Medical needs during the Kumamoto heavy rain 2020: analysis from emergency medical teams' responses.

BACKGROUND: Rainfall-induced floods represented 70% of the disasters in Japan from 1985 to 2018 and caused various health problems. To improve preparedness and preventive measures, more information is needed on the health problems caused by heavy rain. However, it has proven challenging to collect health data surrounding disasters due to various inhibiting factors such as environmental hazards and logistical constraints. In response to the Kumamoto Heavy Rain 2020, Emergency Medical Teams (EMTs) used J-SPEED (Japan-Surveillance in Post Extreme Emergencies and Disasters) as a daily reporting tool, collecting patient data and sending it to an EMTCC (EMT Coordination Cell) during the response. We performed a descriptive epidemiological analysis using J-SPEED data to better understand the health problems arising from the Kumamoto Heavy Rain 2020 in Japan. METHODS: During the Kumamoto Heavy Rain 2020 from July 5 to July 31, 2020, 79 EMTs used the J-SPEED form to submit daily reports to the EMTCC on the number and types of health problems they treated. We analyzed the 207 daily reports, categorizing the data by age, gender, and time period. RESULTS: Among the 816 reported consultations, women accounted for 51% and men accounted for 49%. The majority of patients were elderly (62.1%), followed by adults (32.8%), and children (5%). The most common health issues included treatment interruption (12.4%), hypertension (12.0%), wounds (10.8%), minor trauma (9.6%), and disaster-related stress symptoms (7.4%). Consultations followed six phases during the disaster response, with the highest occurrence during the hyperacute and acute phases. Directly disaster-related events comprised 13.9% of consultations, indirectly related events comprised 52.0%, and unrelated events comprised 34.0%. As the response phases progressed, the proportions of directly and indirectly related events decreased while that of unrelated events increased. CONCLUSION: By harnessing data captured by J-SPEED, this research demonstrates the feasibility of collecting, quantifying, and analyzing data using a uniform format. Comparison of the present findings with those of two previous analyses of J-SPEED data from other disaster scenarios that varied in time, location, and/or disaster type showcases the potential to use analysis of past experiences to advancing knowledge on disaster medicine and disaster public health.

Communication between Health Professionals and Community Residents in Fukushima: A Focus on the Feedback Loop.

Interactive communication and the ability to consider feedback are critical for linking health professionals and the community. Goto and colleagues developed and conducted health literacy training workshops for public health nurses after the 2011 nuclear accident in Fukushima to improve their communication skills. The present study aimed to examine the association between past workshop attendance and nurses' attitudes toward feedback from community residents. We conducted a questionnaire survey with 723 public health nurses in Fukushima and analyzed differences in feedback acceptance, work environment, basic characteristics, and health literacy levels between health literacy workshop attendees and non-attendees. Among 582 respondents, 19.4% were past attendees and showed a higher likelihood of accepting feedback from community residents (amount: adjusted odds ratio [aOR] = 1.87, 95% confidence interval [CI]: 1.21-2.88; specificity: aOR = 1.69, 95%CI: 1.09-2.61; satisfaction: aOR = 2.34, 95%CI: 1.50-3.65) than did non-attendees after adjusting for other variables. Furthermore, work engagement was associated with positive feedback acceptance (amount: aOR = 1.43, 95%CI: 1.03-1.98; specificity: aOR = 1.57, 95%CI: 1.12-2.20; satisfaction: aOR = 1.97, 95%CI: 1.38-2.81). We note the importance of creating a better work environment as well as a training system at the organizational level that encourages public health nurses to learn about health literacy and to improve their communication skills. This could improve professional/community relationships, increase the accessibility of health information for the public, and ultimately improve community health.

Unreliable Information as a Risk Factor for Worse Mental Fatigue among Residents in Fukushima after the Nuclear Power Station Accident.

After the Fukushima nuclear accident in 2011, there was confusion among the public caused by uncoordinated information about radiation provided by diverse channels. We explored the association between information sources regarding reconstruction progress after the disaster and mental fatigue in Fukushima. We used data from the annual public opinion survey by the Fukushima Prefectural Government on its policies from 2013 to 2015, which contained survey responses from 1,300 community residents randomly selected from the 28 municipalities in the Fukushima Prefecture. The survey contained a question assessing mental fatigue: "How often do you usually feel mentally tired or depressed?" In total, 2,130 participants (758 participants in 2013, 699 participants in 2014, and 673 participants in 2015) were analyzed. The respondents were classified as two categories, "high mental fatigue" and "low mental fatigue," based on their responses to this question. Overall, the proportion of participants with high mental fatigue was 13.2%. There was no association between the year of survey or occupation and high mental fatigue. Cluster analysis was performed to classify information sources. Then, we conducted a cross-sectional analysis of the associations between clusters of information sources and high mental fatigue. We found that unreliable information sources, such as "Internet" and "a combination of TV, radio, and word of mouth," were significantly associated with high mental fatigue, compared with reliable information sources, such as "municipal public relations in addition to major media (newspaper, TV, and radio)." These findings provide important insights into how information sources affect mental fatigue following a disaster.

Trends in the Incidence of Sudden Deaths and Heart Diseases in Fukushima After the Great East Japan Earthquake.

On March 11, 2011, a great earthquake, known as the Great East Japan Earthquake, hit northeastern Japan, resulting in a tsunami that caused a nuclear disaster, the Fukushima Daiichi Nuclear Power Plant accident, forcing about 160,000 people to evacuate. We, therefore, sought to examine the effects of this evacuation on the onset of cardiovascular diseases and sudden death (SD) in Fukushima Prefecture, three years after the earthquake. We divided the evacuation zone into two areas, whole evacuation zone (Area 1) and partial evacuation zone (Area 2), and we defined the north district of the prefecture as the control area (Area 3). We cross-referenced the death certificate data with data from the Fukushima Prefecture acute myocardial infarction registration survey. For each area, we tallied the number of people who fell into the SD, myocardial infarction (MI), and MI suspected groups. We calculated the age-adjusted incidence rates and analyzed the differences in the adjusted incidence rates across three years using a Poisson regression model. The age-adjusted death rate of the SD group was significantly higher in 2011 in all areas than in 2012 or 2013 (P < 0.05). The total death rate was higher in Area 1 in March 2011, just after the disaster, than in the other two areas. The rate of SD was also higher in Area 1 than in the other areas in March 2011. The incidence of sudden cardiac death might have increased just after the Great East Japan Earthquake in the evacuation area, but not in other areas in Fukushima Prefecture.

Association Between Health Literacy and Understanding of Doctors' Explanations: The Yamagata Study.

BACKGROUND: In Japan, the doctor-patient relationship has traditionally been characterized by a power imbalance that may contribute to communication gaps. To date, however, the link between patients' health literacy levels and their understanding of doctors' explanations of medical conditions and treatment has yet to be fully examined in Japan. OBJECTIVE: The purpose of this study was to investigate the association between patients' health literacy level and their understanding of doctors' explanations. METHODS: This was a cross-sectional study analyzing data derived from 11,217 questionnaires collected in July 2021 from participants of the Yamagata Study, a community-based cohort study implemented by Yamagata University since 2009. KEY RESULTS: The results showed lower health literacy was associated with poorer understanding of physicians' explanations, adjusting for potential confounding factors. In addition to low health literacy, factors associated with lower comprehension were being male, not having a regular family doctor, and having lower self-perceived levels of health and happiness. CONCLUSIONS: The results suggest that health care professionals need to communicate with patients according to their health literacy level and ensure they fully understand their medical condition and treatment. Medical providers need to create a better health-literate environment to enable patients and families to make decisions by themselves. [HLRP: Health Literacy Research and Practice. 2024;8(3):e175-e183.].

PLAIN LANGUAGE SUMMARY: We investigated the relationship between health literacy and understanding of doctors' medical explanations among participants of the Yamagata Study. The results showed lower health literacy was associated with poorer understanding of doctors' explanations. Health care providers and organizations should consider their patients' health literacy levels when communicating information and ensure that patients fully understand their medical condition and treatment.

Potential Risk Factors to COVID-19 Severity: Comparison of SARS-CoV-2 Delta- and Omicron-Dominant Periods.

BACKGROUND: Continued study of risk factors can inform future pandemic preparedness and response. We aimed to determine the potential risk factors of COVID-19 severity among patients admitted to the hospital during the Delta- and Omicron-dominant periods. METHODS: We utilized the J-SPEED-style COVID-19 Hospital version, a pre-administered questionnaire, to collect data from hospitals in Hiroshima Prefecture between 8 August 2021 and 19 April 2022. RESULTS: During the Delta-dominant period, patients aged over 65 (OR = 2.59, 95% CI = 1.75-3.84), males (OR = 1.42, 95% CI = 1.12-1.81) and with BMI exceeding 25 (OR = 1.99, 95% CI = 1.57-2.52), diabetes (OR = 2.03, 95% CI = 1.40-2.95), and those with fewer than two doses of vaccine (OR = 2.39, 95% CI = 1.46-3.91) were at a greater risk of severe COVID-19 compared to those without these risk factors. During the Omicron-dominant period, significantly greater severity was observed among patients over 65 years old (OR = 3.89, 95% CI = 2.95-5.12), males (OR = 1.76, 95% CI = 1.40-2.21), those with high blood pressure (OR = 1.30, 95% CI = 1.02-1.65), and mental disorder (OR = 2.22, 95% CI = 1.69-2.92) compared to patients without these risks. CONCLUSIONS: Our findings indicate that risk factors vary across different SARS-CoV-2 variants. Examining variant-specific risk factors for COVID-19 severity can aid policymakers, public health specialists, and clinicians in prioritizing screening, treatment, and vaccination efforts, especially during potential healthcare resource shortages.

Effectiveness of COVID-19 mRNA vaccine in preventing infection against Omicron strain: Findings from the Hiroshima Prefecture COVID-19 version J-SPEED for PCR center.

BACKGROUND AND PURPOSE: Despite the widespread adoption of various preventive measures since the spread of COVID-19, there remains a lack of consensus on universally acknowledged best practices. However, the significance of vaccination has risen to prominence as a paramount preventive strategy. Numerous investigations have demonstrated vaccine effectiveness against the omicron strain in severe disease and symptomatic disease, however, the scope of research pertaining to vaccine effectiveness in preventing infection is presently limited. Therefore, the current study aimed to evaluate COVID-19 mRNA (Pfizer-BioNTech BNT162b2 or Moderna mRNA-1273) vaccine effectiveness in preventing infection. METHODS: We conducted a test-negative case-control study using a dataset of 117,335 individuals. These data were collected through the COVID-19 J-SPEED form in the PCR center at Hiroshima Prefecture, Japan from 1 February to 17 March 2022. We estimated propensity score matching for vaccine status based on participants' demographic characteristics. Subsequently, odds ratio was calculated from logistic regression to determine the association between vaccination status and test positivity rate adjusting for symptoms, exposure to close contact, and previous infection history. Vaccine effectiveness was defined as (1 -aORs) ×100%. RESULTS: The PCR test positivity rates were 7.9%, 4.5%, and 2.8% for the non-vaccinated (non-vaccinated, vaccinated with a single dose, and vaccinated with two doses less than 14 days ago), vaccinated with two doses (vaccinated over 14 days ago), and three doses, respectively. In unadjusted and adjusted analyses, vaccine effectiveness of two doses against infection were 38.5% (95% confidence interval [CI]: 32.8%-43.8%) and 34.7% (95%CI: 28.4%-40.4%), respectively, compared to non-vaccinated group. Vaccine effectiveness of three doses were 33.8% (95%CI: 25.0%-41.5%) and 26.4% (95%CI: 16.4%-35.2%), respectively, compared to those vaccinated with two doses. CONCLUSIONS: These results illustrate the protective effect of mRNA vaccines against Omicron strain infections and emphasize the significance of completing the suggested vaccination schedule.

Vaccination Status, Vaccine Awareness and Attitudes, and Infection Control Behaviors of Japanese College Students: A Comparison of 2021 and 2023.

Background: Now that the spread of COVID-19 has been controlled, it is important to investigate changes in young people's perceptions of the vaccine and their behavior toward infection. The objectives of this study were as follows: (1) to investigate the association between Omicron strain vaccination rates among college students, their perceptions of the vaccine, and past adverse reactions to the vaccine; (2) to compare 2021 (when COVID-19 was spreading) and 2023 (when COVID-19 was strained) to identify changes in attitudes toward vaccination and motivations for vaccination and changes in infection prevention behavior. Methods: This cross-sectional survey was conducted via e-mail from 5 January to 30 January 2023. All students at Hiroshima University were sent an e-mail, which provided them access to the survey form and requested their cooperation. The questionnaire consisted of 33 items related to attributes, vaccination status, adverse reactions after vaccination, motivation for vaccination, perception of the vaccine, presence of coronavirus infection, sequelae, and infection prevention measures. Results: A total of 1083 students responded to the survey. Over 50% of the students were vaccinated with the Omicron booster. Regarding trust in vaccines, the majority of both male and female respondents said they had some trust in vaccines, although this was less than that observed in the 2021 survey. As for infection control measures, only 2% of males and 0.3% of females answered that they did not take any infection control measures. The most common response was "wear a mask", as in the 2021 survey, with 476 men (96.6%) and 575 women (99.5%). Conclusions: The survey showed a high Omicron-responsive vaccination rate of more than 50%. In addition, more than 99% of the students were found to be taking measures to prevent infection, such as wearing masks.

Exploring the Gender and Age Demographics of Patients Treated by Emergency Medical Teams during Disasters.

BACKGROUND: Standardized health-data collection enables effective disaster responses and patient care. Emergency medical teams use the Japan Surveillance in Post-Extreme Emergencies and Disasters (J-SPEED) reporting template to collect patient data. EMTs submit data on treated patients to an EMT coordination cell. The World Health Organization's (WHO) EMT minimum dataset (MDS) offers an international standard for disaster data collection. GOAL: The goal of this study was to analyze age and gender distribution of medical consultations in EMT during disasters. METHODS: Data collected from 2016 to 2020 using the J-SPEED/MDS tools during six disasters in Japan and Mozambique were analyzed. Linear regression with data smoothing via the moving average method was employed to identify trends in medical consultations based on age and gender. RESULTS: 31,056 consultations were recorded: 13,958 in Japan and 17,098 in Mozambique. Women accounted for 56.3% and 55.7% of examinees in Japan and Mozambique, respectively. Children accounted for 6.8% of consultations in Japan and 28.1% in Mozambique. Elders accounted for 1.32 and 1.52 times more consultations than adults in Japan and Mozambique, respectively. CONCLUSIONS: Study findings highlight the importance of considering age-specific healthcare requirements in disaster planning. Real-time data collection tools such as J-SPEED and MDS, which generate both daily reports and raw data for in-depth analysis, facilitate the validation of equitable access to healthcare services, emphasize the specific needs of vulnerable groups, and enable the consideration of cultural preferences to improve healthcare provision by EMTs.