Management of the COVID-19 Pandemic in the Republic of Korea from the Perspective of Governance and Public-Private Partnership

Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence

BACKGROUND

Early warning systems (EWSs) are tools that integrate clinical observations to identify patterns indicating increased risks of clinical deterioration, thus facilitating timely and appropriate interventions. EWSs can mitigate the impact of global infectious diseases by enhancing information exchange, monitoring, and early detection.

OBJECTIVE

We aimed to evaluate the effectiveness of EWSs in acute respiratory infections (ARIs) through a scoping review of EWSs developed, described, and implemented for detecting novel, exotic, and re-emerging ARIs.

METHODS

We searched Ovid MEDLINE ALL, Embase, Cochrane Library (Wiley), and CINAHL (Ebsco). The search was conducted on October 03, 2023. Studies that implemented EWSs for the detection of acute respiratory illnesses were included. Covidence was used for citation management, and a modified Critical Appraisal Skills Programme (CASP) checklist was used for quality assessment.

RESULTS

From 5838 initial articles, 29 met the inclusion criteria for this review. Twelve studies evaluated the use of EWSs within community settings, ranging from rural community reporting networks to urban online participatory surveillance platforms. Five studies focused on EWSs that used data from hospitalization and emergency department visits. These systems leveraged clinical and admission data to effectively detect and manage local outbreaks of respiratory infections. Two studies focused on the effectiveness of existing surveillance systems, assessing their adaptability and responsiveness to emerging threats and how they could be improved based on past performance. Four studies highlighted the integration of machine learning models to improve the predictive accuracy of EWSs. Three studies explored the applications of national EWSs in different health care settings and emphasized their potential in predicting clinical deterioration and facilitating early intervention. Lastly, 3 studies addressed the use of surveillance systems in aged-care facilities, highlighting the unique challenges and needs of monitoring and responding to health threats in environments housing vulnerable populations. The CASP tool revealed that most studies were relevant, reliable, and of high value (score 6: 11/29, 38%; score 5: 9/29, 31%). The common limitations included result generalizability, selection bias, and small sample size for model validation.

CONCLUSIONS

This scoping review confirms the critical role of EWSs in enhancing public health responses to respiratory infections. Although the effectiveness of these systems is evident, challenges related to generalizability and varying methodologies suggest a need for continued innovation and standardization in EWS development.

Patient flow management in biological events: a scoping review

INTRODUCTION

Biological Events affect large populations depending on transmission potential and propagation. A recent example of a biological event spreading globally is the COVID-19 pandemic, which has had severe effects on the economy, society, and even politics,in addition to its broad occurrence and fatalities. The aim of this scoping review was to look into patient flow management techniques and approaches used globally in biological incidents.

METHODS

The current investigation was conducted based on PRISMA-ScR: Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. All articles released until March 31, 2023, about research question were examined, regardless of the year of publication. The authors searched in databases including Scopus, Web of Science, PubMed, Google scholar search engine, Grey Literature and did hand searching. Papers with lack of the required information and all non-English language publications including those with only English abstracts were excluded. Data extraction checklist has been developed Based on the consensus of authors.the content of the papers based on data extraction, analyzed using content analysis.

RESULTS

A total of 19,231 articles were retrieved in this study and after screening, 36 articles were eventually entered for final analysis. Eighty-four subcategories were identified,To facilitate more precise analysis and understanding, factors were categorised into seven categories: patient flow simulation models, risk communication management, integrated ICT system establishment, collaborative interdisciplinary and intersectoral approach, systematic patient management, promotion of health information technology models, modification of triage strategies, and optimal resource and capacity management.

CONCLUSION

Patient flow management during biological Events plays a crucial role in maintaining the performance of the healthcare system. When public health-threatening biological incidents occur, due to the high number of patients, it is essential to implement a holistic,and integrated approach from rapid identification to treatment and discharge of patients.

Toward better pandemic governance and preparedness: South Korea's whole-of-nation approach to COVID-19

BACKGROUND

The profound impact of coronavirus disease (COVID-19) has led to an increased demand for sustainable pandemic governance practices. This study explored emerging hybrid governance practices that provide robust evidence on how to address the complex challenges of pandemics effectively. South Korea, which was severely affected by COVID-19, has implemented a novel governance approach using a whole-of-nation (WoN) model. This hybrid pandemic governance approach, which integrates both whole-of-government and whole-of-society approaches, has enabled synergistic and cohesive multi-sectoral coordination among all stakeholders (public authorities, private enterprises, and civil society) to address multifaceted challenges collectively and strengthen their resilience capacity. This study investigated South Korea's WoN practices and their embedded context and identified key governance enablers facilitating this approach.

METHODS

This study employed a case study design based on an extensive analysis of policy and program documents, drawing on South Korea's publicly available data from January 1, 2020 to March 30, 2023. It assessed six system-level collaborative pandemic governance practices and key enablers, all of which were intended to fortify the country's pandemic response.

RESULTS

The primary areas of the country's WoN governance practices for COVID-19 control were (i) whole-of-government policy-making and response, (ii) COVID-19 testing system, (iii) digital surveillance of COVID-19, (iv) COVID-19 triage and treatment system, (v) domestic vaccine production, and (vi) community engagement. Key governance enablers for implementing the WoN model were establishing a legal foundation, ensuring decisive and strong governance and leadership, increasing public investment, applying a whole-of-health approach with augmented investment in public health, enhancing crisis communication, and mobilizing local leaders and civil society organizations in the national public health response.

CONCLUSIONS

In exploring innovative approaches to pandemic governance for increased efficacy, responsiveness, and impact, the WoN approach emerged as highly relevant. This example of emerging practice allows policy-makers to re-evaluate their governance strategies and initiatives to improve multi-agency partnerships across the country in their pandemic-preparedness planning.

Now Is the Time to Strengthen Government-Academic Data Infrastructures to Jump-Start Future Public Health Crisis Response

During public health crises, the significance of rapid data sharing cannot be overstated. In attempts to accelerate COVID-19 pandemic responses, discussions within society and scholarly research have focused on data sharing among health care providers, across government departments at different levels, and on an international scale. A lesser-addressed yet equally important approach to sharing data during the COVID-19 pandemic and other crises involves cross-sector collaboration between government entities and academic researchers. Specifically, this refers to dedicated projects in which a government entity shares public health data with an academic research team for data analysis to receive data insights to inform policy. In this viewpoint, we identify and outline documented data sharing challenges in the context of COVID-19 and other public health crises, as well as broader crisis scenarios encompassing natural disasters and humanitarian emergencies. We then argue that government-academic data collaborations have the potential to alleviate these challenges, which should place them at the forefront of future research attention. In particular, for researchers, data collaborations with government entities should be considered part of the social infrastructure that bolsters their research efforts toward public health crisis response. Looking ahead, we propose a shift from ad hoc, intermittent collaborations to cultivating robust and enduring partnerships. Thus, we need to move beyond viewing government-academic data interactions as 1-time sharing events. Additionally, given the scarcity of scholarly exploration in this domain, we advocate for further investigation into the real-world practices and experiences related to sharing data from government sources with researchers during public health crises.

Correlations between regional characteristics of counties and the ratio of intracounty to extracounty sources of COVID-19 in Gangwon Province, Republic of Korea

BACKGROUND

This study aimed to examine the correlations between the regional characteristics of counties in Gangwon Province, Republic of Korea and the ratio of intracounty to extracounty sources of coronavirus disease 2019 (COVID-19) infection.

METHODS

The region of the infectious contact was analysed for each COVID-19 case reported in Gangwon Province between February 22, 2020 and February 7, 2022. The population, population density, area, the proportion of urban residents, the proportion of older adults (>65 years), financial independence, and the number of adjacent counties were assessed for each of the 18 counties in Gangwon Province. Correlation coefficients between regional characteristics and the ratio of intracounty to extracounty infections were calculated.

RESULTS

In total, 19,645 cases were included in this study. The population, population density, proportion of older adults, and proportion of urban residents were significantly correlated with the ratio of intracounty to extracounty infections. A stratified analysis with an age cut-point of 65 years showed that the proportion of older adults had a significant negative correlation with the ratio of intracounty to extracounty infections. In other words, the proportions of extracounty infections were higher in countries with higher proportions of older adults.

CONCLUSION

Regions with ageing populations should carefully observe trends in infectious disease outbreaks in other regions to prevent possible transmission.

Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data

BACKGROUND

The outcomes of education and counseling by medical professionals for patients with type 2 diabetes mellitus (T2DM) are unclear. This study examined the effects of the Chronic Disease Management Program (CDMP), a health insurance fee-for-service benefit, on the incidence of diabetic complications in patients newly diagnosed with T2DM using the National Health Insurance data.

METHODS

Patients newly diagnosed with T2DM aged ≥ 20 years from 2010 to 2014 were followed up until 2015. Selection bias was minimized using propensity score matching. A stratified Cox proportional hazards model was used to analyze the association between the CDMP and the risk of incident diabetic complications. Subgroup analysis was performed for patients with high medication adherence, which was indicated by a medication possession ratio (MPR) ≥ 80.

RESULTS

Among the 11,915 patients with T2DM in the cohort, 4,617 were assigned to the CDMP and non-CDMP group each. The CDMP helped reduce the overall and microvascular risks of complications compared to the non-CDMP group; however, the protective effect against macrovascular complications was only observed in those aged ≥ 40 years. Subgroup analysis of the group aged ≥ 40 years with high adherence (an MPR ≥ 80) showed that the CDMP effectively reduced the incidence of micro- and macrovascular complications.

CONCLUSIONS

Effective management of T2DM is crucial in preventing complications in patients with the condition, and includes regular monitoring and adjustment of treatment by qualified physicians. Nevertheless, long-term prospective studies on the effects of CDMP are required to confirm this finding.

A decrease in the incidence of encephalitis in South Korea during the COVID-19 pandemic: A nationwide study between 2010 and 2021

Limited data are available on the impact of the coronavirus disease (COVID-19) pandemic on encephalitis. Therefore, we evaluated trends in encephalitis in South Korea between 2010 and 2021 using data from the National Health Insurance Service. During the pandemic (February 2020 to 2021), the monthly incidence of encephalitis declined by 0.027 per 100 000 population (95% confidence interval [CI]: -0.055 to 0.001, p = 0.062) compared to that before the pandemic. In subgroup analysis, the estimated coefficient for level change during the pandemic in the 0-4 and 5-9 years age groups were -2.050 (95% CI: -2.972 to -1.128, p < 0.001) and -0.813 (95% CI: -1.399 to -0.227, p = 0.008), respectively. The annual incidence of encephalitis during the pandemic period significantly decreased in the 0-4 and 5-9 years age groups (incidence rate ratio: 0.34 [p = 0.007] and 0.28 [p = 0.024], respectively). The intensive care unit admission rate (39.1% vs. 58.9%, p  < 0.001) and cases of death (8.9% vs. 11.1%, p < 0.001) decreased significantly during the pandemic compared to the prepandemic. During the pandemic, the incidence of encephalitis decreased markedly in South Korea, particularly in children aged ≤9 years. In addition, there were changes in the clinical outcome of encephalitis during the COVID-19 pandemic.

Changes in Expenditures of the National Health Insurance of Korea during the COVID-19 Pandemic and the Financial Implications Thereof

As the number of coronavirus disease 2019 (COVID-19) patients increased rapidly, the Korean government decided to pay most of the related medical expenses with finances from the National Health Insurance (NHI). We aimed to document changes in NHI medical expenses during the COVID-19 pandemic period. We also sought to compare how Japan and Taiwan, neighboring countries with NHI systems, responded to COVID-19 and to discuss policy implications.

A nationwide survey on the management of the COVID-19 pandemic and respiratory disease in South Korea

Background

This study aimed to explore individual prevalence of respiratory symptoms and to describe the Korean population's treatment approaches, preventive health behaviors, and mental health conditions during the pandemic.

Methods

We analyzed responses from an online nationwide survey, conducted between February 2021 to May 2021, about people's experiences during the pandemic. Statistical analysis was also performed to see if there were any significant differences in treatment and prevention strategies between different groups of respondents (between those had respiratory symptoms, compared with those who did not, and between those tested positive for COVID-19, compared with those who did not).

Results

A total of 2,177 survey respondents completed the survey and, of these, only 142 had experienced symptoms. The most frequently reported respiratory infections related symptoms were runny or blocked nose (47.6%), cough (45.5%), fever (44.1%), sore throat (42.0%), and fatigue (30.1%). More than half of the respondents (53.1%) used complementary and alternative medicine (CAM) approaches as means of preventive measures. In terms of preventive behaviors, the more emphasized behaviors were mask-wearing (58.9%) and hand-washing after coming home (42.7%). The majority of the respondents (64.9%) did not show signs of mental health issues.

Conclusion

In South Korea, conventional medicine was mainly used for COVID-19 treatment whereas CAM was commonly used as preventive measures. COVID-19 was also found to have less impact on the general population's mental health. The findings of this study may shed light on how the pandemic impacted the general population.

The impact of the COVID-19 pandemic in the healthcare utilization in Korea: Analysis of a nationwide survey

BACKGROUND

COVID-19 has brought changes in daily life and increased the medical burden. This study aims to evaluate the delays in healthcare services and related factors in the general population during the COVID-19 pandemic.

METHODS

We took a nationally representative sample and conducted a mobile phone-based survey. The study was conducted anonymously. Of the 3377 subjects who consented to participate, a total of 2097 finished the survey. The primary outcome was respondents' experiences with delayed (1) health screenings, (2) non-urgent medical visits, (3) medical visits for chronic disease, and (4) emergency visits during the COVID-19 pandemic.

RESULTS

Of 2097 respondents, females, residents of the Seoul metropolitan area, those with private insurance, those without chronic diseases, smokers, and drinkers had higher risk of delays in health screening and non-urgent medical visits after adjustment. Among chronic disease patients, those who were over 60 years old (adjusted odds ratio 0.36, 95% CI 0.14-0.92) showed lower risk of delayed medical visit. Residents of the Seoul metropolitan area, those with private insurance, smokers, and drinkers were all associated with experiencing delayed health screening and non-urgent medical visits had higher risk of delays in chronic disease visits and emergent medical visits.

CONCLUSIONS

Delayed access to healthcare services is associated with poor outcomes and may cause different complications. Efforts are needed to prevent delays in medical use due to infectious diseases such as COVID-19. Considering the possibility of the emergence of infectious diseases, various countermeasures are needed to prevent delays in medical visit.

Health Promotion Behaviors of Pregnant Couples in the COVID-19 Pandemic: Actor-Partner Interdependence Model

Pregnancy during the pandemic may be a stressful life event. This cross-sectional study aimed to identify the actor and partner effects of the fear of COVID-19, depression, posttraumatic growth, and marital adjustment on the health promotion behaviors of pregnant couples during the COVID-19 pandemic in Korea. Data were collected from 123 pregnant couples using a structured questionnaire. The data were analyzed using the Actor-Partner Interdependence Model (APIM). The actor effects of the fear of COVID-19, depression, and posttraumatic growth on the health promotion behaviors of pregnant women and their spouses were significant. Furthermore, both actor and partner effects of husbands' marital adjustment on health promotion behaviors were significant. When carrying out nursing intervention for the health promotion of pregnant couples, programs aimed at reducing depression and improving posttraumatic growth in pregnant couples should be included. In addition, improving marital adjustment will positively affect the health promotion behaviors of pregnant couples. The findings highlight the important role of healthcare providers in assessing depressive symptoms and fear of COVID-19 in pregnant couples and providing support to promote health behaviors as part of prenatal care.

An Evaluation of Project Risk Dynamics in Sino-Africa Public Infrastructure Delivery; A Causal Loop and Interpretive Structural Modelling Approach (ISM-CLD)

Africa’s growth in public infrastructure provision has been fueled by the collective effort of the government authority and foreign private investors. China, through state-owned corporations, has become one of the leading infrastructure financier springing up numerous projects in transport, energy, oil and gas, water, and sewage sectors in Africa. Infrastructure procurement in developing countries comes with complexities and uncertainties. While Sino-Africa transnational public–private partnerships (TPPP) are becoming an increasingly popular route for public infrastructure procurement, their specific project risks and dynamics are not yet fully understood due to the typical assessment of risk autonomously. This paper identifies pertinent project risks in Sino-Africa TPPPs and applies system thinking in evaluating their behaviour and dynamics. An extensive review of literature and expert opinion employing semi-structured interviews was adopted in the identification and assessment of risk factors. Additionally, the study applied causal loop and interpretive structural modelling as an integrated approach in the assessment of risk behaviour from a systems perspective. Results indicate that risk factors associated with Sino-Africa TPPPs are interactive and portray curious systemic behaviour. Risk factors like force majeure and others associated with the governance structure and stability of the host African country are most influential, and their occurrence could inhibit project success. The study recommends that in conjunction with the conventional risk assessment by impact, systems thinking can be adopted to evaluate and comprehend the dynamics and interactions amongst the risk factors. This will improve risk assessment efficiency and fair allocation and treatment of risks as a conduit for project success and promote a win–win partnership for project actors.