Modelling NHS England 111 demand for primary care services : a discrete event simulation
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ..
OBJECTIVES: This feasibility study aimed to model in silico the current healthcare system for patients triaged to a primary care disposition following a call to National Health Service (NHS) 111 and determine the effect of reconfiguring the healthcare system to ensure a timely primary care service contact.
DESIGN: Discrete event simulation.
SETTING: Single English NHS 111 call centre in Yorkshire.
PARTICIPANTS: Callers registered with a Bradford general practitioner who contacted the NHS 111 service in 2021 and were triaged to a primary care disposition.
PRIMARY AND SECONDARY OUTCOME MEASURES: Face validity of conceptual model. Comparison between real and simulated data for quarterly counts (and 95% CIs) for patient contact with emergency ambulance (999), 111, and primary and secondary care services. Mean difference and 95% CIs in healthcare system usage between simulations and difference in mean proportion of avoidable admissions for callers who presented to an emergency department (ED).
RESULTS: The simulation of the current system estimated that there would be 39 283 (95% CI 39 237 to 39 328) primary care contacts, 2042 (95% CI 2032 to 2051) 999 calls and 1120 (95% CI 1114 to 1127) avoidable ED attendances. Modifying the model to ensure a timely primary care response resulted in a mean percentage increase of 196.1% (95% CI 192.2% to 199.9%) in primary care contacts, and a mean percentage decrease of 78.0% (95% CI 69.8% to 86.2%) in 999 calls and 88.1% (95% CI 81.7% to 94.5%) in ED attendances. Avoidable ED attendances reduced by a mean of -26 (95% CI -35 to -17).
CONCLUSION: In this simulated study, ensuring timely contact with a primary care service would lead to a significant reduction in 999 and 111 calls, and ED attendances (although not avoidable ED attendance). However, this is likely to be impractical given the need to almost double current primary care service provision. Further economic and qualitative research is needed to determine whether this intervention would be cost-effective and acceptable to both patients and primary care clinicians.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
BMJ open - 13(2023), 9 vom: 06. Sept., Seite e076203 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Pilbery, Richard [VerfasserIn] |
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| Links: |
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| Themen: |
Health informatics |
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| Anmerkungen: |
Date Completed 08.09.2023 Date Revised 15.09.2023 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1136/bmjopen-2023-076203 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Modelling NHS England 111 demand for primary care services |b a discrete event simulation |
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| 500 | |a Date Completed 08.09.2023 | ||
| 500 | |a Date Revised 15.09.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. | ||
| 520 | |a OBJECTIVES: This feasibility study aimed to model in silico the current healthcare system for patients triaged to a primary care disposition following a call to National Health Service (NHS) 111 and determine the effect of reconfiguring the healthcare system to ensure a timely primary care service contact | ||
| 520 | |a DESIGN: Discrete event simulation | ||
| 520 | |a SETTING: Single English NHS 111 call centre in Yorkshire | ||
| 520 | |a PARTICIPANTS: Callers registered with a Bradford general practitioner who contacted the NHS 111 service in 2021 and were triaged to a primary care disposition | ||
| 520 | |a PRIMARY AND SECONDARY OUTCOME MEASURES: Face validity of conceptual model. Comparison between real and simulated data for quarterly counts (and 95% CIs) for patient contact with emergency ambulance (999), 111, and primary and secondary care services. Mean difference and 95% CIs in healthcare system usage between simulations and difference in mean proportion of avoidable admissions for callers who presented to an emergency department (ED) | ||
| 520 | |a RESULTS: The simulation of the current system estimated that there would be 39 283 (95% CI 39 237 to 39 328) primary care contacts, 2042 (95% CI 2032 to 2051) 999 calls and 1120 (95% CI 1114 to 1127) avoidable ED attendances. Modifying the model to ensure a timely primary care response resulted in a mean percentage increase of 196.1% (95% CI 192.2% to 199.9%) in primary care contacts, and a mean percentage decrease of 78.0% (95% CI 69.8% to 86.2%) in 999 calls and 88.1% (95% CI 81.7% to 94.5%) in ED attendances. Avoidable ED attendances reduced by a mean of -26 (95% CI -35 to -17) | ||
| 520 | |a CONCLUSION: In this simulated study, ensuring timely contact with a primary care service would lead to a significant reduction in 999 and 111 calls, and ED attendances (although not avoidable ED attendance). However, this is likely to be impractical given the need to almost double current primary care service provision. Further economic and qualitative research is needed to determine whether this intervention would be cost-effective and acceptable to both patients and primary care clinicians | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Health informatics | |
| 650 | 4 | |a Primary Care | |
| 650 | 4 | |a Telemedicine | |
| 700 | 1 | |a Smith, Madeleine |e verfasserin |4 aut | |
| 700 | 1 | |a Green, Jonathan |e verfasserin |4 aut | |
| 700 | 1 | |a Chalk, Daniel |e verfasserin |4 aut | |
| 700 | 1 | |a O'Keeffe, Colin A |e verfasserin |4 aut | |
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