The novel coronavirus, formerly named as 2019 novel coronavirus (2019-nCov) caused a rapidly spreading epidemic of severe acute respiratory syndrome (SARS) in Wuhan, China and thereafter, progressed globally to form a pandemic of coronavirus disease 2019 (COVID-19) in numerous countries; and now confirmed cases are reported from several provinces of Iran. Now various medical centers, clinicians and researchers around the world share their data and experiences about COVID-19 in order to participate in the global attempt of controlling the pandemic. The current report investigates the clinical presentations and paraclinical findings of the first confirmed cases and mortalities in the initiation of the outbreak of COVID-19 in Iran.

No abstract

Background and objectives Health system services are not reliable without quality assessment. It is important to explore gaps between standard services and existing situation to improve the quality of health system. His study aimed at studding the quality assessment of electronic referral system in one of the major provinces of Iran. Material and Methods This study was a cross-sectional study utilizing SERVQUAL model. The population comprised 3 groups totaling approximately 11,004 people. The sample size allocated to each city was determined in view of the ratio of patients. A sample of 384 patients who used electronic referral service at level 2 and revived outpatient services constructed the population of study. The data were collected through a two-part questionnaire. The validity of the questionnaire was confirmed by 10 experts including senior and mid-level managers and medical science university faculty members. The questionnaire assessed demographic data and the patients' perceptions and expectations. Data was analyzed using descriptive statistics and analytical statistics such as nonparametric mean comparison tests, in view of the normality assumption,) including Wilcoxon test, Mann-Whitney and Kruskal-Wallis. Spearman correlation test was used to determine the intensity of correlation between the study variables. The significance level of all tests was considered 0.05. Results There were identified gaps throughout all dimensions of health service among the studied clinics (P <0.001). The highest gap was observed in the empathy dimension (0.57) and the lowest gap was observed in the tangible dimension (-0.38). The gap between the services provided to patients was different in terms of guarantee, gender (P = 0.005), empathy , level of education (P = 0.028) and reliability based on the city vise (P = 0.028). Conclusion In the hospitals implementing the electronic referral system in Golestan province, there is a gap in all dimensions and it indicates that in none of the dimensions, the expectations of the recipients have not been fully met. Extended Abstract Background and Objectives Quality assessment is doubly important in the health sector, compared to other sectors, due to the sensitivity of services provided in this area. This study was conducted to investigate the gap in the quality of medical services provided in hospitals implementing electronic referral system in Golestan province, using SERVQUAL model. Material and Methods In this cross-sectional study, 384 patients were selected through stratified random sampling with allocation proportionate to each city’s population. These patients were referred to level 2 in the frame of electronic referral system and received outpatient services by a specialist physician in the clinics of hospitals implementing the electronic referral system in Golestan province in 2019. This study was conducted in the cities of Bandar-e-Turkmen, Aq-Qala and Aliabad-e-Katoul, where the electronic health referral system had been fully. The population comprised 3 groups totaling approximately 11,004 people. The sample size allocated to each city was determined in view of the ratio of patients referred to level 2 in each city. Accordingly, the sample size selected included 84 subjects from Bandar-e-Turkmen City, 203 from AqQala is 203, and 115 from Aliabad. Having referred to these centers, we collected, from the patient registration office, the record of the patients whose family physician had referred them to level 2 and who had received the desired services. Then, the subjects were systematically and randomly selected according to the referral code registered in the system and the patient list. The data were collected through a two-part questionnaire. The first part of the questionnaire revolved around demographic variables, including age, sex, marital status, level of education, occupation and clinical and medical characteristics such as the number of visits to this clinic, type of disease and type of patients' insurance. The second part of the questionnaire assessed the patients' perceptions and expectations by 30 questions which were similar in content and number but different in wording. In this study, the validity of the questionnaire was confirmed by 10 experts including senior and mid-level managers and faculty members of Golestan University of Medical Sciences. Cronbach's alpha coefficient was calculated to determine the overall reliability of the questionnaire. The data were analyzed using SPSS software version 23. The data were analyzed descriptively through tables, number, frequency percentage for qualitative data, and Mean and Standard Deviation for quantitative data. In addition, we employed analytical statistics such as nonparametric mean comparison tests, in view of the normality assumption,) including Wilcoxon test, Mann-Whitney and Kruskal-Wallis and also Spearman correlation test to determine the intensity of correlation between the study variables. In the present study, the significance level of all tests was considered 0.05. Results Out of a total of 402 patients studied, information on only 384 patients was fully recorded (response rate 95.5%). The majority of subjects were female (74.5%), married (81.5%), high school graduate (24.9%), housewife (64.9%). The mean age of the patients was 37.17 ± 14.54 years, so that 62.4% of the subjects fell in the age bracket of 30-60 years. 53.6% of the patients had referred to the center more than once. 56.2% had rural insurance and the highest number of referrals had been made to gynaecologist (21.4%). The relationship between expectations and perceptions of service quality in all dimensions was statistically significant (P < 0.001). The results of Wilcoxon test showed that the gap between the patients' expectations and perceptions with a 95% probability was significant (P<0.001) in all three cities and among all patients., found that. That is, there was a difference between the patients' expectations of service quality and their perceptions in the whole sample. The highest mean score in the expectations section was related to the guarantee and confidence dimension (4.49) and it was related to the tangible dimension in the perceptions section (4.10) is) while the lowest score is in the expectations and perceptions section related to the empathy dimension (4.34 and respectively. 77.3). After calculating the difference between the mean scores of perceptions and expectations, in all dimensions, the level of the patients' expectations of services was found higher than the level of perceptions with a negative gap. The largest gap in service quality was related to the empathy dimension (-0.57) and the lowest quality service gap was related to the tangible dimension (-0.38). There was no significant relationship between service quality gap and age groups, marital status, occupation groups, number of visits, type of insurance and type of illness (P> 0.05). But the gap in service quality was significantly associated with the patients' gender (P = 0.005) and education level (P = 0.028). So that the biggest gap was related to women and illiterate people. Also, the quality gap was different according to the city (P = 0.028), with the largest gap related to Aq-Qala city. Conclusion The results showed that the studied hospitals could not meet the expectations of the patients in any of the five components of service quality, with the perceived quality always lagging behind the expected quality. This highlights need to improve the quality of services through paying more attention to people in the community in order to deliver committed services reliably, accurately and correctly in a timely manner, as well as, enhancing the knowledge, etiquette and ability of employees to build trust and confidence in customers. Since at the time of the study, only three cities, Bandar-e-Turkmen, Aq-Qala and Aliabad-e-Katoul, were implementing an electronic referral system, it was not possible to study other cities in this field and the statistical population was outpatients from level 1 to level 2. A wider study should be conducted at the provincial level to include all referrals to family physicians at level one and all inpatient and outpatient referrals. In addition, the SERVQUAL questionnaire does not cover all the expectations, perceptions and beliefs of patients, so the use of qualitative study methods along with quantitative methods in future studies could provide a better understanding of the issue of quality. Practical implications of research According to the results of this study, it is suggested that officials and providers of health services should prioritize:- Continuous improvement and evaluation of service quality in planning;- Equipping medical centers with efficient and new equipment;- Providing services at the promised time and in the shortest time to clients;- Availability of staff and service providers when patients are referred;- Familiarity with the knowledge and skills of the day to meet the needs of clients and- Understanding the values and emotions of clients Ethical considerations study protocol, with the number IR.GOUMS.REC.1397.289, was ethically approved by the Research Ethics committee of Golestan University of Medical Sciences. At the time of data collection, respondents were assured that their information would remain confidential and the questionnaire was completed anonymously. Meanwhile, those who did not want to participate in the study were excluded from the study. Conflict of interest The authors state that there is no conflict of interest in the present study. Acknowledgement The Vice Chancellor for Research and Technology of Golestan University of Medical Sciences and the Research Center for Health Management and Social Development for approving the research plan with code 110602 and the assistance of officials and staff of selected hospitals in conducting this research plan are appreciated.

Background: Considering the key role of the Ministry of Health staff in developing major policies of the country and the importance of the health system employees in improving productivity and achieving the goals of the organization, the purpose of this study was to predict organizational commitment based on the dimensions of job satisfaction in the staff of the Ministry of Health, and medical education. Methods: This cross-sectional study was performed on employees of the Ministry of Health and Medical Education in 2017. Data were collected using Job Descriptive Index (JDI) questionnaire and Allen & Meyer Organizational Commitment. The data were analyzed using Pearson correlation coefficient and linear regression model. Results: There was a significant direct correlation between job satisfaction and organizational commitment (r = 0.41). Also, the results of regression analysis showed that organizational commitment can be significantly predicted based on the dimensions of work satisfaction (B = 0.16) and promotion satisfaction (B = 0.12). Conclusion: The findings revealed that job satisfaction is associated with organizational commitment. It is suggested that human resource managers provide conditions for increased satisfaction and job motivation such as appropriate awarding based on the actual evaluation of performance and increasing salary according to the capabilities of the employees to improve organizational commitment of employees.

Background and Objectives: Paying attention to human resources is one of the basic principles for increasing productivity and quality of services in hospitals. Therefore, the present study was designed to compare the level of job satisfaction and job stress, and the association between these two components in nurses, operating room, and anesthesia staff.Methods: This is a descriptive causal-comparative study, performed in December 2019 in Zabol hospitals with the participation of 175 nurses, operating room, and anesthesia staff. A three-part questionnaire consisting of demographic information, job satisfaction, and job stress was used to collect data. Then analysis of data was performed using SPSS 20 and the Pearson correlation coefficient, independent t-test, and ANOVA. Results:In this study, it was found that nursing group had the highest job satisfaction and anesthesia and operating room staff had the lower job satisfaction. Also, the highest and lowest levels of job stress were related to anesthesiologists and nurses, respectively, and the differences in both variables were significant between the three groups. Moreover, the results showed that there was a significant negative correlation between job satisfaction and job stress, totally. Conclusion:Due to that anesthesia staff was in a more unfavorable situation than others. We recommend that management planning and policies in hospitals be done by occupational groups and design and carry out the studies to assess the needs for each group.