Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Spending by the UK’s National Health Service (NHS) on independent healthcare treatment has been increased in recent years and is predicted to sustain its upward trend with the forecast of population growth. Some have viewed this increase as an attempt not to expand the patients’ choices but to privatize public healthcare. This debate poses a social dilemma whether the NHS should stop cooperating with Private providers. This paper contributes to healthcare economic modelling by investigating the evolution of cooperation among three proposed populations: Public Healthcare Providers, Private Healthcare Providers and Patients. The Patient population is included as a main player in the decision-making process by expanding patient’ s choices of treatment. We develop a generic basic model that measures the cost of healthcare provision based on given parameters, such as NHS and private healthcare providers’ cost of investments in both sectors, cost of treatments and gained benefits. A patient’s costly punishment is introduced as a mechanism to enhance cooperation among the three populations. Our findings show that cooperation can be improved with the introduction of punishment (patient’s punishment) against defecting providers. Although punishment increases cooperation, it is very costly considering the small improvement in cooperation in comparison to the basic model.
Original languageEnglish
Title of host publicationProceedings of the 2019 Conference on Artificial Life
Subtitle of host publicationAlife 2019
PublisherMIT Press
Number of pages8
Volume31
DOIs
Publication statusPublished - 29 Jul 2019
EventThe 2019 Conference on Artificial Life: 2019 International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB) - Newcastle University, Newcastle, United Kingdom
Duration: 29 Jul 20192 Aug 2019
http://abmhub.braintree.com/
https://2019.alife.org/

Conference

ConferenceThe 2019 Conference on Artificial Life
Abbreviated titleALIFE 2019
CountryUnited Kingdom
CityNewcastle
Period29/07/192/08/19
Internet address

Fingerprint

Patient Satisfaction
Punishment
Delivery of Health Care
National Health Programs
Health Personnel
Health Care Costs
Population
Population Growth
Decision Making
Economics
Costs and Cost Analysis
Therapeutics

Cite this

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title = "Pathways to Good Healthcare Services and Patient Satisfaction:: An Evolutionary Game Theoretical Approach",
abstract = "Spending by the UK’s National Health Service (NHS) on independent healthcare treatment has been increased in recent years and is predicted to sustain its upward trend with the forecast of population growth. Some have viewed this increase as an attempt not to expand the patients’ choices but to privatize public healthcare. This debate poses a social dilemma whether the NHS should stop cooperating with Private providers. This paper contributes to healthcare economic modelling by investigating the evolution of cooperation among three proposed populations: Public Healthcare Providers, Private Healthcare Providers and Patients. The Patient population is included as a main player in the decision-making process by expanding patient’ s choices of treatment. We develop a generic basic model that measures the cost of healthcare provision based on given parameters, such as NHS and private healthcare providers’ cost of investments in both sectors, cost of treatments and gained benefits. A patient’s costly punishment is introduced as a mechanism to enhance cooperation among the three populations. Our findings show that cooperation can be improved with the introduction of punishment (patient’s punishment) against defecting providers. Although punishment increases cooperation, it is very costly considering the small improvement in cooperation in comparison to the basic model.",
author = "Zainab Alalawi and Han, {The Anh} and Yifeng Zeng and Aiman Elragig",
year = "2019",
month = "7",
day = "29",
doi = "10.1162/isal_a_00152",
language = "English",
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booktitle = "Proceedings of the 2019 Conference on Artificial Life",
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}

Alalawi, Z, Han, TA, Zeng, Y & Elragig, A (ed.) 2019, Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach. in Proceedings of the 2019 Conference on Artificial Life : Alife 2019. vol. 31, MIT Press, The 2019 Conference on Artificial Life, Newcastle, United Kingdom, 29/07/19. https://doi.org/10.1162/isal_a_00152

Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach. / Alalawi, Zainab; Han, The Anh; Zeng, Yifeng; Elragig, Aiman (Editor).

Proceedings of the 2019 Conference on Artificial Life : Alife 2019. Vol. 31 MIT Press, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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