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Modelling NHS England 111 demand for primary care services: a discrete event simulation
Richard Pilbery1, Madeleine Smith2, Jonathan Green3
1Research and Development, Yorkshire Ambulance Service NHS Trust, Wakefield, UK r.pilbery@nhs.net.
Modeling healthcare showed that improving primary care access could significantly cut emergency calls and visits. However, this requires nearly doubling primary care capacity, raising questions about practicality and cost-effectiveness.
Area of Science:
- Health Services Research
- Health Informatics
- Simulation Modeling
Background:
- The National Health Service (NHS) 111 service handles numerous calls, with many patients triaged to primary care.
- Timely access to primary care is crucial for efficient healthcare delivery and patient outcomes.
- Current system pressures may impact the ability to provide prompt primary care services.
Purpose of the Study:
- To model the current healthcare system for patients using NHS 111 and triaged to primary care.
- To simulate the impact of reconfiguring the system to ensure timely primary care contact.
- To assess potential changes in emergency service utilization and emergency department (ED) attendances.
Main Methods:
- Discrete event simulation was employed to model the healthcare system.
- The study utilized data from a single NHS 111 call centre in Yorkshire.
- Model validation involved comparing simulated data with real-world quarterly counts of service usage.
Main Results:
- The current system simulation predicted 39,283 primary care contacts, 2,042 emergency (999) calls, and 1,120 avoidable ED attendances.
- Reconfiguring for timely primary care access increased contacts by 196.1% but decreased 999 calls by 78.0% and ED attendances by 88.1%.
- Avoidable ED attendances decreased by a mean of 26 cases.
Conclusions:
- Ensuring timely primary care contact in the simulated model significantly reduced emergency calls and ED visits.
- The required increase in primary care provision (nearly doubling current capacity) may be impractical.
- Further research into cost-effectiveness and clinical/patient acceptability is warranted.
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