BackgroundNo systematic review has explored the causes of and factors associated with maternal mortality in the context of Iran. This study reviewed determinants and causes of maternal mortalities during pregnancy, delivery and the puerperium using the International Classification of Diseases-Maternal Mortality (ICD-MM), introduced by the World Health Organization.MethodsA systematic electronic search of all the studies that identified causes and/or determinants of maternal deaths in any part of Iran or in the whole country were included, without any restriction of time or language of studies. To identify the studies to include in this study, a combination of hand searching and bibliographies was also conducted. These sources and citations yielded a total of 653 articles; nevertheless, only 29 articles met the inclusion criteria, hence, required data were extracted, summarized, and grouped together from these papers and are reported in the tables.ResultsAmongst the 29 studies published between 2003 and 2017 in Iran, 24 studies were cross-sectional. Overall, 4633 deaths were reviewed, and 2655 (58%) of the cases included the data on the causes of death generally. According to the ICD-MM, a total of 69.9, 20.6, and 5.2% of the mortalities were due to direct, indirect and unspecified causes respectively and 4.3% of the causes were not clear in several studies. The leading direct and indirect causes of death were identified as hemorrhage (30.7%) and hypertensive disorders (17.1%) and circulatory system diseases (8.1%) respectively. Several factors including gravidity, type of delivery, socio-economic status of mothers, locations of birth, death and maternity care venues were found in the original studies as the most important determinant of maternal mortalities in Iran.ConclusionsThis study, provided an updated summary of evidences on the causes and determinants of maternal death in Iran, which is critically important for the development of interventions and reduction of the burden of maternal mortality and morbidities.

Mental health, job burnout, and job stress have an important role in the wellbeing of nurses and their services. The present study aimed to investigate the relationship between job stress and burnout and mental health with the mediation of psychological capital. Methods: The participants included 250 nurses from Bojnourd City, Iran who were selected by the available sampling method. The data were analyzed by Structural Equation Modeling (SEM) in SPSS version 23 and AMOS version 24. Results: Structural equation modeling analysis confirmed the proposed pattern. The results showed the direct effect of job and indirect effect of stress through psychological capital on the mental health and burnout. Conclusion: According to the results, hospitals and medical centers can benefit from psychological capital and its components to reduce job stress and burnout, and to increase mental health.

Background: Undoubtedly, one of the most important objectives of any organization is to provide high quality and desirable goods and services that depends on the performance of human force of the organization. The performance of physicians and nurses is a very important factor in establishing and enhancing the effectiveness of services. Since nurses are the most fundamental medical staff of the hospital, the present study was performed with the aim of investigating the factors affecting the job performance of nurses working in selected teaching hospitals in Tehran in 2018. Methods: The target group of this study included nurses working in inpatient wards of hospitals, of whom 354 individuals were selected by simple random sampling method. The intraorganizational environment questionnaire (Weisbord), five personality traits (NEO personality inventory), and Paterson’s job performance questionnaire were the three data collection tools. The study was conducted in 2018 and the data were analyzed by SPSS 20 software using descriptive statistics and artificial neural networks. Results: In the personality traits questionnaire, neuroticism (40.22 ± 6.66) dimension had the highest and responsibility (23.94 ± 4.91) dimension had the lowest mean scores. Also in the inter-organizational environment questionnaire, communication (14.66 ± 4.52) dimension and rewards (21.33 ± 6.54) dimension had the best and worst status, respectively. Comparison of significance coefficients in neural networks showed that dimensions of agreeability (100 %) and marital status (8 %) had the highest and lowest importance in nurses’ job performance. Conclusion: The results reveal that the dimensions of personality traits and job agreeability dimension have the most effect on the employees’ job performance. Hence, it is possible to improve staff performance by hiring people consistent with their work.