Halliday Timothy, Taira Deborah A, Davis James, Chan Henry
John A. Burns School of Medicine, University of Hawaii at Manoa, 2424 Maile Way, Saunders Hall 533, Honolulu, HI 96822, USA.
Prev Chronic Dis. 2007 Oct;4(4):A91. Epub 2007 Sep 15.
Despite evidence that breast cancer screening reduces morbidity and mortality, many women do not obtain mammograms. Our objective was to analyze the relationship between income and mammography screening for members enrolled in a large health plan in Hawaii.
We analyzed claims data for women (N = 46,328) aged 50 to 70 years during 2003 and 2004. We used parametric and nonparametric regression techniques. We used probit estimation to conduct multivariate analysis.
At the 5th percentile of the earnings distribution, the probability of mammography is 57.1%, and at the 95th percentile, it is 67.7%. Movement from the 5th percentile to the 35th percentile of the earnings distribution increases the probability of mammography by 0.0378 percentage points. A similar movement from the 65th percentile to the 95th percentile increases the probability by 0.0394 percentage points. Also, we observed an income gradient within narrowly defined geographic regions where physical access to medical care providers is not an issue.
We observed a steep income gradient in mammography screening in Hawaii. Because of the prevalence of measurement error, this gradient is probably far greater than our estimate. We cannot plausibly attribute our findings to disparities in coverage because 100% of our sample had health insurance coverage. The gradient also does not appear to result from poorer people residing in areas that are geographically isolated from providers of medical care.
尽管有证据表明乳腺癌筛查可降低发病率和死亡率,但许多女性并未进行乳房X光检查。我们的目标是分析夏威夷一家大型健康计划参保成员的收入与乳房X光检查之间的关系。
我们分析了2003年至2004年期间年龄在50至70岁之间的女性(N = 46,328)的理赔数据。我们使用了参数和非参数回归技术。我们使用概率单位估计进行多变量分析。
在收入分布的第5百分位数处,进行乳房X光检查的概率为57.1%,在第95百分位数处,该概率为67.7%。收入分布从第5百分位数移动到第35百分位数,乳房X光检查的概率增加0.0378个百分点。从第65百分位数到第95百分位数的类似移动使概率增加0.0394个百分点。此外,我们在地理区域定义狭窄且就医不存在实际障碍的地区观察到了收入梯度。
我们在夏威夷的乳房X光检查中观察到了明显的收入梯度。由于测量误差普遍存在,这种梯度可能远大于我们的估计。我们不能将我们的发现合理地归因于保险覆盖范围的差异,因为我们样本中的100%都有医疗保险。这种梯度似乎也不是由于贫困人口居住在与医疗服务提供者地理隔离的地区造成的。