Adolescent and Young Adult Type 1 Diabetes Audit (AYA), 2017-21
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Description
2017-2021 data from the Adolescent and Young Adult Type 1 Diabetes Audit (AYA), which links adult and paediatric diabetes audit datasets to monitor care provision during the transition from paediatric to adult clinical services. The dataset, published by the Government Digital Service under a CC-BY-4.0 license, covers England-level information on patient demographics, care processes, treatment targets, diabetic ketoacidosis admissions, and insulin pump usage.
Use Cases
Analyzing trends in diabetic ketoacidosis hospital admissions based on the DKA Hospital Inpatient Admissions data.
Evaluating insulin pump adoption rates among young people based on the insulin pump usage data.
Assessing disparities in care processes and treatment target achievement based on patient demographics.
Studying the quality of clinical care provision during the transition from paediatric to adult services.
Strengths
Data covers a 4-year period from January 2017 to March 2021, providing a longitudinal view.
Links two established national audits (adult NDA and paediatric NPDA) for a continuous patient journey perspective.
Explicitly covers five key audit areas: demographics, care processes, treatment targets, DKA admissions, and insulin pump usage.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale modeling.
Data is aggregated at the England level only, limiting granular geographic analysis.
Provenance
Source
Government Digital Service, linking the adult National Diabetes Audit (NDA) and the paediatric National Paediatric Diabetes Audit (NPDA).
Collection Method
Clinical audit data collected as part of the National Clinical Audit and Patient Outcomes Programme.
Time Range
01 January 2017 to 31 March 2021
Freshness
The national report was published on 16 June 2022, covering data up to 31 March 2021.
Geography
England
The description advises that data should not be looked at in isolation when assessing standards of care.