Using a linked dataset to understand the health and wider determinants of pupils with special needs in a London borough
PHE ePoster Library. Cetateanu A. Sep 12, 2019; 274475; 37
Dr. Andreea Cetateanu
Dr. Andreea Cetateanu
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Abstract
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Abstract Introduction
The nationally leading Whole Systems Data Project (WSDP) aims to establish an integrated dataset across the London Borough of Tower Hamlets by linking a range of council data (such as School Pupil Census, housing, social care) with health data (primary and secondary care) and socio-demographic information at a person and household level. Using the WSDP, this poster aims to provide a more holistic understanding of the characteristics and needs of pupils with Special Needs and Disabilities (SEND), as a borough wide evaluation has identified this to be high priority area, and very little is known about this vulnerable cohort. MethodsIndividual level counts will be aggregated to Lower Super Output Area and school level, along with a full range of clustered variables. This will allow for multi-regression analysis in order to investigate the links between health, living conditions and other wider determinants for the SEND cohorts vs. their counterparts.
Results
The WSDP contains data for 38,348 pupils, of which 17% have been assessed as requiring some form of SEND provision. Preliminary results show that pupils with SEND are significantly more likely to be male than female, and to live in social housing.
Conclusions
These results will showcase the unique advantage of a linked dataset that triangulates data across the system. This will allow us to get a more in-depth understanding which was not previously possible, such as being able to identify the housing and family characteristics of children with SEND, or the interactions that they have with healthcare services. External funding details
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