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Developing a nationwide registry of UK veterans seeking help from sector charities—a machine learning approach to stratification

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Publicado en:European Journal of Public Health vol. 35, no. 1 (Feb 2025), p. 5
Autor principal: Serra, Giuseppe
Otros Autores: Tomietto, Marco, McGill, Andrew, Kiernan, Matthew
Publicado:
Oxford University Press
Materias:
United Kingdom > UK
Homelessness
Datasets
Help seeking behavior
Charities
Needs
Health services
Hash based algorithms
Veterans
Homeless people
Machine learning
Well being
Social interest
Learning algorithms
Use statistics
Cluster analysis
Data
Subgroups
Clustering
Privacy
Vector quantization
Military service
Social well being
Stratification
Resource allocation
Prevention
Social
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Resumen:The assistance to veterans in the UK is provided by the National Health Service and over 1800 military charities. These charities count services using different definitions and reporting systems, so to date a national registry of service usage does not exist. The aim of the Map Of Need Aggregation ResearCH study is to build a standardized registry of service usage data for the military charity sector. Data are completely anonymized by adopting a Secure Hashing Algorithm. A unique anonymous identifier is generated allowing both privacy protection and avoiding double counts. Data are standardized and linked with an automated process to create an aggregated dataset. The dataset describes the population, using both a priori and machine learning approaches. To date a total of 42 509 veterans with 128 423 needs are included. The mean age was 60.1 years, and 90% were male. 65% were receiving other benefits, 5% were homeless and 1% were in prison. 65% of the needs recorded concerned social wellbeing. 40% of veterans received assistance in at least two different years. The k-means clustering approach returned 4 subgroups of use that were identical to those created using a priori knowledge. The dataset is the most comprehensive source of veteran charity usage data in the UK to date. Service usage is generally homogenous among subgroups, but some differences were highlighted indicating that younger, non-officer veterans may be more at risk of presenting with more complex needs. These first useful insights can help allocate resources to build an effective preventive strategy for more complex cases.
ISSN:1101-1262
1464-360X
DOI:10.1093/eurpub/ckae141
Fuente:ABI/INFORM Global