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While people with severe mental illness are at high risk of chronic physical health conditions and premature mortality, little attention has been given to oral health disparities. Based on a large administrative dataset, this study allows an in-depth examination of disparities in dental health outcomes with respect to severe mental illness.
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Previous SCADR (Scottish Centre for Administrative Data Research) analysis has demonstrated that deaths at home increased by over a third during the Covid-19 pandemic in Scotland. This research explores whether people approaching the end of life were less likely to go to hospital.
This Data Insights explores what factors affect whether an individual cycles to work or not.
This data insight from ADR Northern Ireland investigates the link between people in Northern Ireland receiving psychotropic drugs, as an indicator of mental health conditions, and their likelihood of receiving a Covid-19 vaccination.
This Data Explained is intended as a starting point for researchers who are looking to use the WRRS data as part of an approved data linkage research project and is correct at the point of publication.
This Data Insight from ADR Wales reviewed the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW). Findings indicate there is a significant lag in clinical coding which people using PEDW should be aware should be aware of. This is important because it indicates that partial episode information is initially entered into PEDW and the records are subsequently updated with clinical coding information. Therefore caution must be exercised when using recent extracts of the dataset for analysis.
In this Data Insight, ADR Scotland explores how Covid-19 mortality rates vary by occupation for women and men in Scotland in the period between 1 March 2020 and 31 January 2021. Using a national novel linked data collection, we contrast preliminary results for Scotland with those from a similar linked data study for England.
This Data Insight explores the Flying Start programme as a geographical profiling tool to anonymously identify vulnerable families. It also explores data driven models as an alternative method of identifying individuals at risk of experiencing adverse events.
The findings of an evaluation of the Local Data Spaces pilot study, including key recommendations for further support for local authorities to access local-level data and analysis to inform decision making.
This report details the findings of a patient and public workshop held in partnership with Diabetes UK in April 2021 with people living with type 1 diabetes. The workshop explored participants' views towards the use of personal identifiers for linking diabetes and education data for research.
