Pan C X, Glynn R J, Mogun H, Choodnovskiy I, Avorn J
Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
J Am Geriatr Soc. 1999 Jun;47(6):730-3. doi: 10.1111/j.1532-5415.1999.tb01599.x.
Race and ethnicity are important predictors of health care access and outcomes, but quality of their documentation in the healthcare system is often problematic.
To study the agreement between Medicare and Medicaid descriptions of race and ethnicity in older beneficiaries.
Quasiexperimental design in a natural practice setting.
New Jersey.
153,241 dually enrolled participants in Medicare and Medicaid.
Agreement rates between administrative databases on recipients' race and ethnicity.
Agreement between Medicare and Medicaid on the recipients' race and ethnicity was modest (kappa = .58; 95% CI, .57-.58) for men and women alike and across different age groups. Depending on whether Medicare or Medicaid was used as the reference standard, the relative agreement rates for race and ethnic group assignments varied. For example, using Medicare as the reference, the relative agreement rate was 84% for whites, 74% for blacks, 61% for others, 23% for Hispanics, and only 5% for Asians. Using Medicaid as the reference, a different pattern emerged. However, such gradients of agreement rates across racial groups were observed in both programs. Medicare and Medicaid reported different percentages of all race and ethnicity groups, with Medicaid reporting greater proportions of White and Black beneficiaries, and Medicare reporting greater proportions of Hispanic, Asian, and Other groups.
Depiction of race and ethnicity data in large government health insurance programs is approximate at best and often contradictory from one program to another. This can impede efforts to study the relationship between these important characteristics and health care utilization and outcomes.
种族和族裔是医疗保健可及性和结果的重要预测因素,但它们在医疗保健系统中的记录质量往往存在问题。
研究老年受益人中医疗保险和医疗补助在种族和族裔描述上的一致性。
自然实践环境中的准实验设计。
新泽西州。
153,241名同时参加医疗保险和医疗补助的双重参保者。
行政数据库之间关于接受者种族和族裔的一致率。
医疗保险和医疗补助在接受者种族和族裔方面的一致性适中(kappa = 0.58;95%可信区间,0.57 - 0.58),无论男女以及不同年龄组都是如此。根据是以医疗保险还是医疗补助作为参考标准,种族和族裔群体分配的相对一致率有所不同。例如,以医疗保险作为参考,白人的相对一致率为84%,黑人的为74%,其他种族的为61%,西班牙裔的为23%,亚洲人的仅为5%。以医疗补助作为参考时,则出现了不同的模式。然而,在这两个项目中都观察到了不同种族群体的这种一致率梯度。医疗保险和医疗补助报告的所有种族和族裔群体的百分比不同,医疗补助报告的白人和黑人受益人的比例更高,而医疗保险报告的西班牙裔、亚洲人和其他群体的比例更高。
大型政府医疗保险项目中种族和族裔数据的描述充其量只是近似的,而且往往在不同项目之间相互矛盾。这可能会妨碍研究这些重要特征与医疗保健利用及结果之间关系的努力。