Katharina Schuler, Ian-C Jung, Maria Zerlik, Waldemar Hahn, Martin Sedlmayr, Brita Sedlmayr
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引用次数: 0
摘要
背景:临床决策支持系统(CDSS)经常表现出上下文适应不足,降低了用户参与度。为了提高CDSS对环境条件的敏感性,首先对影响临床决策过程的环境因素进行全面的了解是至关重要的。因此,本研究旨在系统地识别并从文献中提供影响临床决策的背景因素的广泛概述,以便在未来实施CDSS时考虑这些因素。方法:根据PRISMA-ScR指南进行范围审查,以确定临床决策过程中的环境因素。检索在9个数据库中进行:PubMed, APA PsycInfo, APA PsyArticles, PSYINDEX, CINAHL, Scopus, Embase, Web of Science和LIVIVO。搜索策略侧重于与上下文因素和临床决策相关的组合术语。纳入的文章是用英语或德语撰写的原创研究文章,涉及与临床决策相关的实证调查。采用卡片分类法对识别出的环境因子进行分类,以保证分类的准确性。结果:共纳入文献84篇,提取环境因子946个。通过卡片分类将这些因素分配到六个主要实体:患者、医生、患者家属、机构、同事和疾病治疗。大多数确定的背景因素与患者的个人特征有关,如健康状况和人口统计属性,以及医生的个人特征,包括人口统计数据、技能和知识。结论:本研究全面概述了文献中研究的临床决策环境因素,强调了决策过程中环境影响的复杂性和多样性。通过对已确定的环境因素提供详细的基础,本研究为未来研究开发更有效、环境敏感的CDSS、增强个性化医疗和优化临床结果铺平了道路,对实践和政策具有重要意义。
Context factors in clinical decision-making: a scoping review.
Background: Clinical decision support systems (CDSS) frequently exhibit insufficient contextual adaptation, diminishing user engagement. To enhance the sensitivity of CDSS to contextual conditions, it is crucial first to develop a comprehensive understanding of the context factors influencing the clinical decision-making process. Therefore, this study aims to systematically identify and provide an extensive overview of contextual factors affecting clinical decision-making from the literature, enabling their consideration in the future implementation of CDSS.
Methods: A scoping review was conducted following the PRISMA-ScR guidelines to identify context factors in the clinical decision-making process. Searches were performed across nine databases: PubMed, APA PsycInfo, APA PsyArticles, PSYINDEX, CINAHL, Scopus, Embase, Web of Science, and LIVIVO. The search strategy focused on combined terms related to contextual factors and clinical decision-making. Included articles were original research articles written in English or German that involved empirical investigations related to clinical decision-making. The identified context factors were categorized using the card sorting method to ensure accurate classification.
Results: The data synthesis included 84 publications, from which 946 context factors were extracted. These factors were assigned to six primary entities through card sorting: patient, physician, patient's family, institution, colleagues, and disease treatment. The majority of the identified context factors pertained to individual characteristics of the patient, such as health status and demographic attributes, as well as individual characteristics of the physician, including demographic data, skills, and knowledge.
Conclusion: This study provides a comprehensive overview of context factors in clinical decision-making previously investigated in the literature, highlighting the complexity and diversity of contextual influences on the decision-making process. By offering a detailed foundation of identified context factors, this study paves the way for future research to develop more effective, context-sensitive CDSS, enhancing personalized medicine and optimizing clinical outcomes with implications for practice and policy.
期刊介绍:
BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.