Background

Given the high incidence of coronavirus and the shortage of nurses in Iranian hospitals, nurses' intention to care for patients with COVID-19 is important. The aim of this study is to evaluate the reliability and validity of the Persian version of the nurses' intention to care scale (NICS) by Iranian nurses who care for patients with COVID-19 in hospitals.

Methods

A cross-sectional study was conducted on nurses (n= 400) at public and private Mazandaran hospitals. An online questionnaire was used that consisted of two parts: demographic variables and NICS. The scale was translated into Persian first and then validated using both construct and content validity.

Results

The findings from an exploratory factor analysis yielded six factors that explained 53.12% of the total variance of the NICS. The confirmatory factor analysis demonstrated that the model had a good fit and the inter-item correlation values of the factors indicated good internal consistency.

Conclusion

The Persian version of NICS in Iranian nurses had six factors. The results of our study add insight for nurse administrators and educators to further develop strategies to increase nurses' intention by improving positive attitudes and reducing their negative beliefs.

Aim

There has been growing concern about the nurses' turnover intention as well as life satisfaction during COVID-19 pandemic in Iran. The past research has provided evidence on the effect of organizational support on nurses' job satisfaction and turnover intention. However, little is known about the underlying mechanism behind these associations.

Design

A cross-sectional survey was undertaken.

Methods

An online survey was conducted in Iran from May to June 2020 through Google Docs Forms. In total, 305 nurses were participated and completed the online survey. Data were analysed using structural equation modelling through (AMOS). This study was checked with the STROBE checklist.

Result

The results showed that nurses' perception of organizational support was positively related to their job satisfaction which in turn decreases the turnover intention. Likewise, the job satisfaction partially mediated the relationship between organizational support and nurses' life satisfaction.

Aim and objectives

This study aims to test the hypothesis that job satisfaction and organisational commitment might play a mediating roles between workload, quality of supervision, extra-role behaviour, pay satisfaction and intention to care of patients with COVID-19.

Background

Given the high incidence of coronavirus and shortage of nurses in Iranian hospitals, learning about nurses' intention to care for patients with COVID-19 is important.

Design

In this cross-sectional study, 648 Iranian nurses were surveyed during March 2020. The online questionnaire consisted of two parts. The mediating role was explored for the following: job satisfaction and commitment in the association of workload, quality of supervisor, extra-role behaviours, and pay satisfaction with the intention to care. The study adhered to STROBE checklist for cross-sectional studies.

Results

The results of this study show that job satisfaction and organisational commitment mediated the relationship of nurses' workload, quality of supervisor, extra-role behaviours, and pay satisfaction with the intention to care for patients with COVID-19.

Conclusion

The results of the study indicate the importance of job satisfaction and organisational commitment as mechanisms that help to understand the association of nurses' workload, quality of supervisor, extra-role behaviours and pay satisfaction with the intention to care during the COVID-19 pandemic.

Relevance to clinical practice

Hospital managers need to attend to the role of nurses' job satisfaction and other organisational factors to ensure that they can cope with the challenges of the COVID-19 pandemic.

Background: The coronavirus pandemic can cause unprecedented global anxiety, and, in contrast, resilience can help the mental health of people in stressful situations. This study aimed to assess anxiety, hyperarousal stress, the resilience of the Iranian population, and their related factors during the coronavirus disease 2019 (COVID-19) epidemic. Methods: A cross-sectional study was conducted in 31 provinces in Iran between March 18 and 25, 2020. A four-part questionnaire, including the demographic information, the State-Trait Anxiety Inventory (STAI-y1-a 20-item standard questionnaire for obvious anxiety), the Connor-Davidson Resilience Scale (CD-RISC-a 25 item standard questionnaire), and the stress hyperarousal subscale from the Impact of Event Scale-Revised (IES-R), was used to collect data. The ordinal multivariable generalized estimating equation (GEE) model was used to identify correlates of the psychological factors mentioned above. The Fisher exact test was used to investigate the relationship between anxiety, stress, resilience, and the COVID-19 outbreak. All analyses were conducted with SPSS 26 and GIS 10.71. Results: The findings show that most people had moderate-to-severe anxiety (80.17%) and a high level of resilience (96.4%) during the COVID-19 epidemic. The majority of participants had a moderate level of stress (58.9%). The lowest and highest prevalences of psychiatric disorders were in Sistan and Baluchestan (3.14 cases per 100,000 people) and Semnan (75.9 cases per 100,000 people) provinces, respectively. Men and unmarried people were the only variables significantly associated with anxiety and resilience. Age, gender, and education were significantly associated with hyperarousal stress. Conclusion: The high and moderate levels of anxiety and stress in Iranians can have negative effects on the well-being and performance of the people and can lead to serious problems. Also, high resilience during negative life events (such as the COVID-19 pandemic) is associated with the well-being in the lives of people. The results of this study can be used in interventions and other psychological studies.

Background: Several studies indicate a high prevalence of depression around the world during the period of the COVID-19 pandemic. Using a valid instrument to capture the depression of an individual in this situation is both important and timely. The present study aims to evaluate the psychometric properties of the Persian version of the Center for Epidemiological Studies Depression Scale (CES-D) among the public during the COVID-19 pandemic in Iran. Method: This is a cross-sectional study that was conducted in the Iranian population (n = 600) from April to July 2020. A two-part online form was used: sociodemographic characteristics and depression items (CES-D). The construct validity and internal consistency reliability of the scale were evaluated. Result: The results of the exploratory factor analysis illustrated two factors with 43.35% of the total variance of the depression were explained. Confirmatory factor analysis indicated that this model fits well. Internal consistency reliability was evaluated, and it was acceptable. Conclusion: The findings demonstrated that, in the Iranian sample, this depression scale yielded two factors (somatic and positive affects) solutions with suitable psychometric properties.

Background

Although various studies have been conducted on the effects of seasonal climate changes or emotional variables on the risk of AMI, many of them have limitations to determine the predictable model. The currents study is conducted to assess the effects of meteorological and emotional variables on the incidence and epidemiological occurrence of acute myocardial infarction (AMI) in Sari (capital of Mazandaran, Iran) during 2011-2018.

Methods

In this study, a time series analysis was used to determine the variation of variables over time. All series were seasonally adjusted and Poisson regression analysis was performed. In the analysis of meteorological data and emotional distress due to religious mourning events, the best results were obtained by autoregressive moving average (ARMA) (5,5) model.

Results

It was determined that average temperature, sunshine, and rain variables had a significant effect on death. A total of 2375 AMI's were enrolled. Average temperate (°C) and sunshine hours a day (h/day) had a statistically significant relationship with the number of AMI's (β = 0.011, P = 0.014). For every extra degree of temperature increase, the risk of AMI rose [OR = 1.011 (95%CI 1.00, 1.02)]. For every extra hour of sunshine, a day a statistically significant increase [OR = 1.02 (95% CI 1.01, 1.04)] in AMI risk occurred (β = 0.025, P = 0.001). Religious mourning events increase the risk of AMI 1.05 times more. The other independent variables have no significant effects on AMI's (P > 0.05).

Conclusion

Results demonstrate that sunshine hours and the average temperature had a significant effect on the risk of AMI. Moreover, emotional distress due to religious morning events increases AMI. More specific research on this topic is recommended.

Background: Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS. Methods: This retrospective cross-sectional study was conducted between 03/19/2015 to 03/18/2016 and used documents and records of patients with ACS in Mazandaran ProvinceHeart Center, Iran. The following definitive diagnostic criteria for ACS were used: (1) existence of cardiac enzymes (CK or CK-MB) above the normal range; (2) Greater than 1 mm ST-segment elevation or depression; (3) abnormal Q waves; and (4) manifestation of troponin enzyme in the blood. Data were collected daily, such as temperature (Celsius) changes, wind speed and its direction, rainfall, daily evaporation rate; number of sunny days, and relative humidity were provided by the Meteorological Organization of Iran. Results: A sample of 2,054 patients with ACS were recruited. The results indicated the highest ACS events from March to May. Generally, wind speed (18 PM) [IRR = 1.051 (95% CI: 1.019 to1.083), P=0.001], daily evaporation [IRR = 1.039 (95% CI: 1.003 to 1.077), P=0.032], daily maximum (P<0.001) and minimum (P=0.003) relative humidity was positively correlated withACS events. Also, negatively correlated variables were daily relative humidity (18 PM) [IRR =0.985 (95% CI: 0.978 to 0.992), P<0.001], and daily minimum temperature [IRR = 0.942 (95%CI: 0.927 to 0.958), P<0.001]. Conclusion: Climate changes were found to be significantly associated with ACS; especially from cold weather to hot weather in March, April and May. Further research is needed to fully understand the specific conditions and cold exposures.