Bundled Payment vs. Fee-for-Service: Impact of Payment Scheme on Performance

付款 激励 精算学 业务 随机博弈 服务费 人口 医疗保健 服务(商务) 服务提供商 风险分析(工程) 微观经济学 财务 经济 营销 医学 环境卫生 经济增长
作者
Elodie Adida,Hamed Mamani,Shima Nassiri
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:63 (5): 1606-1624 被引量:166
标识
DOI:10.1287/mnsc.2016.2445
摘要

Healthcare reimbursements in the United States have been traditionally based on a fee-for-service (FFS) scheme, providing incentives for high volume of care, rather than efficient care. The new healthcare legislation tests new payment models that remove such incentives, such as the bundled payment (BP) system. We consider a population of patients (beneficiaries). The provider may reject patients based on the patient’s cost profile and selects the treatment intensity based on a risk-averse utility function. Treatment may result in success or failure, where failure means that unforeseen complications require further care. Our interest is in analyzing the effect of different payment schemes on outcomes such as the presence and extent of patient selection, the treatment intensity, the provider’s utility and financial risk, and the total system payoff. Our results confirm that FFS provides incentives for excessive treatment intensity and results in suboptimal system payoff. We show that BP could lead to suboptimal patient selection and treatment levels that may be lower or higher than desirable for the system, with a high level of financial risk for the provider. We also find that the performance of BP is extremely sensitive to the bundled payment value and to the provider’s risk aversion. The performance of both BP and FFS degrades when the provider becomes more risk averse. We design two payment systems, hybrid payment and stop-loss mechanisms, that alleviate the shortcomings of FFS and BP and may induce system optimum decisions in a complementary manner. This paper was accepted by Serguei Netessine, operations management.
最长约 10秒,即可获得该文献文件

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
缥缈幻柏发布了新的文献求助10
刚刚
我能私信骂你吗应助crepe采纳,获得10
刚刚
1秒前
CodeCraft应助小白智取饼干采纳,获得10
1秒前
FashionBoy应助自由曼冬采纳,获得10
1秒前
xiaoma完成签到,获得积分10
2秒前
2秒前
3秒前
sxj发布了新的文献求助10
3秒前
旷野应助Miraitowa采纳,获得10
3秒前
4秒前
Ava应助兮兮糖采纳,获得10
4秒前
4秒前
5秒前
Behappy完成签到 ,获得积分10
6秒前
7秒前
乐求知发布了新的文献求助10
7秒前
deng完成签到 ,获得积分10
7秒前
简单海露应助kyyyyy采纳,获得10
8秒前
常青发布了新的文献求助10
9秒前
jason0023发布了新的文献求助10
9秒前
XYZONE应助xiaoma采纳,获得10
9秒前
浅清欢完成签到 ,获得积分10
9秒前
10秒前
鱼丸完成签到,获得积分10
11秒前
annafan完成签到,获得积分10
11秒前
小魏发布了新的文献求助10
12秒前
Haiiu完成签到,获得积分10
13秒前
13秒前
deng关注了科研通微信公众号
13秒前
13秒前
口腔发布了新的文献求助10
14秒前
14秒前
CodeCraft应助sxj采纳,获得10
14秒前
乐求知完成签到,获得积分10
15秒前
有逻辑的卡比兽完成签到,获得积分20
16秒前
酥酥脆完成签到,获得积分10
17秒前
D_SUPER应助ly采纳,获得30
17秒前
汉堡包应助研友_pnxAJZ采纳,获得10
18秒前
深情安青应助sinlar采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HYDROLYSE ACIDE DE QUELQUES DIOXASPIROCYCLANES 1314
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7748280
求助须知:如何正确求助?哪些是违规求助? 9296400
关于积分的说明 20234786
捐赠科研通 7329514
什么是DOI,文献DOI怎么找? 3308774
关于科研通互助平台的介绍 2460530
邀请新用户注册赠送积分活动 2320824