The University of Southampton
University of Southampton Institutional Repository

Operational Research techniques applied throughout cancer care services: a review

Operational Research techniques applied throughout cancer care services: a review
Operational Research techniques applied throughout cancer care services: a review
Cancer is a disease affecting increasing numbers of people. In the UK, the proportion of people affected by cancer is projected to increase from 1 in 3 in 1992, to nearly 1 in 2 by 2020. Health services to tackle cancer can be grouped broadly into prevention, diagnosis, staging and treatment. We review examples of Operational Research (OR) papers addressing decisions encountered in each of these areas.

In conclusion we find many examples of OR research on screening strategies, as well as on treatment planning and scheduling. On the other hand, our search strategy uncovered comparatively few examples of OR models applied to reducing cancer risks, optimising diagnostic procedures and staging. Improvements to cancer care services have been made as a result of successful OR modelling. There is potential for closer working with clinicians to enable the impact of other OR studies to be of greater benefit to cancer sufferers.
2047-6965
52-73
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Smith, Honora K.
1eaef6a6-4b9c-4997-9163-137b956c06b5
Bijak, Katarzyna
5130b6b9-fbf1-44e8-9106-1dd69c6692a6
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Smith, Honora K.
1eaef6a6-4b9c-4997-9163-137b956c06b5
Bijak, Katarzyna
5130b6b9-fbf1-44e8-9106-1dd69c6692a6

Saville, Christina, Smith, Honora K. and Bijak, Katarzyna (2019) Operational Research techniques applied throughout cancer care services: a review. Health Systems, 8 (1), 52-73. (doi:10.1080/20476965.2017.1414741).

Record type: Review

Abstract

Cancer is a disease affecting increasing numbers of people. In the UK, the proportion of people affected by cancer is projected to increase from 1 in 3 in 1992, to nearly 1 in 2 by 2020. Health services to tackle cancer can be grouped broadly into prevention, diagnosis, staging and treatment. We review examples of Operational Research (OR) papers addressing decisions encountered in each of these areas.

In conclusion we find many examples of OR research on screening strategies, as well as on treatment planning and scheduling. On the other hand, our search strategy uncovered comparatively few examples of OR models applied to reducing cancer risks, optimising diagnostic procedures and staging. Improvements to cancer care services have been made as a result of successful OR modelling. There is potential for closer working with clinicians to enable the impact of other OR studies to be of greater benefit to cancer sufferers.

Text
AcceptedSavilleSmithBijak2017 - Accepted Manuscript
Download (262kB)

More information

Accepted/In Press date: 5 December 2017
e-pub ahead of print date: 17 January 2018
Published date: 2019

Identifiers

Local EPrints ID: 416484
URI: http://eprints.soton.ac.uk/id/eprint/416484
ISSN: 2047-6965
PURE UUID: b01ed0a6-70e0-4dcc-83e9-fb011c03e74a
ORCID for Christina Saville: ORCID iD orcid.org/0000-0001-7718-5689
ORCID for Honora K. Smith: ORCID iD orcid.org/0000-0002-4974-3011
ORCID for Katarzyna Bijak: ORCID iD orcid.org/0000-0003-1416-9045

Catalogue record

Date deposited: 20 Dec 2017 17:30
Last modified: 16 Mar 2024 06:02

Export record

Altmetrics

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×