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公共医疗系统中的经济激励与诊断编码

Economic incentives and diagnostic coding in a public health care system.

作者信息

Anthun Kjartan Sarheim, Bjørngaard Johan Håkon, Magnussen Jon

机构信息

Department of Public Health and General Practice, NTNU, Norwegian University of Science and Technology, 7491, Trondheim, Norway.

Department of Health Research, SINTEF Technology and Society, Trondheim, Norway.

出版信息

Int J Health Econ Manag. 2017 Mar;17(1):83-101. doi: 10.1007/s10754-016-9201-9.

Abstract

We analysed the association between economic incentives and diagnostic coding practice in the Norwegian public health care system. Data included 3,180,578 hospital discharges in Norway covering the period 1999-2008. For reimbursement purposes, all discharges are grouped in diagnosis-related groups (DRGs). We examined pairs of DRGs where the addition of one or more specific diagnoses places the patient in a complicated rather than an uncomplicated group, yielding higher reimbursement. The economic incentive was measured as the potential gain in income by coding a patient as complicated, and we analysed the association between this gain and the share of complicated discharges within the DRG pairs. Using multilevel linear regression modelling, we estimated both differences between hospitals for each DRG pair and changes within hospitals for each DRG pair over time. Over the whole period, a one-DRG-point difference in price was associated with an increased share of complicated discharges of 14.2 (95 % confidence interval [CI] 11.2-17.2) percentage points. However, a one-DRG-point change in prices between years was only associated with a 0.4 (95 % CI [Formula: see text] to 1.8) percentage point change of discharges into the most complicated diagnostic category. Although there was a strong increase in complicated discharges over time, this was not as closely related to price changes as expected.

摘要

我们分析了挪威公共医疗系统中经济激励措施与诊断编码实践之间的关联。数据涵盖了1999年至2008年期间挪威的3180578例医院出院病例。为了进行报销,所有出院病例都被归入诊断相关组(DRG)。我们研究了这样的DRG对:增加一个或多个特定诊断会使患者被归入复杂组而非简单组,从而获得更高的报销额度。经济激励以将患者编码为复杂病例所带来的潜在收入增加来衡量,我们分析了这种收入增加与DRG对中复杂出院病例所占比例之间的关联。使用多层线性回归模型,我们估计了每个DRG对在不同医院之间的差异以及每个DRG对在各医院随时间的变化情况。在整个期间,价格上一个DRG点的差异与复杂出院病例所占比例增加14.2(95%置信区间[CI] 11.2 - 17.2)个百分点相关。然而,年份之间价格上一个DRG点的变化仅与进入最复杂诊断类别的出院病例变化0.4(95% CI [公式:见原文]至1.8)个百分点相关。尽管随着时间推移复杂出院病例大幅增加,但这与价格变化的关联并不像预期的那样紧密。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b11/5703022/341f73948465/10754_2016_9201_Fig1_HTML.jpg

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