Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Med Care. 2010 Jun;48(6):563-9. doi: 10.1097/MLR.0b013e3181d5f9e1.
To examine healthcare coverage and access disparities for American Indian/Alaska Native (AIAN) veterans compared with non-Hispanic white veterans.
We examined national survey data for honorably discharged veterans in the United States using National Health Interview Survey (NHIS) data between 1997 and 2006. NHIS data were obtained from the Integrated Health Interview Series, a web-based data resource containing harmonized NHIS data from 1969 to the present. Our sample included AIAN and white veterans aged 18 to 64 years (n = 34,504). We used multivariate logistic regression models to estimate the odds of being uninsured, reasons for delayed care, and types of foregone care.
In multivariate analysis, AIAN veterans have 1.9 times higher odds of being uninsured compared with non-Hispanic white veterans (95% CI: 1.6-2.7). Compared with white veterans, AIAN veterans are significantly more likely to delay care due to not getting timely appointments (OR = 2.0, 95% CI: 1.1-2.6), not getting through on the phone (OR = 3.0, 95% CI: 1.6-5.8), and transportation problems (OR = 2.9, 95% CI: 1.1-7.3). In unadjusted models, AIAN veterans have significantly higher odds of having foregone 4 of 5 types of care compared with non-Hispanic white veterans. Adjusting for sociodemographic characteristics and insurance eliminated all significant relations.
AIAN veterans have considerable disparities in healthcare coverage and access compared with non-Hispanic whites. Although barriers to care due to cost are nominal for AIAN veterans, barriers to care due to navigating the healthcare system and due to lack of transportation remain substantial.
研究与非西班牙裔白人退伍军人相比,美洲印第安人/阿拉斯加原住民(AIAN)退伍军人的医疗保健覆盖和获取差距。
我们使用美国国家健康访谈调查(NHIS)数据,研究了 1997 年至 2006 年期间美国荣誉退伍军人的全国调查数据。NHIS 数据来自综合健康访谈系列,这是一个基于网络的数据资源,包含了 1969 年至今的 NHIS 数据。我们的样本包括年龄在 18 至 64 岁之间的 AIAN 和白人退伍军人(n = 34504)。我们使用多元逻辑回归模型来估计未参保的几率、延迟护理的原因和放弃护理的类型。
在多元分析中,AIAN 退伍军人未参保的几率比非西班牙裔白人退伍军人高 1.9 倍(95%置信区间:1.6-2.7)。与白人退伍军人相比,AIAN 退伍军人因未能及时预约(OR = 2.0,95%置信区间:1.1-2.6)、电话不通(OR = 3.0,95%置信区间:1.6-5.8)和交通问题(OR = 2.9,95%置信区间:1.1-7.3)而延迟护理的可能性明显更高。在未调整的模型中,AIAN 退伍军人与非西班牙裔白人退伍军人相比,有 4 种类型的护理被放弃的几率明显更高。调整社会人口统计学特征和保险后,所有显著关系都消除了。
与非西班牙裔白人退伍军人相比,AIAN 退伍军人在医疗保健覆盖和获取方面存在相当大的差距。尽管 AIAN 退伍军人因费用而面临的护理障碍微不足道,但因导航医疗保健系统和缺乏交通而面临的护理障碍仍然相当大。