Barriers and Solutions to Linking and Using Health and Social Care Data in Scotland
Barriers and Solutions to Linking and Using Health and Social Care Data in Scotland
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DOI：
10.1093/bjsw/bcv047
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发表时间：
2015-07-01
影响因子：
1.8
通讯作者：
Witham, Miles D.
中科院分区：
文献类型：
--
作者：
Atherton, Iain M.;Lynch, Ellen;Witham, Miles D.
卫生和社会保健的一体化将需要综合数据来推动服务评估、设计、联合工作和研究。我们描述了在这一领域的主要利益相关者的苏格兰会议的结果。关联数据的潜在用途包括了解服务对象人口、绘制依赖轨迹图、查明风险群体、预测未来提供服务所需的能力，以及开展研究以更好地了解健康、社会环境和护理之间的相互作用。阻碍取得进展的障碍包括缺乏分析能力、对数据来源和质量的不完全了解、系统间不兼容以及数据共享的同意问题。潜在的解决办法包括更好地了解社会保健数据的内容、质量和来源;投资于分析能力;改善保健和社会保健数据提供者和用户之间的沟通;为系统开发者和采购者提供明确的指导;以及加强与公众的接触。我们计划建立一个网站，用于苏格兰各地的卫生和社会保健数据联系、一线工作人员和研究人员的教育资源，以及培训和信息传播的进一步活动。我们认为，这些过程为其他有兴趣将卫生和社会保健数据联系起来的国家以及一般的跨部门数据联系举措提供了经验教训。
Integration of health and social care will require integrated data to drive service evaluation, design, joint working and research. We describe the results of a Scottish meeting of key stakeholders in this area. Potential uses for linked data included understanding client populations, mapping trajectories of dependency, identifying at risk groups, predicting required capacity for future service provision, and research to better understand the reciprocal interactions between health, social circumstances and care. Barriers to progress included lack of analytical capacity, incomplete understanding of data provenance and quality, intersystem incompatibility and issues of consent for data sharing. Potential solutions included better understanding the content, quality and provenance of social care data; investment in analytical capacity; improving communication between data providers and users in health and social care; clear guidance to systems developers and procurers; and enhanced engagement with the public. We plan a website for communication across Scotland on health and social care data linkage, educational resources for front line staff and researchers, plus further events for training and information dissemination. We believe that these processes hold lessons for other countries with an interest in linking health and social care data, as well as for cross-sector data linkage initiatives in general.