ایندکس
Index Journal
Abstract
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نامه به سردبیر
Farahnaz Naderbeigi; Alireza Esfandiari-Moghadam; Atefeh Zarei; Behrooz Bayat
Original Article
Farahnaz Sadoughi; Saman Mohammadpour; Saba Arshi; Shirin Ayani; Kamyar Fathisalari
Abstract
Introduction: One of the most effective ways to improve the management of asthma in primary care is using guidelines in the patient management process; but due to lack of time, their use is very limited. One way to solve this problem is mechanized guideline in a form of decision-support system that requires ...
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Introduction: One of the most effective ways to improve the management of asthma in primary care is using guidelines in the patient management process; but due to lack of time, their use is very limited. One way to solve this problem is mechanized guideline in a form of decision-support system that requires computer-interpreted guideline (CIG). In this study, a CIG was developed for asthma management in primary care.Methods: This qualitative study was performed using mini-Delphi method uses a workflow-based approach to develop a CIG. The workflows and data components were extracted through Business Process Model and Notation (BPMN) language and Enterprise Architecture (EA) software. Afterwards, they were confirmed through an expert panel of five asthma specialists.Results: The developed CIG included three major workflows, four sub-workflows, and 21 data components. Main workflows included treatment, drug interaction, and follow-up time. Sub-workflows were related to treatment workflow that were developed based on the patient visit number and age.Conclusion: Because the accuracy of this workflow was confirmed by asthma specialists, it is expected that the design of this CIG will lead to development of a cost-effective software for the management of asthma and better detection of drug interactions.
Original Article
Fereshteh Davari; Haniyeh Sadat Sajadi; Elham Ehsani-Chimeh; Khalil Alimohammadzade
Abstract
Introduction: The retention of health human resources in the deprived areas is a global challenge, especially in countries with high geographic dispersion. This study endeavored to identify incentive policies for the retention of physicians and nurses in deprived areas of Iran.Methods: The study was ...
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Introduction: The retention of health human resources in the deprived areas is a global challenge, especially in countries with high geographic dispersion. This study endeavored to identify incentive policies for the retention of physicians and nurses in deprived areas of Iran.Methods: The study was conducted in two stages of review and qualitative. In the review stage, health system policies and interventions for the retention of physicians and nurses in deprived areas of Iran were identified. The list compiled to announce the opinion and complete the policies and interventions of the health system for the retention of physicians and nurses in the deprived areas was provided to 18 experts in the field of health human resources. In the second stage, these policies were prioritized by 44 experts using an electronic questionnaire. Data obtained from the responses were described using frequency, percentage, and mean. The compiled list was approved using the opinions of 18 experts in the field of health human resources. Second, these policies were prioritized through an electronic questionnaire by 44 experts. The data were described through frequency, percentage, and mean.Results: Following the Islamic Revolution, the Iranian health system designed and implemented eight policies, including 40 interventions, for the retention of physicians and nurses in deprived areas. Prioritization findings indicated that the Law of Service of Physicians and Paramedics, Family Physician Program, Instructions on how to distribute medical graduates, and the health transformation plan have greater and longer-term impact on retention of physicians; and the Law of Service for Physicians and Paramedics, the Law on Promoting Clinical Staff Productivity, and the health transformation plan had longer-term effects on retention of nurses.Conclusion: Although policies have been effective in attracting and retaining physicians and nurses in deprived areas, they face challenges and failures. Therefore, it seems necessary for policymakers to review the overall incentive policies, and take serious action to address program challenges by creating cross-sectional coordination, sustainable funding and cost management, and awareness of physicians, nurses and patients' preferences as well as aligning policies with their services and demands.
Original Article
Seyed Morteza Ghayour-Baghbani; Monireh Yegane-Mofrad; Faezeh Hamed-Hamrahiyan; Zahra Alidadi
Abstract
Introduction: Attracting and retaining medical tourists, as well as converting users of medical tourism services into loyal tourists, is of great importance. Situation analysis can boost the capabilities of the medical tourism industry and retain the medical tourist; therefore, this study was conducted ...
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Introduction: Attracting and retaining medical tourists, as well as converting users of medical tourism services into loyal tourists, is of great importance. Situation analysis can boost the capabilities of the medical tourism industry and retain the medical tourist; therefore, this study was conducted to determine the relationship between medical tourists' satisfaction with the intention to return through trust in medical tourism destinations.Methods: In this descriptive-survey, study population was medical tourists referring to hospitals and medical centers in Mashhad City, Iran, of which 384 individuals were surveyed using the available method and a questionnaire. The content and construct validity were confirmed, and the reliability was computed as 0.953 through Cronbach's alpha. Data analysis was performed using Structural Equation Modeling.Results: The study of the relationship between research variables indicated that the satisfaction of medical tourists was significantly related to trust in staff and in the hospital. Besides, the effect trust in staff and in the hospital on the intention of medical tourists to return was confirmed.Conclusion: Three factors of medical tourist satisfaction, trust in staff, and trust in hospital trust play a major role in the return of medical tourists, among which staff trust has the greatest impact on increasing the intention of medical tourists to return to hospitals.
Original Article
Ali Abedini; Hamidreza Irani; Hamidreza Yazdani
Abstract
Introduction: Herbal medicines are important in providing community health, both in terms of treatment and in preventing diseases. However, there has not yet been a slight change in the marketing channel and the distribution of herbal medicines in the country. In view of this, this study endeavored to ...
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Introduction: Herbal medicines are important in providing community health, both in terms of treatment and in preventing diseases. However, there has not yet been a slight change in the marketing channel and the distribution of herbal medicines in the country. In view of this, this study endeavored to identify the problems of herbal medicines marketing channel from the perspective of manufacturers.Methods: The population of this qualitative research were herbal medicine companies in Tehran and Qom provinces, Iran, from which 15 producers were selected as the sample using purposive and snowball sampling methods. Exploratory interviews were conducted with 15 chief executive officer (CEOs) and marketing and sales managers of herbal medicine companies, and the problems were identified and analyzed using framework content analysis method.Results: The problems of herbal medicine marketing channel were as destroying the product brand with inappropriate advertisements and discounts, topics related to visitors and orders, customer relationship management, scientific visit, relationships between distributors, speed, quality and quantity of distribution, termination of cooperation and distribution contracts, time and type of settlement, product returns, so on.Conclusion: To solve the marketing channel problems of the herbal medicine, we need to consider all marketing tactics with a systematic view, as these problems may interact.
Original Article
Adeleh Asadi; Hajar Sotudeh; Javad Abbaspour; Mostafa Fakhr-Ahmad
Abstract
Introduction: Meta-textuality can provide effective medium for facilitating information retrieval and machine learning. This study explored the strengths of two types of meta-texts (i.e., reviewers' comments and citation contexts) in correct classification and recognition of their related texts and main ...
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Introduction: Meta-textuality can provide effective medium for facilitating information retrieval and machine learning. This study explored the strengths of two types of meta-texts (i.e., reviewers' comments and citation contexts) in correct classification and recognition of their related texts and main sections at abstract level.Methods: In this descriptive study with quantitative content analysis method, 846 randomized controlled trials were assessed; and their reviewers' comments and citation contexts were extracted from Cochrane reviews and Colil databases. Thirty seed documents were randomly selected as queries, and their abstract similarities to the test collection and the main sections (IMRaD: introduction, method, results, discussion) were calculated. Receiver operating characteristic (ROC) was used to analyze the performance of Cochrane reviewers' comments and citation contexts individually and in combination.Results: The citation contexts’ area under the curve (0.807) was higher than the Cochrane comments' (0.638), and reached its highest for their combination (0.936). The former had the highest performance in correct classification of the introduction section (0.661), and the latter in correct recognition of the methodology section (0.606).Conclusion: Cochrane reviewers’ comments and the citation contexts had the potential of correct classification of the related texts. The former did well in identifying the methodology section, while the latter in identifying the introduction section. Combining the two systems can boost their power in identifying the discussion section. The results can have implications for natural language processing, machine learning systems, text categorization, retrieval, and summarization.
Original Article
Saleh Rahimi; Faramarz Soheili; Yosef Amininia; Farshid Danesh
Abstract
Introduction: New applications of studies to draw the structure of science include clustering concepts and identifying new fields of studies. This study was co-word analysis of intellectual structure of knowledge in the field of throbbing headaches.Methods: This was a scientometric study conducted through ...
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Introduction: New applications of studies to draw the structure of science include clustering concepts and identifying new fields of studies. This study was co-word analysis of intellectual structure of knowledge in the field of throbbing headaches.Methods: This was a scientometric study conducted through co-word and social network analysis techniques. The data consisted of the total scientific production of throbbing headaches indexed in the Web of Science from the year 2005 to 2017 with 35050 records. After unifying, the co-wording matrix was provided and through cluster analysis method, the data were analyzed.Results: The most often word was migraine keyword in the field of throbbing headaches. Moreover, the results of hierarchical clustering by the Ward method led to the formation of nine clusters in this area. The major clusters were “intracranial hypotension”, “headache and treatment”, “nervous stimulation and headache”, and “traumatic injury”. The density and degree centrality of the cluster ranking from the analysis of the co-word indicated that the vertigo cluster had the highest concentration and anxiety cluster of the highest density.Conclusion: The co-word analysis can uncover the intellectual structure of scientific disciplines. Due to the frequency of obtained keywords and clusters, the results of the two-dimensional scale showed that the matic areas of “tolerability” and “nervous stimulation and headache” were the most important emerging fields.
بیان دیدگاه
Hamid Reza Sodagar; Hamide Rezaei; Moosareza Eshaghpour-Rezaee
