影响抗生素处方的环境因素:GP注册者的离散选择实验。

IF 3.1 4区 医学 Q1 ECONOMICS
Gregory Merlo, Lisa Hall, Parker Magin, Amanda Tapley, Katie J. Mulquiney, Alison Fielding, Andrew Davey, Joshua Davies, Mieke van Driel
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引用次数: 0

摘要

导言:抗菌素耐药性是与抗生素过度处方有关的全球紧急情况。很少有研究探索处方行为如何随着耐药性的改变而改变。了解环境因素如何影响抗生素处方将有助于改进沟通策略,以促进适当的抗生素处方。我们的目的是开发并进行离散选择实验(DCE),以衡量背景因素如何影响全科医生(GP)注册者的预期抗生素处方。方法:作为DCE属性的因素包括抗生素耐药水平、处方机构的要求、低处方的实践激励计划(PIP)的存在以及低处方的主管支持。该调查以在线形式对在2020年至2021年期间接受培训的全科医生注册者进行了调查。在不相关选项独立、误差项独立、无偏好异质性假设的基础上,采用具有交互效应的条件logit模型进行回归分析。结果:总共有617名独特的受访者回答了至少一个选择题。应答者明显倾向于在抗生素耐药性为25-35%或40-60%时避免开抗生素处方,而耐药性为5-8%。当需要开处方的权力时,或者当有低抗生素处方的监管支持时,也有明显的偏好避免开处方。在主效应分析中,如果存在PIP,受访者选择处方选项的可能性显着降低;然而,当回归分析中包括相互作用效应时,PIP与耐药率之间存在显著的相互作用,但PIP的偏好权重不再显著。结论:社区耐药知识影响全科医生注册员开抗生素的意向。使用DCE可以确定影响处方的因素,而使用其他调查方法无法检测到这些因素。这些发现为向全科医生登记员开具、解释和沟通有关抗生素处方的问题提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contextual Factors that Influence Antibiotic Prescribing: A Discrete Choice Experiment of GP Registrars

Introduction

Antimicrobial resistance is a global emergency related to overprescribing of antibiotics. Few studies have explored how prescribing behaviours may change as the consequence of changing resistance. Understanding how contextual factors influence antibiotic prescribing will facilitate improved communication strategies to promote appropriate antibiotic prescribing. We aimed to develop and conduct a discrete choice experiment (DCE) to measure how contextual factors influence intended antibiotic prescribing of general practitioner (GP) registrars.

Methods

Factors included as attributes in the DCE were level of antibiotic resistance, requirement for an authority to prescribe, existence of a Practice Incentives Program (PIP) for low prescribing and supervisor support for low prescribing. The survey was administered in an online format for GP registrars undergoing training between 2020 and 2021. Regression analysis using a conditional logit model with interaction effects was used on the basis of the assumptions of independence of irrelevant alternatives, independence of error terms and no preference heterogeneity.

Results

In total, 617 unique respondents answered at least one choice set question. Respondents showed significant preference for avoiding prescribing antibiotics when antibiotic resistance was 25–35% or 40–60% compared with 5–8%. There was also a significant preference for avoiding prescribing when an authority to prescribe was required, or when there was supervisory support of low antibiotic prescribing. In the main effects analysis, respondents were significantly less likely to choose a prescribing option if there was a PIP; however, when interaction effects were included in the regression analysis there was a significant interaction between PIP and resistance rates, but the preference weights for PIP was no longer significant.

Conclusions

Knowledge about community resistance impacts the stated intention of GP registrars to prescribe antibiotics. The use of the DCE may have made it possible to determine factors influencing prescribing that would not be detected using other survey methods. These findings provide guidance for producing, explaining and communicating issues regarding antibiotic prescribing to GP registrars.

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来源期刊
Applied Health Economics and Health Policy
Applied Health Economics and Health Policy Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
6.10
自引率
2.80%
发文量
64
期刊介绍: Applied Health Economics and Health Policy provides timely publication of cutting-edge research and expert opinion from this increasingly important field, making it a vital resource for payers, providers and researchers alike. The journal includes high quality economic research and reviews of all aspects of healthcare from various perspectives and countries, designed to communicate the latest applied information in health economics and health policy. While emphasis is placed on information with practical applications, a strong basis of underlying scientific rigor is maintained.
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