A facility location model for analysis of current and future demand for sexual health services
A facility location model for analysis of current and future demand for sexual health services
In this paper we address the clinic location selection problem for a fully integrated Sexual Health Service across Hampshire. The service provides outpatient services for Genito-Urinary Medicine, contraceptive and reproductive health, sexual health promotion and a sexual assault referral centre. We aim to assist the planning of sexual health service provision in Hampshire by conducting a location analysis using both current and predicted patient need. We identify the number of clinic locations required and their optimal geographic location that minimise patient travel time. To maximise the chances of uptake of results we validate the developed simple algorithm with an exact method as well as three well-known, but complex meta-heuristics. The analysis was conducted using car travel and public transport times. Two scenarios were considered: current clinic locations only; and anywhere within Hampshire. The results show that the clinic locations could be reduced from 28 to 20 and still keep 90% of all patient journeys by public transport (e.g. by bus or train) to a clinic within 30 minutes. The number of clinics could be further reduced to 8 if the travel time is based on car travel times within 15 minutes. Results from our simple solution method compared favourably to the exact solution as well as the complex meta-heuristics.
Meskarian, Rudabeh
932d1dac-784b-4f24-bdda-5ea34a16d8a2
Penn, Marion L.
44e30bd0-fd1a-41b9-b7ed-4a46c656ef8a
Williams, Sarah
f98f47db-b1d6-42c2-b0eb-7c0cb9a981d0
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Meskarian, Rudabeh
932d1dac-784b-4f24-bdda-5ea34a16d8a2
Penn, Marion L.
44e30bd0-fd1a-41b9-b7ed-4a46c656ef8a
Williams, Sarah
f98f47db-b1d6-42c2-b0eb-7c0cb9a981d0
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Meskarian, Rudabeh, Penn, Marion L., Williams, Sarah and Monks, Thomas
(2017)
A facility location model for analysis of current and future demand for sexual health services.
PLoS ONE.
(doi:10.1371/journal.pone.0183942).
Abstract
In this paper we address the clinic location selection problem for a fully integrated Sexual Health Service across Hampshire. The service provides outpatient services for Genito-Urinary Medicine, contraceptive and reproductive health, sexual health promotion and a sexual assault referral centre. We aim to assist the planning of sexual health service provision in Hampshire by conducting a location analysis using both current and predicted patient need. We identify the number of clinic locations required and their optimal geographic location that minimise patient travel time. To maximise the chances of uptake of results we validate the developed simple algorithm with an exact method as well as three well-known, but complex meta-heuristics. The analysis was conducted using car travel and public transport times. Two scenarios were considered: current clinic locations only; and anywhere within Hampshire. The results show that the clinic locations could be reduced from 28 to 20 and still keep 90% of all patient journeys by public transport (e.g. by bus or train) to a clinic within 30 minutes. The number of clinics could be further reduced to 8 if the travel time is based on car travel times within 15 minutes. Results from our simple solution method compared favourably to the exact solution as well as the complex meta-heuristics.
Text
A facility location model for analysis of current and future demand for sexual health services
- Accepted Manuscript
Text
journal.pone.0183942
- Version of Record
Text
S5_Supporting information
Restricted to Repository staff only
Request a copy
Show all 13 downloads.
More information
Accepted/In Press date: 16 August 2017
e-pub ahead of print date: 29 August 2017
Identifiers
Local EPrints ID: 415224
URI: http://eprints.soton.ac.uk/id/eprint/415224
ISSN: 1932-6203
PURE UUID: 8b8ec224-5a83-44d5-adbd-e1ec23255134
Catalogue record
Date deposited: 02 Nov 2017 17:30
Last modified: 16 Mar 2024 05:39
Export record
Altmetrics
Contributors
Author:
Rudabeh Meskarian
Author:
Marion L. Penn
Author:
Sarah Williams
Author:
Thomas Monks
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics