Avoiding Attendances and Admissions

Avoiding Attendances and Admissions is a theme within the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Yorkshire and Humber.

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Background

This is the only CLAHRC theme in the country focused on addressing the challenges facing the emergency and urgent care system.

The theme has collected, linked and analysed routine patient data from the ambulance service, NHS 111 and emergency departments to record the patient journey from ‘time of call to discharge from hospital’.

Analyses of this data will identify key patients and parts of the system to target interventions to improve system performance and patient care.


Aims

  • Establish close collaboration with stakeholders in emergency and urgent care in Yorkshire and Humber to develop high-quality evidence to answer key local NHS and user priorities
  • Use large routine NHS datasets to Identify key patient groups amenable to care outside of hospital
  • Evaluate interventions to reduce avoidable attendances and unplanned admissions for patients with long-term conditions.

Progress

  • Completion of the region’s first emergency and urgent care routine linked dataset linking Yorkshire Ambulance Service call data (999 and NHS 111) and hospital data from all 13 acute NHS trusts in Yorkshire and Humber
  • Using large Hospital Episode Statistics (HES) Data to define and identify non-urgent attendees to the emergency department (ED)
  • Early evaluation of interventions to improve care (Senior Doctor Triage and GP collocation)
  • Further separate analyses are underway to identify alternative care pathways for older people, people of working age and patients with mental health problems.

Timescales

  • March 2018: Completion of analysis of large routine datasets.
  • December 2018: Completion of project evidence reports.

Study contacts

Colin O’Keeffe

Suzanne Mason


Downloads

CLAHRC BMA Final Report (PDF, 7.2MB)

AAA Newsletter Issue 1 (PDF, 669KB)

AAA Newsletter Issue 2 (PDF, 573KB)

AAA Newsletter Issue 3 (PDF, 596KB)

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