Cargando…

Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era

“Re-visits and drug renewal” is difficult for chronic disease patients during COVID-19 and will continue in the post-pandemic era. To overcome this dilemma, the scenario of chronic disease diagnosis and treatment systems was set, and an evolutionary game model participated by four stakeholder groups...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Lei, Wang, Xiaofeng, Xiao, Han, Ma, Cheng, Li, Xinbo, Dai, Gengxin, Liu, Yuli, Du, Yuqing, Song, Yangrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792788/
https://www.ncbi.nlm.nih.gov/pubmed/36582374
http://dx.doi.org/10.3389/fpubh.2022.1023022
_version_ 1784859709206953984
author Zhang, Lei
Wang, Xiaofeng
Xiao, Han
Ma, Cheng
Li, Xinbo
Dai, Gengxin
Liu, Yuli
Du, Yuqing
Song, Yangrui
author_facet Zhang, Lei
Wang, Xiaofeng
Xiao, Han
Ma, Cheng
Li, Xinbo
Dai, Gengxin
Liu, Yuli
Du, Yuqing
Song, Yangrui
author_sort Zhang, Lei
collection PubMed
description “Re-visits and drug renewal” is difficult for chronic disease patients during COVID-19 and will continue in the post-pandemic era. To overcome this dilemma, the scenario of chronic disease diagnosis and treatment systems was set, and an evolutionary game model participated by four stakeholder groups including physical medical institutions, medical service platforms, intelligent medical device providers, and chronic disease patients, was established. Ten possible evolutionary stabilization strategies (ESSs) with their mandatory conditions were found based on Lyapunov's first method. Taking cardiovascular and cerebrovascular diseases, the top 1 prevalent chronic disease, as a specific case context, and resorting to the MATLAB simulation, it is confirmed that several dual ESSs and four unique ESS circumstances exist, respectively, and the evolution direction is determined by initial conditions, while the evolution speed is determined by the values of the conditions based on the quantitative relations of benefits, costs, etc. Accordingly, four governance mechanisms were proposed. By their adjustment, the conditions along with their values can be interfered, and then the chronic disease diagnosis and treatment systems can be guided toward the desired direction, that is, toward the direction of countermeasure against the pandemic, government guidance, global trends of medical industry development, social welfare, and lifestyle innovation. The dilemma of “Re-visits and drug renewal” actually reflects the uneven distribution problem of qualified medical resources and the poor impact resistance capability of social medical service systems under mass public emergency. Human lifestyle even the way of working all over the world will get a spiral upgrade after experiencing COVID-19, such as consumption, and meeting, while medical habits react not so rapidly, especially for mid or aged chronic disease patients. We believe that telemedicine empowered by intelligent medical devices can benefit them and will be a global trend, governments and the four key stakeholders should act according to the governance mechanisms suggested here simultaneously toward novel social medical ecosystems for the post-pandemic era.
format Online
Article
Text
id pubmed-9792788
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97927882022-12-28 Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era Zhang, Lei Wang, Xiaofeng Xiao, Han Ma, Cheng Li, Xinbo Dai, Gengxin Liu, Yuli Du, Yuqing Song, Yangrui Front Public Health Public Health “Re-visits and drug renewal” is difficult for chronic disease patients during COVID-19 and will continue in the post-pandemic era. To overcome this dilemma, the scenario of chronic disease diagnosis and treatment systems was set, and an evolutionary game model participated by four stakeholder groups including physical medical institutions, medical service platforms, intelligent medical device providers, and chronic disease patients, was established. Ten possible evolutionary stabilization strategies (ESSs) with their mandatory conditions were found based on Lyapunov's first method. Taking cardiovascular and cerebrovascular diseases, the top 1 prevalent chronic disease, as a specific case context, and resorting to the MATLAB simulation, it is confirmed that several dual ESSs and four unique ESS circumstances exist, respectively, and the evolution direction is determined by initial conditions, while the evolution speed is determined by the values of the conditions based on the quantitative relations of benefits, costs, etc. Accordingly, four governance mechanisms were proposed. By their adjustment, the conditions along with their values can be interfered, and then the chronic disease diagnosis and treatment systems can be guided toward the desired direction, that is, toward the direction of countermeasure against the pandemic, government guidance, global trends of medical industry development, social welfare, and lifestyle innovation. The dilemma of “Re-visits and drug renewal” actually reflects the uneven distribution problem of qualified medical resources and the poor impact resistance capability of social medical service systems under mass public emergency. Human lifestyle even the way of working all over the world will get a spiral upgrade after experiencing COVID-19, such as consumption, and meeting, while medical habits react not so rapidly, especially for mid or aged chronic disease patients. We believe that telemedicine empowered by intelligent medical devices can benefit them and will be a global trend, governments and the four key stakeholders should act according to the governance mechanisms suggested here simultaneously toward novel social medical ecosystems for the post-pandemic era. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9792788/ /pubmed/36582374 http://dx.doi.org/10.3389/fpubh.2022.1023022 Text en Copyright © 2022 Zhang, Wang, Xiao, Ma, Li, Dai, Liu, Du and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zhang, Lei
Wang, Xiaofeng
Xiao, Han
Ma, Cheng
Li, Xinbo
Dai, Gengxin
Liu, Yuli
Du, Yuqing
Song, Yangrui
Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title_full Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title_fullStr Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title_full_unstemmed Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title_short Governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
title_sort governance mechanisms for chronic disease diagnosis and treatment systems in the post-pandemic era
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792788/
https://www.ncbi.nlm.nih.gov/pubmed/36582374
http://dx.doi.org/10.3389/fpubh.2022.1023022
work_keys_str_mv AT zhanglei governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT wangxiaofeng governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT xiaohan governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT macheng governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT lixinbo governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT daigengxin governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT liuyuli governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT duyuqing governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera
AT songyangrui governancemechanismsforchronicdiseasediagnosisandtreatmentsystemsinthepostpandemicera