Pinaire Jessica, Azé Jérôme, Bringay Sandra, Landais Paul
Biostatistics, Epidemiology and Public Health Department, Nîmes University Hospital, Place R Debré, 30 029 Nîmes, France.
UPRES EA 2415, Clinical Research University Institute, 641 av du Doyen Gaston Giraud, 34 093 Montpellier, France.
Health Inf Sci Syst. 2017 Apr 12;5(1):1. doi: 10.1007/s13755-017-0020-2. eCollection 2017 Dec.
Patient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients' trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients' trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient's hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves.
We performed a PubMed search to identify reports that had been published in peer-reviewed journals between January 1, 2000 and October 31, 2015. Fourteen search questions were formulated to guide our review. A semi-automatic text mining process based on a semantic approach was performed to conduct a comprehensive review of patient healthcare trajectory studies. Text mining techniques were used to explore the corpus in a semantic perspective in order to answer non-a priori questions. Complementary review methods on a selected subset were used to answer a priori questions.
Among the 33,514 publications initially selected for analysis, only 70 relevant articles were semi-automatically extracted and thoroughly analysed. Oncology is particularly prevalent due to its already well-established processes of care. For the trajectory thema, 80% of articles were distributed in 11 clusters. These clusters contain distinct semantic information, for example health outcomes (29%), care process (26%) and administrative and financial aspects (16%).
This literature review highlights the recent interest in the trajectory concept. The approach is also gradually being used to monitor trajectories of care for chronic diseases such as diabetes, organ failure or coronary artery and MI trajectory of care, to improve care and reduce costs. Patient trajectory is undoubtedly an essential approach to be further explored in order to improve healthcare monitoring.
患者医疗轨迹是文献中最近出现的一个新兴主题,涵盖广泛的概念。然而,研究患者轨迹的基本原理以及如何定义这一轨迹概念仍然是一项公共卫生挑战。我们的研究聚焦于基于疾病管理和护理的患者轨迹,同时也考虑相关管理的医疗经济学方面。我们用一个例子说明了这一概念:患者医院护理轨迹中发生的心肌梗死(MI)。通过前瞻性支付系统追踪患者随访情况。我们应用半自动文本挖掘过程对患者医疗轨迹研究进行全面综述。该综述调查了轨迹概念是如何定义、研究的以及它取得了什么成果。
我们在PubMed上进行搜索,以识别2000年1月1日至2015年10月31日期间在同行评审期刊上发表的报告。制定了14个搜索问题来指导我们的综述。基于语义方法进行半自动文本挖掘过程,以对患者医疗轨迹研究进行全面综述。使用文本挖掘技术从语义角度探索语料库,以回答非先验问题。对选定子集使用补充综述方法来回答先验问题。
在最初选定进行分析的33514篇出版物中,仅半自动提取并深入分析了70篇相关文章。肿瘤学因其已成熟的护理流程而特别普遍。对于轨迹主题,80%的文章分布在11个聚类中。这些聚类包含不同的语义信息,例如健康结果(29%)、护理过程(26%)以及行政和财务方面(16%)。
这篇文献综述突出了近期对轨迹概念的关注。该方法也逐渐被用于监测糖尿病、器官衰竭等慢性病的护理轨迹以及冠状动脉和心肌梗死护理轨迹,以改善护理并降低成本。患者轨迹无疑是为改善医疗监测而有待进一步探索的重要方法。