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Estimating the social care needs of looked after children and those at risk of being in care: Utilising anonymised linked data (Escalate)

估计被照顾的儿童和有被照顾风险的儿童的社会照顾需求：利用匿名链接数据（升级）

基本信息

批准号：
2097815
负责人：
金额：
--
依托单位：
Swansea University
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2097815
关键词：
Estimating social care needs looked

项目摘要

Looked after children (LAC) have poorer social and health outcomes compared to those not in care. They underperform in educational assessments, are more likely to be unemployed, have higher rates of teenage pregnancies, illicit drug and alcohol abuse, self-harm and other mental health problems. The number of LAC continues to increase, as does the burden and costs placed on social and health care systems. Providing more targeted care whilst in the care system and designing appropriate care packages for leaving care have the potential to improve the long term social and health outcomes of LAC. The aim of this project is to increase knowledge and understanding of the needs of LAC and those at risk of being in care by exploring electronic anonymised data.The key research questions are:Does being looked after result in poorer health, educational and social care outcomes?Can we determine when LAC may be most at risk?We will use mixed methods (qualitative interviews and anonymised linked data) to provide a picture of the needs of LAC and when these needs occur. We will initially work with policy, social care and NHS partners to identify what are regarded as poor outcomes in LAC and the potential risk factors for being 'looked after'. We will then use the Welsh Electronic Cohort for Children (WECC) to examine social, health and educational outcomes of LAC and compare these to those matched controls who are not looked after and to try and identify periods of significant need. These outcomes will include: formal educational assessments; school absenteeism; Special Educational Needs status; frequency of school and residential moves; health outcomes (inpatient admissions, avoidable hospital admissions, length of inpatient stays); drug and substance misuse; mental health problems (self-harm, suicide, attempted suicide, anxiety, depression); teenage pregnancy rates; and contraceptive use.It is envisaged that by identifying periods of risk and risk factors may make it possible to better target care, inform the design of appropriate care packages and identify key social priority areas.

与那些没有得到照顾的儿童相比，得到照顾的儿童（LAC）的社会和健康状况较差。他们在教育评估中表现不佳，更有可能失业，少女怀孕、滥用非法药物和酒精、自残和其他心理健康问题的发生率更高。拉丁美洲和加勒比地区的人数继续增加，社会和保健系统的负担和费用也在增加。在护理系统中提供更有针对性的护理，并为离开护理的人设计适当的护理包，有可能改善拉丁美洲和加勒比地区的长期社会和健康成果。该项目的目的是通过探索电子匿名数据，增加对LAC和那些处于护理风险中的人的需求的认识和理解。关键的研究问题是：被照顾是否会导致更差的健康，教育和社会护理结果？我们能确定什么时候LAC可能最危险吗？我们将使用混合方法（定性访谈和匿名关联数据）来提供LAC需求以及这些需求发生时的情况。我们最初将与政策，社会护理和NHS合作伙伴合作，以确定哪些被视为LAC的不良结果以及被“照顾”的潜在风险因素。然后，我们将使用威尔士儿童电子队列（WECC）来检查LAC的社会，健康和教育成果，并将其与那些没有得到照顾的匹配对照组进行比较，并尝试确定显着需求的时期。这些成果将包括：正规教育评估;旷课;特殊教育需求状况;学校和住宅搬迁的频率;健康结果（住院人数、可避免的住院人数、住院时间）;药物和物质滥用;精神健康问题（自残、自杀、自杀未遂、焦虑、抑郁）;少女怀孕率;据设想，通过确定风险期和风险因素，可以更好地提供有针对性的护理，为设计适当的一揽子护理提供信息，并确定关键的社会优先领域。