Literature DB >> 27758939

Socioeconomic Status and the Quality of Acute Stroke Care: The China National Stroke Registry.

Yuesong Pan1, Ruoling Chen2, Zixiao Li1, Hao Li1, Xingquan Zhao1, Liping Liu1, Chunxue Wang1, Yilong Wang2, Yongjun Wang2.   

Abstract

BACKGROUND AND
PURPOSE: The association of socioeconomic status (SES) with quality of stroke care is not well understood, and few studies have examined the association with different indicators of SES simultaneously. We assessed the impacts of low levels of education, occupation, and income on the quality of stroke care.
METHODS: We examined data from the China National Stroke Registry recording consecutive stroke patients between September 2007 and August 2008. Baseline low SES was measured using educational level <6 years, occupation as manual workers or no job, and average family income per capita at ≤¥1000 per month. Compliance with 11 performances was summarized in a composite score defined as the proportion of all needed care given. Poor quality of care was defined as having a composite score of 0.71 or less.
RESULTS: Among 12 270 patients with ischemic stroke, 38.6% had <6 educational years, 37.6% had manual workers/no job, and 34.7% had income ≤¥1000 per month. There was an increased chance of receiving poor quality of care in patients with low education (adjusted odds ratio 1.15, 95% confidence interval 1.03-1.28), low occupation (adjusted odds ratio 1.16, 95% confidence interval 1.01-1.32), and low income (adjusted odds ratio 1.18, 95% confidence interval 1.06-1.30), respectively. People with low SES had poor performances on some aspects of care quality. Combined effects existed among these SES indicators; those with low SES from all 3 indicators had the poorest quality of care.
CONCLUSIONS: There was a social gradient in the quality of stroke care. Continuous efforts of socioeconomic improvement will increase the quality of acute stroke care.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  income; occupation; quality of care; socioeconomic position; stroke

Mesh:

Year:  2016        PMID: 27758939     DOI: 10.1161/STROKEAHA.116.013292

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  7 in total

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  7 in total

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