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Zohreh Javanmard, Marziyhe Meraji, Mahsa Gholizad, Fatemeh Ameri,
Volume 17, Issue 4 (10-2023)
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: With the increase of the covid-19 epidemic, wearable devices have received a lot of attention in the field of managing this disease. The present systematic review study was conducted with the aim of investigating the role of wearable devices in the management of the covid-19 disease.
Materials and Methods: The present study was conducted according to the guidelines of PRISMA. For this purpose, Web of Science, PubMed, and Scopus databases were searched to retrieve English articles without time limit, until August 16, 2022. The search strategy included the terms “Wearable Device” and “COVID-19”. The inclusion criteria for the study were original and English-language articles that have been carried out to design and implement wearable tools in managing Covid-19. All short articles, letters to the editor, conference abstracts, observational studies, review articles, as well as articles whose full version was not available and in a language other than English, as well as unimplemented items, were excluded from the study process. In order to evaluate the quality of articles, the AXIS evaluation tool was used to evaluate the quality of cross-sectional studies. After selecting the studies, data was collected based on the data extraction form. Then the data was analyzed through the content analysis method.
Results: Finally, 10 articles were included in the present review and the wearable devices introduced in them were examined. Seventy percent of wearable devices are used for symptom monitoring, health status, and quarantine, and 30% for diagnosis. The primary users of these tools were patients, the general public, doctors, and Authorities of statistics and information. The types of wearable devices used were bracelets and smart watches (60%), sensors (30%), pulse oximeters, and chest patches (10%).The most important capability and feature of wearable devices include transferring data and activities to mobile phones and low energy consumption. Using the AXIS quality assessment tool, four studies were rated as very good, five as good, and one as poor.
Conclusion: The review of studies showed that wearable devices provide many capabilities for disease monitoring and patient empowerment, disease diagnosis, and remote monitoring of vital signs of Covid-19 patients. These tools are presented in different forms. It is suggested to develop new tools with the aim of monitoring the covid-19 disease with an emphasis on the use of patients in the form of bracelets and smartwatches, and also the necessary attention should be paid to privacy and confidentiality issues.
Hamid Moghaddasi, Farkhondeh Asadi, Azamossadat Hosseini, Masoomeh Nouri Tahneh,
Volume 17, Issue 4 (10-2023)
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: The Hospital Information System is a complete one to provide high-quality patient care and enhance community health, so it must be designed and produced accordingly. In this regard, the current research was carried out with the aim of providing the document of standards for producing Hospital Information System software for Iran.
Materials and Methods: In this study, following extraction of the features and services of the Hospital Information System from the texts, they were matched with the generalities of the document of standards compiled by the Statistical Data Management and Information Technology Office of the Ministry of Health, Treatment, and Medical Education (SDMITO). Also, the Hospital Information System was reviewed observationally, all defects of document of standards were identified, and the document was amended throughout. After providing the proposed document of standards, it was consulted by a group of experts, which included ten health information management professors, ten medical informatics professors (with at least seven years of experience as members of the academic staff), and five heads of the information technology field of the Ministry of Health. An agreement coefficient of 85% was considered to accept and approve the document of standards. After obtaining the agreement coefficient, The Hospital Information System software production document of standards was provided.
Results: The document of standards provided for the production of Hospital Information System software includes the Hospital Information System design meta model, Hospital Information System subtypes, standards for the structure and content of Electronic Health Record, information terminology standards, data classification standards, security data standards, data exchange standards, clinical services, and management services, which were placed in the four areas of “features”, “services”, “documentation requirements” and “rules and policies”.
Conclusion: The application of this document of standards leads to the production of a higher quality, efficient, and standard Hospital Information System software, which is effective in improving the health level of society and provides the conditions for the implementation of Electronic Health Record.
Alireza Hajizadeh, Reza Hafezi, Mrs Maryam Tajvar,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: Futures studies are constantly evolving and help organizations and individuals for better identification of future events, opportunities, and threats. In the field of health, futures studies are also applied for better prediction of health issues in future, control of unpleasant condition and preparing for pleasant future in health system. The purpose of this study is to conduct a scoping review of the futures studies accomplished in the field of health in Iran,
Materials and Methods: This study is a scoping review, conducted based on the Arksey and O’Malley framework with 6 steps including research question identification, related study identification, study selection / screening, data segmentation, summarizing and reporting results and providing guidance and recommendations n. National and international databases and search engines including PubMed, Web Of Science (WOS), Scopus, ProQuest, SID, Magiran, IranDoc and Google Scholar were searched using related keywords. After removing duplicate articles, the remaining articles were screened according to inclusion and exclusion criteria. The results of the selected articles were finally categorized, summarized and reported based on the mentioned steps.
Results: Among of 6691 articles identified, 30 articles reached the final synthesis stage. The articles were classified into forecasting, foresighting, and mixed categories, with the scenario writing method being the most widely used and applied in 20 studies. Also, studies were classified in scope of nature based on quantitative or qualitative and time horizon. Types of futures studies methods in Iran, in the fields of public health, medicine, science and technology, financing, prescription, health tourism, diet, human resources, aging, Covid-19 epidemic, health policy, hospital and macro level of health system were used.
Conclusion: The use of futures studies methods in a targeted manner and on the issues of Iran’s health system can play an effective role in knowing the future for more informed decision-making and planning in order to build a desirable future. The results of this review showed that scattered studies have been conducted with futures studies methods in the field of health, among which the scenario writing method has received more attention.
Rasul Bidel Nikoo, Shila Hasanzadeh, Mohamad Jebraeily, Naser Masoudi, Bahlol Rahimi, Farshad Faghisolouk,
Volume 17, Issue 6 (2-2024)
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Traffic accidents in Iran are one of the main causes of mortality and morbidity, identifying the factors related to these accidents can be useful in the prevention and proper management of traffic accidents. The purpose of this study was to determine the epidemiology of trauma caused by traffic accidents in Imam Khomeini hospital in Urmia during 2017-2022.
Materials and Methods: The current research is a cross-sectional descriptive study that was conducted on patients hospitalized due to traffic accidents in Imam Khomeini hospital in Urmia for five years. The required data included demographic characteristics and information of the injured (role of the injured, time of the accident, location of the accident, type of vehicle, damaged area, and condition of the injured during discharge), which was extracted from the trauma registration system of Urmia University of Medical Sciences. After collecting the data, it was entered into SPSS 16 software and described through frequency distribution table and central and dispersion indices
Results: In this study, out of 2086 injured cases, 74.40% (1552 people) were male. The average age of the injured was 34.49 ± 18.47 years. The type of accidental vehicle of most of the injured was motorcycle with 56.70% (998 cases). The most injured were drivers with 52.73% (1100 cases) and among them 57.45% (632 people) were motorcycle riders. 34.08% (711 cases) of injuries to body parts were in the head, neck and face.
Conclusion: The results of this research showed that most of the injured in traffic accidents are young motorcycle drivers and the most injuries were related to the head and neck area. Therefore, by knowing the risk factors and the impact of each of them on the outcome of traffic accidents, it is necessary to carry out appropriate interventions to prevent the risky behaviors of young drivers and create a culture of observing safety tips. Also, in the health system, the necessary preparations in terms of manpower and medical equipment should be made to manage the treatment of injuries caused by traffic accidents.
Materials and Methods: The current research is a cross-sectional descriptive study that was conducted on patients hospitalized due to traffic accidents in Imam Khomeini hospital in Urmia for five years. The required data included demographic characteristics and information of the injured (role of the injured, time of the accident, location of the accident, type of vehicle, damaged area, and condition of the injured during discharge), which was extracted from the trauma registration system of Urmia University of Medical Sciences. After collecting the data, it was entered into SPSS 16 software and described through frequency distribution table and central and dispersion indices
Results: In this study, out of 2086 injured cases, 74.40% (1552 people) were male. The average age of the injured was 34.49 ± 18.47 years. The type of accidental vehicle of most of the injured was motorcycle with 56.70% (998 cases). The most injured were drivers with 52.73% (1100 cases) and among them 57.45% (632 people) were motorcycle riders. 34.08% (711 cases) of injuries to body parts were in the head, neck and face.
Conclusion: The results of this research showed that most of the injured in traffic accidents are young motorcycle drivers and the most injuries were related to the head and neck area. Therefore, by knowing the risk factors and the impact of each of them on the outcome of traffic accidents, it is necessary to carry out appropriate interventions to prevent the risky behaviors of young drivers and create a culture of observing safety tips. Also, in the health system, the necessary preparations in terms of manpower and medical equipment should be made to manage the treatment of injuries caused by traffic accidents.
Azam Shahbodaghi, Maryam Shekofteh, ,
Volume 17, Issue 6 (2-2024)
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Systematic reviews and meta-analyses are the most reliable sources of evidence in evidence-based practice. Analyzing the scientometric and authorship features of these articles at the national level can provide useful information for various decision-makers. This study aimed to investigate the scientometric and authorship characteristics of Iran’s systematic review and meta-analysis articles indexed in Scopus.
Materials and Methods: The current research was conducted using a scientometric approach. The research population includes 9579 systematic review and meta-analysis articles published between 2011 and 2021, and Iran is the affiliated country of at least one of the authors. The quantitative and qualitative growth process of articles as well as the authorship characteristics are examined in this research, among other things.
Results: Review of 9579 articles indicate an increasing trend in the publication, with the highest number of articles (2565) being published in 2021. The thematic analysis shows that the majority of articles are related to the field of Medicine, with 7112 articles, followed by Biochemistry, Genetics, and Molecular Biology with 1433 articles. The highest H-index, 68, refers to the year 2018 and the highest percentage of articles included in the Hirsch Index horizon refers to the year 2011. The highest average number of citations per article is 146.44, observed in 2012, while the lowest is 4.62, reported in 2021. The highest average number of citations in relation to the age of the articles was 9735/34 in 2020, whereas the minimum was 279 in 2011.Calculating the percentage of articles above the H-index horizontal line based on total articles of each year, along with the average citation per article, shows a decreasing trend with slight fluctuations. On the other hand, there is a growing trend when considering the number of citations in relation to the age of the articles. The lowest average author count (5.48) is linked to 2011, whereas the highest count (12) is related to 2012. The first and the corresponding author of more than 91% of the articles was from Iran. In conducting the examined articles, researchers from the United States collaborated the most (12.05%) with researchers from Iran. University of Tehran, as the authors' affiliated organization, has contributed the most to the examined articles (27.81%). The Iranian Journal of Public Health has published the most of the examined articles (36/1%).
Conclusion: The articles under investigation show an increasing trend of growth, yet further research is needed to assess their qualitative trend. Given the rising significance of evidence-based practice, the stakeholders need to ensure the maintenance of the quantitative growth trend and the enhancement of the qualitative growth of these articles.
Malihe Ghanaatjoo, Nader Jahanmehr, Dr. Hamed Dehnavi, Aida Samadi,
Volume 18, Issue 2 (5-2024)
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: The increase in the amount of information and the need for their daily monitoring have led to the development of tools called management dashboards that have the ability to analyze graphical data. In addition to preparing quick reports in different time frames and user-specific format, the dashboard can be useful for providing dynamic updated information for accurate decision-making and quick response to changes.
Materials and Methods: The current research was carried out in the form of qualitative studies and participatory action research method in 9 steps. In this applied and developmental research that was conducted cross-sectionally using the data of the first half of 2022, 11 members of the leadership team of a super-specialized children’s hospital were selected as research participants. The data collection tool was an interview using a questionnaire to determine the importance of indicators and a usability questionnaire (usability) of the dashboard based on three independent variables (usefulness, ease of use and satisfaction). The Excel file of data needed for the dashboard was collected from the HIS system of the hospital, and the dashboard was designed with Power BI software, and the capabilities and access levels of users were determined based on their duties. Data analysis was done using descriptive statistics and Excel software version 2016.
Results: In the stage of determining key performance indicators, out of 39 indicators selected by the research team, 22 indicators scored an average score of 4 or higher (from 5 points) and 21 indicators were able to be implemented. The data repository in Excel format was used as an intermediate environment. The dashboard was displayed on six pages (indicators related to the performance of inpatient beds, mortality, emergency and other indicators) and the capabilities of each page were determined. After implementing the dashboard and determining the access levels of users, obtaining a high score from the questions of the usability questionnaire (5 out of 7 points) and obtaining an average score of 71.8 out of 5 questions related to usefulness variables, 70.5 out of 8 questions related to ease of use. And 71 out of 3 questions related to the satisfaction variable showed that the dashboard designed for the hospital had high usability.
Conclusion: Hospital management dashboard information can be a basis for informed decision-making to achieve benefits such as identifying the best performance, improving performance quality, making faster decisions, reducing errors, improving capacity management and work flow, allocating resources and planning for growth and development.
Materials and Methods: The current research was carried out in the form of qualitative studies and participatory action research method in 9 steps. In this applied and developmental research that was conducted cross-sectionally using the data of the first half of 2022, 11 members of the leadership team of a super-specialized children’s hospital were selected as research participants. The data collection tool was an interview using a questionnaire to determine the importance of indicators and a usability questionnaire (usability) of the dashboard based on three independent variables (usefulness, ease of use and satisfaction). The Excel file of data needed for the dashboard was collected from the HIS system of the hospital, and the dashboard was designed with Power BI software, and the capabilities and access levels of users were determined based on their duties. Data analysis was done using descriptive statistics and Excel software version 2016.
Results: In the stage of determining key performance indicators, out of 39 indicators selected by the research team, 22 indicators scored an average score of 4 or higher (from 5 points) and 21 indicators were able to be implemented. The data repository in Excel format was used as an intermediate environment. The dashboard was displayed on six pages (indicators related to the performance of inpatient beds, mortality, emergency and other indicators) and the capabilities of each page were determined. After implementing the dashboard and determining the access levels of users, obtaining a high score from the questions of the usability questionnaire (5 out of 7 points) and obtaining an average score of 71.8 out of 5 questions related to usefulness variables, 70.5 out of 8 questions related to ease of use. And 71 out of 3 questions related to the satisfaction variable showed that the dashboard designed for the hospital had high usability.
Conclusion: Hospital management dashboard information can be a basis for informed decision-making to achieve benefits such as identifying the best performance, improving performance quality, making faster decisions, reducing errors, improving capacity management and work flow, allocating resources and planning for growth and development.
Fatemeh Mirshekari, Elham Maserat,
Volume 18, Issue 2 (5-2024)
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: Considering the growing trend of cancer in Iran, the development and implementation of digital health literacy systems accelerates the capabilities of digital health and the self-management process of patients. Digital health literacy means the ability to effectively and consciously use digital technologies to access health-related information and services. This skill plays an important role in accessing medical information, disease management, improving the quality of life of people, especially cancer patients. Digital health literacy is considered as one of the most key factors of equal access to digital health information. The purpose of the present study was to formulate the requirements of the digital health literacy system with a focus on cancer.
Materials and Methods: The present study was conducted in two phases of literature review and validity and reliability of requirements in 2023. In the first stage, a literature review was conducted with the keywords of digital health literacy, cancer, requirements, system and application in databases such as PubMed, Scopus, Google Scholar, academic Jihad scientific database and specialized websites. To check the content validity of the survey, 62 experts were surveyed and CVI and CVR were calculated.
Results: Hundered and twenty seven functional and non-functional components were approved. Requirements in the functional section was divided in six main dimensions information literacy module (8 functional components), information and communication technology literacy module (18 functional components), media literacy (5 functional components), public, specialized and population-oriented health literacy module (47 functional components) ), digital health literacy module (28 functional components), and digital health literacy module in cancer (6 functional components) were divided. In the section of digital health literacy in cancer, the main components of needs assessment, digital health literacy training, evaluation and monitoring of the effectiveness of digital interventions and information search skills were approved. Fifteen non-functional components were also approved. Cronbach’s alpha coefficient obtained (92%) indicated high reliability and reproducibility.
Conclusion: Digital health literacy systems can facilitate health care services. Considering the acceptable validity and reliability of the study, the defined requirements can be used to implement digital health literacy systems centered on cancer.
Materials and Methods: The present study was conducted in two phases of literature review and validity and reliability of requirements in 2023. In the first stage, a literature review was conducted with the keywords of digital health literacy, cancer, requirements, system and application in databases such as PubMed, Scopus, Google Scholar, academic Jihad scientific database and specialized websites. To check the content validity of the survey, 62 experts were surveyed and CVI and CVR were calculated.
Results: Hundered and twenty seven functional and non-functional components were approved. Requirements in the functional section was divided in six main dimensions information literacy module (8 functional components), information and communication technology literacy module (18 functional components), media literacy (5 functional components), public, specialized and population-oriented health literacy module (47 functional components) ), digital health literacy module (28 functional components), and digital health literacy module in cancer (6 functional components) were divided. In the section of digital health literacy in cancer, the main components of needs assessment, digital health literacy training, evaluation and monitoring of the effectiveness of digital interventions and information search skills were approved. Fifteen non-functional components were also approved. Cronbach’s alpha coefficient obtained (92%) indicated high reliability and reproducibility.
Conclusion: Digital health literacy systems can facilitate health care services. Considering the acceptable validity and reliability of the study, the defined requirements can be used to implement digital health literacy systems centered on cancer.
Hojjat Rahmani, Sadegh Moradi, Nayeb Fadaei Dehcheshmeh,
Volume 18, Issue 4 (10-2024)
Volume 18, Issue 4 (10-2024)
Abstract
Background and Aim: The fundamental right and most valuable asset for all strata of society is the enjoyment of health. Individuals residing in nomadic settings face geographical, social, cultural, and linguistic barriers when seeking access to essential services. The provision of healthcare services to nomads has become a complex issue due to the nature of the lifestyle. The aim of this study was to assess the challenges in the provision of healthcare services among the nomads in the Khuzestan province.
Materials and Methods: This study uses a qualitative approach, involving seventeen managers and staff from health centers affiliated with Ahvaz University of Medical Sciences. The data collection approach was inductive. Data were gathered through individual interviews, and participants’ opinions were recorded. The data were analyzed using the conventional content analysis method with a mixed approach (deductive and inductive). The credibility and quality of the data were assessed using the Guba and Lincoln method.
Results: The challenges in providing healthcare services in nomads were identified in nine categories and three overarching themes. The themes encompassed the nature and characteristics of the non-sedentary populations, the healthcare system, and the responsibilities of other sectors. The nature and characteristics of the nomads were categorized into five categories: demographic, cultural, climatic-geographic, socio-ethnic-tribal, and lifestyle. The healthcare delivery comprises of two aspects: structural and procedural. Additionally, the duties of other development sectors were categorized into two categories: infrastructures and inter-sectoral collaborations. The results showed that nomads face barriers to receiving healthcare due to the inherent characteristics of them, the healthcare system, and the performance of other organizations. The unstable population, cultural diversity, scattered distribution of the population, and their ethnic and migration-based lifestyle are among the inherent characteristics of nomads that impact the provision of services.
Conclusion: The provision of health services to nomads is influenced by recipients’ and providers’ characteristics. Decision-makers and managers, considering the unique conditions of life in the design and implementation of health programs, decision-makers and managers should prioritize strengthening healthcare networks in hard-to-reach areas. Given the limited resources and infrastructure weaknesses in settlements, inter-sectoral collaboration and the development of resources and infrastructure (applying the One Health approach) are important.
Materials and Methods: This study uses a qualitative approach, involving seventeen managers and staff from health centers affiliated with Ahvaz University of Medical Sciences. The data collection approach was inductive. Data were gathered through individual interviews, and participants’ opinions were recorded. The data were analyzed using the conventional content analysis method with a mixed approach (deductive and inductive). The credibility and quality of the data were assessed using the Guba and Lincoln method.
Results: The challenges in providing healthcare services in nomads were identified in nine categories and three overarching themes. The themes encompassed the nature and characteristics of the non-sedentary populations, the healthcare system, and the responsibilities of other sectors. The nature and characteristics of the nomads were categorized into five categories: demographic, cultural, climatic-geographic, socio-ethnic-tribal, and lifestyle. The healthcare delivery comprises of two aspects: structural and procedural. Additionally, the duties of other development sectors were categorized into two categories: infrastructures and inter-sectoral collaborations. The results showed that nomads face barriers to receiving healthcare due to the inherent characteristics of them, the healthcare system, and the performance of other organizations. The unstable population, cultural diversity, scattered distribution of the population, and their ethnic and migration-based lifestyle are among the inherent characteristics of nomads that impact the provision of services.
Conclusion: The provision of health services to nomads is influenced by recipients’ and providers’ characteristics. Decision-makers and managers, considering the unique conditions of life in the design and implementation of health programs, decision-makers and managers should prioritize strengthening healthcare networks in hard-to-reach areas. Given the limited resources and infrastructure weaknesses in settlements, inter-sectoral collaboration and the development of resources and infrastructure (applying the One Health approach) are important.
Mohammadhiwa Abdekhoda, Taha Samad Soltani, Leial Ghaderi Nansa,
Volume 18, Issue 6 (2-2025)
Volume 18, Issue 6 (2-2025)
Abstract
Background and Aim: Establishing dynamic relationships between graduates and current students should be a high priority for universities striving to progress in the rapidly changing and competitive market of third-generation universities. Due to the lack of effective communication with graduates in Iranian universities and the role of these systems in the technology ecosystem, the aim of this study is to analyze the needs of a graduate alumni management system and propose a conceptual model.
Materials and Methods: The research consisted of two main phases: needs analysis and process and software design. During the requirements engineering, as described in systems analysis and design references, a quick review was first conducted in selected databases regarding the capabilities and use cases of existing studies and the proposed features of innovative graduate alumni management systems. The extracted items from the rapid review were presented in a checklist. Then, functional requirements were extracted through interviews with 10 experts from the university’s educational deputy and faculty, using a two-round Delphi method. In the next stage, work processes were observed, and process owners were interviewed. UML diagrams were used to achieve a suitable description of a good system.
Results: In this study, the requirements were categorized into two main groups, comprising 37 functional and non-functional needs. The functional category included three significant subcategories: basic needs, social needs, and innovation needs. Basic needs encompassed the essentials required for the system’s fundamental operation. Social needs referred to the system’s ability to facilitate user interactions, while innovation needs involved new and creative features that could be added to the system. A software engineering specialist analyzed these functional needs and translated them into system use cases to be effectively incorporated into the system’s development.
Conclusion: The proposed conceptual model of the graduate alumni management system was analyzed and modeled based on user-centered requirements engineering. The proposed model provides a practical document for the effective implementation of a communication mechanism and active interaction between graduates, as well as current students, faculty members, and other staff in an innovation and entrepreneurship ecosystem.
Materials and Methods: The research consisted of two main phases: needs analysis and process and software design. During the requirements engineering, as described in systems analysis and design references, a quick review was first conducted in selected databases regarding the capabilities and use cases of existing studies and the proposed features of innovative graduate alumni management systems. The extracted items from the rapid review were presented in a checklist. Then, functional requirements were extracted through interviews with 10 experts from the university’s educational deputy and faculty, using a two-round Delphi method. In the next stage, work processes were observed, and process owners were interviewed. UML diagrams were used to achieve a suitable description of a good system.
Results: In this study, the requirements were categorized into two main groups, comprising 37 functional and non-functional needs. The functional category included three significant subcategories: basic needs, social needs, and innovation needs. Basic needs encompassed the essentials required for the system’s fundamental operation. Social needs referred to the system’s ability to facilitate user interactions, while innovation needs involved new and creative features that could be added to the system. A software engineering specialist analyzed these functional needs and translated them into system use cases to be effectively incorporated into the system’s development.
Conclusion: The proposed conceptual model of the graduate alumni management system was analyzed and modeled based on user-centered requirements engineering. The proposed model provides a practical document for the effective implementation of a communication mechanism and active interaction between graduates, as well as current students, faculty members, and other staff in an innovation and entrepreneurship ecosystem.
Maryam Katebi, Masoud Bahreini, Razieh Bagherzadeh, Shahnaz Pouladi,
Volume 18, Issue 6 (2-2025)
Volume 18, Issue 6 (2-2025)
Abstract
Background and Aim: Nurse managers leverage managerial intelligence to mitigate decision-making challenges and systemic issues. Emotional intelligence, a crucial aspect of managerial intelligence, is vital for job performance and leadership. This skill enables managers to comprehend their emotions and those of others and establish more effective communication. Also, managers in complex environments, such as hospitals, need systemic thinking. Systemic thinking enables managers to solve problems comprehensively, enhancing decision-making accuracy and efficiency. This study was conducted to determine the relationship between emotional intelligence and systemic thinking in nurse managers of affiliated hospitals of Bushehr University of Medical Sciences.
Materials and Methods: The present study is a descriptive-analytical correlational study. One hundred and forty-five nurse managers working in Bushehr University of Medical Sciences-affiliated hospitals were included in the study based on the inclusion criteria. The sampling was done as a full census. Data were collected using the demographic information form, Bradbury and Graves’ emotional intelligence questionnaire, and Amini et al.’s systemic thinking questionnaire. Data were analyzed using SPSS software, descriptive statistics (frequency, mean, and standard deviation), and analytical statistics (Pearson correlation coefficient). A significance level of less than 0.05 was considered in all cases.
Results: This study involved 145 nurse managers, 88.3% female, 84.8% married, and 87.6% holding a Bachelor of Science in Nursing (BSN). The mean age and average tenure in managerial positions were 41.93±6.37 and 8.68±6.52 years, respectively. The mean score for emotional intelligence (EI) among nurse managers was 130.81±11.84 (range: 28-168), while the mean score for systems thinking (ST) was 43.30±5.90 (range: 8-56). A positive correlation was found between emotional intelligence and systems thinking (r=0.365, P<0.001); however, EI was not a significant predictor of ST (β=0.131, P=0.146).
Conclusion: Considering the positive correlation between emotional intelligence and systemic thinking as essential management competencies, it is suggested that training these skills should be considered in continuing education programs for nurses and nurse managers. This will help managers strengthen their emotional intelligence and apply systemic strategies in nursing management.
Materials and Methods: The present study is a descriptive-analytical correlational study. One hundred and forty-five nurse managers working in Bushehr University of Medical Sciences-affiliated hospitals were included in the study based on the inclusion criteria. The sampling was done as a full census. Data were collected using the demographic information form, Bradbury and Graves’ emotional intelligence questionnaire, and Amini et al.’s systemic thinking questionnaire. Data were analyzed using SPSS software, descriptive statistics (frequency, mean, and standard deviation), and analytical statistics (Pearson correlation coefficient). A significance level of less than 0.05 was considered in all cases.
Results: This study involved 145 nurse managers, 88.3% female, 84.8% married, and 87.6% holding a Bachelor of Science in Nursing (BSN). The mean age and average tenure in managerial positions were 41.93±6.37 and 8.68±6.52 years, respectively. The mean score for emotional intelligence (EI) among nurse managers was 130.81±11.84 (range: 28-168), while the mean score for systems thinking (ST) was 43.30±5.90 (range: 8-56). A positive correlation was found between emotional intelligence and systems thinking (r=0.365, P<0.001); however, EI was not a significant predictor of ST (β=0.131, P=0.146).
Conclusion: Considering the positive correlation between emotional intelligence and systemic thinking as essential management competencies, it is suggested that training these skills should be considered in continuing education programs for nurses and nurse managers. This will help managers strengthen their emotional intelligence and apply systemic strategies in nursing management.
Ayoub Mohamadian, Ali Moeini, Mahnaz Sanjari, Zahra Abdullahzade,
Volume 18, Issue 6 (2-2025)
Volume 18, Issue 6 (2-2025)
Abstract
Background and Aim: Smart health, due to its capacity in disease prevention, is a suitable solution for providing osteoporosis fracture prevention services. Also, the existence of close relationships between active organizations for the prevention of this disease requires this area to be examined from the perspective of the ecosystem. Therefore, the purpose of this study is to identify the factors and players of the ecosystem of preventing fractures caused by osteoporosis in smart health.
Materials and Methods: A qualitative systematic review of meta-synthesis was conducted to find resources related to the prevention of osteoporosis-related fractures. For this purpose, scientific databases of Web of Science, Scopus and PubMed were examined and 155 were selected from 10344 sources found. At the end, by using the Shannon entropy method, the categories of each dimension were ranked.
Results: This systematic review demonstrated that the ecosystem for preventing fractures caused by osteoporosis comprises four main categories of factors: lifestyle (nutrition, exercise, fall prevention, cessation of tobacco, alcohol, and caffeine consumption), clinical (screening, diagnosis, and drug therapy), technological (infrastructure, platform, and application), and contextual (cultural, social participation, policy, economic, and education). The application and infrastructure secured the first and second positions in the ranking, while the platform and education collectively ranked third. Ecosystem participants were also categorized into three core layers: the fracture prevention and treatment team members, firms related to fracture prevention and treatment, and other health stakeholders; the extended layer, which includes affected or at-risk individuals, education stakeholders, cultural stakeholders, social stakeholders, and health stakeholders; and the external layer, comprising international organizations and national ministries. In the ranking, affected or at-risk individuals, other health stakeholders, and fracture prevention and treatment team members earned first to third positions, respectively.
Conclusion: The research results showed that “technological”, “contextual”, “lifestyle change” and “clinical” factors are in the first to fourth places, respectively. Also, among the players, the first place was assigned to the extended layer, the main core took the second place, and the external layer took the third place.
Materials and Methods: A qualitative systematic review of meta-synthesis was conducted to find resources related to the prevention of osteoporosis-related fractures. For this purpose, scientific databases of Web of Science, Scopus and PubMed were examined and 155 were selected from 10344 sources found. At the end, by using the Shannon entropy method, the categories of each dimension were ranked.
Results: This systematic review demonstrated that the ecosystem for preventing fractures caused by osteoporosis comprises four main categories of factors: lifestyle (nutrition, exercise, fall prevention, cessation of tobacco, alcohol, and caffeine consumption), clinical (screening, diagnosis, and drug therapy), technological (infrastructure, platform, and application), and contextual (cultural, social participation, policy, economic, and education). The application and infrastructure secured the first and second positions in the ranking, while the platform and education collectively ranked third. Ecosystem participants were also categorized into three core layers: the fracture prevention and treatment team members, firms related to fracture prevention and treatment, and other health stakeholders; the extended layer, which includes affected or at-risk individuals, education stakeholders, cultural stakeholders, social stakeholders, and health stakeholders; and the external layer, comprising international organizations and national ministries. In the ranking, affected or at-risk individuals, other health stakeholders, and fracture prevention and treatment team members earned first to third positions, respectively.
Conclusion: The research results showed that “technological”, “contextual”, “lifestyle change” and “clinical” factors are in the first to fourth places, respectively. Also, among the players, the first place was assigned to the extended layer, the main core took the second place, and the external layer took the third place.
Faezeh Sadat Bahrololoumi Tabatabai, Nosrat Riahinia, Davoud Haseli, Fatemeh Pazouki,
Volume 19, Issue 2 (7-2025)
Volume 19, Issue 2 (7-2025)
Abstract
Background and Aim: With the increasing elderly population and their specific needs, access to health information in public libraries has become increasingly important. Public libraries can play a crucial role in providing reliable health information and enhancing health literacy among the elderly. This study aimed to identify the health information needs of the elderly in public libraries based on global experiences.
Materials and Methods: This study was conducted as a systematic review using the Kitchenham and Charters framework. Relevant articles were retrieved from three major citation databases—PubMed, Scopus, and Web of Science—covering the period from 2010 to 2024. Relevant keywords were used for searches, and reference lists and citations of the retrieved documents were examined to ensure comprehensive coverage. Inclusion criteria consisted of research articles related to the health information needs of the elderly in public libraries. Ultimately, 40 English-language articles were selected and analyzed. The extracted data were coded and categorized qualitatively.
Results: The findings indicated that the health information needs of the elderly in public libraries could be classified into four main categories: (1) Information Needs, including access to diverse health information resources, primary health information, public health and prevention information, and self-care and personal empowerment resources; (2) Educational Needs, encompassing information literacy, health information literacy, and educational events; (3) Social and Cultural Needs, including cultural and recreational activities, social and communication needs, social participation, and reducing social exclusion; and (4) Library Services and Facilities, comprising appropriate physical spaces, assistive reading technologies, and mobile and remote library services.
Conclusion: With the growing elderly population, public libraries face a critical responsibility in promoting the health and well-being of this demographic. The findings of this study reveal that the health information needs of the elderly extend beyond mere access to resources; they encompass educational, social-cultural, and library service dimensions. Therefore, it is essential to move beyond traditional information dissemination approaches and adopt a comprehensive, multilayered, and participatory framework—one that positions libraries as active institutions in enhancing public health among the elderly.
Materials and Methods: This study was conducted as a systematic review using the Kitchenham and Charters framework. Relevant articles were retrieved from three major citation databases—PubMed, Scopus, and Web of Science—covering the period from 2010 to 2024. Relevant keywords were used for searches, and reference lists and citations of the retrieved documents were examined to ensure comprehensive coverage. Inclusion criteria consisted of research articles related to the health information needs of the elderly in public libraries. Ultimately, 40 English-language articles were selected and analyzed. The extracted data were coded and categorized qualitatively.
Results: The findings indicated that the health information needs of the elderly in public libraries could be classified into four main categories: (1) Information Needs, including access to diverse health information resources, primary health information, public health and prevention information, and self-care and personal empowerment resources; (2) Educational Needs, encompassing information literacy, health information literacy, and educational events; (3) Social and Cultural Needs, including cultural and recreational activities, social and communication needs, social participation, and reducing social exclusion; and (4) Library Services and Facilities, comprising appropriate physical spaces, assistive reading technologies, and mobile and remote library services.
Conclusion: With the growing elderly population, public libraries face a critical responsibility in promoting the health and well-being of this demographic. The findings of this study reveal that the health information needs of the elderly extend beyond mere access to resources; they encompass educational, social-cultural, and library service dimensions. Therefore, it is essential to move beyond traditional information dissemination approaches and adopt a comprehensive, multilayered, and participatory framework—one that positions libraries as active institutions in enhancing public health among the elderly.
Mozhgan Farazmand, Mandana Asgari, Hamid Bouraghi, Taleb Khodaveisi, Ali Mohammadpour, Soheila Saeedi,
Volume 19, Issue 3 (9-2025)
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: Cardiovascular diseases have a very high prevalence globally and are recognized as one of the main causes of mortality worldwide. Artificial intelligence, as a novel technology, has garnered attention in recent years in Iran and other parts of the world for the management of a wide variety of diseases. The present study aimed to systematically review research studies conducted in the field of applying artificial intelligence in cardiovascular diseases.
Materials and Methods: To investigate research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence, the Persian language databases SID, Google Scholar, and Magiran were searched. This search was conducted without time limitations on April 3, 2024 and included all research studies that, up to this date, had used various artificial intelligence methods in the field of cardiovascular diseases in the present systematic review.
Results: The results of the search in the aforementioned three databases led to the retrieval of 17,819 research studies, of which 46 research studies met the inclusion and exclusion criteria of the study. These research studies had used artificial intelligence in three areas: prediction, treatment, and diagnosis. Neural networks (n=22), support vector machines (n=20), and decision trees (n=16) were the algorithms that were used more than other techniques. The data sources of the included research studies were mainly patient medical records and the UCI database. Additionally, MATLAB software was used more than other software. The most frequently mentioned limitations in the research studies included not considering all factors, limited access to data, insufficient data, the presence of noise in signals or images, and the presence of outliers, missing values, and non-normality of data.
Conclusion: The systematic review of research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence showed that this technology has been used in a wide range of cardiovascular diseases, and most of the conducted research studies confirmed its effectiveness and successful performance.
Materials and Methods: To investigate research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence, the Persian language databases SID, Google Scholar, and Magiran were searched. This search was conducted without time limitations on April 3, 2024 and included all research studies that, up to this date, had used various artificial intelligence methods in the field of cardiovascular diseases in the present systematic review.
Results: The results of the search in the aforementioned three databases led to the retrieval of 17,819 research studies, of which 46 research studies met the inclusion and exclusion criteria of the study. These research studies had used artificial intelligence in three areas: prediction, treatment, and diagnosis. Neural networks (n=22), support vector machines (n=20), and decision trees (n=16) were the algorithms that were used more than other techniques. The data sources of the included research studies were mainly patient medical records and the UCI database. Additionally, MATLAB software was used more than other software. The most frequently mentioned limitations in the research studies included not considering all factors, limited access to data, insufficient data, the presence of noise in signals or images, and the presence of outliers, missing values, and non-normality of data.
Conclusion: The systematic review of research studies conducted in the field of cardiovascular diseases utilizing artificial intelligence showed that this technology has been used in a wide range of cardiovascular diseases, and most of the conducted research studies confirmed its effectiveness and successful performance.
Roya Rajaee, Marziyeh Najafi, Nasrin Donyaee, Masoumeh Vaziri Seta, Hojjat Rahmani, Ghasem Rajabi, Mahsa Akbari,
Volume 19, Issue 4 (11-2025)
Volume 19, Issue 4 (11-2025)
Abstract
Background and Aim: Budgeting in the health system plays a crucial role in enhancing the quality of healthcare services, increasing equitable access to health care, and reducing costs. Financial decision-making based on scientific data and evidence can improve the efficiency of the health system and ensure equity in resource allocation. This study aimed to examine the scientific status and trends of published literature on budgeting methods in the health system using bibliometric analysis to assist policymakers in making better financial decisions.
Materials and Methods: This study is a bibliometric review with a descriptive–analytical approach, analyzing 222 scientific documents indexed in Scopus between 1974 and 2024. Data were analyzed using Excel, Bibexcel, VOSviewer, and Gephi software to map the knowledge structure, co-word relationships, and international collaborations in this field.
Results: The United States (30%), Taiwan (15%), and Canada (10%) were the leading contributors to scientific output in this field. Journal articles comprised nearly 90% of all publications. The most frequent keywords were “budget,” “health care cost,” and “financial management,” reflecting a strong emphasis on cost control and resource management. Three main budgeting approaches were identified: performance-based, traditional (historical), and needs-based. Traditional budgeting remains dominant in developing countries, particularly where information infrastructure and managerial capacity are limited. International collaboration involved 18 countries, with the strongest cooperation observed between the United States and Taiwan.
Conclusion: Improving the health budgeting system requires strengthening information systems, training managers, and enhancing international scientific collaboration. Resource allocation based on scientific data and bibliometric insights can optimize resource distribution and enhance equity in access to health services. Such measures would lead to greater health system efficiency and more comprehensive financial decision-making.
Materials and Methods: This study is a bibliometric review with a descriptive–analytical approach, analyzing 222 scientific documents indexed in Scopus between 1974 and 2024. Data were analyzed using Excel, Bibexcel, VOSviewer, and Gephi software to map the knowledge structure, co-word relationships, and international collaborations in this field.
Results: The United States (30%), Taiwan (15%), and Canada (10%) were the leading contributors to scientific output in this field. Journal articles comprised nearly 90% of all publications. The most frequent keywords were “budget,” “health care cost,” and “financial management,” reflecting a strong emphasis on cost control and resource management. Three main budgeting approaches were identified: performance-based, traditional (historical), and needs-based. Traditional budgeting remains dominant in developing countries, particularly where information infrastructure and managerial capacity are limited. International collaboration involved 18 countries, with the strongest cooperation observed between the United States and Taiwan.
Conclusion: Improving the health budgeting system requires strengthening information systems, training managers, and enhancing international scientific collaboration. Resource allocation based on scientific data and bibliometric insights can optimize resource distribution and enhance equity in access to health services. Such measures would lead to greater health system efficiency and more comprehensive financial decision-making.
Pezhman Sadeghi, Nader Jahanmehr, Reza Rabiei,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: Information systems serve different purposes in organizational and management hierarchies. The hospital intelligent management system is an analytical and decision-support management information system that provides information and important performance indicators for managers in hospitals. Considering the role of this system in increasing the efficiency and effectiveness and the lack of academic hospitals having the desired level of productivity, this research was conducted to investigate the effective factors in improving the acceptance of the intelligent hospital management system in the hospitals of Shahid Beheshti University of Medical Sciences (SBMU).
Materials and Methods: This descriptive and correlational research was conducted in 19 hospitals (12 teaching hospitals and 7 non-teaching hospitals) of Shahid Beheshti University of Medical Sciences in 2022. In this study, 126 senior and middle managers and experts of the productivity committee participated. The data of this study were collected Using the Unified Theory of Acceptance and Use of Technology(UTAUT) Questionnaire and for statistical analysis, SPSS software (statistical table and linear and multiple regression tests, sequencing, and chi-square) was used. The validity of the questionnaire was determined using the opinion of research experts and its reliability was also determined using Cronbach’s alpha coefficient (0.824).
Results: Most of the participants in the study were from teaching hospitals (63.2%) and were middle managers (50.8%). Behavioral intentions were identified as the most important factors in the use of system by senior and middle managers and experts of productivity committee (P<0.001). The effort expectancy had the greatest impact on the intention to use the system as compared to the expected components of Performance expectancy and social influence. Also, training and having educational programs on how to use the HIM and its applications can increase the intention and use of the HIM by employees (P<0.001).
Conclusion: Based on the results, the effect of the moderating variables in this study was insignificant. If senior managers and influential people encourage working with the system, and employees also make more effort to learn the system, and working with the system meets their expectations, employees will be willing to use the system. In other words, employees use the system when they believe that this system is user-friendly, valuable, and useful for them.
Materials and Methods: This descriptive and correlational research was conducted in 19 hospitals (12 teaching hospitals and 7 non-teaching hospitals) of Shahid Beheshti University of Medical Sciences in 2022. In this study, 126 senior and middle managers and experts of the productivity committee participated. The data of this study were collected Using the Unified Theory of Acceptance and Use of Technology(UTAUT) Questionnaire and for statistical analysis, SPSS software (statistical table and linear and multiple regression tests, sequencing, and chi-square) was used. The validity of the questionnaire was determined using the opinion of research experts and its reliability was also determined using Cronbach’s alpha coefficient (0.824).
Results: Most of the participants in the study were from teaching hospitals (63.2%) and were middle managers (50.8%). Behavioral intentions were identified as the most important factors in the use of system by senior and middle managers and experts of productivity committee (P<0.001). The effort expectancy had the greatest impact on the intention to use the system as compared to the expected components of Performance expectancy and social influence. Also, training and having educational programs on how to use the HIM and its applications can increase the intention and use of the HIM by employees (P<0.001).
Conclusion: Based on the results, the effect of the moderating variables in this study was insignificant. If senior managers and influential people encourage working with the system, and employees also make more effort to learn the system, and working with the system meets their expectations, employees will be willing to use the system. In other words, employees use the system when they believe that this system is user-friendly, valuable, and useful for them.
Abbas Sheikhtaheri, Elaheh Jamshidi, Ali Mohammadi, Vahid Feyzollahi,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: Knee ligament rupture is a common knee injury, especially among athletes. Considering the importance of treatment quality in the affected population, there is a crucial need for the collection of high-quality, standardized national-level data. This can be achieved by establishing a Minimum Data Set (MDS). The present study aimed to design a Minimum Data Set for the Knee Ligament Rupture Reconstruction Registry System in Athletes.
Materials and Methods: This applied research was conducted in 2024 using a quantitative method (descriptive-comparative and Delphi technique) across three phases. In the first phase, using a descriptive-comparative approach, the required data elements from the national registry systems of selected countries (Norway, Sweden, Denmark, UK) were extracted and analyzed in comparative tables. In the second phase, the data elements currently recorded for patients undergoing knee ligament rupture reconstruction surgery in Iran were identified using a descriptive data collection form. In the third phase, based on the findings from the first two phases, a preliminary MDS was designed as a questionnaire. Its validity was then assessed over two rounds using the Delphi method by a panel of experts (24 in the first round, 18 in the second). Finally, items that achieved a consensus of 75% or higher were included in the final MDS.
Results: In the review conducted on the registry systems of selected countries, including Norway, Sweden, Denmark, and England, the data elements recorded in these systems were first extracted. Subsequently, in the first phase of the study, the extracted data elements were categorized into two main categories: Administrative and clinical. The findings of this phase were obtained through their comparison in comparative tables. The findings of the second phase of the study consisted of data elements extracted from the medical records of patients who had undergone knee ligament rupture reconstruction surgery in Iran. In the third phase of the study, the final minimum data set for patients undergoing knee ligament rupture reconstruction surgery was developed based on the findings of the first and second phases of the study as well as expert opinions. This data set comprised 78 data elements organized into two sections: administrative (9 data elements) and clinical (69 data elements). In the administrative section, data classes were categorized into demographic, socioeconomic, and visit-related groups. In the clinical section, data classes were categorized into diagnostic, anthropometric, surgical, follow-up, and outcome groups.
Conclusion: The Minimum Data Set for knee ligament rupture reconstruction surgery can play a significant role in collecting high-quality data, evaluating and managing treatment quality and outcomes, and informing planning and policymaking in this field by ensuring the collection of integrated and high-quality data.
Materials and Methods: This applied research was conducted in 2024 using a quantitative method (descriptive-comparative and Delphi technique) across three phases. In the first phase, using a descriptive-comparative approach, the required data elements from the national registry systems of selected countries (Norway, Sweden, Denmark, UK) were extracted and analyzed in comparative tables. In the second phase, the data elements currently recorded for patients undergoing knee ligament rupture reconstruction surgery in Iran were identified using a descriptive data collection form. In the third phase, based on the findings from the first two phases, a preliminary MDS was designed as a questionnaire. Its validity was then assessed over two rounds using the Delphi method by a panel of experts (24 in the first round, 18 in the second). Finally, items that achieved a consensus of 75% or higher were included in the final MDS.
Results: In the review conducted on the registry systems of selected countries, including Norway, Sweden, Denmark, and England, the data elements recorded in these systems were first extracted. Subsequently, in the first phase of the study, the extracted data elements were categorized into two main categories: Administrative and clinical. The findings of this phase were obtained through their comparison in comparative tables. The findings of the second phase of the study consisted of data elements extracted from the medical records of patients who had undergone knee ligament rupture reconstruction surgery in Iran. In the third phase of the study, the final minimum data set for patients undergoing knee ligament rupture reconstruction surgery was developed based on the findings of the first and second phases of the study as well as expert opinions. This data set comprised 78 data elements organized into two sections: administrative (9 data elements) and clinical (69 data elements). In the administrative section, data classes were categorized into demographic, socioeconomic, and visit-related groups. In the clinical section, data classes were categorized into diagnostic, anthropometric, surgical, follow-up, and outcome groups.
Conclusion: The Minimum Data Set for knee ligament rupture reconstruction surgery can play a significant role in collecting high-quality data, evaluating and managing treatment quality and outcomes, and informing planning and policymaking in this field by ensuring the collection of integrated and high-quality data.
Hojjat Rahmani, Payam Bahadori, Hossein Dargahi, Mohammad Arab, Nasrin Abolhasanbeigi Gallehzan, Mohsen Mardali,
Volume 19, Issue 6 (3-2026)
Volume 19, Issue 6 (3-2026)
Abstract
Background and Aim: The occurrence of conflict of interest in the Iranian health system has a negative impact on the provision of efficient and effective health care and services to patients, the training and education of students in medical sciences. Despite the efforts made in the country’s health system to manage conflict of interest, this phenomenon is currently observed through various factors, including the inefficiency of the financial structure, lack of transparency, and the lack of an integrated health information system in Iran.
Materials and Methods: The present scoping review study that aimed to identify and determine conflict of interest management strategies in the Iranian health system in comparison with selected countries and to select appropriate strategies in 2024-2025 using the Arksey and O’Malley guidelines. All relevant articles and resources from 2007 to 2024 were extracted from national and international databases by observing the entry and exit criteria and by selecting Persian and English keywords. After screening steps using Prisma flowchart, 23 studies in English and Persian language from international and national databases, were analyzed.
Results: Findings from 17 international studies—most of which were conducted in the United States—along with 6 domestic articles, showed main strategies of Iranian conflict of interest which included participation, transparency, legal oversight, processes reform, restructuring and reorganization. Although, using collective campaigns for correction of process behaviors and decisions, definition of ethical ethic codes, and standardization may help implementation of these strategies. Also, the most common cause of conflict of interest in the health system is individual rather than organizational, which requires regulation, the use of legislative levers, and the transparency of financial relations in the health system.
Conclusion: Accurate identification of potential examples of conflict of interests among the agents of health care system by implementing information clarification, and using modern procedures may decrease the challenges in formulating and implementing strategies of conflict of interests among Iranian health care system. Although benchmarking from successful countries will be helpful in these countries. The implementation of these recommendations may face challenges within Iranian society, including resistance from certain professional groups, a lack of financial and technical resources, and the complexity and specific conditions of the health system. Therefore, a step-by-step approach to implementing policy recommendations for managing conflicts of interest in the health system should be considered.
Materials and Methods: The present scoping review study that aimed to identify and determine conflict of interest management strategies in the Iranian health system in comparison with selected countries and to select appropriate strategies in 2024-2025 using the Arksey and O’Malley guidelines. All relevant articles and resources from 2007 to 2024 were extracted from national and international databases by observing the entry and exit criteria and by selecting Persian and English keywords. After screening steps using Prisma flowchart, 23 studies in English and Persian language from international and national databases, were analyzed.
Results: Findings from 17 international studies—most of which were conducted in the United States—along with 6 domestic articles, showed main strategies of Iranian conflict of interest which included participation, transparency, legal oversight, processes reform, restructuring and reorganization. Although, using collective campaigns for correction of process behaviors and decisions, definition of ethical ethic codes, and standardization may help implementation of these strategies. Also, the most common cause of conflict of interest in the health system is individual rather than organizational, which requires regulation, the use of legislative levers, and the transparency of financial relations in the health system.
Conclusion: Accurate identification of potential examples of conflict of interests among the agents of health care system by implementing information clarification, and using modern procedures may decrease the challenges in formulating and implementing strategies of conflict of interests among Iranian health care system. Although benchmarking from successful countries will be helpful in these countries. The implementation of these recommendations may face challenges within Iranian society, including resistance from certain professional groups, a lack of financial and technical resources, and the complexity and specific conditions of the health system. Therefore, a step-by-step approach to implementing policy recommendations for managing conflicts of interest in the health system should be considered.
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