ESTIMATING DIVERSION RATIOS IN HOSPITAL MERGERS

IF 1.3 4区 社会学 Q3 ECONOMICS Journal of Competition Law & Economics Pub Date : 2019-03-14 DOI:10.1093/JOCLEC/NHZ006
C. Rossi, R. Whitehouse, A. Moore
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Abstract

Understanding patient choice is vital in assessing the closeness of competition between hospitals. The standard technique used in the UK is to estimate substitution patterns based on historical general practitioner (GP) referrals. In this paper we compare the results of the ‘GP referral’ methodology to a demand estimation approach. Using patient-level data over a 3-year period (2012/13–2014/15) we apply both methodologies to every hypothetical merger between hospitals in England, for three specialties. We find a high degree of consistency between the two approaches, suggesting that GP referral analysis is a useful and reliable filter in merger cases. There are a small number of cases, however, in which the GP referral approach filters out potentially problematic mergers. This is particularly true for ‘borderline’ cases. Filtering should therefore be done with caution and in conjunction with additional evidence.
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估计医院合并中的分流率
了解患者的选择对于评估医院之间的竞争程度至关重要。英国使用的标准技术是根据历史全科医生(GP)转诊来估计替代模式。在本文中,我们将“全科医生转诊”方法的结果与需求估计方法进行了比较。使用三年期间(2012/13–2014/15)的患者水平数据,我们将这两种方法应用于英格兰三个专科医院之间的每一次假设合并。我们发现这两种方法高度一致,这表明全科医生转诊分析在合并病例中是一种有用且可靠的过滤器。然而,在少数情况下,全科医生转诊方法会过滤掉潜在的问题合并。“临界”情况尤其如此。因此,应谨慎进行过滤,并结合其他证据进行过滤。
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