Search published articles
Showing 6 results for Systematic Review
Morteza Arab Zozani, Saeid Bagheri Faradonbeh , Ebrahim Jaafari Pooyan,
Volume 9, Issue 4 (11-2015)
Volume 9, Issue 4 (11-2015)
Abstract
Background and Aim: Given the increasing growth of new technologies in health care and their rising cost, the necessity of concentration on assessing new technologies and their potential role in quality of health care is more crucial. The aim of this study was to investigate the role of health technology assessment (HTA) in improving healthcare quality and offer the best evidence for decision makers.
Materials and Methods: The study was based on systematic review of papers in health technology assessment via searching in databases such as Pubmed, Cochrane and other HTA related databases. The search has covered the period between years 2000 to 2013. Studies analyzed by narrative synthesis method.
Results: Related studies show that assessing new technologies has potential role in quality improvement of healthcare. HTA can boost the competition among companies which this in turn increases the quality of technologies and ultimately enhances the quality of health services and stakeholders satisfaction.
Conclusion: HTA may increase quality of healthcare services through facilitating a move towards evidence-based decision-making, providing safe health care and increasing patients’ trust and satisfaction to clinical procedures and team members.
Ali Mohammad Mosadeghrad, Parvaneh Esfahani , Marziyeh Nikafshar,
Volume 11, Issue 3 (9-2017)
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Increasing healthcare organizations’ efficiency is a necessity due to the resource scarcity in health sector. The aim of this study was to evaluate hospitals’ efficiency in Iran.
Materials and Methods: This study was conducted using a systematic review and meta-analysis approach to find empirical research papers published on hospital efficiency in Iran between 1997 and 2016. Seven electronic databases and two search engines were searched using appropriate key words. Bibliography section of the retrieved papers and related journals were also searched for papers that were not yet indexed in the data bases. 1563 publications were identified. All retrieved papers were assessed using a checklist before analysis. Finally 91 empirical studies were reviewed.
Results: Data Envelopment Analysis, Pabon Lasso and Stochastic Frontier Analysis methods were mostly used for measuring hospital efficiency respectively. The average efficiency of Iran hospitals varied between 0.584 and 0.998. Hospitals affiliated to Social security organisation were more efficient. In contrast, non teaching public hospitals and charity and private hospitals were less efficient. Number of hospital beds and manpower were the most used input variables and number of outpatients and inpatients patient and surgical procedures were the most used output variables in Data Envelopment Analysis. Stochastic Frontier Analysis method has more advantage in measuring hospital efficiency compared to Data Envelopment Analysis.
Conclusion: Iran hospitals suffer from inefficiency. Thus, managers should identify the reasons for hospitals’ ineffeiciency and apply measures for increasing their efficiency and reducing wastage of limited resources.
Materials and Methods: This study was conducted using a systematic review and meta-analysis approach to find empirical research papers published on hospital efficiency in Iran between 1997 and 2016. Seven electronic databases and two search engines were searched using appropriate key words. Bibliography section of the retrieved papers and related journals were also searched for papers that were not yet indexed in the data bases. 1563 publications were identified. All retrieved papers were assessed using a checklist before analysis. Finally 91 empirical studies were reviewed.
Results: Data Envelopment Analysis, Pabon Lasso and Stochastic Frontier Analysis methods were mostly used for measuring hospital efficiency respectively. The average efficiency of Iran hospitals varied between 0.584 and 0.998. Hospitals affiliated to Social security organisation were more efficient. In contrast, non teaching public hospitals and charity and private hospitals were less efficient. Number of hospital beds and manpower were the most used input variables and number of outpatients and inpatients patient and surgical procedures were the most used output variables in Data Envelopment Analysis. Stochastic Frontier Analysis method has more advantage in measuring hospital efficiency compared to Data Envelopment Analysis.
Conclusion: Iran hospitals suffer from inefficiency. Thus, managers should identify the reasons for hospitals’ ineffeiciency and apply measures for increasing their efficiency and reducing wastage of limited resources.
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.
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.
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.
| Page 1 from 1 |
Related Websites
Site Keywords
Health Information Management, Health Care Management, Medical Laboratory Sciences, Medical Library & Information Sciences, Radiation Biology (Radiobiology and Radiation Protection), Operating Room, Anesthesiology
Site Statistics- Registered users: 3343 users
- Online users: 0 users
- Guest users: 129 users
- All visits: 6351495 visits
- Visits in 24 Hours: 16043 visits
- Total articles: 3228 articles
- Published articles: 831 articles
© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0
Designed & Developed by: Yektaweb