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Analysis of the Quantitative Evaluation of the Public Medical and Health System Costs During Pandemic Governance: Investigation Based on COVID-19

ABSTRACT: It is of great reference significance for broadening the research perspective of pandemic governance, improving the efficiency of pandemic governance and the credibility of the government, to scientifically measure and analyze the public medical and health system costs. This article takes the typical case “pandemic prevention and control event of S city, China” as the research background. First, the concept of public medical and health system costs during pandemic governance is defined. Then, the public medical and health system costs are embedded into the pandemic governance system, and the generation process of the public medical and health system costs in the actual situation are investigated. Furthermore, through in-depth interview, multi-case grounded theory and fuzzy subordinate function analysis, the scientific construction of the public medical and health system cost index system are completed. Finally, based on G1 method/entropy method combined with weighting and fuzzy comprehensive evaluation method, the public medical and health system costs of the pandemic prevention and control events of S city is measured. The results show the following: (1) it is important that good single dimensions and reliable indicators are embodied in the public medical and health system costs scale. Among them, the behavioral public medical and health system costs of the masses is the largest proportion of all indicators; (2) after the pandemic prevention and control event is over, the public medical and health system cost are difficult to repair, and some lagging ideas and behaviors shown by local governments lead to a continuous expansion of the public medical and health system costs associated with pandemic governance; and (3) local governments should not conceal information asymmetry. Instead, local governments should give greater freedom to other actors to deal with pandemic governance, and governance entities should cooperate with each other. This will mitigate the effect of public medical and health system costs. Corresponding policy recommendations are proposed.

SUBMITTER: Li X

PROVIDER: S-EPMC9326215 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundOn January 30, 2020, WHO declared COVID-19 as a Global Public Health Emergency. The first three COVID-19 cases in Bangladesh were confirmed on March 8, 2020. Thus, Bangladesh got substantial time to prepare the people and the health systems to respond to the outbreak However, neither the health ministry nor the government was found to rise to the occasion and provide the necessary stewardship for a coordinated and comprehensive response.ObjectiveThe importance of governance to mount an evidence-based pandemic response cannot be overemphasised. This study presents critical reflections on the Bangladesh government's COVID-19 response through a review of selected papers, with expert deliberations on the review findings to consolidate emerging lessons for future pandemic preparedness.Study designA scoping review approach was taken for this study.MethodsDocuments focusing on COVID-19 governance were selected from a repository of peer-reviewed articles published by researchers using data from Bangladesh (n = 11).ResultsFindings reveal Bangladesh's COVID-19 response to be delayed, slow, and ambiguous, reflecting poorly on its governance. Lack of governance capability in screening for COVID-19, instituting quarantine and lockdown measures in the early weeks, safety and security of frontline healthcare providers, timely and equitable COVID-19 testing, and logistics and procurement were phenomenal. The pandemic unmasked the weaknesses of the health system in this regard and "created new opportunities for corruption." The failure to harmonise coordination among the government's different agencies for the COVID-19 response, along with poor risk communication, which was not culture-sensitive and context-specific. Over time, the government initiated necessary actions to mitigate the pandemic's impact on the lives and livelihoods of the people. Diagnostic and case management services gained strength after some initial faltering; however, the stewardship functions were not seamless.ConclusionsShortage of healthcare workers, incapability of health facilities to cater to COVID-19 suspects and cases, absence of health system resilience, and corruption in procurement and purchases were limited the government's COVID-19 response. These need urgent attention from policymakers to better prepare for the next epidemic/pandemic.

Project description:How can political elites learn from the past to enhance sustainability of their leadership in a pandemic situation? In this article, we develop a theoretical framework of policy implementation that combines collaboration from public and private sectors ("Public-Private Partnership," or PPP) to efficiently deal with urgent crises such as COVID-19. We explain the role of new institutions prompted by policy failure precedence (Time 1) that at a later time period (Time 2) allow for the activation of PPPs with the aim to extend the political life of incumbent leaderships. Specifically, we examine the case of South Korea, a country in which a prior case of MERS in 2015 (Time 1) had established new policies for pandemic governance. In 2020, such policies were activated by the incumbent leadership in order to contain COVID-19 (Time 2). In particular, for swift and effective management of the pandemic, the South Korean government utilized partnerships with the private sector to exponentially increase the amount of Real-Time Polymerase Chain Reaction (RT-PCR) testing. We apply Policy Feedback Theory to demonstrate the political effects of failed policy precedents and how the political outcomes again shape new policies in a dynamic and cyclical manner. Empirically, we conduct a content analysis of South Korea's pharmaceutical sector in government procurement and exports of test-kits during the COVID-19 pandemic. We show that as the pandemic situation progressed, South Korea's leader, who had been in danger of plummeting support to the extent that impeachment was discussed as a viable option, drastically shifted public opinion to achieve a landslide victory in general elections in April 2020. Our findings suggest that democratic governments, aware of precedents and wary of their fate in elections, are pressured to perform well in crisis management, and thus turn to rapidly mobilizing public and private means for survival. Such means are evidenced by the case of emergency use authorization (EUA) process for test-kits, in which "leapfrogging players" - up-and-coming innovators - that contribute to turning a pandemic crisis into an opportunity for sustainable leadership and for themselves.

Project description:BackgroundThe COVID-19 pandemic disrupted the United States (US) medical education system with the necessary, yet unprecedented Association of American Medical Colleges (AAMC) national recommendation to pause all student clinical rotations with in-person patient care. This study is a quantitative analysis investigating the educational and psychological effects of the pandemic on US medical students and their reactions to the AAMC recommendation in order to inform medical education policy.MethodsThe authors sent a cross-sectional survey via email to medical students in their clinical training years at six medical schools during the initial peak phase of the COVID-19 pandemic. Survey questions aimed to evaluate students' perceptions of COVID-19's impact on medical education; ethical obligations during a pandemic; infection risk; anxiety and burnout; willingness and needed preparations to return to clinical rotations.ResultsSeven hundred forty-one (29.5%) students responded. Nearly all students (93.7%) were not involved in clinical rotations with in-person patient contact at the time the study was conducted. Reactions to being removed were mixed, with 75.8% feeling this was appropriate, 34.7% guilty, 33.5% disappointed, and 27.0% relieved. Most students (74.7%) agreed the pandemic had significantly disrupted their medical education, and believed they should continue with normal clinical rotations during this pandemic (61.3%). When asked if they would accept the risk of infection with COVID-19 if they returned to the clinical setting, 83.4% agreed. Students reported the pandemic had moderate effects on their stress and anxiety levels with 84.1% of respondents feeling at least somewhat anxious. Adequate personal protective equipment (PPE) (53.5%) was the most important factor to feel safe returning to clinical rotations, followed by adequate testing for infection (19.3%) and antibody testing (16.2%).ConclusionsThe COVID-19 pandemic disrupted the education of US medical students in their clinical training years. The majority of students wanted to return to clinical rotations and were willing to accept the risk of COVID-19 infection. Students were most concerned with having enough PPE if allowed to return to clinical activities.

Project description:IntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smooth operation of a country or region's healthcare system during a pandemic. However, large makeshift hospitals, such as the Shanghai New International Expo Center (SNIEC) makeshift hospital, which was one of the largest makeshift hospitals in the world, face two major problems: Effective and precise transfer of patients and heterogeneity of the medical care teams.MethodsTo solve these problems, this study presents the medical practices of the SNIEC makeshift hospital in Shanghai, China. The experiences include constructing two groups, developing a medical management protocol, implementing a multi-dimensional management mode to screen patients, transferring them effectively, and achieving homogeneous quality of medical care. To evaluate the medical practice performance of the SNIEC makeshift hospital, 41,941 infected patients were retrospectively reviewed from March 31 to May 23, 2022. Multivariate logistic regression method and a tree-augmented naive (TAN) Bayesian network mode were used.ResultsWe identified that the three most important variables were chronic disease, age, and type of cabin, with importance values of 0.63, 0.15, and 0.11, respectively. The constructed TAN Bayesian network model had good predictive values; the overall correct rates of the model-training dataset partition and test dataset partition were 99.19 and 99.05%, respectively, and the respective values for the area under the receiver operating characteristic curve were 0.939 and 0.957.ConclusionThe medical practice in the SNIEC makeshift hospital was implemented well, had good medical care performance, and could be copied worldwide as a practical intervention to fight the epidemic in China and other developing countries.

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Analysis of the Quantitative Evaluation of the Public Medical and Health System Costs During Pandemic Governance: Investigation Based on COVID-19

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