PDF(Pubmed)
Abstract：
UNASSIGNED: The Behaviour Change Intervention Ontology (BCIO) aims to improve the clarity, completeness and consistency of reporting within intervention descriptions and evidence synthesis. However, a recommended method for transparently annotating intervention evaluation reports using the BCIO does not currently exist. This study aimed to develop a data extraction template for annotating using the BCIO.
UNASSIGNED: The BCIO data extraction template was developed in four stages: i) scoping review of papers citing component ontologies within the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template.
UNASSIGNED: A prototype data extraction template using Microsoft Excel was developed based on BCIO annotations from 14 papers. The \'BCIO data extraction template v1\' was produced following piloting and revision, incorporating a facility for user feedback.
UNASSIGNED: This data extraction template provides a single, accessible resource to extract all necessary characteristics of behaviour change intervention scenarios. It can be used to annotate the presence of BCIO entities for evidence synthesis, including systematic reviews. In the future, we will update this template based on feedback from the community, additions of newly published ontologies within the BCIO, and revisions to existing ontologies.
Behaviour change interventions are often reported in an inconsistent and incomplete manner in study reports. This makes it difficult to build knowledge and predict outcomes. There is a need for a shared language to describe behaviour change interventions. This need was met using ‘ontologies’, which are classification systems that represent knowledge in a standardised way. The Behaviour Change Intervention Ontology (BCIO) has been developed to describe the different aspects of interventions in a way that is precise enough for computers as well as humans to ‘read’ study findings. The BCIO can be used to extract information from study reports for evidence synthesis, such as systematic literature reviews. To meet the need for a resource for annotating (coding) study reports according to the BCIO, we developed a data extraction template. The template was developed in four stages: i) reviewing existing papers using the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template. The resulting resource is an accessible, easy-to-use template to assist with specifying the content of published papers reporting interventions and their evaluation. The template will be updated based on user feedback and future revisions to the BCIO.
UNASSIGNED: The BCIO data extraction template was developed in four stages: i) scoping review of papers citing component ontologies within the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template.
UNASSIGNED: A prototype data extraction template using Microsoft Excel was developed based on BCIO annotations from 14 papers. The \'BCIO data extraction template v1\' was produced following piloting and revision, incorporating a facility for user feedback.
UNASSIGNED: This data extraction template provides a single, accessible resource to extract all necessary characteristics of behaviour change intervention scenarios. It can be used to annotate the presence of BCIO entities for evidence synthesis, including systematic reviews. In the future, we will update this template based on feedback from the community, additions of newly published ontologies within the BCIO, and revisions to existing ontologies.
Behaviour change interventions are often reported in an inconsistent and incomplete manner in study reports. This makes it difficult to build knowledge and predict outcomes. There is a need for a shared language to describe behaviour change interventions. This need was met using ‘ontologies’, which are classification systems that represent knowledge in a standardised way. The Behaviour Change Intervention Ontology (BCIO) has been developed to describe the different aspects of interventions in a way that is precise enough for computers as well as humans to ‘read’ study findings. The BCIO can be used to extract information from study reports for evidence synthesis, such as systematic literature reviews. To meet the need for a resource for annotating (coding) study reports according to the BCIO, we developed a data extraction template. The template was developed in four stages: i) reviewing existing papers using the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template. The resulting resource is an accessible, easy-to-use template to assist with specifying the content of published papers reporting interventions and their evaluation. The template will be updated based on user feedback and future revisions to the BCIO.
摘要：
■行为改变干预本体论（BCIO）旨在提高清晰度，干预描述和证据综合中报告的完整性和一致性。然而,目前不存在使用BCIO透明注释干预评估报告的推荐方法.本研究旨在开发使用BCIO进行注释的数据提取模板。
■BCIO数据提取模板的开发分为四个阶段：i）在BCIO内引用组件本体的论文范围审查，ii)开发模板草案，iii)试行和修订模板，和iv)模板的传播和维护。
■基于来自14篇论文的BCIO注释，开发了使用MicrosoftExcel的原型数据提取模板。“BCIO数据提取模板v1”是在试用和修订后生成的，整合了一个用于用户反馈的工具。
■此数据提取模板提供了单个，可访问的资源，以提取行为改变干预场景的所有必要特征。它可用于注释BCIO实体的存在以进行证据合成，包括系统评价。在未来,我们将根据社区的反馈更新此模板，在BCIO中添加了新发布的本体，以及对现有本体的修订。
在研究报告中，行为改变干预措施经常以不一致和不完整的方式报告。这使得很难建立知识和预测结果。需要一种共同的语言来描述行为改变干预措施。这种需求是用“本体论”来满足的，它们是以标准化方式表示知识的分类系统。行为改变干预本体论（BCIO）已经被开发出来，以一种足够精确的方式描述干预的不同方面，以便计算机和人类“阅读”研究结果。BCIO可用于从研究报告中提取信息以进行证据综合，如系统的文献综述。为了满足BCIO对注释（编码）研究报告的资源的需求，我们开发了一个数据提取模板。该模板分四个阶段开发：i)使用BCIO审查现有论文，ii)开发模板草案，iii)试行和修订模板，和iv)模板的传播和维护。生成的资源是一个可访问的，易于使用的模板，以帮助指定报告干预措施及其评估的已发表论文的内容。该模板将根据用户反馈和未来对BCIO的修订进行更新。
■BCIO数据提取模板的开发分为四个阶段：i）在BCIO内引用组件本体的论文范围审查，ii)开发模板草案，iii)试行和修订模板，和iv)模板的传播和维护。
■基于来自14篇论文的BCIO注释，开发了使用MicrosoftExcel的原型数据提取模板。“BCIO数据提取模板v1”是在试用和修订后生成的，整合了一个用于用户反馈的工具。
■此数据提取模板提供了单个，可访问的资源，以提取行为改变干预场景的所有必要特征。它可用于注释BCIO实体的存在以进行证据合成，包括系统评价。在未来,我们将根据社区的反馈更新此模板，在BCIO中添加了新发布的本体，以及对现有本体的修订。
在研究报告中，行为改变干预措施经常以不一致和不完整的方式报告。这使得很难建立知识和预测结果。需要一种共同的语言来描述行为改变干预措施。这种需求是用“本体论”来满足的，它们是以标准化方式表示知识的分类系统。行为改变干预本体论（BCIO）已经被开发出来，以一种足够精确的方式描述干预的不同方面，以便计算机和人类“阅读”研究结果。BCIO可用于从研究报告中提取信息以进行证据综合，如系统的文献综述。为了满足BCIO对注释（编码）研究报告的资源的需求，我们开发了一个数据提取模板。该模板分四个阶段开发：i)使用BCIO审查现有论文，ii)开发模板草案，iii)试行和修订模板，和iv)模板的传播和维护。生成的资源是一个可访问的，易于使用的模板，以帮助指定报告干预措施及其评估的已发表论文的内容。该模板将根据用户反馈和未来对BCIO的修订进行更新。
