Sundmacher Leonie, Kopetsch Thomas
Department of Health Services Management, Ludwig Maximilians University Munich, Schackstrasse 4,80539, Munich, Germany,
Eur J Health Econ. 2015 May;16(4):365-75. doi: 10.1007/s10198-014-0578-4. Epub 2014 Apr 5.
The aim of the study was to quantify the impact of specific medical services in the ambulatory sector (SA) on hospitalizations for ambulatory care sensitive conditions (ACSCs), in order to be able to assess whether and under what conditions specific ambulatory treatments could serve to lower the hospitalization rate.
The analysis is based on administrative data showing the complete provision of medical services in the ambulatory sector in Germany and data from other sources. The data were provided by the National Association of Statutory Health Insurance Physicians, the Federal Statistical Agency, the Federal Office of Construction and Regional Planning, and the Federal Insurance Agency.
The impact of an increase in specific medical services on hospitalizations for ACSCs was estimated using linear spatial models at the level of the 413 German counties and county boroughs for the years 2007 and 2008. To allow for an undistorted estimation of the coefficients, SA and physician density were instrumented using a two-stage 'least squares' approach. The SA and the rate of hospitalizations for ACSCs were age-standardized. In the models, a well-defined set of covariates was controlled for.
According to the models, an additional
Our models suggest that additional medical services reduce the rate of hospitalizations for ACSCs but that this correlation depends on the absolute level of office-based services in a county, all covariates being held equal. Ceteris paribus counties with a very high volume of services exhibit 'flat-of-the-curve medicine', while counties with a very low current level of specific medical services benefit most from an increase in those specific services.
本研究旨在量化门诊部门特定医疗服务(SA)对门诊护理敏感疾病(ACSC)住院率的影响,以便能够评估特定门诊治疗是否以及在何种条件下有助于降低住院率。
该分析基于显示德国门诊部门医疗服务完整提供情况的行政数据以及其他来源的数据。数据由法定健康保险医师全国协会、联邦统计局、联邦建筑与区域规划办公室以及联邦保险局提供。
使用线性空间模型,在2007年和2008年德国413个县及县级市的层面上,估计特定医疗服务增加对ACSC住院率的影响。为了能够无偏差地估计系数,采用两阶段“最小二乘法”对SA和医生密度进行工具变量估计。SA和ACSC住院率进行了年龄标准化。在模型中,对一组明确的协变量进行了控制。
根据模型,在ACSC治疗上额外花费1欧元,可使男性和女性的ACSC住院率分别降低,直至每年医生费用统一价值量表点值约为6891和5735。这种相关性不是线性的,而是如所怀疑的那样,呈现边际收益递减。
我们的模型表明,额外的医疗服务可降低ACSC住院率,但这种相关性取决于一个县基于诊所服务的绝对水平,所有协变量保持不变。在其他条件相同的情况下,服务量非常高的县呈现“曲线平台期医学”,而当前特定医疗服务水平非常低的县从这些特定服务的增加中受益最大。