geographic regions were categorized at the state level into Northeast, South, Midwest, and West. First hospitalization for ischemic stroke or TIA were identified using algorithms from Medicare claims. The association between rurality and stroke hospitalization was estimated in age, race, and sex adjusted models. Additional models were stratified according to census region. Results: We included 25,915,862 participants (age 73; 45% male; 97.6% hypertension; 41.6% diabetes; 75.5% metropolitan). Hypertension prevalence was similar across RUCA codes (98%) but diabetes prevalence was slightly lower (42% vs. 39%, metropolitan vs. rural zip codes). After a mean follow-up of 3.8 years, we observed 832,567 first stroke hospitalizations. The south had a higher event rate compared to all other regions (8.79 vs. 8.17 per 1,000 person-years). In multivariable-adjusted models, compared to metropolitan zip codes, stroke risk was similar across micropolitan and small town areas but lower among rural areas. A different pattern of results was observed across geographic regions, with a higher risk for stroke across categories of rural areas in the south but not in other geographic regions (see Table). Conclusion: The impact of rurality on stroke risk varies by geographic region, with a higher risk for stroke among rural zip codes in the south but not in other geographic regions. Further research is needed to characterize the causes of the variability in stroke risk across rural communities.

CirculationVol. 150(Suppl_1)
The University of Texas at Tyler (US), The University of Texas Health Science Center at Tyler (US)
Good health and well-being
Openalex Percentile: Top 69%
Acute Ischemic Stroke Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.