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Showing 766 results for Type of Study: Original Research
Shohreh Seyyed-Hosseini, Marzieh Shahbazi, Alireza Davarpanah, Fatemeh Kalteh, Reza Basirian-Jahromi,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: The monitoring of users’ real-time and continuous web searches, in conjunction with the identification of research conducted by experts in a specific field, constitutes the domain of infodemiology. The present study sought to examine the correlation between the demand for health information among users and the scientific output of researchers in elderly health from 2015 to 2024.
Materials and Methods: The present data mining research is of a descriptive-analytical nature, conducted using web mining and scientometrics approaches, employing infodemiology indicators. The web mining section of the study population comprised global user search keywords in the field of elderly health, as examined using Google Trends. In the scientometrics section, the research conducted by researchers in the field of elderly health was analyzed. This research was indexed in the PubMed database from 2015 to 2024. To examine the alignment between users’ information-seeking behavior and researchers’ scientific output, correlation tests were performed using SPSS software.
Results: A rise was observed in the volume of scientific output from researchers and the user search volume index in the field of elderly health on the Google search engine from 2015 to 2024. The monthly mean growth of scientific output from researchers over the ten years was 1439.70. In the user behavior of health information seeking (health information demand), the highest relative search volume index belonged to Ireland, Jamaica, and the United States of America, respectively. The highest number of scientific articles by researchers in the field of elderly health, with 20,480 articles, was related to the year 2021. Also, the average monthly growth of scientific output by researchers in the field of elderly health in this ten-year period (from January 2015 to December 2024) was 1439.70. The investigation revealed a direct and significant relationship (P-value<0.005) between users’ information-seeking behavior and researchers’ scientific output in this field, as determined by applying the Google search engine.
Conclusion: A multitude of factors have the capacity to influence the level of scientific output from researchers in the field of elderly health. In view of the positive relationship that has been observed and the reciprocal relation between the variables of users’ information-seeking behavior and researchers’ scientific output, it can be concluded that the factor of information demand, or users’ internet information-seeking behavior in the web environment, in this area, can be one of the most significant factors. This factor must be given due consideration through rigorous research.
Materials and Methods: The present data mining research is of a descriptive-analytical nature, conducted using web mining and scientometrics approaches, employing infodemiology indicators. The web mining section of the study population comprised global user search keywords in the field of elderly health, as examined using Google Trends. In the scientometrics section, the research conducted by researchers in the field of elderly health was analyzed. This research was indexed in the PubMed database from 2015 to 2024. To examine the alignment between users’ information-seeking behavior and researchers’ scientific output, correlation tests were performed using SPSS software.
Results: A rise was observed in the volume of scientific output from researchers and the user search volume index in the field of elderly health on the Google search engine from 2015 to 2024. The monthly mean growth of scientific output from researchers over the ten years was 1439.70. In the user behavior of health information seeking (health information demand), the highest relative search volume index belonged to Ireland, Jamaica, and the United States of America, respectively. The highest number of scientific articles by researchers in the field of elderly health, with 20,480 articles, was related to the year 2021. Also, the average monthly growth of scientific output by researchers in the field of elderly health in this ten-year period (from January 2015 to December 2024) was 1439.70. The investigation revealed a direct and significant relationship (P-value<0.005) between users’ information-seeking behavior and researchers’ scientific output in this field, as determined by applying the Google search engine.
Conclusion: A multitude of factors have the capacity to influence the level of scientific output from researchers in the field of elderly health. In view of the positive relationship that has been observed and the reciprocal relation between the variables of users’ information-seeking behavior and researchers’ scientific output, it can be concluded that the factor of information demand, or users’ internet information-seeking behavior in the web environment, in this area, can be one of the most significant factors. This factor must be given due consideration through rigorous research.
Shiva Mohajel Nayebi, Azra Daei, Vahideh Gavgani Zarea,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: The continuous specialization and rapid evolution in medical and health sciences, combined with the growing influence of information and communication technologies, have created an urgent need for specialized education in Medical Library and Information Science (MLIS). As universities transition toward the fourth and fifth-generation models, characterized by innovation, networking, and entrepreneurial orientation, academic disciplines are expected to become more dynamic and responsive to technological and societal change. This study aimed to identify emerging community-based educational specializations, explore the related challenges and enabling factors, and develop policy recommendations for establishing a new specialization in MLIS.
Materials and Methods: This multi-methods research was conducted with the goal of informing educational policy and curriculum development. In the first phase, a scoping review following the Arksey and O’Malley framework and guided by the PRISMA-ScR checklist was carried out to identify existing and emerging specializations in health-related information sciences. In the second phase, a focus group discussion (FGD) involving eight domain experts explored perceived challenges, influencing factors, and potential strategies for specialization development. Finally, in the third phase, a simple Delphi technique was applied with ten policymakers in Medical Library and Information Science to prioritize the proposed specialization options. Qualitative data were analyzed thematically, using coding and categorization to identify recurrent patterns and themes.
Results: The scoping review included 22 eligible studies, from which 11 educational specializations related to health information and librarianship were initially extracted. After merging overlapping domains, eight distinct specializations remained. Following expert and policymaker prioritization, four educational specializations were selected as feasible and necessary for integration into the MLIS curriculum. The main challenges identified were: Ensuring disciplinary sustainability in the face of rapid scientific and technological change; Promoting structural and curricular reform to align educational programs with real-world health information needs; Overcoming institutional and cultural resistance to organizational change. Policymakers emphasized curriculum modernization, specialized educational tracks, and needs-based program design as essential strategies for strengthening MLIS education and its alignment with health system priorities.
Conclusion: The study recommends that universities establish new educational specializations or formal short-term programs tailored to national and regional needs in health information science. Implementing the proposed policy options can enhance the long-term sustainability, relevance, and innovation capacity of the MLIS discipline while increasing the employability and professional competence of graduates. Strengthening educational responsiveness to societal and technological transformation will position Medical Librarianship and Information Science as a key enabler in evidence-based health systems and digital health development.
Materials and Methods: This multi-methods research was conducted with the goal of informing educational policy and curriculum development. In the first phase, a scoping review following the Arksey and O’Malley framework and guided by the PRISMA-ScR checklist was carried out to identify existing and emerging specializations in health-related information sciences. In the second phase, a focus group discussion (FGD) involving eight domain experts explored perceived challenges, influencing factors, and potential strategies for specialization development. Finally, in the third phase, a simple Delphi technique was applied with ten policymakers in Medical Library and Information Science to prioritize the proposed specialization options. Qualitative data were analyzed thematically, using coding and categorization to identify recurrent patterns and themes.
Results: The scoping review included 22 eligible studies, from which 11 educational specializations related to health information and librarianship were initially extracted. After merging overlapping domains, eight distinct specializations remained. Following expert and policymaker prioritization, four educational specializations were selected as feasible and necessary for integration into the MLIS curriculum. The main challenges identified were: Ensuring disciplinary sustainability in the face of rapid scientific and technological change; Promoting structural and curricular reform to align educational programs with real-world health information needs; Overcoming institutional and cultural resistance to organizational change. Policymakers emphasized curriculum modernization, specialized educational tracks, and needs-based program design as essential strategies for strengthening MLIS education and its alignment with health system priorities.
Conclusion: The study recommends that universities establish new educational specializations or formal short-term programs tailored to national and regional needs in health information science. Implementing the proposed policy options can enhance the long-term sustainability, relevance, and innovation capacity of the MLIS discipline while increasing the employability and professional competence of graduates. Strengthening educational responsiveness to societal and technological transformation will position Medical Librarianship and Information Science as a key enabler in evidence-based health systems and digital health development.
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.
Marzieh Latifi, Elahe Pourhossein, Amirhesam Alirezaei, Tannaz Hajialireza Tehrani, Maryam Pourhossein, Sanaz Dehghani,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: Sleep disorders are strongly associated with physical, mental, social health, as well as cognitive functioning. This study aimed to compare the quality of sleep between individuals on kidney transplant waiting list and kidney transplant recipients to develop an appropriate program to improve their health and quality of life.
Materials and Methods: This cross sectional descriptive-analytical study was conducted on 196 patients, including 100 patients who registered on the kidney transplant waiting list and 96 kidney transplant recipients at the Sina Hospital, Tehran University of Medical Sciences (TUMS). Convenience sampling was used. Patients completed a standardized Pittsburgh Sleep Quality Index (PSQI) questionnaire to assess sleep quality. The self-reporting method was used to complete the questionnaires. Clinical and demographic data were collected from patients’ medical files of Sina Hospital by kidney transplant coordinators. Statistical analysis was performed using SPSS, with a significance level set at less than 0.05.
Results: The mean age of the participants was 47 years, with an age range between 18 and 69 years. Sixty-eight-point Thirty-six percent of the patients were male. Based on results, no significant difference was found between patients in kidney waiting list to kidney transplanted patients in demographic variables (age, gender, marital status, number of children, job, level of education, cause of kidney disease). According to independent T- test, the mean score of sleep quality of patients on the waiting list and kidney transplant recipients was (7.75±3.55) and (4.54±3.57), respectively, indicting the significant differences between two groups (P<0.001). Also, the Pearson correlation test reveals a significant positive correlation between age and sleep quality (P=0.038, r=0.612), and a significant negative correlation between duration of dialysis and the average sleep score (P=0.040, r=-0.062).
Conclusion: It is essential to emphasis attention to the quality of sleep in kidney patients, especially during the pre-transplant and dialysis era.
Additionally, kidney transplantation can be considered an effective solution for improving sleep quality and reducing complications related to kidney failure, although some patients continue to experience sleep problems after the transplant.
Materials and Methods: This cross sectional descriptive-analytical study was conducted on 196 patients, including 100 patients who registered on the kidney transplant waiting list and 96 kidney transplant recipients at the Sina Hospital, Tehran University of Medical Sciences (TUMS). Convenience sampling was used. Patients completed a standardized Pittsburgh Sleep Quality Index (PSQI) questionnaire to assess sleep quality. The self-reporting method was used to complete the questionnaires. Clinical and demographic data were collected from patients’ medical files of Sina Hospital by kidney transplant coordinators. Statistical analysis was performed using SPSS, with a significance level set at less than 0.05.
Results: The mean age of the participants was 47 years, with an age range between 18 and 69 years. Sixty-eight-point Thirty-six percent of the patients were male. Based on results, no significant difference was found between patients in kidney waiting list to kidney transplanted patients in demographic variables (age, gender, marital status, number of children, job, level of education, cause of kidney disease). According to independent T- test, the mean score of sleep quality of patients on the waiting list and kidney transplant recipients was (7.75±3.55) and (4.54±3.57), respectively, indicting the significant differences between two groups (P<0.001). Also, the Pearson correlation test reveals a significant positive correlation between age and sleep quality (P=0.038, r=0.612), and a significant negative correlation between duration of dialysis and the average sleep score (P=0.040, r=-0.062).
Conclusion: It is essential to emphasis attention to the quality of sleep in kidney patients, especially during the pre-transplant and dialysis era.
Additionally, kidney transplantation can be considered an effective solution for improving sleep quality and reducing complications related to kidney failure, although some patients continue to experience sleep problems after the transplant.
Creating a Management Dashboard for the Oncology Ward to Monitor Health Data of Children with Cancer
Saber Yazdani Damavandi, Tayebeh Baniasadi, Mohammad Ali Molavi, Farid Khorrami,
Volume 19, Issue 5 (12-2025)
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: Cancer has been recognized as the second leading cause of child mortality in recent years. Due to the increasing amount of healthcare data for cancer patients, healthcare providers need a tool to monitor patients for immediate intervention. An intelligent and dynamic information management dashboard is capable of compiling and displaying data using charts and tables. In the present study, a management dashboard was designed for the oncology department of a children’s hospital, and its usability was evaluated.
Materials and Methods: This developmental–applied research was conducted in 2024 at the Educational, Medical, and Research Center for Children in Bandar Abbas. In order to create a management dashboard for the pediatric oncology department, three stages were carried out. In the first stage, all necessary content to be displayed on the dashboard was extracted based on a review of literature and documents from the oncology department of Bandar Abbas Children’s Hospital. This content was then validated by experts using the Delphi method in two rounds. In the second stage, a prototype of dashboard for the oncology ward was designed using Power BI Desktop software. Finally, its usability was evaluated using a SUS questionnaire by 20 users. The data were analyzed using descriptive statistics with SPSS software.
Results: Following the screening of 3,435 initial records and a review of 22 articles alongside 38 patient files, a preliminary set of 104 managerial and 67 clinical indicators was extracted. These indicators were validated through a tworound Delphi process with 12 experts, resulting in the final selection of 105 managerial and 71 clinical indicators for dashboard inclusion. Based on this validated set, a tenpage managerial dashboard was developed to present key performance metrics. Usability assessment using the System Usability Scale (SUS) yielded a mean score of 75.87, which, according to the Bangor scale, is classified as “acceptable” and corresponds to a grade of “excellent.” User feedback informed subsequent refinements to the dashboard’s data visualizations and interface. In summary, the developed dashboard represents an effective and userfriendly tool for monitoring and managing information within a pediatric oncology department.
Conclusion: The pediatric oncology management dashboard facilitates the integration and summarization of essential data for healthcare providers, thereby assisting them in making timely diagnoses and interventions for children with cancer. Additionally, the present dashboard demonstrates appropriate usability, which enhances users’ understanding of health information and leads to more accurate decision-making.
Materials and Methods: This developmental–applied research was conducted in 2024 at the Educational, Medical, and Research Center for Children in Bandar Abbas. In order to create a management dashboard for the pediatric oncology department, three stages were carried out. In the first stage, all necessary content to be displayed on the dashboard was extracted based on a review of literature and documents from the oncology department of Bandar Abbas Children’s Hospital. This content was then validated by experts using the Delphi method in two rounds. In the second stage, a prototype of dashboard for the oncology ward was designed using Power BI Desktop software. Finally, its usability was evaluated using a SUS questionnaire by 20 users. The data were analyzed using descriptive statistics with SPSS software.
Results: Following the screening of 3,435 initial records and a review of 22 articles alongside 38 patient files, a preliminary set of 104 managerial and 67 clinical indicators was extracted. These indicators were validated through a tworound Delphi process with 12 experts, resulting in the final selection of 105 managerial and 71 clinical indicators for dashboard inclusion. Based on this validated set, a tenpage managerial dashboard was developed to present key performance metrics. Usability assessment using the System Usability Scale (SUS) yielded a mean score of 75.87, which, according to the Bangor scale, is classified as “acceptable” and corresponds to a grade of “excellent.” User feedback informed subsequent refinements to the dashboard’s data visualizations and interface. In summary, the developed dashboard represents an effective and userfriendly tool for monitoring and managing information within a pediatric oncology department.
Conclusion: The pediatric oncology management dashboard facilitates the integration and summarization of essential data for healthcare providers, thereby assisting them in making timely diagnoses and interventions for children with cancer. Additionally, the present dashboard demonstrates appropriate usability, which enhances users’ understanding of health information and leads to more accurate decision-making.
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