Fronstin P
EBRI Issue Brief. 2000 Sep(225):1-19.
This Issue Brief reviews surveys that provide estimates of the uninsured population in the United States. It includes a discussion of why the estimates from the various surveys differ. It is important to understand the differences in the estimates of the uninsured population. The projected cost of implementing policy proposals depends on the estimates of the number of people affected by the proposals; for instance, the allocation of funding for the State Children's Health Insurance Program (S-CHIP) depends heavily on the available estimates. In addition, the estimated effectiveness of policy proposals to reduce the uninsured population will be accurate only if the correct count is known and the precise make-up of the uninsured population is understood. Currently, seven surveys can be used to make nationally representative estimates of the number of people without health insurance coverage. Some of the surveys collect health insurance information in the context of obtaining general information on health care, while other surveys are focused on other topics such as labor force participation and public assistance program participation. The most widely used survey that collects information on health insurance coverage is the Current Population Survey (CPS), conducted by the Census Bureau. The most recent estimates from the CPS suggests that 44.3 million Americans were uninsured in 1998. Besides the CPS, a number of other surveys collect information on the uninsured population. They include the Survey of Income and Program Participation (SIPP), Behavioral Risk Factor Surveillance System (BRFSS), Community Tracking Study (CTS), Medical Expenditure Panel Survey (MEPS), National Health Interview Survey (NHIS), and the National Survey of America's Families (NSAF). Estimates of the uninsured from these surveys range from 19 million to 44 million and vary depending on the time frame the survey covers. A number of states have started to question the validity of the uninsured estimates from the CPS, and other surveys, because of the small sample size in many states. As a result, some states have begun to conduct their own surveys to determine the number of uninsured residents. States that regularly conduct their own surveys include Florida, Massachusetts, Minnesota, New Mexico, Oregon, Vermont, and Wisconsin. Unfortunately, the various state surveys are not easily comparable. Research needs to continue to increase understanding of the differences among the surveys and to improve on methodologies to count the uninsured, as the future of public programs, such as S-CHIP and other state and local initiatives to expand health insurance coverage, depends on the accuracy of these estimates. Whatever survey is used, the results show that a substantial number of Americans do not have any health insurance coverage, and the number has been growing.
本问题简报回顾了一些调查,这些调查提供了对美国未参保人口的估计。其中讨论了为何不同调查得出的估计数存在差异。了解未参保人口估计数的差异很重要。实施政策提案的预计成本取决于受提案影响人数的估计;例如,为州儿童健康保险计划(S-CHIP)分配资金在很大程度上依赖于现有的估计数。此外,只有在知道正确的统计数字并了解未参保人口的确切构成的情况下,减少未参保人口的政策提案的估计效果才会准确。目前,有七项调查可用于对未参加医疗保险的人数进行具有全国代表性的估计。一些调查在获取医疗保健一般信息的背景下收集健康保险信息,而其他调查则侧重于劳动力参与和公共援助计划参与等其他主题。收集健康保险覆盖信息最广泛使用的调查是人口普查局进行的当前人口调查(CPS)。CPS的最新估计表明,1998年有4430万美国人未参保。除了CPS之外,还有一些其他调查收集未参保人口的信息。它们包括收入与计划参与调查(SIPP)、行为风险因素监测系统(BRFSS)、社区追踪研究(CTS)、医疗支出小组调查(MEPS)、国民健康访谈调查(NHIS)以及美国家庭全国调查(NSAF)。这些调查对未参保人数的估计从1900万到4400万不等,并且因调查所涵盖的时间范围而异。由于许多州的样本量较小,一些州已开始质疑CPS和其他调查对未参保人数估计的有效性。因此,一些州已开始自行开展调查以确定未参保居民的数量。定期自行开展调查的州包括佛罗里达州、马萨诸塞州、明尼苏达州、新墨西哥州、俄勒冈州、佛蒙特州和威斯康星州。不幸的是,各州的各种调查不容易进行比较。随着诸如S-CHIP等公共计划以及其他州和地方扩大医疗保险覆盖范围的举措的未来取决于这些估计的准确性,研究需要继续加深对各项调查差异的理解并改进统计未参保人数的方法。无论使用哪种调查,结果都表明有相当数量的美国人没有任何医疗保险覆盖,而且这个数字一直在增长。