Disasters disproportionately affect vulnerable populations, necessitating specialized support through welfare shelters, which offer tailored care for those with special needs. Despite their importance, comprehensive reporting on welfare shelter operations during disasters remains limited. This study aimed to analyze the establishment and operation of a welfare shelter in Wajima City, Japan, following the 2024 Noto Peninsula Earthquake, providing insights into operational processes.

The research presents a first-hand narrative account of a welfare shelter’s operation over a 3-month period. The authors, directly involved in key roles, structured the narrative around 3 phases: Initial (January 1-7, 2024), Operational (January 8-March 31, 2024), and Withdrawal (March-April 2024).

Key findings include challenges in personnel management and resource procurement during the initial phase, implementation of continuous care systems and health management in the operational phase, and difficulties in securing relocation sites for evacuees during the withdrawal phase. Challenges in maintaining nutritional balance and managing infectious diseases were observed throughout the shelter’s operation. Implementing flexible staffing strategies may serve as a practical means to support sustained welfare shelter management.

This case study highlights the importance of pre-disaster planning, broad regional collaboration, and adaptability and continuity in welfare shelter management. The study offers valuable lessons for improving welfare shelter operations and emphasizes the need for comprehensive disaster preparedness strategies including long-term care and relocation planning for vulnerable populations.

In 2017, the World Health Organization introduced an international standardized medical data collection tool for disasters, known as the Emergency Medical Team (EMT) Minimum Data Set (MDS). The EMT MDS was activated for the first time in 2019 in response to Cyclone Idai in Mozambique. The present study aimed to examine the daily and phase trends in acute mental health problems identified by international EMTs during their response to Cyclone Idai and reported using the EMT MDS.

Joinpoint regression analysis was used to examine daily trends in acute mental health consultations. Trends were also examined by phases, which were identified using joinpoints.

During the 90-day EMT response period following Cyclone Idai, 94 acute mental health consultations were reported. The daily trend analysis showed a significant increase in the daily number and percentage of acute mental health consultations from response onset until day 13, followed by a gradual decline (P<0.05). The phase trend analysis showed a consistent decrease across the identified phases (P for trend<0.001).

The findings of this study provide insight into the need for mental health support in the immediate aftermath of natural disasters and how that need may change over time.

The scoping review aims to provide an overview of the existing literature to inform an understanding of pharmacists’ roles, skills, and knowledge requirements for Emergency Medical Teams responding to disasters or humanitarian crises.

The methodology utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines, with methodology adapted by the Joanna Briggs Institute. Six databases were searched for sources published after 2000: PubMed, Mednar, Scopus, Defense Technical Information Centre, LILACS, and CINAHL. A manual search of grey literature was conducted to discover additional sources of information outside of the electronic databases.

Of the 427 initial studies and reports, 36 were selected for inclusion. Five key themes on role requirements were identified: supply chain management; establishment and operationalization of pharmacies; stakeholder communication, collaboration, and liaison; direct patient care; and response management and coordination. Each theme was delineated into subthemes linked with requisite skills and knowledge.

This scoping review identifies key roles, skills, and knowledge requirements of pharmacist contributions to Emergency Medical Teams responding to disasters or emergencies.

This study aims to assess the quality of life (QoL) of earthquake survivors who experienced 2 major earthquakes in Türkiye on February 6, 2023, with different measurement tools.

The study was conducted in 2 centers with a total of 467 participants. For QoL measurement, face-to-face Euroqol EQ-5D-5L, Euroqol Visual Analog Scale (EQ-VAS), and Nottingham Health Profile (NHP) measurement tools were used.

On the EQ-5D-5L scale, most of the participants stated that they struggled the most with the anxiety/Depression dimension. In NHP, the highest mean score is in the Emotional Reaction section. Females and the 55+ age group were found to have worse QoL. A linear and moderate correlation was found between the EQ-5D-5L index value and the EQ-VAS score; an inverse, weak, or moderate correlation was found between the EQ-VAS score and the sections of the NHP scores; an inverse and strong correlation was found between the Nottingham Health Profile Distress (NHP-D) score and the EQ-5D-5L index value.

The findings obtained with the measurement tools used in this study reveal various dimensions affecting the QoL of different cohorts. In addition, the study provides important evidence for policies to be developed to increase post-earthquake QoL.

This methodological study aimed to adapt the DLS, introduced for individuals aged 18-60 years, to those aged 60 years and older and to determine its psychometric properties.

We collected the data between December 15, 2021 and April 18, 2022. We carried out the study with a sample of 60 years and older living in the city center of Burdur, Turkey. The sample was selected using snowball sampling, a non-probability sampling technique. We collected the data using a questionnaire booklet covering an 11-item demographic information form and the DLS. We utilized reliability and validity analyses in the data analysis. The analyses were performed on SPSS 23.0, and a P value < 0.05 was considered statistically significant.

The mean age of the participants was found to be 68.29 (SD = 6.36). The 61-item measurement tool was reduced to 57 items by removing a total of 4 items from the scale. We also calculated Cronbach’s α values to be 0.936 for the mitigation/prevention subscale, 0.935 for the preparedness subscale, 0.939 for the response subscale, and 0.945 for the recovery/rehabilitation subscale.

As adapted in this study, the DLS-S can be validly and reliably used for individuals aged 60 years and older.

Treatment interruptions in disaster victims are concerning, owing to an increase in natural disasters and the growing elderly population with chronic conditions. This study examined the temporal trends in treatment interruptions among victims of 2 recent major heavy rain disasters in Japan: West Japan heavy rain in 2018 and Kumamoto heavy rain in 2020.

Data for this study were derived from the national standardized medical data collection system called the “Japan Surveillance in Post-Extreme Emergencies and Disasters.” Joinpoint regression analysis was performed to examine the daily trends in treatment interruptions reported soon after each disaster onset.

A total of 144 and 87 treatment interruption cases were observed in the heavily affected areas of the West Japan heavy rain in 2018 and Kumamoto heavy rain in 2020, respectively. In both disasters, a high number of treatment interruption cases were observed on the first day after the disaster. Joinpoint regression analysis showed that trends in the percentage of treatment interruptions differed between the 2 disasters at different disaster scales.

The findings suggest the importance of a prompt response to treatment interruptions in the immediate aftermath of a disaster and consideration of the specific characteristics of the disaster when planning for disaster preparedness and response.

A useful way to prepare the public for disasters is to teach them where to get information. The purpose of this study is to evaluate the readability and appropriateness of the content of websites prepared for the public on disaster preparedness.

In September-October 2022, we evaluated 95 disaster preparedness websites (intended for the public) using the Ateşman Readability Index, JAMA criteria, DISCERN, and a new researcher-created content comparison form. Evaluation scores were compared according to information sources.

Of the websites included in the research, 45.2% represented government institutions (GIG), 38.0% non-profit organizations (NPOG), 8.4% municipal organizations (MOG), and 8.4% other organizations (OG). Those which scored above average on the websites were 36.8% on the content evaluation, 51.6% on the DISCERN scale, 53.7% on the Ateşman Readability Index, and 55.8% on the JAMA criteria. The content evaluation form showed that the scores of the websites belonging to the MOG were higher than the scores of the other websites. Others group websites also scored higher than altered websites on the JAMA criteria.

The study revealed that websites created to increase public knowledge on disaster preparedness are not good enough in terms of readability, quality, and content.

Previous studies have reported inconsistent findings regarding the association between post-traumatic stress (PTS) and post-traumatic growth (PTG). Three major issues could account for this inconsistency: (1) the lack of information about mental health problems before the disaster, (2) the concept of PTG is still under scrutiny for potentially being an illusionary perception of personal growth and (3) the overlooking of PTS comorbidities as time-dependent confounding factors. To address these issues, we explored the associations of PTS and PTG with trauma-related diseases and examined the association between PTS and PTG using marginal structural models to address time-dependent confounding, considering pre-disaster covariates, among older survivors of the 2011 Japan Earthquake and Tsunami.

Seven months before the disaster, the baseline survey was implemented to ask older adults about their health in a city located 80 km west of the epicentre. After the disaster, we implemented follow-up surveys approximately every 3 years to collect information about PTS and comorbidities (depressive symptoms, smoking and drinking). We asked respondents about their PTG in the 2022 survey (n = 1,489 in the five-wave panel data).

PTG was protectively associated with functional disability (coefficient −0.47, 95% confidence interval (CI) −0.82, −0.12, P < 0.01) and cognitive decline assessed by trained investigators (coefficient −0.07, 95% CI −0.11, −0.03, P < 0.01) and physicians (coefficient −0.06, 95% CI −0.11, −0.02, P < 0.01), while PTS was not significantly associated with them. Severely affected PTS (binary variable) was associated with higher PTG scores, even after adjusting for depressive symptoms, smoking and drinking as time-dependent confounders (coefficient 0.35, 95% CI 0.24, 0.46, P < 0.01). We also found that an ordinal variable of the PTS score had an inverse U-shaped association with PTG.

PTG and PTS were differentially associated with functional and cognitive disabilities. Thus, PTG might not simply be a cognitive bias among survivors with severe PTS. The results also indicated that the number of symptoms in PTS had an inverse U-shaped association with PTG. Our findings provided robust support for the theory of PTG, suggesting that moderate levels of psychological struggles (i.e., PTS) are essential for achieving PTG, whereas intense PTS may hinder the attainment of PTG. From a clinical perspective, interventions that encourage social support could be beneficial in achieving PTG by facilitating deliberate rumination.