The Association of Socioeconomic Status and Discharge Destination with 30-Day Readmission after Ischemic Stroke

2021 ◽  
Vol 30 (12) ◽  
pp. 106146
Author(s):  
Shumei Man ◽  
David Bruckman ◽  
Anne S. Tang ◽  
Ken Uchino ◽  
Jesse D. Schold
Stroke ◽  
2013 ◽  
Vol 44 (2) ◽  
pp. 469-476 ◽  
Author(s):  
Amresh D. Hanchate ◽  
Lee H. Schwamm ◽  
Wei Huang ◽  
Elaine M. Hylek

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Janet Prvu Bettger ◽  
Xin Zhao ◽  
Cheryl Bushnell ◽  
Louise Zimmer ◽  
Ying Xian ◽  
...  

Background: Socioeconomic status (SES) is widely recognized as an area of inequity that affects health outcomes. However, social determinants of health are less frequently measured in longitudinal studies of acute stroke patients. The relationship of SES on disability 3-months post-stroke is unknown. Methods: We analyzed ischemic stroke patients in the AVAIL registry who were enrolled at 98 hospitals participating in Get With The Guidelines-Stroke. Patients who died (n=64) or did not complete a modified Rankin Scale (mRS) at 3-months (n=154) were excluded. Multivariable logistic regression was used to examine the relationship of SES (defined by level of education, work status, and perceived adequacy of household income to meet needs) and disability (mRS scores 3-5). Results: Among the 2092 stroke patients who met eligibility criteria, the mean age was 65.5 ± 13.7, 44.2% were female, and 82.7% were White. Fifty seven percent had a high school or less education, 11.4% were not working post-stroke and were home not by choice, and 25.7% were without an adequate household income. A third of the sample had some level of disability at 3-months (34.6% mRS 3-5). Those with disability were more likely to be older, non-White, female, single, less educated, have inadequate income, and were home not by choice. In the multivariable analysis, lower education, inadequate income, and being home but not by choice (compared with those who returned to work) were independently associated with disability (p<0.01; Table ). Conclusion: In this national cohort of stroke survivors, socioeconomic status as measured by level of education, work status, and income were independently associated with post-stroke disability.


Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Mais N Al-Kawaz ◽  
Alexander E Merkler ◽  
Michael P Lerario ◽  
Babak B Navi ◽  
Hooman Kamel

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Siping Wang ◽  
Binyan Shen ◽  
Meiting Wu ◽  
Ciyu Chen ◽  
Juan Wang

2016 ◽  
Vol 254 ◽  
pp. 117-123 ◽  
Author(s):  
Frederick Palm ◽  
Pirkko J. Pussinen ◽  
Annette Aigner ◽  
Heiko Becher ◽  
Florian Buggle ◽  
...  

2019 ◽  
Vol 41 (10) ◽  
pp. 916-922 ◽  
Author(s):  
Siping Wang ◽  
Binyan Shen ◽  
Lin Wei ◽  
Meiting Wu ◽  
Juan Wang

Stroke ◽  
2001 ◽  
Vol 32 (7) ◽  
pp. 1492-1498 ◽  
Author(s):  
Dimitrije Jakovljević ◽  
Cinzia Sarti ◽  
Juhani Sivenius ◽  
Jorma Torppa ◽  
Markku Mähönen ◽  
...  

Stroke ◽  
2011 ◽  
Vol 42 (12) ◽  
pp. 3363-3368 ◽  
Author(s):  
Arleen F. Brown ◽  
Li-Jung Liang ◽  
Stefanie D. Vassar ◽  
Sharon Stein-Merkin ◽  
W.T. Longstreth ◽  
...  

Background and Purpose— Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status and incident ischemic stroke and examine potential mediators of these associations. Methods— We analyzed data from 3834 whites and 785 blacks enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages ≥65 years from 4 US counties. The primary outcome was adjudicated incident ischemic stroke. Neighborhood socioeconomic status was measured using a composite of 6 census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed adjusted for sociodemographic, behavioral, and biological risk factors. Results— Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared with the highest neighborhood socioeconomic status quartile (hazard ratio, 1.32; 95% CI, 1.01–1.72) with greater attenuation of the hazard ratio after adjustment for biological risk factors (hazard ratio, 1.16; 0.88–1.52) than for behavioral risk factors (hazard ratio, 1.30; 0.99–1.70). Among blacks, we found no significant associations between neighborhood socioeconomic status and ischemic stroke. Conclusions— Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among blacks. The relationship between neighborhood socioeconomic status and stroke among whites appears to be mediated more strongly by biological than behavioral risk factors.


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