医疗质量、行为风险因素和寿命增长。

Frank R Lichtenberg
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引用次数: 56

摘要

自1991年以来,美国各州的寿命增长率差别很大。本文使用纵向州级数据检验了医疗质量、行为风险因素(肥胖、吸烟和艾滋病发病率)和其他变量(教育、收入和健康保险覆盖范围)对预期寿命和医疗支出的影响。我们检验了医疗质量的三种不同措施的影响。首先是诊断成像程序的平均质量,定义为高级程序的部分。第二项是执业医师的平均素质,定义为在顶级医学院接受培训的医师所占比例。三是门诊和住院处方药的平均批准年份(FDA批准年份)。预期寿命在以下州增长更快:(1)医疗保险诊断成像程序中先进程序的比例增长更快;(2)自用药品和自用药品增长较快;(3)以前由医生参加的医学院的质量提高得更快。在诊断程序、药物和医生质量提高较大的国家,人均医疗支出的增加幅度并不大。我们对预期寿命模型的稳健性进行了几次检验。控制人均保健支出(保健"数量")并消除婴儿死亡率的影响,实际上对保健质量系数没有影响。控制重要的非医疗创新的采用也对医疗创新采用对预期寿命的估计影响不大。
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The quality of medical care, behavioral risk factors, and longevity growth.

The rate of increase of longevity has varied considerably across U.S. states since 1991. This paper examines the effect of the quality of medical care, behavioral risk factors (obesity, smoking, and AIDS incidence), and other variables (education, income, and health insurance coverage) on life expectancy and medical expenditure using longitudinal state-level data. We examine the effects of three different measures of the quality of medical care. The first is the average quality of diagnostic imaging procedures, defined as the fraction of procedures that are advanced procedures. The second is the average quality of practicing physicians, defined as the fraction of physicians that were trained at top-ranked medical schools. The third is the mean vintage (FDA approval year) of outpatient and inpatient prescription drugs. Life expectancy increased more rapidly in states where (1) the fraction of Medicare diagnostic imaging procedures that were advanced procedures increased more rapidly; (2) the vintage of self- and provider-administered drugs increased more rapidly; and (3) the quality of medical schools previously attended by physicians increased more rapidly. States with larger increases in the quality of diagnostic procedures, drugs, and physicians did not have larger increases in per capita medical expenditure. We perform several tests of the robustness of the life expectancy model. Controlling for per capita health expenditure (the "quantity" of healthcare), and eliminating the influence of infant mortality, has virtually no effect on the healthcare quality coefficients. Controlling for the adoption of an important nonmedical innovation also has little influence on the estimated effects of medical innovation adoption on life expectancy.

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