Mohsen Shafiee - Academia.edu (original) (raw)

Papers by Mohsen Shafiee

BMC Nursing, Jan 10, 2022

BioMedical Engineering OnLine

Background The worldwide society is currently facing an epidemiological shift due to the signific... more Background The worldwide society is currently facing an epidemiological shift due to the significant improvement in life expectancy and increase in the elderly population. This shift requires the public and scientific community to highlight successful aging (SA), as an indicator representing the quality of elderly people’s health. SA is a subjective, complex, and multidimensional concept; thus, its meaning or measuring is a difficult task. This study seeks to identify the most affecting factors on SA and fed them as input variables for constructing predictive models using machine learning (ML) algorithms. Methods Data from 1465 adults aged ≥ 60 years who were referred to health centers in Abadan city (Iran) between 2021 and 2022 were collected by interview. First, binary logistic regression (BLR) was used to identify the main factors influencing SA. Second, eight ML algorithms, including adaptive boosting (AdaBoost), bootstrap aggregating (Bagging), eXtreme Gradient Boosting (XG-Boo...

Indian Journal of Radiology and Imaging, 2020

Objective: Ionizing radiation has been extensively used in medical procedures throughout the worl... more Objective: Ionizing radiation has been extensively used in medical procedures throughout the world. Such interventional radiological procedures could result in occupational exposure that needs urgent control. Therefore, MPs (medical professionals) should receive education and appropriate training on occupational radiation protection. In this context, the present study is aimed to investigate the MPs’ knowledge and practice regarding radiation protection principles during interventional radiological procedures. Material and Methods: A descriptive questionnaire-based study was carried out among 215 MPs involved in interventional fluoroscopy procedures. The practice of 31 MPs was studied using a checklist based on ALARA principles and ICRP guidelines. Results: A total of 43.3% and 45.1% answered correctly for knowledge and practice. However, the difference between radiation protection knowledge and practice between the physicians and nurses was statistically significant. The knowledge ...

BMC Gastroenterology

Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric ... more Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and pose financial burdens. Thus, the prevention of the disease by modifying lifestyle-related behaviors and dietary habits or even the prevention of risk factor formation is of great importance. This study aimed to construct an inexpensive, non-invasive, fast, and high-precision diagnostic model using six machine learning (ML) algorithms to classify patients at high or low risk of developing gastric cancer by analyzing individual lifestyle factors. Methods This retrospective study used the data of 2029 individuals from the gastric cancer database of Ayatollah Taleghani Hospital in Abadan City, Iran. The data were randomly separated into training and test sets (ratio 0.7:0.3). Six ML methods, including multilayer perceptron (MLP), support vector machine (SVM) (linear kernel), SVM (RBF kernel), k-nearest neighbor...

BMC Health Services Research

Background Corrosive ingestion is still a major health problem, and its outcomes are often unpred... more Background Corrosive ingestion is still a major health problem, and its outcomes are often unpredicted. The implementation of a registry system for poisoning with corrosive substances may improve the quality of patient care and might be useful to manage this type of poisoning and its complications. Therefore, our study aimed to establish a minimum data set (MDS) for corrosive ingestion. Methods This was an applied study performed in 2022. First, a literature review was conducted to identify the potential data items to be included in the corrosive ingestion MDS. Then, a two-round Delphi survey was performed to attain an agreement among experts regarding the MDS content, and an additional Delphi step was used for confirming the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and by using other statistical tests. Results After the literature review, 285 data items were collected and sent to a two-round Delphi survey in the form...

BMC Medical Informatics and Decision Making

Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although ... more Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set (MDS) for suicidal behaviors surveillance. Methods A literature review was first conducted to achieve a thorough overview of suicide-related items and map the existing evidence supporting the development of the MDS. The data items included in the literature review were then analyzed using a two-round Delphi technique with content validation by an expert panel. The suicidal behaviors surveillance system was then established based on the confirmed MDS, and ultimately, its performance was assessed by involving the end-users. Results The panel of experts consisted of 50 experts who participated in the Delphi phase and validity content review. Of these, 46% were men, and their mean age and average wor...

Informatics in Medicine Unlocked

Informatics in Medicine Unlocked

Health and Medical Research Journal, 2022

introduction: Radiographic tools are one of the most instruments in hospitals. The ionizing radia... more introduction: Radiographic tools are one of the most instruments in hospitals. The ionizing radiation process occurs in radiographic instruments. The ionizing radiation causes side effects in the users. Lack of knowledge of staff and students radiology regarding radiation risks, protection, and dose levels in medical imaging procedures causes complications in them. Therefore, this study was conducted to compare the awareness of radiology staff and students regarding radiation risks, protection, and dose levels in medical imaging procedures.
Methods: In this analytical cross-sectional study with the participation of 180 participants include 62 students and 118 radiology staff were was done by convenience sampling from the hospitals of Tehran university of medical siences, in 2020 from February to September. The structural and valid gathering tool including 3 sections: baseline data, radiation protection awareness and dose assessment knowledge questionnaire were used.
Results: Approximately 82 % of students chose a dose of lumbar X-ray exams between 1 and 50 times the (potrior – anterior (PA )) chest, and only 9 % answered the question correctly. However, 27% of the staff chose the correct answer. Students on the average dose of mammography had more choice (1-10 times) of a PA chest test, while staff preferred 100-500. The crew performed better on the dose resulting from a PET-CT test as well as the dose estimate from a nuclear medicine heart scan, and selected 36% correct response (more than 500 times the PA chest), while students had a lower rating (1-10 times) than others. Overall, 45% of students and staff had any training or retraining after completing their training at the university.
Conclusions: In self-reporting, most students and staff believed that they had a suitable or sufficient level of awareness of ionizing radiation. Radiology students had a better level of knowledge about radiation protection than radiology staffs, while radiology staffs had a better estimate in discussing dose assessment.

BMC Public Health

Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and... more Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to establish a minimum data set (MDS) for integrating data across suicide registries and other data sources. Methods The MDS proposed in this study was developed in two-stepwise stages. First, an extensive literature review was performed in order to identify the potential data items. Then, we conducted a two-round Delphi stage to reach a consensus among experts regarding essential data items and a supplementary one-round Delphi stage for validating the content of the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and using other statistical tests. Results After the literature review, 189 data items were extracted and sent to a panel of experts ...

BMC Medical Informatics and Decision Making

Introduction The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospit... more Introduction The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospital resources such as ICU beds, specialized doctors, and respiratory ventilators. In this situation, reducing COVID-19 readmissions could potentially maintain hospital capacity. By employing machine learning (ML), we can predict the likelihood of COVID-19 readmission risk, which can assist in the optimal allocation of restricted resources to seriously ill patients. Methods In this retrospective single-center study, the data of 1225 COVID-19 patients discharged between January 9, 2020, and October 20, 2021 were analyzed. First, the most important predictors were selected using the horse herd optimization algorithms. Then, three classical ML algorithms, including decision tree, support vector machine, and k-nearest neighbors, and a hybrid algorithm, namely water wave optimization (WWO) as a precise metaheuristic evolutionary algorithm combined with a neural network were used to construct pr...

Medical Journal of The Islamic Republic of Iran, 2020

OBJECTIVES: The survival rate of thalassemia patients has not been conclusively established, and ... more OBJECTIVES: The survival rate of thalassemia patients has not been conclusively established, and the factors associated with survival remain unclear. This study aimed to determine the survival rate of thalassemia among patients in southern Iran and to identify the factors associated with mortality from thalassemia. METHODS: This retrospective cohort study was conducted based on a retrospective review of the medical re-cords of 911 beta-thalassemia patients in 2014. Data analysis was conducted using the Kaplan-Meier method and Cox regression analysis. RESULTS: Overall, 212 patients (23.3%) died, and 26.8 % had thalassemia intermedia. The 20-year, 40-year, and 60-year survival rates were 85%, 63%, and 54%, respectively. Both crude and adjusted analyses found that education, marital status, ferritin levels, and comorbidities were related to mortality. CONCLUSIONS: Sociodemographic and hematological factors were found to be significantly associated with the survival rate of thalassemia....

BackgroundThe current pandemic of coronavirus disease (COVID-19) causes unexpected economic burde... more BackgroundThe current pandemic of coronavirus disease (COVID-19) causes unexpected economic burdens to worldwide health organizations with severe shortages in hospital bed capacity and other related medical resources. Therefore, predicting the length of stay (LOS) is essential to ensure optimal allocating scarce hospital resources and inform evidence-based decision-making. Thus, the purpose of this research is to construct a model for predicting COVID-19 patients' hospital LOS by multiple multilayer perceptron-artificial neural network (MLP-ANN) algorithms. Material and MethodsUsing a single-center registry, the records of 1225 laboratory-confirmed COVID-19 hospitalized cases from February 9, 2020, to December 20, 2020, were analyzed. The correlation coefficient technique was developed to determine the most significant variables as the input of the ANN models. Only variables with a correlation coefficient at the P-value< 0.2 were used in model construction. Ultimately the pre...

BMC Cardiovascular Disorders, 2021

Background Type A aortic dissection is a very dangerous, fatal, and emergency condition for surge... more Background Type A aortic dissection is a very dangerous, fatal, and emergency condition for surgery. Acute aortic dissection is a rare condition, such that many patients will not survive without reconstructive surgery. Case presentation We present a case 24-year-old male who came with symptoms of shortness of breath and cough. The patient underwent ECG, chest radiology, and ultrasound, where the patient was found to have right pleural effusion while his ECG was normal. In the history taken from the patient, he had no underlying disease, no history of heart diseases in his family. For a better diagnosis, ETT and aortic CT angiography was performed on the patient which confirmed the evidence of dissection. Immediately after the diagnosis, necessary arrangements were made for open heart surgery and the patient was prepared for surgery. The patient was admitted in the cardiac surgery ICU for 5 days and his medication was carefully administered. After the conditions were stabilized, the ...

Introduction: nursing documentation is a critical aspect of the nursing care workflow. There is a... more Introduction: nursing documentation is a critical aspect of the nursing care workflow. There is a varying degree in how detailed nursing reporting is described in scientific literature and care practice, and no uniform structured documentation is given. Aims This study aimed to describe the process of designing and evaluating the content of an electronic nursing documentation system to provide consistent and unified reporting in this context. Methods A four-step sequential methodological approach was utilized. The Minimum Data Set (MDS) development process consisting of two phases, as follows: A literature review was performed to attain an exhaustive overview of relevant elements of nursing and map the available evidence underpinning the development of the MDS. Second, the data included from the literature review were analyzed using a two-round Delphi study with content validation by an expert panel. Next, the electronic nursing system (ENS) was developed according to the finalized ...

Background: Identifying the level of radiology students and staffs's awareness of their knowl... more Background: Identifying the level of radiology students and staffs's awareness of their knowledge of radiation risks and radiation protection and their understanding of radiation dose levels in medical imaging procedures will help global and national lawmakers adjust laws according to the recognized need in studies. The significance of this study is further enhanced when it is considered a lack of radiation awareness may increase the risk of radiation damage to themselves and patients.Method: This Crossectional study is done on 180 participants, including 62 participants were students (radiology residents and technologists), and 118 participants were radiology staff (radiologists and radiographers). For measuring the awareness of participants, a prepared questionnaire which had a total of 22 questions. The poll was divided into three sections of which: Demographics data, Radiation protection awareness, and knowledge of radiologists about dose assessment. The questionnaire reliab...

Background: Radiation therapy is one of the most essential components of cancer treatment, so tha... more Background: Radiation therapy is one of the most essential components of cancer treatment, so that more than half of cancer patients receive that treatment modality. Radiotherapy of pelvic, spine, or testicles could cause infertility and oligospermia due to direct effect on the gonads. The testicle, as a high radiosensitive tissue, faces functional disorder with the lowest dose of 0.15 Gy and oligospermia with 0.3–0.5 Gy. Since protection against adverse effects of Radiation is essential, studies are being done to find out radioprotectors with the non-toxic properties. Probiotics are living microorganisms, the effects of which on the intestinal microbial flora can boost the immune system.Methods: Male Wistar albino rats were subjected to dietary supplements, including Lactobacillus Casei and Lactobacillus acidophilus, in four groups, for 17 weeks. After being exposed by 2 Gy gamma radiations, the testicular tissue was extracted, and the expression of the apoptotic genes of Bax, Bcl2...

Background Identifying the level of radiology students and radiologist's awareness about thei... more Background Identifying the level of radiology students and radiologist's awareness about their knowledge of radiation risks and radiation protection and their understanding of radiation dose levels in medical imaging tests will help global and national lawmakers adjust laws according to the recognized need in studies. The significance of this study is further enhanced when it is considered a lack of radiation awareness may increase the risk of radiation damage to themselves and patients. Method: This Crossectional study is done on 180 people, including 62 people were students (radiology residents and technologists), and 118 people were radiology staff (radiologists and radiographers). For measuring the awareness of participants, a prepared questionnaire which had a total of 22 questions. The poll was divided into three sections of which: Demographics data, Radiation protection awareness, and knowledge of radiologists about dose assessment. The questionnaire reliability was asses...

BMC Nursing, Jan 10, 2022

BioMedical Engineering OnLine

Background The worldwide society is currently facing an epidemiological shift due to the signific... more Background The worldwide society is currently facing an epidemiological shift due to the significant improvement in life expectancy and increase in the elderly population. This shift requires the public and scientific community to highlight successful aging (SA), as an indicator representing the quality of elderly people’s health. SA is a subjective, complex, and multidimensional concept; thus, its meaning or measuring is a difficult task. This study seeks to identify the most affecting factors on SA and fed them as input variables for constructing predictive models using machine learning (ML) algorithms. Methods Data from 1465 adults aged ≥ 60 years who were referred to health centers in Abadan city (Iran) between 2021 and 2022 were collected by interview. First, binary logistic regression (BLR) was used to identify the main factors influencing SA. Second, eight ML algorithms, including adaptive boosting (AdaBoost), bootstrap aggregating (Bagging), eXtreme Gradient Boosting (XG-Boo...

Indian Journal of Radiology and Imaging, 2020

Objective: Ionizing radiation has been extensively used in medical procedures throughout the worl... more Objective: Ionizing radiation has been extensively used in medical procedures throughout the world. Such interventional radiological procedures could result in occupational exposure that needs urgent control. Therefore, MPs (medical professionals) should receive education and appropriate training on occupational radiation protection. In this context, the present study is aimed to investigate the MPs’ knowledge and practice regarding radiation protection principles during interventional radiological procedures. Material and Methods: A descriptive questionnaire-based study was carried out among 215 MPs involved in interventional fluoroscopy procedures. The practice of 31 MPs was studied using a checklist based on ALARA principles and ICRP guidelines. Results: A total of 43.3% and 45.1% answered correctly for knowledge and practice. However, the difference between radiation protection knowledge and practice between the physicians and nurses was statistically significant. The knowledge ...

BMC Gastroenterology

Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric ... more Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and pose financial burdens. Thus, the prevention of the disease by modifying lifestyle-related behaviors and dietary habits or even the prevention of risk factor formation is of great importance. This study aimed to construct an inexpensive, non-invasive, fast, and high-precision diagnostic model using six machine learning (ML) algorithms to classify patients at high or low risk of developing gastric cancer by analyzing individual lifestyle factors. Methods This retrospective study used the data of 2029 individuals from the gastric cancer database of Ayatollah Taleghani Hospital in Abadan City, Iran. The data were randomly separated into training and test sets (ratio 0.7:0.3). Six ML methods, including multilayer perceptron (MLP), support vector machine (SVM) (linear kernel), SVM (RBF kernel), k-nearest neighbor...

BMC Health Services Research

Background Corrosive ingestion is still a major health problem, and its outcomes are often unpred... more Background Corrosive ingestion is still a major health problem, and its outcomes are often unpredicted. The implementation of a registry system for poisoning with corrosive substances may improve the quality of patient care and might be useful to manage this type of poisoning and its complications. Therefore, our study aimed to establish a minimum data set (MDS) for corrosive ingestion. Methods This was an applied study performed in 2022. First, a literature review was conducted to identify the potential data items to be included in the corrosive ingestion MDS. Then, a two-round Delphi survey was performed to attain an agreement among experts regarding the MDS content, and an additional Delphi step was used for confirming the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and by using other statistical tests. Results After the literature review, 285 data items were collected and sent to a two-round Delphi survey in the form...

BMC Medical Informatics and Decision Making

Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although ... more Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set (MDS) for suicidal behaviors surveillance. Methods A literature review was first conducted to achieve a thorough overview of suicide-related items and map the existing evidence supporting the development of the MDS. The data items included in the literature review were then analyzed using a two-round Delphi technique with content validation by an expert panel. The suicidal behaviors surveillance system was then established based on the confirmed MDS, and ultimately, its performance was assessed by involving the end-users. Results The panel of experts consisted of 50 experts who participated in the Delphi phase and validity content review. Of these, 46% were men, and their mean age and average wor...

Informatics in Medicine Unlocked

Informatics in Medicine Unlocked

Health and Medical Research Journal, 2022

introduction: Radiographic tools are one of the most instruments in hospitals. The ionizing radia... more introduction: Radiographic tools are one of the most instruments in hospitals. The ionizing radiation process occurs in radiographic instruments. The ionizing radiation causes side effects in the users. Lack of knowledge of staff and students radiology regarding radiation risks, protection, and dose levels in medical imaging procedures causes complications in them. Therefore, this study was conducted to compare the awareness of radiology staff and students regarding radiation risks, protection, and dose levels in medical imaging procedures.
Methods: In this analytical cross-sectional study with the participation of 180 participants include 62 students and 118 radiology staff were was done by convenience sampling from the hospitals of Tehran university of medical siences, in 2020 from February to September. The structural and valid gathering tool including 3 sections: baseline data, radiation protection awareness and dose assessment knowledge questionnaire were used.
Results: Approximately 82 % of students chose a dose of lumbar X-ray exams between 1 and 50 times the (potrior – anterior (PA )) chest, and only 9 % answered the question correctly. However, 27% of the staff chose the correct answer. Students on the average dose of mammography had more choice (1-10 times) of a PA chest test, while staff preferred 100-500. The crew performed better on the dose resulting from a PET-CT test as well as the dose estimate from a nuclear medicine heart scan, and selected 36% correct response (more than 500 times the PA chest), while students had a lower rating (1-10 times) than others. Overall, 45% of students and staff had any training or retraining after completing their training at the university.
Conclusions: In self-reporting, most students and staff believed that they had a suitable or sufficient level of awareness of ionizing radiation. Radiology students had a better level of knowledge about radiation protection than radiology staffs, while radiology staffs had a better estimate in discussing dose assessment.

BMC Public Health

Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and... more Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to establish a minimum data set (MDS) for integrating data across suicide registries and other data sources. Methods The MDS proposed in this study was developed in two-stepwise stages. First, an extensive literature review was performed in order to identify the potential data items. Then, we conducted a two-round Delphi stage to reach a consensus among experts regarding essential data items and a supplementary one-round Delphi stage for validating the content of the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and using other statistical tests. Results After the literature review, 189 data items were extracted and sent to a panel of experts ...

BMC Medical Informatics and Decision Making

Introduction The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospit... more Introduction The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospital resources such as ICU beds, specialized doctors, and respiratory ventilators. In this situation, reducing COVID-19 readmissions could potentially maintain hospital capacity. By employing machine learning (ML), we can predict the likelihood of COVID-19 readmission risk, which can assist in the optimal allocation of restricted resources to seriously ill patients. Methods In this retrospective single-center study, the data of 1225 COVID-19 patients discharged between January 9, 2020, and October 20, 2021 were analyzed. First, the most important predictors were selected using the horse herd optimization algorithms. Then, three classical ML algorithms, including decision tree, support vector machine, and k-nearest neighbors, and a hybrid algorithm, namely water wave optimization (WWO) as a precise metaheuristic evolutionary algorithm combined with a neural network were used to construct pr...

Medical Journal of The Islamic Republic of Iran, 2020

OBJECTIVES: The survival rate of thalassemia patients has not been conclusively established, and ... more OBJECTIVES: The survival rate of thalassemia patients has not been conclusively established, and the factors associated with survival remain unclear. This study aimed to determine the survival rate of thalassemia among patients in southern Iran and to identify the factors associated with mortality from thalassemia. METHODS: This retrospective cohort study was conducted based on a retrospective review of the medical re-cords of 911 beta-thalassemia patients in 2014. Data analysis was conducted using the Kaplan-Meier method and Cox regression analysis. RESULTS: Overall, 212 patients (23.3%) died, and 26.8 % had thalassemia intermedia. The 20-year, 40-year, and 60-year survival rates were 85%, 63%, and 54%, respectively. Both crude and adjusted analyses found that education, marital status, ferritin levels, and comorbidities were related to mortality. CONCLUSIONS: Sociodemographic and hematological factors were found to be significantly associated with the survival rate of thalassemia....

BackgroundThe current pandemic of coronavirus disease (COVID-19) causes unexpected economic burde... more BackgroundThe current pandemic of coronavirus disease (COVID-19) causes unexpected economic burdens to worldwide health organizations with severe shortages in hospital bed capacity and other related medical resources. Therefore, predicting the length of stay (LOS) is essential to ensure optimal allocating scarce hospital resources and inform evidence-based decision-making. Thus, the purpose of this research is to construct a model for predicting COVID-19 patients' hospital LOS by multiple multilayer perceptron-artificial neural network (MLP-ANN) algorithms. Material and MethodsUsing a single-center registry, the records of 1225 laboratory-confirmed COVID-19 hospitalized cases from February 9, 2020, to December 20, 2020, were analyzed. The correlation coefficient technique was developed to determine the most significant variables as the input of the ANN models. Only variables with a correlation coefficient at the P-value< 0.2 were used in model construction. Ultimately the pre...

BMC Cardiovascular Disorders, 2021

Background Type A aortic dissection is a very dangerous, fatal, and emergency condition for surge... more Background Type A aortic dissection is a very dangerous, fatal, and emergency condition for surgery. Acute aortic dissection is a rare condition, such that many patients will not survive without reconstructive surgery. Case presentation We present a case 24-year-old male who came with symptoms of shortness of breath and cough. The patient underwent ECG, chest radiology, and ultrasound, where the patient was found to have right pleural effusion while his ECG was normal. In the history taken from the patient, he had no underlying disease, no history of heart diseases in his family. For a better diagnosis, ETT and aortic CT angiography was performed on the patient which confirmed the evidence of dissection. Immediately after the diagnosis, necessary arrangements were made for open heart surgery and the patient was prepared for surgery. The patient was admitted in the cardiac surgery ICU for 5 days and his medication was carefully administered. After the conditions were stabilized, the ...

Introduction: nursing documentation is a critical aspect of the nursing care workflow. There is a... more Introduction: nursing documentation is a critical aspect of the nursing care workflow. There is a varying degree in how detailed nursing reporting is described in scientific literature and care practice, and no uniform structured documentation is given. Aims This study aimed to describe the process of designing and evaluating the content of an electronic nursing documentation system to provide consistent and unified reporting in this context. Methods A four-step sequential methodological approach was utilized. The Minimum Data Set (MDS) development process consisting of two phases, as follows: A literature review was performed to attain an exhaustive overview of relevant elements of nursing and map the available evidence underpinning the development of the MDS. Second, the data included from the literature review were analyzed using a two-round Delphi study with content validation by an expert panel. Next, the electronic nursing system (ENS) was developed according to the finalized ...

Background: Identifying the level of radiology students and staffs's awareness of their knowl... more Background: Identifying the level of radiology students and staffs's awareness of their knowledge of radiation risks and radiation protection and their understanding of radiation dose levels in medical imaging procedures will help global and national lawmakers adjust laws according to the recognized need in studies. The significance of this study is further enhanced when it is considered a lack of radiation awareness may increase the risk of radiation damage to themselves and patients.Method: This Crossectional study is done on 180 participants, including 62 participants were students (radiology residents and technologists), and 118 participants were radiology staff (radiologists and radiographers). For measuring the awareness of participants, a prepared questionnaire which had a total of 22 questions. The poll was divided into three sections of which: Demographics data, Radiation protection awareness, and knowledge of radiologists about dose assessment. The questionnaire reliab...

Background: Radiation therapy is one of the most essential components of cancer treatment, so tha... more Background: Radiation therapy is one of the most essential components of cancer treatment, so that more than half of cancer patients receive that treatment modality. Radiotherapy of pelvic, spine, or testicles could cause infertility and oligospermia due to direct effect on the gonads. The testicle, as a high radiosensitive tissue, faces functional disorder with the lowest dose of 0.15 Gy and oligospermia with 0.3–0.5 Gy. Since protection against adverse effects of Radiation is essential, studies are being done to find out radioprotectors with the non-toxic properties. Probiotics are living microorganisms, the effects of which on the intestinal microbial flora can boost the immune system.Methods: Male Wistar albino rats were subjected to dietary supplements, including Lactobacillus Casei and Lactobacillus acidophilus, in four groups, for 17 weeks. After being exposed by 2 Gy gamma radiations, the testicular tissue was extracted, and the expression of the apoptotic genes of Bax, Bcl2...

Background Identifying the level of radiology students and radiologist's awareness about thei... more Background Identifying the level of radiology students and radiologist's awareness about their knowledge of radiation risks and radiation protection and their understanding of radiation dose levels in medical imaging tests will help global and national lawmakers adjust laws according to the recognized need in studies. The significance of this study is further enhanced when it is considered a lack of radiation awareness may increase the risk of radiation damage to themselves and patients. Method: This Crossectional study is done on 180 people, including 62 people were students (radiology residents and technologists), and 118 people were radiology staff (radiologists and radiographers). For measuring the awareness of participants, a prepared questionnaire which had a total of 22 questions. The poll was divided into three sections of which: Demographics data, Radiation protection awareness, and knowledge of radiologists about dose assessment. The questionnaire reliability was asses...