Difference between revisions of "Wang2020c"

From emcawiki
Jump to: navigation, search
m
 
Line 9: Line 9:
 
|Journal=Social Science & Medicine
 
|Journal=Social Science & Medicine
 
|Volume=262
 
|Volume=262
|Pages=e113251
+
|Pages=eid: 113251
 
|URL=https://www.sciencedirect.com/science/article/abs/pii/S0277953620304706
 
|URL=https://www.sciencedirect.com/science/article/abs/pii/S0277953620304706
 
|DOI=10.1016/j.socscimed.2020.113251
 
|DOI=10.1016/j.socscimed.2020.113251
 
|Abstract=Antibiotic resistance and its associated overprescription constitute one of the biggest global public health crises nowadays. Although widely recognized in high-income countries, the problem has not received enough attention and is not understood in the context of middle- and low-income countries. In this study, using a conversation analysis (CA) approach, I examine the antibiotic treatment decisions in naturally occurring medical encounters in China. The results show that, contrary to the prevailing theory of the physician incentive structure as the sole driver, antibiotic overprescription can be interactively achieved and significantly influenced by patients and caregivers in medical encounters. This suggests that management of patient caregivers’ expectations for antibiotic treatment and the training of physicians’ interactional skills in responding to patient/caregiver pressure in medical interactions both have great potential for curbing the problem of antibiotic overprescription in China.
 
|Abstract=Antibiotic resistance and its associated overprescription constitute one of the biggest global public health crises nowadays. Although widely recognized in high-income countries, the problem has not received enough attention and is not understood in the context of middle- and low-income countries. In this study, using a conversation analysis (CA) approach, I examine the antibiotic treatment decisions in naturally occurring medical encounters in China. The results show that, contrary to the prevailing theory of the physician incentive structure as the sole driver, antibiotic overprescription can be interactively achieved and significantly influenced by patients and caregivers in medical encounters. This suggests that management of patient caregivers’ expectations for antibiotic treatment and the training of physicians’ interactional skills in responding to patient/caregiver pressure in medical interactions both have great potential for curbing the problem of antibiotic overprescription in China.
 
}}
 
}}

Latest revision as of 09:12, 6 November 2020

Wang2020c
BibType ARTICLE
Key Wang2020c
Author(s) Nan Wang
Title Understanding Antibiotic Overprescribing in China: A Conversation Analysis Approach
Editor(s)
Tag(s) EMCA, China, Prescriptions, Antibiotics, Medical, treatment decision
Publisher
Year 2020
Language English
City
Month
Journal Social Science & Medicine
Volume 262
Number
Pages eid: 113251
URL Link
DOI 10.1016/j.socscimed.2020.113251
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

Download BibTex

Abstract

Antibiotic resistance and its associated overprescription constitute one of the biggest global public health crises nowadays. Although widely recognized in high-income countries, the problem has not received enough attention and is not understood in the context of middle- and low-income countries. In this study, using a conversation analysis (CA) approach, I examine the antibiotic treatment decisions in naturally occurring medical encounters in China. The results show that, contrary to the prevailing theory of the physician incentive structure as the sole driver, antibiotic overprescription can be interactively achieved and significantly influenced by patients and caregivers in medical encounters. This suggests that management of patient caregivers’ expectations for antibiotic treatment and the training of physicians’ interactional skills in responding to patient/caregiver pressure in medical interactions both have great potential for curbing the problem of antibiotic overprescription in China.

Notes