Examining the Reasons for Reduced Enrollment in Health Insurance Coverage Among Low-Socioeconomic-Status Individuals

2011 ◽  
Vol 4 (1) ◽  
pp. 174-178
Author(s):  
Surya Singh
2020 ◽  
Vol 33 (8) ◽  
pp. 718-725
Author(s):  
Hack-Lyoung Kim ◽  
Jin Yong Lee ◽  
Woo-Hyun Lim ◽  
Jae-Bin Seo ◽  
Sang-Hyun Kim ◽  
...  

Abstract Background There is no general agreement on underlying pathophysiology explaining the high burden of cardiovascular disease on people at low socioeconomic status (SES). This study was conducted to investigate the association between healthcare systems and arterial stiffness. Methods A total of 8,929 subjects (60 years old and 55% were male) who underwent brachial-ankle pulse wave velocity (baPWV) measurement were retrospectively analyzed. There were 8,237 National Health Insurance (NHI) beneficiaries (92.2%) and 692 medical aid (MA) beneficiaries (7.8%). The median value of baPWV was 1,540 cm/s. Results Subjects with higher baPWV values (≥1,540 cm/s) were older, and more frequently had cardiovascular risk factors and unfavorable laboratory findings than those with lower values baPWV (<1,540 cm/s). The baPWV values were significantly higher in MA beneficiaries than in NHI beneficiaries (1,966 ± 495 vs. 1,582 ± 346 cm/s, P < 0.001). The proportion of MA beneficiaries was significantly higher in subjects with higher baPWV than those with lower baPWV (13.1% vs. 2.3%, P < 0.001). In multivariable analysis, MA beneficiaries were significantly associated with higher baPWV values even after controlling for potential confounders (odds ratio, 5.41; 95% confidence intervals, 4.02–7.27; P < 0.001). Conclusions The baPWV values were significantly higher in MA beneficiaries than in NHI beneficiaries. The result of this study provides additional evidence on the association between low SES and arterial stiffening.


2021 ◽  
Vol 9 ◽  
Author(s):  
Jiahui Wang ◽  
Xiao Tan ◽  
Xinye Qi ◽  
Xin Zhang ◽  
Huan Liu ◽  
...  

Background: In moving toward universal health coverage in China, it is crucial to identify which populations should be prioritized for which interventions rather than blindly increasing welfare packages or capital investments. We identify the characteristics of vulnerable groups from multiple perspectives through estimating catastrophic health expenditure (CHE) and recommend intervention priorities.Methods: Data were from National Health Service Survey conducted in 2003, 2008, and 2013. According to the recommendation of WHO, this study adopted 40% as the CHE threshold. A binary regression was used to identify the determinants of CHE occurrence; a probit model was used to obtain CHE standardized incidence under the characteristics of single and two dimensions in 2013.Results: The total incidence of CHE in 2013 was 13.9%, which shows a general trend of growth from 2003 to 2013. Families in western and central regions and rural areas were more at risk. Factors related to social demography show that households with a female or an unmarried head of household or with a low socioeconomic status were more likely to experience CHE. Households with older adults aged 60 and above had 1,524 times higher likelihood of experiencing CHE. Among the health insurance schemes, the participants covered by the New Rural Cooperative Medical Scheme had the highest risk compared with the participants of all basic health insurance schemes. Households with several members seeking outpatient, inpatient care or with non-communicable diseases were more likely to experience CHE. Households with members not seeing a doctor or hospitalized despite the need for it were more likely to experience CHE. Characteristics such as a household head with characteristics related to low socioeconomic status, having more than two hospitalized family members, ranked high. Meanwhile, the combination of having illiterate household heads and with being covered by other health insurance plans or by none ranked the first place. Cancer notably caused a relatively high medical expenditure among households with CHE.Conclusion: In China, considering the vulnerability of the population across different dimensions is conducive to the alleviation of high CHE. Furthermore, people with multiple vulnerabilities should be prioritized for intervention. Identifying and targeting them to offer help and support will be an effective approach.


2001 ◽  
Vol 54 (4) ◽  
pp. 350-358 ◽  
Author(s):  
David F Penson ◽  
Marcia L Stoddard ◽  
David J Pasta ◽  
Deborah P Lubeck ◽  
Scott C Flanders ◽  
...  

Author(s):  
April Todd-Malmlov ◽  
Alexander Oftelie ◽  
Kathleen Call ◽  
Jeanette Ziegenfuss

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