ایندکس
Index Journal
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Original Article
Azita Balaghafari; Mohammad Fallah-Kharyeki; Afieh Pangh
Abstract
Introduction: The aim of the present study was to develop a hospital management information system (HMIS) as the infrastructure for establishing and deploying an electronic HMIS (eHMIS). Its deployment can lead to the achievement of integrated hospital information as well as reliable and timely statistical ...
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Introduction: The aim of the present study was to develop a hospital management information system (HMIS) as the infrastructure for establishing and deploying an electronic HMIS (eHMIS). Its deployment can lead to the achievement of integrated hospital information as well as reliable and timely statistical indicators of the current information system using efficient, new, and effective technology in the field of hospital management.Methods: This research was conducted in a mixed method in two parts of qualitative-comparative and qualitative-two-steps Delphi in year 2017. The research population was selected based on non-random sampling through a targeted sampling method among 30 experts in Mazandaran University of Medical Sciences, Sari, Iran.Results: The 10-step WHO-based HMIS development strategy consisted of 12 principles, 62 steps, and 28 worksheets. Experts agreed on the principles and steps in the initial model and the final model, and no changes were made. Corrections were made only in the worksheets section, and the number of worksheets increased in steps 1, 2, 6, and 9.Conclusion: In order to establish an eHMIS, there is a need to design the infrastructure of the current hospital information system. The proposed solution can be used as a simple and quick manual and mechanized application to provide the infrastructure of the current hospital information system.
Original Article
Samad Rouhani; Khadije Safizade; Seyed Nouraddin Mousavinasab; Azita Balaghafari; Mohammad Reza Sayeedy-Kiasari
Abstract
Introduction: Inaccurate data and unqualified data can be misleading, and cause false decisions. Therefore, the quality of data can guarantee its usefulness. The aim of this study was to assess the quality of routine data related to diabetes caretakers of Health Houses (HHs) in Sari City, Iran.Methods: ...
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Introduction: Inaccurate data and unqualified data can be misleading, and cause false decisions. Therefore, the quality of data can guarantee its usefulness. The aim of this study was to assess the quality of routine data related to diabetes caretakers of Health Houses (HHs) in Sari City, Iran.Methods: This was a descriptive study carried out in 2018. The Statistical population of this study included monthly reports of all HHs in Sari. A sample of 72 HHs was selected randomly. Performance of Routine Information System Management (PRISM) tools at health facility level were used for data collection through interview and observation. The gathered data were analyzed using descriptive statistics.Results: Data accuracy rate was between 90.96 and 18.05 percent. Moreover, according to patients interviewed, recorded information of 52 percent of them was not based on reality.Conclusion: The routine data related to diabetes caretakers, which is one of the main requirements of continuous monitoring of the performance of service units and making appropriate decisions, were not accurate.
Original Article
Mohammadhassan Ahmadi; Mohammadreza Ramezanpour; Reihaneh Khorsand
Abstract
Introduction: The incidence of liver diseases in a person can lead to susceptibility to liver cancer in long-term, which is one of the deadliest forms of cancer in the world, which can be prevented. Early diagnosis of liver diseases is essential for their treatment. The purpose of this study was to classify ...
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Introduction: The incidence of liver diseases in a person can lead to susceptibility to liver cancer in long-term, which is one of the deadliest forms of cancer in the world, which can be prevented. Early diagnosis of liver diseases is essential for their treatment. The purpose of this study was to classify the status of liver patients based on laboratory parameters using the data mining approach.Methods: In this descriptive study, particle swarm optimization (PSO) algorithms and adaptive neuron-fuzzy inference system (ANFIS) were used to diagnose liver disorders in healthy individuals and patients. The data were taken from University of California-Irvine (UCI) database. Accuracy, sensitivity, and precision criteria were used to evaluate the proposed method.Results: The combination of ANFIS and PSO algorithm with average accuracy of 14.99 percent was able to detect liver disorders in Indian Liver Patient Dataset (ILPD).Conclusion: The results of this study indicate the high abilities of ANFIS in liver disorders detection. The proposed model has minimum error, and maximum accuracy and precision compared to other models. The application of this model is proposed in the detection of liver diseases.
Original Article
Hamed Fallah-Tafti; Mahdieh Zahmatkesh-Saredorahi
Abstract
Introduction: Many cities in Iran have specialized human resources and appropriate medical facilities, and have the potential to attract tourists. What is essential in realizing these capacities is the recognition of tourists' mental image of the potentials of therapeutic tourism destinations. The purpose ...
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Introduction: Many cities in Iran have specialized human resources and appropriate medical facilities, and have the potential to attract tourists. What is essential in realizing these capacities is the recognition of tourists' mental image of the potentials of therapeutic tourism destinations. The purpose of this study was to identify the factors affecting the development of therapeutic tourism.Methods: The study was a descriptive survey in Tehran, Iran, during summer and autumn of 2018 and winter of 2019. First, 38 factors influencing the development of therapeutic tourism were identified, and then by Delphi method, 34 factors were identified for formulating a questionnaire. With the reliability and validity of the questionnaire, a sample of 432 health tourists in Tehran with a history of frequent referral were selected randomly. Data analysis was performed using exploratory and confirmatory factor analysis methods.Results: By factor analysis, six main components were identified as factors affecting the development of therapeutic tourism. The factors affecting the development of tourism were as the quantity of health services (human resources and facilities available), quality of health services, living conditions, amenities and tourism, socio-cultural characteristics, advertising, and information.Conclusion: Despite the importance of quantity and quality of health services, due to the increasing demand for travel, patients traveling to receive treatment need more services, and consider the level of service development in different aspects. One-dimensional attention to the expansion of health care cannot guarantee the development of this type of tourism, and the supply of other tourist needs, such as recreation, favorable living conditions, and pleasant memories, is a sufficient condition for development.
Original Article
Hasan Ashrafi-Rizi
Abstract
Introduction: Considering the importance of the role of reviewing articles in the quality of articles submitted for journals, this study was conducted to identify the methods to evaluate and improve reviewer's performance in health scientific journals. Methods: This qualitative research was conducted ...
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Introduction: Considering the importance of the role of reviewing articles in the quality of articles submitted for journals, this study was conducted to identify the methods to evaluate and improve reviewer's performance in health scientific journals. Methods: This qualitative research was conducted using content analysis method. Data were gathered through semi-structured interviews with experts who have had experience enough in health scientific journals including editors in chief, internal managers, editorial boards, authors’ council with at least 2 years of continuous related work experience in journals and review of at least ten articles. Sampling was carried out using purposeful method, and data were analyzed using content analysis method. Lincoln and Guba method was used to determine the validity and reliability of the analysis based on four criteria of credibility, transferability, certainty, and verifiability. Results: Experts’ opinions about the methods to evaluate and improve the performance of reviewers in health scientific journals were categorized in three categories of practical evaluation (functional self-assessment and other functional evaluations), behavioral evaluation (timeliness, and morality- and commitment-based assessment) and technical evaluation (assessment of activity, assessment of experiences, and evidence-based assessment). The analysis of experts’ viewpoints on motivational methods for improving reviewers cooperation, two categories of encouragement factors (financial, non-financial personal, and non-financial communal), and interaction (process awareness, personal communication, and asking question logically). Analysis of opinions on methods for enhancing scientific abilities of reviewers, showed two categories of awareness (providing transparent and up-to-date rules and guidelines, providing scientific feedback, and training), and strengthening responsive behavior (paying attention to efficient reviewers and strengthening the reviewers’ behavioral intellectual model).Conclusion: Awareness of evaluation, reinforcement, and motivation methods of reviewer's performance, improves the quality of reviews. These findings help health scientific journals managers to increase the quality of article review.
Original Article
َAfsaneh Hazeri; Moazameh Goruhi
Abstract
Introduction: Despite the importance of knowledge management in healthcare, this sector is widely viewed within the literature, as accepting the concept last. There is not enough information on the topical content of the field of medical knowledge management. Therefore, this study, using scientometrics ...
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Introduction: Despite the importance of knowledge management in healthcare, this sector is widely viewed within the literature, as accepting the concept last. There is not enough information on the topical content of the field of medical knowledge management. Therefore, this study, using scientometrics approaches, attempted to assist the understanding of knowledge trends, identifying core topics, and revealing the intellectual structure of knowledge in this field.Methods: This was a descriptive, scientometric research, using co-word analysis and hierarchical clustering. The research materials consisted of 868 documents in the PubMed, for the period 1980-2017, that included the term “Knowledge Management” in the title and in the abstract fields. In addition, 200 Persian articles related to the topic, which were covered in Persian databases such as Magiran, Noormagz, the Scientific Information Database (SID) and the Persian Science Citation Index (PSCI) were included.Results: There was a positive growth in both sets of documents with a ratio of 2.98 for English and 2.31 for Persian articles. The keywords of English and Persian papers were clustered in 14 and 10 thematic clusters, respectively. To identify similarities between the two groups of documents, clustering results were compared visually. Only 13 common keywords were presented in the thematic clusters of Persian and English documents, and these were scattered across different clusters.Conclusion: Identifying and clustering core keywords lead to the conclusion that knowledge management in the field of medicine is mostly service-oriented.
Original Article
Mitra Hoomanirad; Mohammad Reza Soleymani
Abstract
Introduction: The purpose of this research was to determine the challenges of writing and publishing of health scientific articles from the viewpoint of the faculty members of Isfahan University of Medical Sciences, Isfahan, Iran.Methods: In this survey, the statistical population consisted of 250 faculty ...
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Introduction: The purpose of this research was to determine the challenges of writing and publishing of health scientific articles from the viewpoint of the faculty members of Isfahan University of Medical Sciences, Isfahan, Iran.Methods: In this survey, the statistical population consisted of 250 faculty members of Isfahan University of Medical Sciences who were selected using stratified random sampling method. The research tool was a researcher-made questionnaire. Its validity confirmed by experienced researchers, and its reliability was determined to be 0.98, using Cronbach's alpha coefficient. Data were analyzed using one-sample t test.Results: Among 6 categories, professional, personal, and facility challenges with mean of 3.05, 3.00, and 2.98 were very important. However, socio-cultural challenge with mean of 2.41 was the least important place.Conclusion: The research policymakers in Iran's universities of medical sciences can consider this challenges, and help to establish evidence-based practice and evidence-based medicine.
مقاله کوتاه
Zahra Nezamabadi; Siyamak Eslami
Abstract
Introduction: Organizational citizenship behavior is an effective factor in the performance of organizations. This study determined organizational citizenship behavior among nurses in hospitals in Tehran City, Iran.Methods: This survey study was performed on 200 nurses in hospitals in Tehran City. Data ...
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Introduction: Organizational citizenship behavior is an effective factor in the performance of organizations. This study determined organizational citizenship behavior among nurses in hospitals in Tehran City, Iran.Methods: This survey study was performed on 200 nurses in hospitals in Tehran City. Data were collected using library resources and a standard questionnaire (α = 0.77). The data were then analyzed using independent t test.Results: There was no statistically significant difference between nurses in state and non-governmental hospitals.Conclusion: In Tehran City, nurses' organizational citizenship behavior was desirable, and there was no difference in organizational citizenship behavior among nurses in state and private hospitals.
