Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91833
Title: Modeling patients' illness perception and equilibrium analysis of their doctor shopping behavior
Authors: Huang, F
Guo, P
Wang, Y 
Issue Date: 2021
Source: Production and operations management, Mar. 2022, v. 31, no. 3, p. 1216-1234
Abstract: When a patient's illness perception is inconsistent with a doctor's diagnosis, she may seek opinions from multiple doctors without referrals, a behavior called doctor shopping. In this study, we model and derive patients’ optimal doctor shopping decisions. After each visit, patients update their beliefs about their health status following the Bayes’ rule. We show that the patients’ doctor shopping decisions are critically affected by the diagnosis accuracy, the relative value of identifying a severely ill patient, and the cost per visit. We examine how the patients’ doctor shopping behavior affects social welfare from two aspects, namely, an objective one that accesses whether doctor shopping improves the judgment accuracy regarding the patient's health status, and a subjective one concerning whether doctor shopping relieves patients’ anxiety. We find that allowing patients to conduct doctor shopping exacerbates the system congestion (congestion effect), but it can help those patients who have decided to join obtain a higher reward (reward effect). There exists a diagnosis accuracy threshold above which allowing doctor shopping incurs a welfare loss and below which allowing doctor shopping improves welfare. Moreover, this diagnosis accuracy threshold increases as patients become more pessimistic or hold more diverse initial illness perceptions. The objective welfare maximization prefers a higher doctor shopping rate than the subjective welfare maximization does only when the value of identifying a severely ill patient is high enough, which may help explain why doctor shopping is encouraged for the critical illness such as cancer.
Keywords: Doctor shopping
Healthcare
Queueing strategy
Publisher: Wiley-Blackwell
Journal: Production and operations management 
ISSN: 1059-1478
EISSN: 1937-5956
DOI: 10.1111/poms.13606
Appears in Collections:Journal/Magazine Article

Open Access Information
Status embargoed access
Embargo End Date 2024-03-31
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

35
Last Week
1
Last month
Citations as of Jun 4, 2023

SCOPUSTM   
Citations

2
Citations as of Jun 2, 2023

WEB OF SCIENCETM
Citations

2
Citations as of Jun 1, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.