Publications by authors named "Javad Zarei"

Health information management is a vital and constructive component of the health system, refers to the process of producing and collecting, organising and storing, analysing, disseminating and using information. The aim of this study was to evaluate the strengths and weaknesses of the information management system in epidemic infectious diseases in Iran, specifically focusing on the registration, reporting, quality, confidentiality, and security of infectious disease data. This assessment was conducted from the perspective of policymakers and experts responsible for data registration and reporting.

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Cancer patients are more exposed to opportunistic infections, such as COVID-19, due to their poor health status. This study aimed to identify the clinical characteristics of cancer and non-cancer patients with COVID-19 that may lead to death, intubation, and ICU admission. A Multicenter Cross-Sectional study was conducted on confirmed COVID-19 adult patients with and without a history of cancer from March 2019 to March 2021.

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Background: Depression and anxiety are among the most critically recognized psychological complication of the COVID-19 pandemic.

Aim: This study aimed to examine the two predictors among COVID-19 survivors in Ahvaz, Iran, in 2022.

Methodology: Using a descriptive-analytical design, 347 COVID-19 survivors referred to hospitals in Ahvaz were meticulously examined.

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Background And Aims: Spinal canal stenosis is one of the most common vertebral column diseases, which can lead to disability. Developing a registry system can help in research on the prevention and effective treatment of it. This study designs a minimum data set (MDS) as the first step in creating a registry system for spinal canal stenosis.

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Background And Aim: Gestational diabetes mellitus (GDM) is associated with a considerable risk of diabetes in the future. Few studies focused on the association between hemoglobin levels and developing gestational diabetes. This study aimed to determine the association of hemoglobin in early pregnancy and developing gestational diabetes mellitus.

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Background: One of the challenges when transitioning from International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) to International Classification of Diseases, 11th Revision (ICD-11) is to ensure clinical coding accuracy.

Objective: To determine the accuracy of clinical coding with ICD-11 in comparison with ICD-10 and identify causes of coding errors in real clinical coding environments.

Method: The study was conducted prospectively in two general hospitals.

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Background: Perception of the threatening disease leads to coping behaviors that can affect the treatment process. Social support can be one of the factors influencing the perception of the disease and coping strategies. Our study aimed to determine the perception of the disease, its relationship with coping strategies and social support in COVID-19 patients in Iran.

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Background: The importance of successful implementation of e-learning, especially since the emergence of the Covid-19 pandemic, has become increasingly apparent to universities. Thus, identifying the effective factors in adopting e-learning in the Covid-19 pandemic is crucial. This study was conducted to identify determining factors in adopting E-learning in healthcare.

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In recent years, COVD-19 has made millions of death worldwide. When reviewing the death rate, we encountered a very notable difference in death rate of Iran and Iraq, which are two neighboring countries. Investigating the COVID-19 risk factors, parameters, such as ethnicity and vaccination, do not appear not to be affecting our observation.

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Prediction of the death among COVID-19 patients can help healthcare providers manage the patients better. We aimed to develop machine learning models to predict in-hospital death among these patients. We developed different models using different feature sets and datasets developed using the data balancing method.

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Background: Internet addiction (IA) is a severe problem, especially in academic communities. The association between IA and unfavorable emotional conditions (e.g.

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Background: From the beginning of the COVID-19 pandemic, the development of infrastructures to record, collect and report COVID-19‏ ‏data has become a fundamental necessity in the world. The disease registry system can help build an infrastructure to collect data systematically. The study aimed to design a minimum data set for the COVID-19 registry system.

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Disease registry systems provide a strong information infrastructure for decision-making and research. The purpose of this study is to describe the implementation method and protocol of the COVID-19 registry in Khuzestan province, Iran. We established a steering committee and formulated the purposes of the registry.

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Nowadays, increasing extended-spectrum β-lactamase (ESBL)-producing bacteria have become a global concern because of inducing resistance toward most of the antimicrobial classes and making the treatment difficult. In order to achieve an appropriate treatment option, identification of the prevalent species which generate ESBL as well as their antibiotic susceptibility pattern is essential worldwide. Hence, this study aimed to investigate the prevalence of ESBL-producing bacteria and assess their drug susceptibility in Fardis Town, Iran.

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Background: Standardized data collection supports disease information management and leads to better quality of care. The Islamic Republic of Iran lacks a standard data set for data collection in hospitals.

Aims: The aim of this study was to design a minimum data set for hospital information systems in the Islamic Republic of Iran.

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Background: Electronic Medical Record (EMR) offers remarkable facilities such as reducing medical errors, decreasing healthcare costs and promoting quality of healthcare services by collecting, storing and displaying information at the point of care.

Aims: This study was carried out to identify the determinants of electronic medical record (EMR) adoption by presenting a comprehensive model.

Methods: This was a cross-sectional study in which 330 healthcare personnel working in hospitals affiliated to Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran, were selected as the study sample.

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Background: Pseudomonas aeruginosa is a major cause of hospital-acquired infection due to its high antibiotic resistance and biofilm formation ability. P. aeruginosa produces elastase lasB during biofilm formation, which can influence properties of biofilm.

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Background: People with poor health literacy are those who have less knowledge about disease management and health promotion behaviors, and generally have poorer health status.

Objective: The aim of this study was to investigate the impact of qualitative components of the health website of Semnan University of Medical Sciences on the students' health literacy.

Methods: This study was performed on 529 medical and allied health students in schools affiliated to Semnan University of Medical Sciences, Iran in 2016-2017.

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Background: Rural health houses constitute a major provider of some primary health services in the villages of Iran. Given the challenges of providing health services in rural areas, health houses should be established based on the criteria of health network systems (HNSs). The value of these criteria and their precedence over others have not yet been thoroughly investigated.

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Background: In recent years, hospitals in Iran - similar to those in other countries - have experienced growing use of computerized health information systems (CHISs), which play a significant role in the operations of hospitals. But, the major challenge of CHIS use is information security. This study attempts to evaluate CHIS information security risk management at hospitals of Iran.

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