Abstract P3175: Navigating Stroke Recovery: The Association of Insurance Coverage on Hospital Discharge Disposition in Rural versus Urban Settings in North Carolina

Introduction/Hypothesis: Hospital discharge disposition of stroke patients is influenced by various factors, including health status, recovery needs, and healthcare resource availability. Health insurance coverage as a proxy for access to post-stroke care may reveal disparities in discharge outcomes. We examined the association between insurance status and discharge outcomes for stroke patients in rural and urban North Carolina, emphasizing the importance of stratifying by rurality to explore potential differences in access to care. Methods: We obtained demographics, county of residence, insurance, admission date, and discharge disposition of adult patients with principal discharge diagnosis codes for stroke (ICD-10-CM I60.xx-I63.xx) from an inpatient database of hospitalizations from January 2019 to September 2020 across 115 NC hospitals. We categorized patient insurance status as Private, Self-pay, Medicare, Medicaid, or Other. We dichotomized discharge disposition to Home or Healthcare Facility. Multivariable logistic regression estimated associations between insurance and discharge outcomes, adjusting for age, sex, stroke type, and rurality. Separate models for rural and urban populations explored differences in discharge patterns. Results: Among 31,935 patients with a mean age of 69, 38% lived in rural counties, 50% were female, and 60% were discharged home. Medicaid (OR=0.64, 95% CI: 0.58-0.70) and Medicare (OR=0.75, 95% CI: 0.71-0.80) patients had lower odds, and Self-pay (OR=2.07, 95% CI: 1.83-2.35) patients had higher odds of being discharged home compared to patients with private insurance. Discharge outcomes based on insurance status were consistent across rural and urban subgroups. Conclusions: Insurance status is significantly associated with discharge outcomes, with Medicaid and Medicare patients less likely and Self-Pay patients more likely to be discharged home compared to private insurance, regardless of rurality. Understanding discharge dynamics can inform policies to improve access and equity in post-stroke care. Further research should explore discharge disparities for vulnerable patient groups.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.p3175
Primary Topic
Healthcare Systems and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract P3175: Navigating Stroke Recovery: The Association of Insurance Coverage on Hospital Discharge Disposition in Rural versus Urban Settings in North Carolina

Wayne Rosamond, Mehul Patel, Mahesh Pinapaka
Circulation
Healthcare Systems and Practices
article

Abstract P3175: Navigating Stroke Recovery: The Association of Insurance Coverage on Hospital Discharge Disposition in Rural versus Urban Settings in North Carolina

Wayne Rosamond, Mehul Patel, Mahesh Pinapaka
article en

Abstract

Introduction/Hypothesis: Hospital discharge disposition of stroke patients is influenced by various factors, including health status, recovery needs, and healthcare resource availability. Health insurance coverage as a proxy for access to post-stroke care may reveal disparities in discharge outcomes. We examined the association between insurance status and discharge outcomes for stroke patients in rural and urban North Carolina, emphasizing the importance of stratifying by rurality to explore potential differences in access to care. Methods: We obtained demographics, county of residence, insurance, admission date, and discharge disposition of adult patients with principal discharge diagnosis codes for stroke (ICD-10-CM I60.xx-I63.xx) from an inpatient database of hospitalizations from January 2019 to September 2020 across 115 NC hospitals. We categorized patient insurance status as Private, Self-pay, Medicare, Medicaid, or Other. We dichotomized discharge disposition to Home or Healthcare Facility. Multivariable logistic regression estimated associations between insurance and discharge outcomes, adjusting for age, sex, stroke type, and rurality. Separate models for rural and urban populations explored differences in discharge patterns. Results: Among 31,935 patients with a mean age of 69, 38% lived in rural counties, 50% were female, and 60% were discharged home. Medicaid (OR=0.64, 95% CI: 0.58-0.70) and Medicare (OR=0.75, 95% CI: 0.71-0.80) patients had lower odds, and Self-pay (OR=2.07, 95% CI: 1.83-2.35) patients had higher odds of being discharged home compared to patients with private insurance. Discharge outcomes based on insurance status were consistent across rural and urban subgroups. Conclusions: Insurance status is significantly associated with discharge outcomes, with Medicaid and Medicare patients less likely and Self-Pay patients more likely to be discharged home compared to private insurance, regardless of rurality. Understanding discharge dynamics can inform policies to improve access and equity in post-stroke care. Further research should explore discharge disparities for vulnerable patient groups.

CirculationVol. 151(Suppl_1)
University of North Carolina at Chapel Hill (US), University of North Carolina Health Care (US)
Openalex Percentile: Top 87%
Healthcare Systems and Practices
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.