Do Diagnosis-Related Group-Based Payments Incentivise Hospitals to Adjust Output Mix?

盈利能力指数 付款 内生性 背景(考古学) 利润(经济学) 精算学 范围经济 诊断相关组 业务 公共经济学 经济 医疗保健 微观经济学 财务 计量经济学 经济增长 古生物学 生物 规模经济
作者
Li-Lin Liang
出处
期刊:Health Economics [Wiley]
卷期号:24 (4): 454-469 被引量:13
标识
DOI:10.1002/hec.3033
摘要

This study investigates whether the diagnosis-related group (DRG)-based payment method motivates hospitals to adjust output mix in order to maximise profits. The hypothesis is that when there is an increase in profitability of a DRG, hospitals will increase the proportion of that DRG (own-price effects) and decrease those of other DRGs (cross-price effects), except in cases where there are scope economies in producing two different DRGs. This conjecture is tested in the context of the case payment scheme (CPS) under Taiwan's National Health Insurance programme over the period of July 1999 to December 2004. To tackle endogeneity of DRG profitability and treatment policy, a fixed-effects three-stage least squares method is applied. The results support the hypothesised own-price and cross-price effects, showing that DRGs which share similar resources appear to be complements rather substitutes. For-profit hospitals do not appear to be more responsive to DRG profitability, possibly because of their institutional characteristics and bonds with local communities. The key conclusion is that DRG-based payments will encourage a type of ‘product-range’ specialisation, which may improve hospital efficiency in the long run. However, further research is needed on how changes in output mix impact patient access and pay-outs of health insurance. Copyright © 2014 John Wiley & Sons, Ltd.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
迷人成协发布了新的文献求助10
刚刚
随心而动发布了新的文献求助10
刚刚
2秒前
可爱玫瑰完成签到,获得积分20
2秒前
田様应助随心采纳,获得10
2秒前
3秒前
仿真小学生完成签到,获得积分10
3秒前
Marga77完成签到,获得积分10
5秒前
5秒前
6秒前
mmain发布了新的文献求助30
6秒前
liliping发布了新的文献求助10
6秒前
ZeKaWa应助孤独天薇采纳,获得80
7秒前
小马甲应助echoyao采纳,获得10
7秒前
Judy1111发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
9秒前
9秒前
9秒前
wrt关注了科研通微信公众号
10秒前
10秒前
11秒前
xch发布了新的文献求助10
11秒前
Hangerli发布了新的文献求助10
11秒前
11秒前
云很淡发布了新的文献求助10
11秒前
12秒前
张张张发布了新的文献求助10
12秒前
111发布了新的文献求助10
13秒前
斯文败类应助土豪的梦曼采纳,获得10
13秒前
随心发布了新的文献求助10
13秒前
S月小小发布了新的文献求助10
13秒前
木木三发布了新的文献求助30
14秒前
ydd发布了新的文献求助10
15秒前
16秒前
liuapple发布了新的文献求助10
16秒前
18秒前
19秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492218
求助须知:如何正确求助?哪些是违规求助? 8289901
关于积分的说明 17689512
捐赠科研通 5583984
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750410