Abstract TP171: Higher Social Vulnerability Index is Associated with Declination of Stroke Clinical Trial Enrollment

Background: Neurological clinical trials often underrepresent the diversity of those affected.Patients with higher social vulnerability index (SVI), driven by poverty, limited transportation, and crowded housing, may face barriers potentially restricting participation. Additionally,trials seldomly capture social determinants of health (SDOH) or their impact on trial recruitment thereby limiting generalizability of results. Objective: This study seeks to examine how social vulnerability influences trial enrollment and demographic differences amongst eligible patients.We aim to identify potential patterns in declination to enroll in stroke clinical trials to inform strategies for inclusive participation,thereby improving trial access&generalizability. Methods: We retrospectively analyzed patients eligible for a large longitudinal stroke recovery trial (2017-2024), comparing those enrolled(N=283) versus non-enrolled(N=58). Patient’s SVI were derived from 2022 CDC/ATSDR SVI data using ESRI ArcGIS.Rstudio was used for descriptive and inferential analyses like logistic regression on age,race, sex and SVI and Mann Whitney U tests(W) with bootstrapping for 95% confidence interval estimates on age and SVI. Results: Age and SVI were statistically significant predictors of enrollment.Higher SVI reduced enrollment odds (OR=0.10;95%CI [0.01;0.62],(p=0.015)) with enrolled patients demonstrating a statistically significant lower SVI median 0.565 (95%CI,0.5406,0.5730) versus non-enrolled with median SVI 0.692 (95%CI,0.5646,0.7686), with significant group differences (W=6203,p=0.004). Older age also reduced enrollment odds (OR=0.93;95%CI [0.9;0.96],(p<0.001)) with median age 67 amongst enrollees (95%CI,65,69) versus 78.6 amongst non-enrollees (95%CI,74.5,81.5) with statistically significant group differences (W=11137,p<0.0001). While not statistically significant, race and sex were underrepresented when compared to national and local inpatient ischemic stroke demographics amongst Black and female patients. Conclusion: Older age and higher SVI negatively impacted enrollment of eligible patients in this small longitudinal stroke recovery clinical trial,highlighting underrecruitment of disadvantaged populations. SDOH, while rarely captured in trials, pose barriers to participation thus prospectively incorporating them into future studies can facilitate targeted recruitment and retention thus critically promoting equitable participation and enhancing trial accuracy and generalizability.

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Publication Details

Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.tp171
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
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article

Abstract TP171: Higher Social Vulnerability Index is Associated with Declination of Stroke Clinical Trial Enrollment

Marion S. Buckwalter, Rachelle Dugue, Nancy Le
Stroke
Cardiovascular Health and Risk Factors
article

Abstract TP171: Higher Social Vulnerability Index is Associated with Declination of Stroke Clinical Trial Enrollment

Marion S. Buckwalter, Rachelle Dugue, Nancy Le
article en

Abstract

Background: Neurological clinical trials often underrepresent the diversity of those affected.Patients with higher social vulnerability index (SVI), driven by poverty, limited transportation, and crowded housing, may face barriers potentially restricting participation. Additionally,trials seldomly capture social determinants of health (SDOH) or their impact on trial recruitment thereby limiting generalizability of results. Objective: This study seeks to examine how social vulnerability influences trial enrollment and demographic differences amongst eligible patients.We aim to identify potential patterns in declination to enroll in stroke clinical trials to inform strategies for inclusive participation,thereby improving trial access&generalizability. Methods: We retrospectively analyzed patients eligible for a large longitudinal stroke recovery trial (2017-2024), comparing those enrolled(N=283) versus non-enrolled(N=58). Patient’s SVI were derived from 2022 CDC/ATSDR SVI data using ESRI ArcGIS.Rstudio was used for descriptive and inferential analyses like logistic regression on age,race, sex and SVI and Mann Whitney U tests(W) with bootstrapping for 95% confidence interval estimates on age and SVI. Results: Age and SVI were statistically significant predictors of enrollment.Higher SVI reduced enrollment odds (OR=0.10;95%CI [0.01;0.62],(p=0.015)) with enrolled patients demonstrating a statistically significant lower SVI median 0.565 (95%CI,0.5406,0.5730) versus non-enrolled with median SVI 0.692 (95%CI,0.5646,0.7686), with significant group differences (W=6203,p=0.004). Older age also reduced enrollment odds (OR=0.93;95%CI [0.9;0.96],(p<0.001)) with median age 67 amongst enrollees (95%CI,65,69) versus 78.6 amongst non-enrollees (95%CI,74.5,81.5) with statistically significant group differences (W=11137,p<0.0001). While not statistically significant, race and sex were underrepresented when compared to national and local inpatient ischemic stroke demographics amongst Black and female patients. Conclusion: Older age and higher SVI negatively impacted enrollment of eligible patients in this small longitudinal stroke recovery clinical trial,highlighting underrecruitment of disadvantaged populations. SDOH, while rarely captured in trials, pose barriers to participation thus prospectively incorporating them into future studies can facilitate targeted recruitment and retention thus critically promoting equitable participation and enhancing trial accuracy and generalizability.

StrokeVol. 57(Suppl_1)
Menlo School (US), Stanford University (US)
No poverty
Openalex Percentile: Top 75%
Cardiovascular Health and Risk Factors
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