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Understanding Pathways into Care Homes using Data (the UNPiCD study)

Understanding Pathways into Care Homes using Data (the UNPiCD study)

Project website
http://www.h2chresearch.org.uk/unpicd.htm
Project status
Ongoing
Contact
Jenni Burton
PI Name
Jenni Burton
Host institution
University of Glasgow
Institution web page
https://www.gla.ac.uk/schools/cardiovascularmetabolic/staff/jenniferburton/
Team members
Giorgio Ciminata, Claudia Geue, Ellen Lynch, Susan Shenkin, Terry Quinn
Funded by
Dunhill Medical Trust, the Scottish Informatics and Linkage Collaboration and the Chief Scientist Office.
Award Number
RPGF2002197

KEYWORDS / CATEGORIES

Countries
United Kingdom | United Kingdom (Scotland)
Topics
Care integration/ coordination | Information and data systems in LTC | Outcome measurement in LTC | Residential LTC services
Funding Type
Foundations | NGOs) | Private non-profit (charities | Public (including government)
Methods
Quantitative data analysis
Project Summary

This study uses the Scottish Care Home Census (SCHC) data linked to hospital admissions, psychiatry, prescribing and long-term conditions data to provide the first large-scale analysis of pathways into care homes in Scotland. This work will compare those moving-in after a hospital admission to those moving-in directly from the community considering predictors, outcomes, costs and exploring geographical variation.

Outputs

We have published three outputs from our work, all available open access from links below:
(1) Understanding pathways into care homes using data – comparing the characteristics of those moving-in to care homes from hospital and from the community – https://doi.org/10.1093/ageing/afac304
(2) Mortality in long-term care residents: retrospective national cohort study – doi: 10.1136/spcare-2024-005163
(3) Understanding Pathways into Care-homes using Data (UnPiCD study): a two-part model to estimate inpatient and care-home costs using national linked health and social care data – https://doi.org/10.1186/s12913-024-10675-z