Showing 191 results for Mohammad
Zahra Anbarani, Shokoufeh Mottaghi, Mohammad Hadi Safi,
Volume 21, Issue 3 (12-2023)
Abstract
Background and Aim: As a crisis, the Covid-19 disease affected all aspects of people's lives, especially the occupational aspect. Bank employees were more under pressure due to the type of service they provided to the public. The aim of this study was to analyze the challenges affecting the job efficiency of some of the Bank Melli Iran personnel during the Covid-19 pandemic.
Materials and Methods: This was a qualitative research project with a phenomenological approach. The research population was the employees of Melli Bank branches in the 10th district of Mashhad City, Iran in 2021, from among whom a sample of 10 people was selected by purposeful sampling, the sampling process continuing until saturation. Data were collected through semi-structured interviews and analyzed using the inductive thematic analysis method.
Results: Data analysis showed 12 sub-themes, 3 main themes including challenges at the individual, interpersonal and organizational levels, and a core theme.
Conclusion: The findings of this study show that the Bank employees’ concept of the Corona pandemic can affect their work efficiency. These findings can be used for planning to solve the problems and challenges of this group of people after the Corona pandemic.
Mohammad Amin Mirzaei, Majid Sartipi, Mehdi Mohammadi,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Kidney transplantation is the treatment of choice in most patients with kidney disease. It is a surgical operation in which a person’s kidney with chronic failure is replaced with a healthy kidney. The present study was conducted with the aim of estimating the survival probability of a transplanted kidney in patients with chronic kidney failure in Zahedan city, Iran.
Materials and Methods: This was a descriptive-analytical retrospective cohort study using the survival analysis method carried out in 2020. The sample size was estimated to be 211 patients.
Data were analyzed with SPSS.VER22 software using descriptive tests, the Kaplan-Meier method and the Cox proportional hazards model of survival.
Results: The data obtained showed that in general 45 (21.3%) clients had been rejected. In the multiple logistic regression model of kidney transplantation several variables, including survival time, patient survival variables, marital status, donor status, blood pressure and diabetes remained in the model (P<0.05). Further analysis of the data revealed that in the kidney disease patients with transplant survival in Zahedan city, only donor status variables, high blood pressure and diabetes remained in the final multiple Cox regression model.
Conclusion: Based on the results, it can be said that the probability of survival of kidney disease patients is independent of the type of donor and the characteristics of the recipient, which indicates the evolution of kidney transplant management over the past few years; dialysis before kidney transplantation also has an effect on the probability of survival. These factors can help to increase the probability of kidney transplant survival.
Seyedeh Maryam Pourmousavi, Zoha Hajiha, Mohammad Marfat, Iman Zaghian, Hamed Moslehi,
Volume 21, Issue 4 (3-2024)
Abstract
Background and purpose: The purpose of this research was to write a critical review of the available service packages in the Mental and Social Health and Addiction Office (MSHAO) of the Ministry of Health and Medical Education in the areas of drugs, alcohol and tobacco, which are currently used in the primary health care system. The content analysis method was used to extract the specialists’ critiques.
Materials and Methods: Initially the MSHAO sent 1362 pages of information in the form of 47 files to researchers to be reviewed. The files were classified, eliminating/removing additional, unrelated and duplicated items; finally 840 pages in 29 files were studied and carefully examined. Then, seven experts in the field of addiction were asked to criticize the packages, using the content analysis method to extract the experts' critiques.
Results: The findings showed that comprehensive information about drugs, alcohol and tobacco addiction is provided to the clients. However, based on a critical review of the existing packages four main critiques were extracted, namely, sources/references, epidemiology, incompatibility of Iranian-Islamic culture, and technical-specialist issues. In addition, criticisms were also extracted in the following areas/services: the number of files and the variety of interventions, editing and writing problems, interventions and discussions with inappropriate in-text sources/citations, some old sources/references (published in 2013 and 2014), old interventions, lack of appropriate compatibility with the culture of the Islamic society of Iran, and direct translation of some parts of the original texts and documents of international meetings/gatherings.
Conclusion: Despite the efforts of the Mental and Social Health and Addiction Office to cover the needs of the majority of people referring to the primary care system, it seems that the high number of interventions and additional information can cause confusion of/for the physician, mental health care provider, family health care provider, general health care provider and other relevant individuals. It is, therefore, suggested that some packages be merged with each other, duplicate items be removed and specific sections be added, some packages be fundamentally revised based on the suggested items, and updated packages be developed with due consideration of to the culture of the Iranian society.
Hosein Izadi Rad, Fereshteh Narouei, Parisa Mohammadi,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Women referring to health centers are one of the most important groups at risk of disease. Thus, in order to enjoy a high level of health, it is necessary for them to have health literacy. The purpose of this research was to find the demographic predictors of health literacy in women referring to comprehensive health service centers in Zahedan, Iran.
Materials and Methods: This was a descriptive-analytical study including 400 women selected by random cluster sampling from health centers under coverage of Zahedan University of Medical Sciences in 2022. The short form of the HELIA standard questionnaire was used to measure health literacy of the women. Data were analyzed using SPSS-22 software, the statistical tests being ANOVA, Kendall's correlation, and multiple regression.
Results: The subjects were between 18 and 60 years old. They were found to have obtained most of the information related to health and disease by asking doctors and healthcare workers (about 52.25%). The scores of the components of the subjects’ health literacy were as follows: average health literacy 69.91±23.34, reading 72.17±29.80, access 34.73±27.91, understanding 71.41±29.43, assessment 62.10±25.51, and the scope of decision-making and behavior 71.49±20.27. The strongest predictor of health literacy was found to be education, such that with an increase in the level of education, the health literacy of a woman would increase by 0.53 units. In addition, education variables, income level, age and ethnicity would predict 55% of the health literacy of the women.
Conclusion: This study shows that the health literacy score is related to age, education level, marital status, occupation, economic status and ethnicity, the strongest predictor of health literacy being the a high level of education. Therefore, considering the available evidence on the importance of health literacy and factors related to it and the low level of health literacy of women in this study, it is clear that women need to acquire, process and understand the basic information on health and therapeutic services in order to be able to make appropriate decisions. Briefly, women need to receive simple and understandable information and have more time to communicate with the health service personnel to understand health information.
Mohammad Bagher Moghadasi, Tayebe Rahimi Pordanjani, Zahra Ameri,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Vaccination, as one of the most cost-effective medical interventions, has significantly reduced the incidence of many infectious diseases. This study aimed to examine the moderating effect of mandatory vaccination policies on the relationship between corona anxiety and vaccine hesitancy among the employees of medical universities.
Materials and Methods: A descriptive-correlational study was conducted using convenience sampling on a sample of 152 employees selected from a medical university in North Khorasan Province, Iran. Data were collected using a researcher-made questionnaire on mandatory vaccination policies and vaccine hesitancy and Corona anxiety questionnaires. Pearson correlation coefficient and hierarchical regression were employed to test the research hypotheses, and data analysis was performed using the SPSS and AMOS software.
Results: The findings showed that 77% of the employees supported mandatory vaccination policies in the workplace. In addition, the correlation coefficients between Corona anxiety and mandatory vaccination policies with vaccine hesitancy were significant (p<0.001). Furthermore, the interaction of Corona anxiety and mandatory vaccination policies accounted for an additional 2% unique variance in the model (R2Δ=0.02, FΔ=4.02, p=0.05).
Conclusion: Based on the findings of this study it can be said that mandatory vaccination policies can moderate the relationship between Corona anxiety and vaccine hesitancy among employees of medical universities. It is, thus, recommended to use appropriate and cost-effective policies and executive guarantees to improve vaccination attitudes in employees with anxiety.
Soodeh Shadkam, Mehran Farhadi, Mohammad Reza Zoghi Paydar, Hossein Mohagheghi,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Considering the high prevalence of anxiety disorders, the high comorbidity of social anxiety disorder and generalized anxiety disorder, and the negative and lasting effects of social anxiety disorder on various aspects of a person's life, the present study investigated the effect of emotion regulation group therapy on the symptoms of social anxiety disorder comorbid with generalized anxiety disorder.
Materials and Methods: This was a quasi-experimental study with a pre-test and post-test design with control and follow-up groups. The statistical population included all the patients with social anxiety disorder comorbid with generalized anxiety disorder referring to psychotherapy clinics in Shiraz, Iran, from among whom a sample of 30 people were selected by the available sampling method. Data were collected using Structured Clinical Interviews for DSM-5 (SCID-5), Generalized Anxiety Disorder Scale-7 and the Social Interaction Anxiety Questionnaire (SIAS) and analyzed with SPSS version 27 software using the analysis of variance method with repeated measurements
Results: The data obtained showed that emotion regulation group therapy could significantly reduce the symptoms of social anxiety disorder (p<0.001) and generalized anxiety disorder (p<0.001), the results remaining stable in a three-month follow-up (p<0.05)
Conclusion: Based on the findings of this study it can be concluded that group therapy of emotion regulation is effective in, and can, thus, be used as a therapeutic intervention for, social anxiety disorder comorbid with generalized anxiety disorder.
Jalal Big Mohammadi, Mehdi Zanganeh,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: The Health Transformation Plan (HTP) has been developed to be implemented in the rural areas with the goal of easy access of the villagers to the physician, their equitable benefit of the public facilities and improving the outpatient services. The present study was conducted to find and explain the experiences of family physicians of the rural centers and managers after the execution of HTP of the public health sector in Zahedan University of Medical Sciences (ZAUMS), Zahedan, Iran.
Materials and Methods: This was a qualitative study using the content analysis method conducted in 1402 in the public health section in ZAUMS. The research population was the physicians and managers working in the rural areas of ZAUMS between 2015 and 2022; a sample was selected using the purposeful sampling method. Data were collected using the semi-structured interview based on the interview guide; content analysis was done using contract analytics.
Results: A group of 31 individuals including 20 men and 11 women and 19 physicians and 12 managers entered the study. Data were collected, analyzed and grouped in 6 main classes, namely, service delivery, integrated health system, resources, people and service recipients, monitoring and supervision, and suggestions; 12 sub-classes were extracted.
Conclusion: Based on the results of this study it can be concluded that appropriate training, service quality, financial support, and sustainable skilled manpower are the factors that will help solve the challenges in the Health Transformation Plan. On the other hand, considering that one of the components of the health system for successful implementation of the Health Transformation Plan is human resources, the ability and flexibility of the personnel play an important role in the speed of service delivery and service quality.
Serajeddin Mahmoudiani, Majid Movahed Majd, Hadiseh Mohammadiha,
Volume 22, Issue 1 (10-2024)
Abstract
Background and Aim: Healthy eating habits are undeniably one of the most crucial determinants of people's health in today's world. Undoubtedly food literacy and its components are key variables influencing food habits. This study aimed to investigate the relationship between food knowledge, food skills, resilience and healthy eating habits in the adult population of Shiraz City, Iran.
Materials and Method: A sample of 384 adults in Shiraz City was selected by cluster sampling and completed a questionnaire in 2023. Food literacy included 3 components, namely, knowledge, skill and resilience, determined using a standard 14-item questionnaire. The scale used to measure healthy eating habits included 6 items. Data analysis was conducted using SPSS version 27 software.
Results: The majority of the sample demonstrated average levels of food knowledge, food skills, resilience and healthy eating habits. Multivariate analysis revealed a significant positive correlation between age and healthy eating habits, while individuals with university education exhibited significantly healthier eating habits compared to illiterate individuals. Furthermore, it was found that food knowledge and resilience had the most significant effect on healthy eating habits, respectively.
Conclusion: The purpose of this research was to investigate the relationship between the components of food literacy and healthy eating habits in the adult population of Shiraz City, Iran. Food knowledge and resilience had significant effects on healthy eating habits. In general, it can be concluded that the implementation of targeted training courses with a special emphasis on improving food knowledge and skills should be prioritized by relevant authorities. Promoting food literacy has the potential to promote healthy eating habits and ultimately elevate the overall level of community health.
Aram Halimi, Goljamal Jorjani, Leyla Sharifi Aliabadi, Mohammad Reza Taherian, Haniyeh Yeganeh, Matin Shokrgozar, Gholamreza Ebrahimi, Mohammad Hossein Panahi,
Volume 22, Issue 1 (10-2024)
Abstract
Background and Aim: This study aimed to assess and prioritize the health needs of a community served by the Imamzadeh Ghasem Health Center in Tehran city, Iran.
Materials and Methods: This study was conducted based on the North Carolina model for comprehensive community health assessment. General information and available facilities were extracted from secondary sources, while insights into specific community needs were gathered through interviews with 76 individuals representing diverse demographics. The assessment was made by secondary data analysis and direct interviews.
Finally, the prioritization of health needs of the community was based on a scoring system based on severity, extent, and ease of being solved.
Results: The findings revealed that sewage problems, construction issues and waste management were considered to be the primary health concerns in the region. Comparative analysis with the situation in other regions in Iran emphasizes the unique challenges faced by the community in the present study.
Conclusion: The prioritized health issues highlight the community's urgent needs, requiring targeted interventions. Proposed solutions include legal measures, public education and municipal interventions to address the sewage, construction and waste management problems.
Mehrnoosh Ahangarani, Mohammad Jafar Tarokh,
Volume 22, Issue 1 (10-2024)
Abstract
Background and Aim: In recent years, machine learning and evolutionary algorithms have drawn the attention of researchers and specialists in various fields, especially in healthcare, due to their practical applications in processing large datasets to provide valuable insights. Considering the increasing prevalence of diabetes and its rapid and accurate diagnosis being one of the most critical issues in medicine, significant concerns are faced by global communities worldwide. The present study was conducted with the aim of creating a diagnostic model based on evolutionary algorithms and machine learning to diagnose diabetes.
Materials and Methods: This research based on the Indian Pima diabetes dataset presents a framework based on intelligent diabetes diagnosis. The proposed method consists of two main stages. The first stage involves a classification approach using K-nearest neighbors and random forest algorithms. The second stage includes a combined feature selection and classification approach to enhance the results of the first stage, utilizing grey wolf optimization, whale optimization, and particle swarm optimization algorithms for feature selection. Comparative analysis among different approaches is conducted through evaluation metrics such as accuracy, precision, recall, and F1-score.
Results: After comparative comparisons among the proposed models, the random forest model based on the grey wolf optimization was selected and introduced as the final model with a prediction accuracy of 81.38%.
Conclusion: The findings of this research indicate that the use of evolutionary algorithms alongside machine learning models can often enhance the efficiency and accuracy of diabetes diagnosis and its associated complications.
Elham Fatholahi, Mohammad Jafari,
Volume 22, Issue 1 (10-2024)
Abstract
Background and Aim: In recent years the interrelationships among environment, energy and health have attracted increasing attention due to their significant impact on human health. This study aimed to investigate the complex interactions among environment, economy, development, energy and the health outcomes in Iran.
Materials and Methods: In this research the annual national data in Iran between 1981 and 2021 were used, using the fully modified least squares cointegration. The following variables affecting life expectancy at birth were included in the analysis: renewable energy consumption, health costs, air pollution, female literacy rate, inflation rate, Gini coefficient, GDP per capita, financial development and fossil fuel consumption.
Results: Data analysis showed the following: 1. financial development positively affects life expectancy with a coefficient of 0.037 ; 2. CO2 emissions and fossil fuel consumption decrease life expectancy by 0.015 and 1.02, respectively; 3. Renewable energy consumption and health expenses have improved life expectancy in Iran with positive coefficients of 0.025 and 0.035, respectively.
Conclusion: To improve health care outcomes action should be taken in the following areas: increasing health expenditures, increasing the use of renewable energy, reducing the use of fossil fuels, strengthening long-term financial development for easier access to medical treatments, decreasing disease risk, healthier lifestyles, and environmental quality improvement. In addition, as regards policy-making, planning to improve economic indicators can provide the basis for demand for healthy and educational goods and improve the health status of the society.
