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糖尿病医疗保险受益人的当地人口特征及糖化血红蛋白检测率

Local population characteristics and hemoglobin A1c testing rates among diabetic medicare beneficiaries.

作者信息

Yasaitis Laura C, Bubolz Thomas, Skinner Jonathan S, Chandra Amitabh

机构信息

Harvard Center for Population and Development Studies, Harvard University, Cambridge, Massachusetts, United States of America.

The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.

出版信息

PLoS One. 2014 Oct 31;9(10):e111119. doi: 10.1371/journal.pone.0111119. eCollection 2014.

Abstract

BACKGROUND

Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers' control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown.

METHODS

HbA1c tests were recorded for 480,745 diabetic Medicare beneficiaries. Spatial analysis was used to create ZIP code-level estimated testing rates. Associations of testing rates with local population characteristics that are outside the control of providers--population density, the percent African American, with less than a high school education, or living in poverty--were assessed.

RESULTS

In 2009, 83.3% of diabetic Medicare beneficiaries received HbA1c tests. Estimated ZIP code-level rates ranged from 71.0% in the lowest decile to 93.1% in the highest. With each 10% increase in the percent of the population that was African American, associated HbA1c testing rates were 0.24% lower (95% CI -0.32--0.17); for identical increases in the percent with less than a high school education or the percent living in poverty, testing rates were 0.70% lower (-0.95--0.46) and 1.6% lower (-1.8--1.4), respectively. Testing rates were lowest in the least and most densely populated ZIP codes. Population characteristics explained 5% of testing rate variations.

CONCLUSIONS

HbA1c testing rates are associated with population characteristics, but these characteristics fail to explain the vast majority of variations. Consequently, even complete risk-adjustment may have little impact on some process of care quality measures; much of the ZIP code-related variations in testing rates likely result from provider-based differences and idiosyncratic local factors not related to poverty, education, or race.

摘要

背景

美国医疗保健系统中拟议的支付改革将要求医疗服务提供者对所服务的指定患者群体的医疗质量负责。建议所有糖尿病患者每年进行糖化血红蛋白(HbA1c)检测,但某些患者群体可能面临医疗服务提供者无法控制的高质量医疗保健障碍。糖尿病医疗保险受益人的细粒度医疗差异程度及其与当地人口特征的关联尚不清楚。

方法

记录了480,745名糖尿病医疗保险受益人的HbA1c检测情况。采用空间分析方法得出邮政编码级别的估计检测率。评估了检测率与医疗服务提供者无法控制的当地人口特征之间的关联,这些特征包括人口密度、非裔美国人比例、未接受高中教育的比例或生活在贫困中的比例。

结果

2009年,83.3%的糖尿病医疗保险受益人接受了HbA1c检测。邮政编码级别的估计检测率范围从最低十分位数的71.0%到最高十分位数的93.1%。非裔美国人比例每增加10%,相关的HbA1c检测率降低0.24%(95%置信区间-0.32--0.17);对于未接受高中教育的比例或生活在贫困中的比例相同幅度的增加,检测率分别降低0.70%(-0.95--0.46)和1.6%(-1.8--1.4)。检测率在人口密度最低和最高的邮政编码地区最低。人口特征解释了检测率变化的5%。

结论

HbA1c检测率与人口特征相关,但这些特征无法解释绝大多数的差异。因此,即使进行完全的风险调整,对某些医疗质量指标的过程可能影响甚微;邮政编码相关的检测率差异很大一部分可能是由基于医疗服务提供者的差异以及与贫困、教育或种族无关的特殊当地因素导致的。

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