An Optimization Model for the Tradeoff Between Efficiency and Equity for Mobile Stroke Unit Placement
(2021) 9th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2021 In Smart Innovation, Systems and Technologies 242. p.183-193- Abstract
A mobile stroke unit (MSU) is an ambulance, where stroke patients can be diagnosed and treated. Recently, placement of MSUs has been studied focusing on either maximum population coverage or equal service for all patients, termed efficiency and equity, respectively. In this study, we propose an unconstrained optimization model for the placement of MSUs, designed to introduce a tradeoff between efficiency and equity. The tradeoff is based on the concepts of weighted average time to treatment and the time difference between the expected time to treatment for different geographical areas. We conduct a case-study for Sweden’s Southern Health care Region (SHR), generating three scenarios (MSU1, MSU2, and MSU3) including 1, 2, and 3 MSUs,... (More)
A mobile stroke unit (MSU) is an ambulance, where stroke patients can be diagnosed and treated. Recently, placement of MSUs has been studied focusing on either maximum population coverage or equal service for all patients, termed efficiency and equity, respectively. In this study, we propose an unconstrained optimization model for the placement of MSUs, designed to introduce a tradeoff between efficiency and equity. The tradeoff is based on the concepts of weighted average time to treatment and the time difference between the expected time to treatment for different geographical areas. We conduct a case-study for Sweden’s Southern Health care Region (SHR), generating three scenarios (MSU1, MSU2, and MSU3) including 1, 2, and 3 MSUs, respectively. We show that our proposed optimization model can tune the tradeoff between the efficiency and equity perspectives for the MSU(s) allocation. This enables a high level of equal service for most inhabitants, as well as reducing the time to treatment for most inhabitants of a geographic region. In particular, placing three MSUs in the SHR with the proposed tradeoff, the share of inhabitants who are expected to receive treatment within an hour potentially improved by about a factor of 14 in our model.
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- author
- Mahdiraji, Saeid Amouzad ; Holmgren, Johan ; Mihailescu, Radu Casian and Petersson, Jesper LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Driving time estimation, Efficient coverage, Equal treatment, Mobile stroke unit, Time to treatment, Tradeoff function
- host publication
- Innovation in Medicine and Healthcare - Proceedings of 9th KES-InMed 2021
- series title
- Smart Innovation, Systems and Technologies
- editor
- Chen, Yen-Wei ; Tanaka, Satoshi ; Howlett, Robert J. and Jain, Lakhmi C.
- volume
- 242
- pages
- 11 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- 9th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2021
- conference location
- Virtual, Online
- conference dates
- 2021-06-14 - 2021-06-16
- external identifiers
-
- scopus:85111101237
- ISSN
- 2190-3018
- 2190-3026
- ISBN
- 9789811630125
- 978-981-16-3013-2
- DOI
- 10.1007/978-981-16-3013-2_15
- language
- English
- LU publication?
- yes
- id
- 5b967565-e736-4cb2-8a82-f2c08d519e70
- date added to LUP
- 2021-12-10 11:05:44
- date last changed
- 2024-04-06 15:02:29
@inproceedings{5b967565-e736-4cb2-8a82-f2c08d519e70, abstract = {{<p>A mobile stroke unit (MSU) is an ambulance, where stroke patients can be diagnosed and treated. Recently, placement of MSUs has been studied focusing on either maximum population coverage or equal service for all patients, termed efficiency and equity, respectively. In this study, we propose an unconstrained optimization model for the placement of MSUs, designed to introduce a tradeoff between efficiency and equity. The tradeoff is based on the concepts of weighted average time to treatment and the time difference between the expected time to treatment for different geographical areas. We conduct a case-study for Sweden’s Southern Health care Region (SHR), generating three scenarios (MSU1, MSU2, and MSU3) including 1, 2, and 3 MSUs, respectively. We show that our proposed optimization model can tune the tradeoff between the efficiency and equity perspectives for the MSU(s) allocation. This enables a high level of equal service for most inhabitants, as well as reducing the time to treatment for most inhabitants of a geographic region. In particular, placing three MSUs in the SHR with the proposed tradeoff, the share of inhabitants who are expected to receive treatment within an hour potentially improved by about a factor of 14 in our model.</p>}}, author = {{Mahdiraji, Saeid Amouzad and Holmgren, Johan and Mihailescu, Radu Casian and Petersson, Jesper}}, booktitle = {{Innovation in Medicine and Healthcare - Proceedings of 9th KES-InMed 2021}}, editor = {{Chen, Yen-Wei and Tanaka, Satoshi and Howlett, Robert J. and Jain, Lakhmi C.}}, isbn = {{9789811630125}}, issn = {{2190-3018}}, keywords = {{Driving time estimation; Efficient coverage; Equal treatment; Mobile stroke unit; Time to treatment; Tradeoff function}}, language = {{eng}}, pages = {{183--193}}, publisher = {{Springer Science and Business Media B.V.}}, series = {{Smart Innovation, Systems and Technologies}}, title = {{An Optimization Model for the Tradeoff Between Efficiency and Equity for Mobile Stroke Unit Placement}}, url = {{http://dx.doi.org/10.1007/978-981-16-3013-2_15}}, doi = {{10.1007/978-981-16-3013-2_15}}, volume = {{242}}, year = {{2021}}, }