Published September 12, 2023
| Version v2
Report
Open
Exploring Regional Linked Data Capability for Research Phase 2: Exploring Variation in Acute Hospital Admissions
Creators
- Suzanne Mason1
- Richard Jacques1
- Rebecca Simpson1
- Jen Lewis1
- Susan Croft1
- Madina Hasan1
- Simone Croft1
- Ross McMurray1
- Ric Campbell1
- Nicholas Mills2
- Michael McDermott2
- Erik Mayer3
- Ben Glampson4
- Catalina Carenzo4
- Sophie Williams5
- Charles Gutteridge5
- Christopher Kipps6
- Rachel Chappell7
- Matt Stammers7
- Rachel Denholm8
- Amy Dillon8
- Jo Knight9
- Vishnu Chandrabalan10
- Suzy Gallier11
- Rima Doal11
- Lara Edwards12
- Nada Karrar12
- Ashcroft, Quinta13
- 1. University of Sheffield
- 2. University of Edinburgh
- 3. Imperial College Healthcare NHS Trust
- 4. mperial College Healthcare NHS Trust
- 5. Barts Health NHS Trust
- 6. University Hospitals Southampton NHS Trust
- 7. niversity Hospitals Southampton NHS Trust
- 8. University of Bristol
- 9. Lancaster University
- 10. Lancashire Teaching Hospitals NHS Trust
- 11. PIONEER Health Data Research Hub
- 12. Health Data Research UK
-
13.
Lancashire Teaching Hospitals NHS Foundation Trust
Description
- No existing national data feeds provide detailed and near-real time information on hospital admissions across the UK. Currently available national data feeds are dated, do not include people still in hospital, and lack detailed coding which can help differentiate between different conditions or diagnoses. Enabling a detailed, near-real time hospital admissions data feed of regional level data would provide vital data for priority research and health and care planning.
- This collaborative project builds on previous work (Phase 1) led by the Health Data Research UK (HDR UK) Regional Linked Health Data for Research Programme which aims to conduct ‘driver’ projects to explore data capability, data access and feasibility of enabling near real time hospital admissions linked data feeds at regional level.
- Phase 2 included 4 additional regions and implemented 2 driver use cases – this report summarises the driver use case led by the University of Sheffield which explored variation in acute hospital admissions across the regions.
- Use Case Insights: This driver use case identified that patients in the Emergency Care Dataset (ECDS) and Admitted Patient Care (APC) datasets were older in the Ambulatory Care Sensitive Conditions (ACSCs) groups on average than the non-ACSC groups. Deprivation was a key factor observed equally in ACSC and non-ACSC groups, and there was a high proportion of patients attending ED with ACSC. High variation existed between hospitals in terms of attendance for ACSC. Further research is needed to establish clearer criteria for potentially avoidable admissions and same day emergency care-eligible patients.
- Data Capability and Access Insights – Significant variance in data capability and access resulted in delays with clear opportunities for further harmonisation to promote more effective collaboration across multi regional data infrastructure. The report outlines key recommendations to promote harmonised and standarised collaborative working across multi regional data infrastructure.
Files
HDRUK Regional Linked Health Data Group_AA Use Case_finalv2.pdf
Files
(1.1 MB)
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Additional details
Funding
- Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS) MC_PC_20058
- UK Research and Innovation