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Performance-based contracts for outpatient medical services

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Performance-based contracts for outpatient medical services. / Jiang, Houyuan; Pang, Zhan; Savin, Sergei .
In: Manufacturing and Service Operations Management, Vol. 14, No. 4, 2013, p. 654-669.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Jiang, H, Pang, Z & Savin, S 2013, 'Performance-based contracts for outpatient medical services', Manufacturing and Service Operations Management, vol. 14, no. 4, pp. 654-669. https://doi.org/10.1287/msom.1120.0402

APA

Jiang, H., Pang, Z., & Savin, S. (2013). Performance-based contracts for outpatient medical services. Manufacturing and Service Operations Management, 14(4), 654-669. https://doi.org/10.1287/msom.1120.0402

Vancouver

Jiang H, Pang Z, Savin S. Performance-based contracts for outpatient medical services. Manufacturing and Service Operations Management. 2013;14(4):654-669. Epub 2012 Aug 3. doi: 10.1287/msom.1120.0402

Author

Jiang, Houyuan ; Pang, Zhan ; Savin, Sergei . / Performance-based contracts for outpatient medical services. In: Manufacturing and Service Operations Management. 2013 ; Vol. 14, No. 4. pp. 654-669.

Bibtex

@article{a684de55722d42fd8c780cdfc0395711,
title = "Performance-based contracts for outpatient medical services",
abstract = "In recent years, the performance-based approach to contracting for medical services has been gaining popularity across different healthcare delivery systems, both in the United States (under the name of “pay for performance”) and abroad (“payment by results” in the United Kingdom). The goal of our research is to build a unified performance-based contracting (PBC) framework that incorporates patient access-to-care requirements and that explicitly accounts for the complex outpatient care dynamics facilitated by the use of an online appointment scheduling system. We address the optimal contracting problem in a principal–agent framework where a service purchaser (the principal) minimizes her cost of purchasing the services and achieves the performance target (a waiting-time target) while taking into account the response of the provider (the agent) to the contract terms. Given the incentives offered by the contract, the provider maximizes his payoff by allocating his outpatient service capacity among three patient groups: urgent patients, dedicated advance patients, and flexible advance patients. We model the appointment dynamics as that of an M/D/1 queue and analyze several contracting approaches under adverse selection (asymmetric information) and moral hazard (private actions) settings. Our results show that simple and popular schemes used in practice cannot implement the first-best solution and that the linear performance-based contract cannot implement the second-best solution. To overcome these limitations, we propose a threshold-penalty PBC approach and show that it coordinates the system for an arbitrary patient mix and that it achieves the second-best performance for the setting where all advance patients are dedicated.",
keywords = "Health care, Contract Design, Pricing, Operations Management",
author = "Houyuan Jiang and Zhan Pang and Sergei Savin",
year = "2013",
doi = "10.1287/msom.1120.0402",
language = "English",
volume = "14",
pages = "654--669",
journal = "Manufacturing and Service Operations Management",
issn = "1523-4614",
publisher = "INFORMS Inst.for Operations Res.and the Management Sciences",
number = "4",

}

RIS

TY - JOUR

T1 - Performance-based contracts for outpatient medical services

AU - Jiang, Houyuan

AU - Pang, Zhan

AU - Savin, Sergei

PY - 2013

Y1 - 2013

N2 - In recent years, the performance-based approach to contracting for medical services has been gaining popularity across different healthcare delivery systems, both in the United States (under the name of “pay for performance”) and abroad (“payment by results” in the United Kingdom). The goal of our research is to build a unified performance-based contracting (PBC) framework that incorporates patient access-to-care requirements and that explicitly accounts for the complex outpatient care dynamics facilitated by the use of an online appointment scheduling system. We address the optimal contracting problem in a principal–agent framework where a service purchaser (the principal) minimizes her cost of purchasing the services and achieves the performance target (a waiting-time target) while taking into account the response of the provider (the agent) to the contract terms. Given the incentives offered by the contract, the provider maximizes his payoff by allocating his outpatient service capacity among three patient groups: urgent patients, dedicated advance patients, and flexible advance patients. We model the appointment dynamics as that of an M/D/1 queue and analyze several contracting approaches under adverse selection (asymmetric information) and moral hazard (private actions) settings. Our results show that simple and popular schemes used in practice cannot implement the first-best solution and that the linear performance-based contract cannot implement the second-best solution. To overcome these limitations, we propose a threshold-penalty PBC approach and show that it coordinates the system for an arbitrary patient mix and that it achieves the second-best performance for the setting where all advance patients are dedicated.

AB - In recent years, the performance-based approach to contracting for medical services has been gaining popularity across different healthcare delivery systems, both in the United States (under the name of “pay for performance”) and abroad (“payment by results” in the United Kingdom). The goal of our research is to build a unified performance-based contracting (PBC) framework that incorporates patient access-to-care requirements and that explicitly accounts for the complex outpatient care dynamics facilitated by the use of an online appointment scheduling system. We address the optimal contracting problem in a principal–agent framework where a service purchaser (the principal) minimizes her cost of purchasing the services and achieves the performance target (a waiting-time target) while taking into account the response of the provider (the agent) to the contract terms. Given the incentives offered by the contract, the provider maximizes his payoff by allocating his outpatient service capacity among three patient groups: urgent patients, dedicated advance patients, and flexible advance patients. We model the appointment dynamics as that of an M/D/1 queue and analyze several contracting approaches under adverse selection (asymmetric information) and moral hazard (private actions) settings. Our results show that simple and popular schemes used in practice cannot implement the first-best solution and that the linear performance-based contract cannot implement the second-best solution. To overcome these limitations, we propose a threshold-penalty PBC approach and show that it coordinates the system for an arbitrary patient mix and that it achieves the second-best performance for the setting where all advance patients are dedicated.

KW - Health care

KW - Contract Design

KW - Pricing

KW - Operations Management

U2 - 10.1287/msom.1120.0402

DO - 10.1287/msom.1120.0402

M3 - Journal article

VL - 14

SP - 654

EP - 669

JO - Manufacturing and Service Operations Management

JF - Manufacturing and Service Operations Management

SN - 1523-4614

IS - 4

ER -