Schenk Paulina M, Hastings Janna, Santilli Micaela, Potts Jennifer, Kennett Jaycee, Friedrich Claire, Michie Susan
Centre for Behaviour Change, University College London, London, England, UK.
Institute for Implementation Science in Health Care, University of Zurich, Zürich, Switzerland.
Wellcome Open Res. 2024 Nov 14;9:40. doi: 10.12688/wellcomeopenres.20701.2. eCollection 2024.
Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis. An ontology (a classification and specification framework) for the domain of mental health is being created to organise and synthesise evidence within these reviews and present them in a structured online data repository.
This study aims to develop an ontology of mental health that includes entities with clear labels and definitions to describe and synthesise evidence about mental health, focusing on anxiety, depression and psychosis.
We will develop and apply the GALENOS Mental Health Ontology through eight steps: (1) defining the ontology's scope; (2) identifying, labelling and defining the ontology's entities for the GALENOS living systematic reviews; (3) structuring the ontology's upper level (4) refining entities via iterative stakeholder consultations regarding the ontology's clarity and scope; (5) formally specifying the relationships between entities in the Mental Health Ontology; (6) making the ontology machine-readable and available online; (7) integrating the ontology into the data repository; and (8) exploring the ontology-structured repository's usability.
The Mental Health Ontology supports the formal representation of complex upper-level entities within mental health and their relationships. It will enable more explicit and precise communication and evidence synthesis about anxiety, depression and psychosis across the GALENOS Project's living systematic reviews. By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, linking, retrieving and synthesising evidence.
关于焦虑症、抑郁症和精神病及其治疗方法的研究报道往往使用不一致的术语,而且整体研究的不同方面可能是在各自独立的领域中进行的。这给证据综合带来了挑战,并减缓了预防和治疗这些疾病的更有效干预措施的开发进程。为应对这些挑战,全球焦虑症、抑郁症和精神病生活证据联盟(GALENOS)项目正在开展一系列关于焦虑症、抑郁症和精神病的实时系统评价。正在创建一个心理健康领域的本体(一种分类和规范框架),以便在这些评价中组织和综合证据,并将其呈现于一个结构化的在线数据存储库中。
本研究旨在开发一种心理健康本体,其中包括带有清晰标签和定义的实体,以描述和综合关于心理健康的证据,重点关注焦虑症、抑郁症和精神病。
我们将通过八个步骤来开发和应用GALENOS心理健康本体:(1)定义本体的范围;(2)为GALENOS实时系统评价识别、标记和定义本体的实体;(3)构建本体的上层结构;(4)通过就本体的清晰度和范围进行反复的利益相关者咨询来完善实体;(5)正式规定心理健康本体中实体之间的关系;(6)使本体能够被机器读取并在线可用;(7)将本体集成到数据存储库中;(8)探索本体结构化存储库的可用性。
心理健康本体支持对心理健康领域内复杂的上层实体及其关系进行形式化表示。它将使GALENOS项目的实时系统评价能够就焦虑症、抑郁症和精神病进行更明确和精确的交流与证据综合。由于本体是计算机可读的,它还可以被用于支持自动分类、链接、检索和综合证据的算法中。