| Title |
Factors Associated with Health Insurance Status in an Asian American Population in New York City: Analysis of a Community-Based Survey
|
|---|---|
| Published in |
Journal of Racial and Ethnic Health Disparities, March 2018
|
| DOI | 10.1007/s40615-018-0485-y |
| Pubmed ID | |
| Authors |
Cynthia Tan, Laura C. Wyatt, Julie A. Kranick, Simona C. Kwon, Oyinlola Oyebode |
| Abstract |
Immigrants comprise approximately 13% of the US population and 33% lack health coverage. Asian Americans are the fastest growing immigrant group; many lack a usual source of care. This study examines factors associated with health insurance among Asian American immigrants living in New York City. Community needs assessments were conducted among Asian American subgroups in New York City from 2013 to 2015; analysis was completed in 2017 and 2018. Descriptive statistics examined factors associated with health insurance status while stratifying by Asian ethnic subgroup; multivariable logistic regression models further assessed these associations (p < 0.05 significance level). Approximately 19% of the study population (n = 1399) was uninsured. Logistic regression models adjusted for all factors. Among East Asians, insurance status was associated with female sex (OR = 2.8, p = 0.005), excellent/very good health status (OR = 3.5, p = 0.014), and seeing a private doctor when sick or injured (OR = 3.2, p = 0.033). Among South Asians, insurance status was associated with high school/some college and college education (OR = 2.6 and 2.9, respectively, p = 0.039 and p = 0.021), having a routine health check in the past year (OR = 6.4, p < 0.001), no diabetes diagnosis (OR = 2.7, p = 0.030), and a tuberculosis diagnosis (OR = 4.7, p = 0.019). Among Southeast Asians, insurance status was associated with less than high school education (p < 0.05), living in the USA > 20 years (OR = 3.7, p = 0.009), having a routine health check in the past year (OR = 5.6, p = 0.025), and seeing a private doctor when sick or injured (OR = 2.6, p = 0.018). Health insurance status was associated with differing factors among each subgroup. Findings may inform strategies to address challenges and barriers of healthcare access to immigrants, making healthcare more accessible to this underserved population. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 15% |
| Researcher | 8 | 12% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 26% |
| Social Sciences | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Psychology | 4 | 6% |
| Business, Management and Accounting | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 31 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2018.
All research outputs
#13,587,115
of 23,035,022 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#715
of 1,023 outputs
Outputs of similar age
#171,034
of 330,398 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#22
of 27 outputs
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