Suppr超能文献

解释英格兰 2013-2016 年卫生服务向儿童社会关怀转介的局部差异:一项使用“需要帮助的儿童”行政数据的研究。

Explaining local variation in referrals from health services to children's social care in England 2013-16: a study using 'children in need' administrative data.

机构信息

UCL Anthropology, University College London, 14 Taviton Street, London, UK.

Rees Centre for Research in Fostering and Education, Department of Education, University of Oxford, 15 Norham Gardens, Oxford, UK.

出版信息

J Public Health (Oxf). 2021 Apr 12;43(1):180-188. doi: 10.1093/pubmed/fdz050.

Abstract

BACKGROUND

Referral rates from Health service to Children's Social Care (CSC) services vary across England. In 2019, the National Audit Office (re)iterated the urgent need to understand the drivers of such variation.

METHODS

Using administrative data (Children in Need Census, 2013-16), we calculated annual referral rates from Health to CSC services (Health referral rate) by Local Authority (LA) areas. We used multilevel linear regression to investigate the relationship between age-adjusted Health referral rates and local need (demand factors) and local practice/systems (supply factors). We present a tool to compare unadjusted and adjusted LA rates.

RESULTS

There was high LA variation in Health referral rates, particularly for infants (mean = 29.0/1000 children < 1 y; range = 6.5-101.8; sd = 12.4). LA variation persisted after age-adjustment. Child poverty (local need) and overall referral rate (local practice/systems) explained 60% of variation in age-adjusted Health referral rates. Overall referral rate was the strongest predictor. Adjusted referral rates were substantially different from unadjusted rates. After adjustment, 57.7% of LAs had higher/lower Health referral rates than expected.

CONCLUSIONS

While higher levels of local need are associated with higher Health referrals, some areas have high Health referrals irrespective of local need. Our tool demonstrates the benefits of using adjusted rates to compare LAs.

摘要

背景

英格兰各地向儿童社会关怀服务(CSC)转介的比率各不相同。2019 年,国家审计署(再次)强调迫切需要了解这种差异的驱动因素。

方法

使用行政数据(2013-16 年需要儿童普查),我们按地方当局(LA)区域计算了向 CSC 服务的年度健康转介率(健康转介率)。我们使用多水平线性回归来调查调整后年龄的健康转介率与当地需求(需求因素)和当地实践/系统(供应因素)之间的关系。我们提供了一种工具来比较未调整和调整后的 LA 比率。

结果

健康转介率在 LA 之间存在很大差异,特别是对于婴儿(平均 = 29.0/1000 名<1 岁儿童;范围= 6.5-101.8;标准差= 12.4)。调整年龄后,LA 差异仍然存在。儿童贫困(当地需求)和总体转介率(当地实践/系统)解释了调整后健康转介率变异的 60%。总体转介率是最强的预测因素。调整后的转介率与未调整的转介率有很大差异。调整后,57.7%的 LA 地区的健康转介率高于/低于预期。

结论

虽然当地需求水平较高与较高的健康转介率相关,但有些地区尽管当地需求较高,但仍有较高的健康转介率。我们的工具展示了使用调整后的比率来比较 LA 的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e9d/8042370/9cd778e415f0/fdz050f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验