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Modelling for the proposed roll-out of the ‘111’ service in Wales: a case study

Tuson, Mark, England, Tracey, Behrens, Doris, Bowen, Richard, Edwards, Dorothy, Frankish, John and Kay, Jude 2018. Modelling for the proposed roll-out of the ‘111’ service in Wales: a case study. Health Care Management Science 21 (2) , pp. 159-176. 10.1007/s10729-017-9405-7

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NHS Direct Wales provides a single point of access where members of the public can telephone and seek medical support and/or advice. The service is provided for all the Health Boards in Wales by a single virtual call centre run from a main location in Swansea with 2 satellite locations. Patients in Wales can also access a local General Practitioner service during the evenings and at weekends, by phoning their Out of Hours service. The introduction of a ‘111’ service is intended to combine these two operations on a pan-Wales basis using the existing NHS Direct Wales call centre and staff, with the existing Health Board Out of Hours ‘hubs’. The merger of the two services is intended to improve the overall performance of both services. This paper focuses on the planned introduction of ‘111’ in Cwm Taf and Hywel Dda University Health Boards. The purpose of the case study was to support the merger of the two telephony systems from both an organisational and service delivery perspective, by developing a Discrete Event Simulation to model the impact on service levels and staffing. In particular, to examine the percentage increase / decrease in the staffing requirements needed under partial or full integration of the two services. The results from the scenario analysis highlight that extra staffing resources would be required in certain groups (nurses and call handlers) whilst savings could be achieved in others, provided that there wasn’t an increase in call volume after implementation of the new service.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Uncontrolled Keywords: Out of hours Call handling Workforce planning ‘111’ Simulation modelling Resource allocation
Publisher: Springer Verlag (Germany)
ISSN: 1386-9620
Date of First Compliant Deposit: 8 June 2017
Date of Acceptance: 5 May 2017
Last Modified: 23 May 2023 14:29

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