Evolutionary game analysis on the regulation of medical devices used in health services delivery

Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery. We performed theoretical analysis and numerical simulations to examine the stability of stakeholders' strategy selections. Our results reveal that: (1) Evolutionarily stable strategy (ESS) can be reached under specific revenue conditions for the government, hospitals, and MDs enterprises. (2) Penalty intensities largely affect the convergence rates of hospital strict management and enterprise quality improvement strategies. (3) Whistleblowing is an efficient factor to influence strategy selections of the hospital and MDs enterprise. Based on these findings, we propose policy recommendations to enhance MDs regulation effectiveness, including encouraging hospitals' engagement in regulation, promoting whistleblowing with more public participation, balancing penalty systems, and strengthening multi-party cooperation.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-83068-1
Citations
4
Primary Topic
Pharmaceutical industry and healthcare
Type
article
Field-Weighted Citation Impact
1.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolutionary game analysis on the regulation of medical devices used in health services delivery

Cuihua Hu, Greg Tong, Qingqing Geng
4 citations
Scientific Reports
Pharmaceutical industry and healthcare
1.87
article

Evolutionary game analysis on the regulation of medical devices used in health services delivery

Cuihua Hu, Greg Tong, Qingqing Geng
article en
4 citations

Abstract

Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery. We performed theoretical analysis and numerical simulations to examine the stability of stakeholders' strategy selections. Our results reveal that: (1) Evolutionarily stable strategy (ESS) can be reached under specific revenue conditions for the government, hospitals, and MDs enterprises. (2) Penalty intensities largely affect the convergence rates of hospital strict management and enterprise quality improvement strategies. (3) Whistleblowing is an efficient factor to influence strategy selections of the hospital and MDs enterprise. Based on these findings, we propose policy recommendations to enhance MDs regulation effectiveness, including encouraging hospitals' engagement in regulation, promoting whistleblowing with more public participation, balancing penalty systems, and strengthening multi-party cooperation.

Scientific ReportsVol. 14(1)
University of Science and Technology of China (CN), Hefei University of Technology (CN), Anhui University of Traditional Chinese Medicine (CN), Hefei University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Pharmaceutical industry and healthcare
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evolutionary game analysis on the regulation of medical devices used in health services delivery — Cuihua Hu, Greg Tong, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS