Department of Family and Community Medicine, Center for Healthcare Policy and Research, University of California Davis School of Medicine, Sacramento, CA 95817, USA.
Med Care. 2012 Feb;50(2):145-51. doi: 10.1097/MLR.0b013e31822dcc72.
Millions of Americans lack or lose health insurance annually, yet how health characteristics predict insurance acquisition and loss remains unclear.
To examine associations of health characteristics with acquisition and loss of private and public health insurance.
Prospective observational analysis of 2000 to 2007 Medical Expenditure Panel Survey data for persons aged 18 to 63 on entry, enrolled for 2 years. We modeled year 2 private and public insurance gain and loss.
year 2 insurance status [none (reference), any private insurance, or public insurance] among those uninsured in year 1 (N=13,022), and retaining or losing coverage in year 2 among those privately or publicly insured in year 1 (N=47,239).
age, sex, race/ethnicity, education, income, region, urbanity, health status, health conditions, year 1 health expenditures, year 1 and 2 employment status, and (in secondary analyses) skepticism toward medical care and insurance.
In adjusted analyses, lower income and education were associated with not gaining and with losing private insurance. Poorer health status was associated with public insurance gain. Smoking and being overweight were associated with not gaining private insurance, and smoking with losing private coverage. Secondary analyses adjusting for medical skepticism yielded similar findings.
Social disadvantage and poorer health status are associated with gaining public insurance, whereas social advantage, not smoking, and not being overweight are associated with gaining private insurance, even when adjusting for attitudes toward medical care. Private insurers seem to benefit from relatively low health risk selection.
每年都有数百万美国人失去或没有医疗保险,但健康状况如何预测他们获得和失去医疗保险的情况仍不清楚。
研究健康特征与获得和失去私人和公共医疗保险之间的关系。
对 2000 年至 2007 年医疗支出调查数据进行前瞻性观察分析,纳入年龄在 18 岁至 63 岁之间、入组 2 年的人群。我们建立了第 2 年私人和公共保险获得和损失的模型。
第 1 年未参保(参考)、第 1 年无任何私人保险或公共保险的人群中,第 2 年的保险状况[无保险(参考)、任何私人保险或公共保险];以及第 1 年已参保的人群中,第 2 年保留或失去保险的情况[任何私人保险或公共保险]。
年龄、性别、种族/民族、教育、收入、地区、城市人口、健康状况、健康状况、第 1 年的医疗支出、第 1 年和第 2 年的就业状况,以及(在次要分析中)对医疗保健和保险的怀疑态度。
在调整后的分析中,较低的收入和教育水平与未获得私人保险和失去私人保险有关。较差的健康状况与获得公共保险有关。吸烟和超重与未获得私人保险有关,吸烟与失去私人保险有关。调整医疗怀疑态度的次要分析得出了类似的结论。
社会劣势和较差的健康状况与获得公共保险有关,而社会优势、不吸烟和不超重与获得私人保险有关,即使在调整了对医疗保健的态度之后。私人保险公司似乎从相对较低的健康风险选择中获益。