Data linkage for early intervention in the UK: Parental social license and social divisions
Data linkage for early intervention in the UK: Parental social license and social divisions
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DOI：
10.1017/dap.2021.34
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发表时间：
2021-01-01
期刊：
影响因子：
--
通讯作者：
Gorin, Sarah
中科院分区：
文献类型：
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作者：
Edwards, Rosalind;Gillies, Val;Gorin, Sarah
政府越来越多地推动将公共记录和预测分析电子连接起来，以确定家庭进行预防性早期干预。我们使用社会许可证的概念来解决社会合法性，协议和信任的问题，在数据链接和分析的依赖儿童的父母，谁是在英国的早期干预措施的重点。我们回顾了数据导向的家庭政策和早期干预业务服务实践。我们利用基于概率的家长小组调查数据的共识基线分析，表明知情同意数据链接和使用对所有家长都很重要，但存在知识，协议和信任的社会分工。有更多的社会许可证的数据链接服务的父母在较高的职业，资格，和收入群体，比黑人父母，单亲，年轻的父母，和父母在较大的家庭。这些被边缘化的父母群体，作为一个整体，更有可能成为早期干预识别的重点。我们认为，政府提高认识的数据链接的优点可能会加强现有的社会许可证之间的单亲父母，而运行的风险，进一步脱离弱势群体。尤其是在不平等和预测不准确被编码到早期干预数据收集，联系和预测实践中，对一个有凝聚力和平等的社会产生影响。
Electronic linking of public records and predictive analytics to identify families for preventive early intervention increasingly is promoted by governments. We use the concept of social license to address questions of social legitimacy, agreement, and trust in data linkage and analytics for parents of dependent children, who are the focus of early intervention initiatives in the UK. We review data-steered family policy and early intervention operational service practices. We draw on a consensus baseline analysis of data from a probability-based panel survey of parents, to show that informed consent to data linkage and use is important to all parents, but there are social divisions of knowledge, agreement, and trust. There is more social license for data linkage by services among parents in higher occupation, qualification, and income groups, than among Black parents, lone parents, younger parents, and parents in larger households. These marginalized groups of parents, collectively, are more likely to be the focus of identification for early intervention. We argue that government awareness-raising exercises about the merits of data linkage are likely to bolster existing social license among advantaged parents while running the risk of further disengagement among disadvantaged groups. This is especially where inequalities and forecasting inaccuracies are encoded into early intervention data gathering, linking, and predictive practices, with consequences for a cohesive and equal society.