Restless legs syndrome variants: A systematic review.

Introduction: Restless Legs Syndrome (RLS) is a clinical syndrome that may manifest itself in non-leg parts of the body as well, called RLS variant, which is considered a distinct entity by some researchers. In this systematic review, we tried to evaluate various clinical features and effective treatments of RLS variants and compare them with that of typical RLS. Methods: This study was conducted following the PRISMA guideline. The primary search was performed in the data resources of Medline (PubMed), Web of Science, and Scopus, as well as the Google Scholar search engine. The required data were extracted from the studies. Results: In this review, 1565 studies were initially identified and finally 39 studies were selected. The most common RLS variants were observed to involve hands, head, abdomen, and genitalia. These patients mostly complained of sleep disturbance and feelings of itching, tingling and twitching. Supportive diagnostic criteria of RLS including familial history of RLS, periodic limb movements during sleep (PLMS) and response to treatment with dopaminergic agents were assessed. Conclusion: It seems that patients with RLS variant can undergo the same diagnostic and therapeutic work-up as patients with conventional RLS. It is suggested that these two disorders fall into the same syndromic spectrum.

A systematic review and meta-analysis of musculoskeletal disorders among firefighters.

INTRODUCTION: Due to the nature of their job, firefighters face many ergonomic risk factors and are exposed to several musculoskeletal disorders (MSDs). The aim of this systematic review and meta-analysis was to investigate the prevalence of MSDs among firefighters. MATERIALS AND METHODS: This study was conducted based on preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The literature search was conducted in the databases of PubMed, Scopus, Web of Science, Science Direct, SID, ISC and Google Scholar without applying a time limitation until the end of July 2022. The random effects model was used for meta-analysis, and the I2 index was used to check heterogeneity among studies. The data were analyzed using STATA version 14 software. RESULTS: The primary literature searches in the databases identified 1,291 articles, 26 of which were entered the meta-analysis stage after screening, study selection, and quality assessment, including 36,342 firefighters. Based on the results of a meta-analysis, the overall prevalence of MSDs among firefighters was 46.39% (95% CI: 32.45-60.32, I2 = 99.7%, P < 0.001). The prevalence of MSDs was also investigated at neck (18.36%), low back (34.32%), shoulder (18.68%), hands (7.43%), upper back (10.15%), knee (19.97%) and foot (6.66%). CONCLUSION: Considering the relatively high prevalence of MSDs among firefighters and their higher exposition to specific job-related risk factors of MSDs compared to other professions, it is suggested to provide firefighters with appropriate training, implement ergonomic interventions, and regularly screen them to reduce MSDs.

Post-traumatic stress disorder among COVID-19-affected high-risk cardiac patients.

BACKGROUND: During the first coronavirus disease 2019 (COVID-19) wave there was a high prevalence of mental health impairments and post-traumatic stress disorder (PTSD), particularly in patients with comorbid cardiac diseases. METHODS: During waves 2-5, all hospitalized patients with cardiac problems and suspected COVID-19 were eligible to participate in this study. RESULTS: The prevalence of PTSD was 31.4% (n=48) in 153 participants. No age- and gender-related differences for PTSD were found. CONCLUSIONS: The prevalence is lower than during the first wave but higher than in patients reported in other studies who were isolated at home. Routine mental health assessments are strongly recommended for patients at risk.

Design and psychometric evaluation of health system intervention assessment tools for children in floods.

BACKGROUND: Flood is one of the most frequent disasters in Iran, which has highly affected the population and consequences on the health system. Children as the most vulnerable group too need to receive health services during floods. The aim of the present study was to develop a national tool for evaluating the provision of health services to children in floods. MATERIAL AND METHODS: This study is a sequential-exploratory mixed method study that consists of two qualitative and quantitative stages. The qualitative part includes the analysis of documents and panel of experts while the quantitative part includes the design and validation of the tools. RESULTS: In this study, organizations providing health services to children were first identified, and according to their mission the relevant items were extracted and the initial checklist was designed. Then validity and reliability of the tools were done. The content validity ratio and content validity index for the tool were 59 and 98%, respectively. Cronbach's alpha and intraclass correlation coefficient were determined as 0.7 and 0.964, respectively. The final tool was presented with 64 items. CONCLUSIONS: The response program, the scope of interventions, service coverage, and the effectiveness of the response after the flood can help reduce the risk of disasters in children. Using the assessment tool of evaluating the health services to children can assist the stakeholder organizations to meet the standards and best quality of services. Assessing the needs of the children affected by floods, identifying the strengths and weaknesses of health services, and proposing corrective strategies according to the information extracted from this tool are other achievements of this study.

Association between different dimensions of anger and symptoms of post-traumatic stress disorder in at-risk cardiovascular patients during the COVID-19 pandemic.

Introduction: The common connecting factor between PTSD and cardiovascular diseases lies in the disruption of the stress processing system. The COVID-19 pandemic has led to an increase in stress levels worldwide. Due to the life-threatening situation of affected risk patients, this also led to the accumulation of post-traumatic stress symptoms (PTSS). The influence of anger on cardiovascular diseases has hardly been investigated so far. The focus of this study is on anger regulation in cardiovascular risk patients. The COVID-19 pandemic is considered as an additional stressor in this study, but not as a separate entity. The hypothesis is that individuals with inward anger are more prone to post-traumatic stress disorder (PTSD). Methods: As part of the routine examination, all patients who were hospitalized between January 1st, 2021 and May 31st, 2022 with high-risk cardiovascular diseases were included. A total of N = 153 (84.1%) subjects participated in the study. On admission, anger (STAXI-2) and PTSD (PCL-5) were assessed using questionnaires. The relationship between different domains of anger and PTSS was examined. Results: Inwardly directed anger was more pronounced in this population than in a standard sample (+1 SD) and had a significant impact on the presence of PTSD (B = -0.72, p < 0.001). Additionally, correlations were found between inward-directed anger and PTSD, as well as all other anger expressions studied and the PTSD total score. Discussion: It can be assumed that anger and its regulation are relevant factors for both cardiac diseases and PTSD. The study results can be used for prevention, rehabilitation and therapeutic measures. However, the impact of inner anger on PTSD is theoretical and based on statistical testing. A confirmatory longitudinal study is needed to substantiate these results.

Comparison of machine learning algorithms to predict intentional and unintentional poisoning risk factors.

Introduction: A major share of poisoning cases are perpetrated intentionally, but this varies depending on different geographical regions, age spectrums, and gender distribution. The present study was conducted to determine the most important factors affecting intentional and unintentional poisonings using machine learning algorithms. Materials and methods: The current cross-sectional study was conducted on 658 people hospitalized due to poisoning. The enrollment and follow-up of patients were carried out during 2020-2021. The data obtained from patients' files and during follow-up were recorded by a physician and entered into SPSS software by the registration expert. Different machine learning algorithms were used to analyze the data. Fit models of the training data were assessed by determining accuracy, sensitivity, specificity, F-measure, and the area under the rock curve (AUC). Finally, after analyzing the models, the data of the Gradient boosted trees (GBT) model were finalized. Results: The GBT model rendered the highest accuracy (91.5 ± 3.4) among other models tested. Also, the GBT model had significantly higher sensitivity (94.7 ± 1.7) and specificity (93.2 ± 4.1) compared to other models (P < 0.001). The most prominent predictors based on the GBT model were the route of poison entry (weight = 0.583), place of residence (weight = 0.137), history of psychiatric diseases (weight = 0.087), and age (weight = 0.085). Conclusion: The present study suggests the GBT model as a reliable predictor model for identifying the factors affecting intentional and unintentional poisoning. According to our results, the determinants of intentional poisoning included the route of poison entry into the body, place of residence, and the heart rate. The most important predictors of unintentional poisoning were age, exposure to benzodiazepine, creatinine levels, and occupation.

Workplace violence against health care workers during the COVID-19 Pandemic: A systematic review and meta-analysis.

INTRODUCTION: During the COVID-19 pandemic, Health Care Workers (HCWs) have been at the frontline against the disease and have direct contact with patients and their companions, so they are exposed to all sorts of Workplace Violence (WPV). The aim of this study was to investigate the prevalence of WPV against HCWs during the COVID-19 pandemic. METHOD: This study was conducted according to the PRISMA guideline, and its protocol was registered at the PROSPERO under the code of CRD42021285558. Articles were obtained from data resources such as Scopus, PubMed, Web of Science, Science Direct, Google Scholar, and Embase. A literature search was conducted from the beginning of 2020 to the end of December 2021. Meta-analysis was conducted using the Random effects model, and the I2 index was used to check the heterogeneity. RESULTS: In this study, 1,054 articles were initially obtained during the primary search, of which 13 were finally entered in the meta-analysis. According to the results of the meta-analysis, the prevalence of physical and verbal WPV were 10.75% (95% CI: 8.20-13.30, I2 = 97.8%, P = 0 < 001) and 45.87% (95% CI: 36.8-54.93, I2 = 99.6%, P = 0 < 001), respectively. The overall prevalence of WPV was obtained, 45.80% (95% CI: 34.65-56.94, I2 = 99.8%, P = 0 < 001) were reported. CONCLUSION: The results of the present study showed that the prevalence of WPV against HCWs was relatively high during the COVID-19 pandemic; nevertheless, it was lower compared to the area prior to the pandemic. Therefore, HCWs need essential training to reduce stress and increase resilience. Also, considering organizational interventions (including policies to ensure that HCWs report WPV to their supervisors, increasing staffing per patient, and installing systems for HCWs to call for immediate assistance) can increase the resilience HCWs.

Deep Vein Thrombosis After Earthquake: A Systematic Review and Meta-analysis.

OBJECTIVE: Among natural disasters, earthquake is associated with heavy fatalities and financial damages, causing considerable mortality. The complications resulting from getting trapped in rubble, secondary traumas, obligation to reside in temporary shelters, along with other factors such as limited mobility, stress, and dehydration, predispose earthquake survivors to Deep Vein Thrombosis (DVT). The aim of the present study is to investigate the rate of DVT after an earthquake using a systematic review and meta-analysis. METHODS: To perform the present study, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used. The protocol of this review study has been registered in the International Perspective Register of Systematic Review (PROSPERO) with the code of CRD42021290375. Credible data resources including PubMed, Scopus, Web of Science, Science Direct, Google Scholar, Magiran, SID, and Embase were used for extracting relevant studies. Random effect model was used to perform the meta-analysis. I2 was ritualized to investigate heterogeneity across the studies. Publication bias of studies was evaluated using the Begg test. RESULTS: In this study, 267 primary studies were identified and extracted. After removing the duplicate ones and the screening, eventually 12 final studies were chosen for the meta-analysis. Based on the meta-analysis results, the total rate of DVT was 9.07% (95% confidence interval [CI]: 7.32-10.81; I2 = 97.9%; P = 0<0.001). Analysis of DVT in the subgroups of the general population and patient survivors were 11.43% (95% CI: 9.06-13.79; I2 = 98%; P = 0<0.001) and 2.51% (95% CI: 0.04-4.63; I2 = 77.7%; P = 0.001). Also, based on the Begg test, the publication bias in the chosen studies was not considerable. CONCLUSIONS: DVT rate in earthquake survivors is higher compared with other disasters, and over time it finds a growing trend. After earthquake, the focus of rescue and health-care teams is on individuals with observable injuries and damages. Because DVT is first asymptomatic but has fatal consequences, including pulmonary embolism and sudden death, it should be incorporated in health's status assessment of earthquake-stricken people as well as screening and diagnostic programs of health-care providers.

Post-traumatic stress disorder in medical workers involved in earthquake response: A systematic review and meta-analysis.

Introduction: Medical workers involved in responding to the earthquake are exposed to frightening scenes and witness dead bodies and severely injured moaning people, predisposing them to multiple mental health consequences. This study was aimed to determine the prevalence of Post-Traumatic Stress Disorder (PTSD) after earthquakes among medical workers using a systematic review and meta-analysis. Materials and methods: The review study was performed following PRISMA guidelines, and the study's protocol was registered in PROSPERO with the code CRD42022333069. The data resources of Google Scholar, Science Direct, Web of Science, PubMed, and Scopus were searched to specify the related studies. To perform meta-analysis, the random effects model was utilized, and the I2 index was considered to assess heterogeneity between studies. The STATA software was used for data analysis. Results: In the initial data resources search, 1399 articles were identified. From these articles, 13 were finally chosen for meta-analysis and quality assessment. The meta-analysis results indicated that the prevalence of post-earthquake PTSD among medical workers involved in the earthquake response was 16.37% (95% CI: 11.63-21.11, I2 = 97.33%, p = 0 < 0.001). Conclusion: The medical workers involved in response to the earthquake have a relatively high risk of PTSD in the short and long term. Therefore, medical workers involved in response to disasters should undergo screening for mental health disorders before and after disasters and receive the necessary training with regard to stress management, psychological resilience, and how to express their feelings and emotions.

High Risk-pregnant Women's Experiences of Risk Management: A Qualitative Study.

Background: Maternal and fetal morbidity and mortality depend on identifying of pregnancy risks and risk management. There is a dearth of information about the experiences of high-risk pregnant mothers in self-mitigation of the risk in the socio-cultural setting of Iran. This research was conducted to explore the risk management experiences of high-risk pregnant mothers. Methods: This Qualitative study was conducted in educational hospitals in Mashhad, Iran, from July 2018 to December 2020. The purposive sampling method was used to recruit the participants based on medical or obstetric high-risk conditions in pregnancy. Qualitative data were obtained from in-depth and semi-structured 29 interviews. Mothers' experiences of pregnancy in a risky condition were asked, and the interview continued until data saturation. Data were analyzed using the MAXQDA 10 software and the Elo and Kyngäs method. Results: Maternal experiences for risk management in pregnancy were formed by nine sub-categories and three categories: the excitement of emotion including: "feeling worry and despair", "gladness in the shadow of hope and optimism", "momentary shocking and excitement", and "inactivity and helplessness"; self-contemplation including: "active analysis of the ways of moderating the risk", "cognitive denial", and "ignoring the risk"; and witnessed action including: "problem-focused and rational actions", and "avoidance and inefficient engagements". Conclusion: Risk management experiences of pregnant women with high-risk pregnancies include a wide range of positive and negative feelings, effective and ineffective thoughts, and behaviors. Mutual collaboration between mothers and midwives/obstetricians by providing high-quality risk management counseling can lead to choosing effective risk management strategies.

Personal protective equipment-associated headaches in health care workers during COVID-19: A systematic review and meta-analysis.

Introduction: Health Care Workers (HCWs) use Personal Protective Equipment (PPE) during the COVID-19 pandemic to protect themselves and prevent the transmission of the disease. The use of PPE, especially respiratory masks, has adverse consequences, including headaches, which have been secondary and unusual. The aim of the present systematic review and meta-analysis study was to investigate the prevalence of PPE-associated headaches in HCWs during COVID-19 pandemic. Methods: The present review study was performed based on the PRISMA guideline. The protocol of the present study was registered in PROSPERO with the code CRD42022304437. Valid data resources such as Scopus, PubMed, Web of Science, Science Direct, Google Scholar, Embase were used to identify and extract relevant studies. The searches were conducted between the beginning of 2020 and the end of January 2022. A random effects model was used for meta-analysis and I 2 index was used to investigate between-study heterogeneity. Data were analyzed using STATA ver. 14. Results: A total of 539 articles were first identified through initial search and finally 26 final studies were selected to undergo the meta-analysis phase. According to the results of meta-analysis, the prevalence of headache after and before the use of PPE was 48.27% (95% CI: 40.20-56.34, I 2 = 99.3%, p = 0 < 001) and 30.47% (95% CI: 20.47-40.47, I 2 = 97.3%, p = 0 < 001), respectively. Conclusion: The results of the present study showed that the prevalence of PPE-associated headache in HCWs was relatively high, so, the use of PPE during COVID-19 pandemic can be considered as one of the causes of headache. Therefore, management strategies such as regular screening of HCWs for headaches and regular rest periods without the use of PPE can be effective in reducing the prevalence of headaches.

Using Artificial Intelligence for Predicting the Duration of Emergency Evacuation During Hospital Fire.

OBJECTIVE: A danger threatening hospitals is fire. The most important action following a fire is to urgently evacuate the hospital during the shortest time possible. The aim of this study was to predict the duration of emergency evacuation following hospital fire using machine-learning algorithms. METHODS: In this study, the real emergency evacuation duration of 190 patients admitted to a hospital was predicted in a simulation based on the following 8 factors: the number of hospital floors, patient preparation and transfer time, distance to the safe location, as well as patient's weight, age, sex, and movement capability. To design and validate the model, we used statistical models of machine learning, including Support Vector Machines Random Forest, Naive Bayes Classifier, and Artificial Neural Network. RESULTS: Data analysis showed that based on the Area Under the Curve, precision, and sensitivity values of 99.5%, 92.4%, and 92.1%, respectively, the Random Forest model showed a better performance compared to other models for predicting the duration of hospital emergency evacuation during fire. CONCLUSION: Predicting evacuation duration can provide managers with accurate information and true analyses of these events. Therefore, health policy makers and managers can promote preparedness and responsiveness during fire by predicting evacuation duration and developing appropriate plans using machine learning models.

Prevalence of workplace violence against health care workers in hospital and pre-hospital settings: An umbrella review of meta-analyses.

Introduction: Workplace violence (WPV) is associated with adverse consequences for patients and health care workers (HCWs). The aim of this study was to assess the prevalence of WPV against HCWs in the hospital and pre-hospital settings. Methods: Using PRISMA guidelines, data resources including Scopus, PubMed, Web of Science, and Google Scholar were used for the search. The searches were conducted without any time limit until the end of December 2021. The random-effects model was used for this meta-analysis. I 2 index was used to examine heterogeneity and the Egger test was used to examine publication bias. Results: Of the 255 studies identified, 14 studies entered the umbrella review. The overall prevalence was as follows: WPV (58.7%); physical violence (20.8%); verbal violence (66.8%); and sexual harassment (10.5%). Conclusion: The prevalence of WPV and its types against HCWs is relatively high. WPV is associated with physical, psychological, and occupational consequences. Measures should be taken to reduce the consequences of WPV.

A qualitative content analysis for determining indexes and factors affecting for evaluation of disaster exercises immediate feedback stage.

BACKGROUND: Taking exercise in health sector is one of the important steps to implement the disaster risk management programs, especially preparedness phase. The present study aimed to identify indexes and factors affecting successful evaluation of disasters preparedness exercises in hot wash stage. MATERIALS AND METHODS: This study was a qualitative content analysis. Data were collected by purposeful sampling through in-depth and semi-structured individual interviews with 25 health professionals in the field of disasters. The data were analyzed using directed content analysis method by which the initial codes were extracted after transcribing the recorded interviews and immersing them in the data analysis. The initial codes were reviewed, classified, and subdivided into several stages to determine the main classes. RESULTS: The data analysis resulted in the production of 24 initial codes, 5 subcategories, 2 main categories of "evaluation and exercise debriefing" and "modification of programs and promotion of exercise operational functions" under the original theme of "exercise immediate feedback." CONCLUSION: This study can be considered a suitable standard guide for health care organizations to evaluate successfully disasters exercises in hot wash stage, maintain and promote their preparedness, and properly respond to disasters.

Prevalence of Post-traumatic Stress Disorder After Flood: A Systematic Review and Meta-Analysis.

Introduction: Flood as the most common kind of the natural disasters has unpleased short, medium, and long-term consequences on the victims' welfare, relationships, and physical and mental health. One of the most common mental health disorders in these victims is Post-traumatic stress disorder (PTSD). The aim of this study is to investigate the prevalence of PTSD on the flood victims. Methods: Data resources including PubMed, Scopus, Web of Science, Science Direct, Embase, Google Scholar, conference and congress papers, key journals, the reference list of selected articles as well as systematic reviews were searched to identify studies that reported the prevalence of PTSD in flood victims. Random Effect Model was used to perform meta-analysis of the studies. Cochran test and I2 indicator were used to explore heterogeneity between the studies. Publication bias of the study was evaluated using Begg'test. Data were analyzed by STATA (version 14) software. Results: After a comprehensive search, 515 papers were extracted. After eliminating duplicates and final screening, 23 studies were selected and entered the meta-analysis phase after qualitative evaluation. The results showed that the prevalence of PTSD in flood victims is 29.48% (95% CI: 18.64-40.31, I2 = 99.3%, p-value < 0.001). Conclusion: The results of the present study showed that the prevalence of PTSD is relatively high in the flood victims. So, it is necessary to take preventive, supportive, therapeutic and effective actions for them.

Challenges and Barriers to the Participation of Non-Governmental Organizations (NGOs) in Flood Management: A Qualitative Study from Iran.

OBJECTIVE: Floods are one of Iran's most important natural hazards, which cause a lot of damage every year. Various organizations, including non-governmental organizations (NGOs), participate in flood management. The present study aimed to explore the challenges and barriers of NGOs' participation in the management of the flooding in Iran based on stakeholders' experiences. METHODS: This qualitative study is a case study that was conducted using the content analysis approach. Fifteen participants, including 3 national managers, 2 volunteers active in responding to recent floods, and 10 NGO managers/secretaries who had the knowledge or operational experience of participating in disaster management, were approached for interviews. Data were collected using a purposeful sampling method and continued until reaching data saturation. RESULTS: Challenges and barriers to NGOs' participation in flood management were categorized into 4 main categories and 14 subcategories, including policy-making challenges, managerial challenges, executive challenges, and socio-cultural challenges. CONCLUSIONS: As multiple NGOs take part in responding to disasters and performing relief operations, establishing a unified command and supervision system for effective coordination and collaborations among NGOs and other stakeholders is highly suggested. Further research is needed to develop a measurement tool for assessing the effectiveness of NGOs' activities during disasters.

Identifying and Explaining the Components Affecting for Design Preparedness Exercises of the Health System in Emergencies and Disasters: A Quality Content Analysis.

OBJECTIVE: Running exercise courses in different sectors of the health system is one of the important steps to prepare and deploy disaster risk management programs. The present study aimed to identify and explain the components affecting the design of preparedness exercises of the health system in disasters. METHODS: This study was a qualitative content analysis. Data were collected by purposeful sampling through in-depth and semi-structured individual interviews with 25 health professionals in disasters who had experience in designing, implementing, and evaluating an exercise. The data were analyzed using the content analysis method. RESULTS: The data analysis resulted in the production of 50 initial codes, 12 subcategories, 4 main categories of "Coordination, Command, and Guidance of Exercise," "Hardware and Software Requirements of Exercise," "Organizational Exercise Resources," and "Communication and Exercise Public Information" with the original theme of "Exercise Design." CONCLUSION: This study provides a clear picture and rich, constructive information on the concept of designing health system preparedness exercises in disasters. The findings of this study can greatly increase the attention of senior managers in all areas of health, especially managers of prehospitals and hospitals who are in the front line of the response to disasters to design standard and scientific preparedness exercises.

Prevalence of postpartum depression in women amid the COVID-19 pandemic: A systematic review and meta-analysis.

COVID-19 outbreaks appear to be related to exacerbation of psychological problems such as depression and anxiety in high-risk population such as pregnant women and the postpartum period due to stress and life-threatening illnesses. The aim of this study was to evaluate the prevalence of postpartum depression (PPD) during COVID-19. This study protocol is registered in PROSPERO with CRD42021278425 code. Data sources including Google Scholar, ISC, Magiran, Scopus, PubMed, Embase, and Web of Science and reference list of included articles were used to identify related studies. Observational studies that reported the prevalence of PPD in both Persian and English during COVID-19 between January 20, 2020 and August 31, 2021 were included. Data were collected and analyzed with a random effects model for meta-analysis. In this study, 671 initial articles were identified and after removing duplicates, 454 studies were screened and finally 24 studies entered the meta-analysis stage. According to this study results PPD based on Edinburgh Postnatal Depression Scale (EPDS) ≥9, EPDS ≥10, EPDS ≥11, EPDS ≥12, EPDS ≥13, Postpartum Depression Screening Scale-Short Form (PDSS-SF) ≥17 and total prevalence was reported 12% (95% confidence interval [CI] = 0.07-17, I2  = 97%), 27% (95% CI = 15-39, I2  = 99%), 44% (95% CI = 40-49, I2  = 0.0%), 27% (95% CI = 0.06-49, I2  = 97.4%), 28% (95% CI = 18-39, I2  = 98.5%), 37% (95% CI = 32-42), 28% (95% CI = 23-33, I2  = 98.5%). The findings of this study showed that the prevalence of PPD in women is relatively high during COVID-19. Therefore, considering the psychological consequences of the COVID-19 pandemic and the importance of pregnancy and the postpartum period in terms of the emergence of mental disorders, especially depression, it seems necessary to perform interventions and physical and psychological support.

Response capability of hospitals to an incident caused by mass gatherings in southeast Iran.

BACKGROUND AND OBJECTIVES: Hospitals are expected to provide a safe environment for patients, visitors, and employees during emergencies and disasters, as well as provide health care to disaster survivors. The aim of this study was to evaluate the response capability of hospitals to an incident caused by mass gatherings (MG) in Kerman province. METHODS: This cross-sectional study was performed among hospitals of Kerman city in 2021. To collect data, the emergency response checklist-WHO (2011) was utilized with 90 questions prepared in nine domains. Data analysis was carried out using SPSS version 20 with descriptive tests. RESULTS: In this incident, 438 people were injured and 61 killed (31 women and 30 men). Of the 438 injured taken to hospitals, 193 were treated on an outpatient basis, 146 were hospitalized and 99 were treated at Advanced Medical Post (AMP) and mobile hospital in the scene. Results showed a moderate response level of hospitals to an incidence (151.50±18.28). Among the components of hospitals' response to incidence, the command and control component had the highest mean score (159.16 ± 22.39) while the surge capacity component had the lowest mean score (129.78 ± 25.21). CONCLUSION: Our hospitals faced new challenges in this incident; therefore, policymakers and executives managers of the health system in Iran should develop a comprehensive strategic plan to promote hospitals' preparedness for suitable and timely response to MG incidences and improve risk perception of mass gathering participants and hospitals personnel through training and implementing discussion and operation-based exercises.

Risk Assessment of Arbaeen Mass Gathering in the Covid-19 Pandemic.

Introduction: Arbaeen is a religious ceremony held annually with the participation of a large number of pilgrims. During the pandemic of Covid-19, a mass gathering of Arbaeen pilgrims can strengthen the transmission of this disease and put more pressure on the health care system of countries. The aim of the study is to evaluate the risk of Arbaeen ceremony in the Covid-19 pandemic in 2021. Materials and methods: A mixed method was performed to perform the study using qualitative and quantitative methods. A national risk assessment tool was used that consisted of hazard identification and assessment, scenario development, exposure assessment, vulnerability assessment and risk estimation. The national risk assessment tool was completed through a focused group discussion and the opinions of 20 representatives of the health system and the level of risks were estimated. Data were collected, analyzed, and integrated by the research team. Results: Based on the results of risk matrix analysis, factors such as the increase in the number of new cases of COVID-19, the probability of exposure to a new variant of COVID-19, the probability of arrival of a new variant of COVID-19 to the country, the probability of increasing referrals to healthcare facilities (score 16), the probability of getting respiratory diseases, and the environmental contamination (score 12) occupied the red area of the matrix and were found to have the highest risk (unbearable risk), that needs immediate action. Conclusion: Preparing for a mass gathering such as Arbaeen is very important in order to reduce the risk of communicable disease, and the first step in improving preparedness is risk assessment and its continuity in the various stages of the ceremony. Therefore, policy makers and planners of such events should conduct risk assessments with the participation of local and national public health authorities regularly.