在资源有限的环境中扩大兽医临床决策支持的可及性:医学和抗菌药物管理中临床决策支持工具的范围综述
Expanding access to veterinary clinical decision support in resource-limited settings: a scoping review of clinical decision support tools in medicine and antimicrobial stewardship.
作者信息
Yusuf Havan, Hillman Alison, Stegeman Jan Arend, Cameron Angus, Badger Skye
机构信息
Ausvet, Fremantle, WA, Australia.
Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
出版信息
Front Vet Sci. 2024 Jun 4;11:1349188. doi: 10.3389/fvets.2024.1349188. eCollection 2024.
INTRODUCTION
Digital clinical decision support (CDS) tools are of growing importance in supporting healthcare professionals in understanding complex clinical problems and arriving at decisions that improve patient outcomes. CDS tools are also increasingly used to improve antimicrobial stewardship (AMS) practices in healthcare settings. However, far fewer CDS tools are available in lowerand middle-income countries (LMICs) and in animal health settings, where their use in improving diagnostic and treatment decision-making is likely to have the greatest impact. The aim of this study was to evaluate digital CDS tools designed as a direct aid to support diagnosis and/or treatment decisionmaking, by reviewing their scope, functions, methodologies, and quality. Recommendations for the development of veterinary CDS tools in LMICs are then provided.
METHODS
The review considered studies and reports published between January 2017 and October 2023 in the English language in peer-reviewed and gray literature.
RESULTS
A total of 41 studies and reports detailing CDS tools were included in the final review, with 35 CDS tools designed for human healthcare settings and six tools for animal healthcare settings. Of the tools reviewed, the majority were deployed in high-income countries (80.5%). Support for AMS programs was a feature in 12 (29.3%) of the tools, with 10 tools in human healthcare settings. The capabilities of the CDS tools varied when reviewed against the GUIDES checklist.
DISCUSSION
We recommend a methodological approach for the development of veterinary CDS tools in LMICs predicated on securing sufficient and sustainable funding. Employing a multidisciplinary development team is an important first step. Developing standalone CDS tools using Bayesian algorithms based on local expert knowledge will provide users with rapid and reliable access to quality guidance on diagnoses and treatments. Such tools are likely to contribute to improved disease management on farms and reduce inappropriate antimicrobial use, thus supporting AMS practices in areas of high need.
引言
数字临床决策支持(CDS)工具在帮助医疗保健专业人员理解复杂的临床问题并做出改善患者预后的决策方面,正变得越来越重要。CDS工具也越来越多地用于改善医疗机构中的抗菌药物管理(AMS)实践。然而,在低收入和中等收入国家(LMICs)以及动物健康领域,可用的CDS工具要少得多,而在这些地方,它们在改善诊断和治疗决策方面的应用可能会产生最大的影响。本研究的目的是通过审查数字CDS工具的范围、功能、方法和质量,来评估其作为支持诊断和/或治疗决策的直接辅助工具的效果。随后提供了关于在LMICs中开发兽医CDS工具的建议。
方法
该综述考虑了2017年1月至2023年10月期间以英文发表在同行评审和灰色文献中的研究和报告。
结果
最终综述共纳入了41项详细介绍CDS工具的研究和报告,其中35项CDS工具是为人类医疗保健环境设计的,6项是为动物医疗保健环境设计的。在所审查的工具中,大多数部署在高收入国家(80.5%)。12项(29.3%)工具具有支持AMS计划的功能,其中10项用于人类医疗保健环境。根据GUIDES清单进行审查时,CDS工具的功能各不相同。
讨论
我们建议采用一种方法来开发LMICs中的兽医CDS工具,前提是要获得足够且可持续的资金。组建一个多学科开发团队是重要的第一步。使用基于当地专家知识的贝叶斯算法开发独立的CDS工具,将为用户提供快速且可靠的高质量诊断和治疗指导。此类工具可能有助于改善农场的疾病管理,并减少不适当的抗菌药物使用,从而在高需求地区支持AMS实践。
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