A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics
Senlin Lin, 1, 2,* Yingyan Ma, 1, 2,* Haidong Zou 1, 2 1Department of Eye Disease Prevention, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai 200010, People’s Republic of China; 2Shanghai General Hospital, National Clinical Research Center for Eye Di...
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doaj-03b525d3d03344278cac8a5db8ec30c22020-11-24T21:47:14ZengDove Medical PressPatient Preference and Adherence1177-889X2020-02-01Volume 1437138152078A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral EconomicsLin SMa YZou HSenlin Lin, 1, 2,* Yingyan Ma, 1, 2,* Haidong Zou 1, 2 1Department of Eye Disease Prevention, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai 200010, People’s Republic of China; 2Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Haidong ZouDepartment of Eye Disease Prevention, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai 200010, People’s Republic of ChinaTel +86 133 1198 6528Email zouhaidong@263.netPurpose: This study tried to establish a metric framework of patient adherence to doctor’s advice based on the expected utility and prospect theories, and it explained why the key to patient adherence to doctor’s advice is patients’ perceptions.Methods: Our framework is primarily based on two mature theories: expected utility theory and prospect theory. We started with a basic assumption: the doctor is rational and cares for patient’s health utility. We analyzed the expected utility of therapy with a definite diagnosis. Then, we considered the impacts of the accuracy of diagnostic techniques. After that, we explored the patient’s response to the doctors’ advices based on behavioral economics. In addition, we launched a discrete choice experiment to test our main point: perception is the key to patients’ adherence. A total of 200 undergraduate students participated in the discrete choice experiment.Results: Three main factors might impact a rational clinical decision: the therapeutic and side effects of the treatment, patient’s true disease risk, and diagnostic accuracy. However, another factor, patient’s individual percepion, was crucial for patient’s adherence since it may bias the patient’s estimations regarding the above three factors. As a result, doctors and patients would have a cognitive gap in the estimation of the disease and the treatment.Conclusion: The results indicate that without the necessary information, better clinical techniques may not help to improve patient adherence, which support our theoretical reasoning forcefully. Therefore, improving patient adherence should be more of a process of empathy and communication rather than a promotion of medical technology.Keywords: patient adherence, behavioral economics, discrete choice experimenthttps://www.dovepress.com/a-brief-metric-framework-for-patient-adherence-to-doctors-advice-based-peer-reviewed-article-PPApatient adherencebehavioral economicsdiscrete choice experiment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lin S Ma Y Zou H |
spellingShingle |
Lin S Ma Y Zou H A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics Patient Preference and Adherence patient adherence behavioral economics discrete choice experiment |
author_facet |
Lin S Ma Y Zou H |
author_sort |
Lin S |
title |
A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics |
title_short |
A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics |
title_full |
A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics |
title_fullStr |
A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics |
title_full_unstemmed |
A Brief Metric Framework for Patient Adherence to Doctor’s Advice Based on Behavioral Economics |
title_sort |
brief metric framework for patient adherence to doctor’s advice based on behavioral economics |
publisher |
Dove Medical Press |
series |
Patient Preference and Adherence |
issn |
1177-889X |
publishDate |
2020-02-01 |
description |
Senlin Lin, 1, 2,* Yingyan Ma, 1, 2,* Haidong Zou 1, 2 1Department of Eye Disease Prevention, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai 200010, People’s Republic of China; 2Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Haidong ZouDepartment of Eye Disease Prevention, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai 200010, People’s Republic of ChinaTel +86 133 1198 6528Email zouhaidong@263.netPurpose: This study tried to establish a metric framework of patient adherence to doctor’s advice based on the expected utility and prospect theories, and it explained why the key to patient adherence to doctor’s advice is patients’ perceptions.Methods: Our framework is primarily based on two mature theories: expected utility theory and prospect theory. We started with a basic assumption: the doctor is rational and cares for patient’s health utility. We analyzed the expected utility of therapy with a definite diagnosis. Then, we considered the impacts of the accuracy of diagnostic techniques. After that, we explored the patient’s response to the doctors’ advices based on behavioral economics. In addition, we launched a discrete choice experiment to test our main point: perception is the key to patients’ adherence. A total of 200 undergraduate students participated in the discrete choice experiment.Results: Three main factors might impact a rational clinical decision: the therapeutic and side effects of the treatment, patient’s true disease risk, and diagnostic accuracy. However, another factor, patient’s individual percepion, was crucial for patient’s adherence since it may bias the patient’s estimations regarding the above three factors. As a result, doctors and patients would have a cognitive gap in the estimation of the disease and the treatment.Conclusion: The results indicate that without the necessary information, better clinical techniques may not help to improve patient adherence, which support our theoretical reasoning forcefully. Therefore, improving patient adherence should be more of a process of empathy and communication rather than a promotion of medical technology.Keywords: patient adherence, behavioral economics, discrete choice experiment |
topic |
patient adherence behavioral economics discrete choice experiment |
url |
https://www.dovepress.com/a-brief-metric-framework-for-patient-adherence-to-doctors-advice-based-peer-reviewed-article-PPA |
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