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一种用于在常规收集的数据中选择和量化低价值处方行为的方法学方案:一项澳大利亚案例研究。

A methodological protocol for selecting and quantifying low-value prescribing practices in routinely collected data: an Australian case study.

作者信息

Brett Jonathan, Elshaug Adam G, Bhatia R Sacha, Chalmers Kelsey, Badgery-Parker Tim, Pearson Sallie-Anne

机构信息

Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Level 1, AGSM Building (G27), Sydney, NSW, 2052, Australia.

Menzies Centre for Health Policy, School of Public Health, University of Sydney, Level 6 The Hub, Charles Perkins Centre D17, Sydney, NSW, 2006, Australia.

出版信息

Implement Sci. 2017 May 3;12(1):58. doi: 10.1186/s13012-017-0585-9.

Abstract

BACKGROUND

Growing imperatives for safety, quality and responsible resource allocation have prompted renewed efforts to identify and quantify harmful or wasteful (low-value) medical practices such as test ordering, procedures and prescribing. Quantifying these practices at a population level using routinely collected health data allows us to understand the scale of low-value medical practices, measure practice change following specific interventions and prioritise policy decisions. To date, almost all research examining health care through the low-value lens has focused on medical services (tests and procedures) rather than on prescribing. The protocol described herein outlines a program of research funded by Australia's National Health and Medical Research Council to select and quantify low-value prescribing practices within Australian routinely collected health data.

METHODS

We start by describing our process for identifying and cataloguing international low-value prescribing practices. We then outline our approach to translate these prescribing practices into indicators that can be applied to Australian routinely collected health data. Next, we detail methods of using Australian health data to quantify these prescribing practices (e.g. prevalence of low-value prescribing and related costs) and their downstream health consequences. We have approval from the necessary Australian state and commonwealth human research ethics and data access committees to undertake this work.

DISCUSSION

The lack of systematic and transparent approaches to quantification of low-value practices in routinely collected data has been noted in recent reviews. Here, we present a methodology applied in the Australian context with the aim of demonstrating principles that can be applied across jurisdictions in order to harmonise international efforts to measure low-value prescribing. The outcomes of this research will be submitted to international peer-reviewed journals. Results will also be presented at national and international pharmacoepidemiology and health policy forums such that other jurisdictions have guidance to adapt this methodology.

摘要

背景

对安全性、质量和资源合理分配的要求日益迫切,促使人们重新努力识别和量化有害或浪费(低价值)的医疗行为,如检查医嘱、手术和处方开具。利用常规收集的健康数据在人群层面量化这些行为,有助于我们了解低价值医疗行为的规模,衡量特定干预措施后的行为变化,并为政策决策确定优先事项。迄今为止,几乎所有通过低价值视角审视医疗保健的研究都集中在医疗服务(检查和手术)上,而非处方开具。本文所述方案概述了一项由澳大利亚国家卫生与医学研究委员会资助的研究计划,旨在从澳大利亚常规收集的健康数据中筛选并量化低价值处方开具行为。

方法

我们首先描述识别和编目国际低价值处方开具行为的过程。然后概述将这些处方开具行为转化为可应用于澳大利亚常规收集的健康数据的指标的方法。接下来,详细说明利用澳大利亚健康数据量化这些处方开具行为(如低价值处方开具的患病率及相关成本)及其下游健康后果的方法。我们已获得澳大利亚相关州和联邦的人类研究伦理及数据访问委员会的批准,可开展此项工作。

讨论

近期综述指出,在常规收集的数据中,缺乏系统且透明的低价值行为量化方法。在此,我们介绍一种在澳大利亚背景下应用的方法,旨在展示可跨辖区应用的原则,以协调国际上衡量低价值处方开具行为的努力。本研究结果将提交至国际同行评审期刊。研究结果还将在国家和国际药物流行病学及卫生政策论坛上展示,以便其他辖区能参考此方法进行调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58d/5415810/c676535cf67d/13012_2017_585_Fig1_HTML.jpg

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