Public health responses to COVID-19 in Japan

Key issues in Japan's public health centers to prepare for future pandemics: a text mining study using a topic model

BACKGROUND

In Japan, over 450 public health centers played a central role in the operation of the local public health system in response to the COVID-19 pandemic. This study aimed to identify key issues for improving the system for public health centers for future pandemics.

METHODS

We conducted a cross-sectional study using an online questionnaire. The respondents were first line workers in public health centers or local governments during the pandemic. We solicited open-ended responses concerning improvements needed for future pandemics. Issues were identified from these descriptions using morphological analysis and a topic model with KHcoder3.0. The number of topics was estimated using Perplexity as a measure, and Latent Dirichlet Allocation for meaning identification.

RESULTS

We received open-ended responses from 784 (48.6%) of the 1,612 survey respondents, which included 111 physicians, 330 nurses, and 172 administrative staff. Morphological analysis processed these descriptions into 36,632 words. The topic model summarized them into eight issues: 1) establishment of a crisis management system, 2) division of functions among public health centers, prefectures, and medical institutions, 3) clear role distribution in public health center staff, 4) training of specialists, 5) information sharing system (information about infectious diseases and government policies), 6) response to excessive workload (support from other local governments, cooperation within public health centers, and outsourcing), 7) streamlining operations, and 8) balance with regular duties.

CONCLUSIONS

This study identified key issues that need to be addressed to prepare Japan's public health centers for future pandemics. These findings are vital for discussions aimed at strengthening the public health system based on experiences from the COVID-19 pandemic.

Using a Systems Engineering Approach to Build a PCR Testing System at a Medical School During the COVID-19 Pandemic

Background

During the COVID-19 pandemic, there was an increasing need to expand diagnostic testing in hospitals. At Keio University Hospital (KUH), clinical staff were concerned that the demand for PCR testing might exceed the capacity of the Clinical Laboratory. In response, basic researchers at Keio University School of Medicine (KUSM) set out to build a new, collaborative, PCR testing system. To be authorized to perform such diagnostic PCR testing, KUSM registered its core laboratory as an external clinical laboratory (ECL).

Methods

In the pandemic, there was a pressure to build the PCR system quickly. Speed required discussions that developed a shared understanding of the unprecedented, new KUH/KUSM PCR system. To design, construct, and archive the new PCR testing system, we used a systems engineering (SE) approach. This included diagram visualization of functional flows and application of the Unified Architecture Framework (UAF), both of which are often used in system building. We considered daily demand for PCR testing at KUH and KUSM, and daily COVID-19 infections in Japan.

Results

We operated the collaborative PCR testing system from August 2020 to June 2022. Given public health insurance reimbursement policies, KUH focused on individuals with suspicious symptoms, while the ECL at KUSM screened samples from asymptomatic individuals. KUSM performed about half as many tests as KUH. Interviewing KUH staff revealed that diagrams helped promote a better understanding of the KUH/KUSM PCR testing system.

Conclusion

When designing temporary systems that may be repurposed in the future, we suggest using an SE approach with diagrams and UAF perspectives. This approach will enable stakeholders to understand what is being proposed to be built, and facilitate achieving an informed consensus on the proposed system. We suggest that SE approaches should be widely used in projects that involve building and operating complex, collaborative systems, and documenting the process.

Factors related to the resignation and migration of physicians in public health administration agencies using nationwide survey data in Japan

BACKGROUND

Physicians in public health administration agencies (public health physicians: PHP) play important roles in public health; however, there are not enough such physicians in Japan. This study aimed to elucidate the factors related to the resignation and migration of PHPs using nationwide survey data.

METHODS

Data from the Survey of Physicians, Dentists, and Pharmacists (2010, 2012, 2014, and 2016) were analyzed. The outcome was the resignation of PHPs or migration to public health administration agencies. The explanatory variables in the resignation analysis were age, sex, workplace, and board certification status. The type of work was added as an explanatory variable in the migration analysis, and clinical specialty was added to the clinical doctor-restricted analysis. The odds ratios (ORs) of the explanatory variables were calculated using generalized estimation equations.

RESULTS

In the resignation analysis among PHPs, women had a significantly lower OR, whereas younger PHPs and those with board certifications had significantly higher ORs. In the migration to public health administration agencies analysis among medical doctors, women and those aged between 35 and 39 years had significantly higher ORs, but those with board certifications had significantly lower ORs. Hospital/clinic founders or directors had significantly lower ORs, but the clinic staff and 'others/not working' had significantly higher ORs. In the migration to public health administration agencies analysis among clinical physicians, those aged between 35 and 39 years had significantly higher ORs. Still, those with two or more board certifications had significantly lower ORs. Hospital/clinic founders or directors had significantly lower ORs, but the clinic staff had significantly higher ORs. Clinical doctors specializing in surgery and other specialties had significantly lower ORs, but those specializing in pediatrics and psychiatry/psychosomatic medicine had significantly higher ORs.

CONCLUSIONS

Having board certifications were significantly related to the resignation of PHPs and migration to public health administration agencies. Women migrated to public health administration agencies more than men and younger PHPs were more likely to resign. However, medical doctors aged between 35 and 39 years were more likely to migrate to public health administration agencies. Similarly, clinic staff, non-clinical physicians, and those whose specialties were pediatrics and psychiatry/psychosomatic medicine were more likely to migrate to public health administration agencies.

Association between History of Vaccination and Symptoms at Diagnosis of Coronavirus Disease 2019

Introduction

We investigated the association between history of vaccination for coronavirus disease 2019 (COVID-19) and symptoms at its diagnosis.

Methods

We retrospectively analyzed 2566 consecutive individuals suspected of having COVID-19 and visited a designated clinic between January and September 2022 (1733 were diagnosed with COVID-19, and 816 tested negative for COVID-19) in Japan. The individuals were divided by vaccination history for COVID-19.

Results

In the COVID-19-free individuals, the vaccination was not significantly associated with any symptoms. Contrarily, those with COVID-19 demonstrated an inverse relationship between the vaccination and body temperature; the adjusted mean value was higher by 0.01°C, 0.04°C, 0.09°C, 0.27°C, and 0.34°C and 0.48°C in individuals vaccinated 2-4, 4-6, 6-8, 8-10, and >10 months before and those unvaccinated, respectively, than in those vaccinated within 2 months (P = 0.96, 0.41, 0.081, 0.006, 0.004, and <0.001). Furthermore, among the affected population, individuals vaccinated long before or never vaccinated more frequently complained of fatigue and headache; the adjusted odds ratios of those vaccinated >10 months before and those unvaccinated compared with those vaccinated within 2 months were 2.53 and 2.45 for fatigue and 2.53 and 2.17 for headache (all P < 0.05). Contrarily, the prevalence of rhinorrhea, sore throat, and cough was higher in recently vaccinated individuals (adjusted odds ratios of those vaccinated within 2 months versus those unvaccinated, 2.40, 2.46, and 2.46; all P < 0.05).

Conclusions

Symptoms at the COVID-19 diagnosis differed with the vaccination history. Information on vaccination history would be worth using when suspecting COVID-19 based on symptoms.

The estimated disease burden of COVID-19 in Japan from 2020 to 2021

BACKGROUND

To date, it is not fully understood to what extent COVID-19 has burdened society in Japan. This study aimed to estimate the total disease burden due to COVID-19 in Japan during 2020-2021.

METHODS

We stratify disease burden estimates by age group and present it as absolute Quality Adjusted Life Years (QALYs) lost and QALYs lost per 100,000 persons. The total estimated value of QALYs lost consists of (1) QALYs lost brought by deaths due to COVID-19, (2) QALYs lost brought by inpatient cases, (3) QALYs lost brought by outpatient cases, and (4) QALYs lost brought by long-COVID.

RESULTS

The total QALYs lost due to COVID-19 was estimated as 286,782 for two years, 114.0 QALYs per 100,000 population per year. 71.3% of them were explained by the burden derived from deaths. Probabilistic sensitivity analysis showed that the burden of outpatient cases was the most sensitive factor.

CONCLUSIONS

The large part of disease burden due to COVID-19 in Japan from the beginning of 2020 to the end of 2021 was derived from Wave 3, 4, and 5 and the proportion of QALYs lost due to morbidity in the total burden increased gradually. The estimated disease burden was smaller than that in other high-income countries. It will be our future challenge to take other indirect factors into consideration.

Antiviral medications for mild-to-moderate COVID-19 in Japan: a gap of timing between clinical trials and real-world scenarios in a fast-changing pandemic

The rapid spread of a novel type of coronavirus infection, coronavirus disease 2019 (COVID-19) has made it difficult to implement the results of clinical trials in real-world situations. After the emergence of the Omicron variant and messenger RNA vaccine, a combination of less virulent but more contagious viruses and more people with protective immunity has resulted in a larger number of patients with less severe, mild-to-moderate COVID-19. Many patients with severe conditions did not have extensive viral pneumonia frequently seen in the "pre-Omicron" era but had serious complications due to aggravation of underlying comorbidities or secondary bacterial infections. Most clinical trials for new antiviral drugs were conducted in the "pre-Omicron" period based on a different set of background patient characteristics than the ones seen in the Omicron period. Understanding situational differences due to the gap in the timing between clinical trials and the practical use of drugs for COVID-19 will assist in developing an effective treatment strategy in real-world practice. In this seminar, we reviewed antiviral treatments for mild-to-moderate COVID-19 from the viewpoint of the difference in patient backgrounds between clinical trials and real-world studies, focusing on drugs currently used in Japan.

Loneliness and Increased Hazardous Alcohol Use: Data from a Nationwide Internet Survey with 1-Year Follow-Up

We aimed to examine the association between loneliness and developing alcohol dependence or hazardous alcohol use. A cohort study was conducted utilizing data from a nationwide internet survey in 2021 and 2022 in Japan. A total of 15,854 follow-up participants (55% men, with a mean age of 52.8 years) were divided based on AUDIT scores: nondrinkers (AUDIT: 0), low-risk drinkers (AUDIT: 1-7), medium-risk drinkers (AUD: 8-14), high-risk drinkers (AUDIT: 15-19), and probable alcohol dependence (AUDIT: 20-40). The University of California, Los Angeles Loneliness Scale (Version 3), a short-form three-item scale, was used to assess loneliness (high loneliness score of ≥6). The prevalence of high loneliness was higher in nondrinkers than that in low- and medium-risk drinkers, i.e., 22%, 18%, and 17%, respectively, as well as in high-risk drinkers (32%) and those with probable alcohol dependence (43%) compared to non-high-risk drinkers (19%). After adjusting for various factors (sociodemographic, social isolation, psychological distress, and smoking), non-high-risk drinkers (AUDIT: 0-14) with high loneliness were more likely to become high-or-over-risk drinkers (AUDIT: 15-40) than those without high loneliness, with adjusted risk ratios of 1.45 (95% confidence interval: 1.08-1.96) through multivariable binary logistic regression. Among non-high-risk drinkers, people with high loneliness scores at baseline were associated with increased high-risk drinking patterns with probable alcohol dependence.