{"title":"An Analysis of Incentive Schemes for Participant Retention in Clinical Studies","authors":"Xueze Song, Mili Mehrotra, Tharanga Rajapakshe","doi":"10.1287/msom.2022.1184","DOIUrl":null,"url":null,"abstract":"Problem definition: Participant retention is one of the significant issues faced by clinical studies. This paper analyzes the economic impact of combining two mechanisms (monetary payments to participants and effort exerted during a clinical study) observed in practice to improve retention. Methodology/results: Given an incentive scheme, under full information and information asymmetry regarding participants’ characteristics, we model the problem of identifying optimal payment and effort to improve retention for a clinical study using a nonlinear integer program. We propose polynomial-time algorithms to solve the problem under full information for a participant-specific linear payment scheme and two commonly observed incentive schemes: Fixed Payment (FP) and Logistics Reimbursement (RE). We also provide exact methods to solve the problem under information asymmetry for the FP and RE schemes. We conduct a comprehensive computational study to gain insights into the relative performance of these schemes. Under full information, the participant-specific scheme can reduce the retention cost by about 46%, on average, compared with that under the RE and FP schemes. Information asymmetry causes the RE scheme to be more favorable than the FP scheme in a wider variety of clinical studies. Further, the value of acquiring participants’ characteristics information is significant under the FP scheme compared with that under the RE scheme. Managerial implications: The determination of monetary payments is ad hoc in practice. Further, an economic analysis of the two mechanisms for improving retention in clinical studies is absent. Given the participants and the clinical study characteristics under full information and information asymmetry, our analysis enables a decision maker to identify an optimum incentive scheme, monetary payment, and effort level for improving retention. Further, our analysis allows a clinical study decision maker to assess budget requirements to improve retention and adapt the incentive payments to Institutional Review Board guidelines, if any. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1184 .","PeriodicalId":49901,"journal":{"name":"M&som-Manufacturing & Service Operations Management","volume":"350 1","pages":"0"},"PeriodicalIF":4.8000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"M&som-Manufacturing & Service Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/msom.2022.1184","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 1
Abstract
Problem definition: Participant retention is one of the significant issues faced by clinical studies. This paper analyzes the economic impact of combining two mechanisms (monetary payments to participants and effort exerted during a clinical study) observed in practice to improve retention. Methodology/results: Given an incentive scheme, under full information and information asymmetry regarding participants’ characteristics, we model the problem of identifying optimal payment and effort to improve retention for a clinical study using a nonlinear integer program. We propose polynomial-time algorithms to solve the problem under full information for a participant-specific linear payment scheme and two commonly observed incentive schemes: Fixed Payment (FP) and Logistics Reimbursement (RE). We also provide exact methods to solve the problem under information asymmetry for the FP and RE schemes. We conduct a comprehensive computational study to gain insights into the relative performance of these schemes. Under full information, the participant-specific scheme can reduce the retention cost by about 46%, on average, compared with that under the RE and FP schemes. Information asymmetry causes the RE scheme to be more favorable than the FP scheme in a wider variety of clinical studies. Further, the value of acquiring participants’ characteristics information is significant under the FP scheme compared with that under the RE scheme. Managerial implications: The determination of monetary payments is ad hoc in practice. Further, an economic analysis of the two mechanisms for improving retention in clinical studies is absent. Given the participants and the clinical study characteristics under full information and information asymmetry, our analysis enables a decision maker to identify an optimum incentive scheme, monetary payment, and effort level for improving retention. Further, our analysis allows a clinical study decision maker to assess budget requirements to improve retention and adapt the incentive payments to Institutional Review Board guidelines, if any. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1184 .
期刊介绍:
M&SOM is the INFORMS journal for operations management. The purpose of the journal is to publish high-impact manuscripts that report relevant research on important problems in operations management (OM). The field of OM is the study of the innovative or traditional processes for the design, procurement, production, delivery, and recovery of goods and services. OM research entails the control, planning, design, and improvement of these processes. This research can be prescriptive, descriptive, or predictive; however, the intent of the research is ultimately to develop some form of enduring knowledge that can lead to more efficient or effective processes for the creation and delivery of goods and services.
M&SOM encourages a variety of methodological approaches to OM research; papers may be theoretical or empirical, analytical or computational, and may be based on a range of established research disciplines. M&SOM encourages contributions in OM across the full spectrum of decision making: strategic, tactical, and operational. Furthermore, the journal supports research that examines pertinent issues at the interfaces between OM and other functional areas.