Journal of Health Information Management
Year:2020 | Volume:17 | Issue:3 (73)|Papers Count:8

Introduction: Medical records can be defined as a document of the patients' treatment process. Complete and accurate information recording in the medical records of poisoned patients can play an important role in their complete clinical coding. This study aims to determine the amount of registered information required for clinical coding in the medical records of poisoned patients admitted to Imam Reza Hospital in Mashhad, Iran. Methods: This descriptive cross-sectional study was conducted in 2019. 387 records were selected and reviewed by simple random sampling from all medical records of patients admitted to the poisoning ward of Imam Reza Hospital of Mashhad University of Medical Sciences. The instrument was a valid and reliable checklist. Data analysis was conducted using descriptive statistics. Results: The type of poisoning was registered in 387 (100%) medical records and in only 20 (5. 2%) medical records the poisoning substance was an unknown drug. In 183 (47. 3%) medical records, an external cause was registered for the poisoning, with 19 (4. 9%) and 1 (0. 3%) medical records including the individual's place of exposure and activity during exposure, respectively. Conclusion: The findings of this study can be used to plan and compile the necessary guidelines for the proper accurate documentation of medical records and the possibility of high quality clinical coding.

Introduction: Diagnosing anxiety in the early stages by psychiatrists is one of the important steps in preventing and controlling these types of disorders. This study endeavors to present a method to diagnose the severity of anxiety using fuzzy C-means clustering (FCM) algorithm. Moreover, the influence of each feature on measuring anxiety and clustering of clients is determined. Methods: This was a quantitative and descriptive study with a dataset including 300 clients related to three psychiatric clinics in Tehran, Iran provided based on the Beck Anxiety Inventory (BAI). Then, the FCM algorithm was utilized to segment the clients and determine the severity of their anxiety in each cluster. Additionally, this algorithm was employed for each feature separately. Results: The psychiatric clinics' clients were divided into four clusters with the labels including no, minimal, moderate, and severe anxiety. Using the FCM algorithm, the anxiety of the clients was diagnosed with 90. 66% accuracy. Moreover, as a result of implementing the algorithm on each feature, the influence of the features on measuring anxiety and clustering of clients was determined. Conclusion: The FCM algorithm diagnosed the anxiety of clients with a high accuracy. Segmenting patients by the clustering approach and based on the important features can be a dependable instrument for psychiatrists to make a decision in diagnosing the severity of anxiety in the early stages.

Introduction: Supply chain management (SCM) is one of the management approaches to provide products and services to users in a timely manner. The purpose of this study is to identify the factors related to health tourism supply chain in Yazd, Iran using structural equation modeling (SEM). Methods: This was a descriptive study. To collect the data, a survey approach was used that included the opinions of health experts and tourists. To develop the survey instrument, library studies and Delphi method were used, which according to the experts, 37 final factors were used to design the questionnaire. Ensuring the validity and reliability of the questionnaire, 330 health tourists in Yazd were solicited through the survey. Using exploratory factor analysis (EFA), 7 major components were extracted and named based on items; this way, a structural model of the study was formed, which was fitted in the process of confirmatory factor analysis (CFA) and the significance of the components was confirmed. Results: According to the amount of variance explained, the standards of medical service centers with 32. 358, information technology with 14. 696, banking with 7. 63, attractions with 5. 48, international standards with a value of 4. 612, the diversity of health services with a value of 2. 820, and government programs with a value of 1. 952, respectively, had the most significant effect on the health tourism supply chain in Yazd. Conclusion: The final output of this study was a measurement model of health tourism supply chain in Yazd Province, in which the factors were categorized and suggestions were made to improve the factors.

Introduction: Political, economic, and cultural forces of the environment can play an important role in shaping the behavior of foreign consumers. However, so far, their impact on the process of selecting medical tourism destinations in foreign target markets has not been considered by researchers. Therefore, this study endeavors to explore the role of political tensions, economic issues, and religious differences in the occurrence of adverse feelings among Iraqi consumers and possible consequences in the marketing of medical tourism destinations. Methods: This applied study was performed using a mixed-methods sequential explanatory design (i. e., qualitative + quantitative). In the qualitative phase, potential sources of consumer animosity were identified through in-depth interviews with 25 Iraqi university professors and researchers and using the thematic analysis method. In the quantitative phase, the data collection instrument was a questionnaire whose validity and reliability were confirmed. The sample size was 385 individuals who were selected through convenience sampling method. The data were analyzed through Structural Equation Method. Results: In the qualitative phase, political, economic, and religious issues were identified as the main dimensions of consumer animosity, but based on the findings of the qualitative section, the influence of political factors and economic factors on the animosity of Iraqi consumers were confirmed. The animosity reduces the willingness to travel to medical tourism destinations and social exposure to travel experience but has no effect on the evaluation of the quality of the services. Conclusion: Political and economic issues give rise to negative feelings for foreign clients of medical services in the country of origin of medical services which in turn cause undesirable consequences such as reduced desire to travel to medical tourism destinations. Therefore, managers and stakeholders in this sector should pay attention to the importance of these factors in the decision-making process and consumer selection in target countries, especially Iraq, and adopt appropriate marketing strategies to mitigate these negative effects.

Introduction: Altmetrics (Alternative Indicators) are indicators which can be exploited alongside traditional scientometric concepts based on the citation analysis to examine the impact of scientific products on the Web 2. 0 environment. The purpose of this study is to investigate the prevalence of international articles in the field of medical informatics and health information management (HIM) in social media and to determine the level of use of researchers from these media, in addition to identifying top articles based on Altmetrics scores. Methods: The present study was conducted with a scientometric approach using Altmetric indicators. The research population consisted of 64 journals in the field of HIM and medical informatics indexed at the SCImago Journal Rank (SJR) and Scopus databases. All the necessary information about the journals and articles, such as the name of the journal, the name of the article, the altimetric score, etc. was obtained by referring to the Altmetric. com website. Spearman correlation test was used to analyze the data. Results: Mendeley, Twitter, and Facebook were among the social media that received the most mentions. The findings indicated that there was a significant relationship between altmetrics coverage (presence in social web environment) and three quality performance indices (SJR, snipe, and site score). The correlation coefficients obtained for these three indices were 0. 401, 0. 248, and 0. 285, respectively. Conclusion: Social media can have a positive effect on the citation rate of scientific articles. Therefore, researchers in the field of medical informatics and HIM can increase the number of citations by sharing their works on social media. Due to the lack of strong correlation in this study, altmetrics can be used to complement scientometrics indices, but not as an alternative to evaluating scientific research.

Introduction: Co-authorship is one of the examples of scientific collaboration. In scientific collaboration, researchers share their facilities, information, and capabilities to produce high quality works. The purpose of the present study is to analyze the social network structure of co-authoring among Iranian researchers in the field of nursing, from the standpoint of micro and macro indexes of social network analysis. Methods: This was a descriptive and applied study carried out through a scientometrics approach. The study population comprised 2036 records of scientific output by Iranian researchers in the nursing field indexed in the Web of Science Database over the period of 2013-2018. Results: Findings showed that the trend of publishing works on nursing by Iranian researchers was increasing during this period. Furthermore, Tehran University of Medical Sciences, Islamic Azad University, and Shahid Beheshti University of Medical Sciences were the most productive Iranian universities in the field of nursing. On the other hand, a review of the co-authorship network of scientific outputs in the field of nursing from the standpoint of micro indexes showed that Ahmadi, Abbaszadeh, Borhani, Ebadi, and Mohammadi were the most effective authors in this network. According to data retrieved from the Clarivate Analytics of Web of Science Database, these authors were among the most prolific authors in the field. In terms of macro indices, density values of 0. 02, clustering coefficient of 1. 67, mean distance of 3. 175, and network diameter of 7 were obtained for coauthoring network of Iranian scientific outputs in the field of nursing. Conclusion: In terms of scientometric indicators, this network is not sufficiently coherent. In addition, the majority of the collaborations were on a domestic scale and little scientific sharing had been made with foreign researchers.

Introduction: Scientometric study is one of the efficient methods of academic evaluation in authentic databases. Hierarchical clustering is also a useful instrument in providing an overview of a studies in a field and understanding of its knowledge structure. Therefore, this study tries to explore the intellectual structure of the studies carried out in the field of gastric cancer. Methods: This study was carried out using co-word analysis and hierarchical clustering of scientometric methods with an analytical approach. The study population included keywords of articles indexed in Web of Science database in the field of stomach cancer from 1979 to 2019. The population included 58, 709 records indexed on the Web of Science database from 1979 to 2019 and included 207, 625 keyword extracted. Data were analyzed through strategic and dendrogram chart. Results: Findings related to hierarchical clustering by Ward method led to the formation of four clusters in this domain: Cell signaling in cancer, Oncogenes and cancer, Roll of cell cycle and check points in cancer, Reasons and diagnosis. The clusters 2 and 1 (Oncogenes and cancer and Cell signaling in cancer) had the highest and lowest concentration among the clusters, respectively. Besides, clusters 1 and 2 (Cell signaling in cancer and Oncogenes and cancer) had respectively the highest and lowest density among the clusters. Conclusion: Hierarchical clustering has the potential of providing a clear image of the academic structure of studies in the gastric cancer domain. The results of the analysis of articles in the field of gastric cancer that led to the identification of underdeveloped areas can be an academic basis for future researchers.

Introduction: In order to identify the protocol of public libraries' activities during the Coronavirus Disease 2019 (COVID-19) outbreak, it seems necessary to take into account the solutions and actions that have already been applied internationally. This study endeavors to explore challenges and actions of public libraries during COVID-19 crisis for reopening and providing services by analyzing international guidelines and actions. Methods: This study was a narrative review with qualitative content analysis research method. After surfing the web pages by Google search engine and selecting 39 related pages of search results, issues related to the effect of COVID-19 on public library services were analyzed by inductive content analysis. Then, the extracted codes were categorized. Four-dimension criteria (credibility, dependability, confirmability, and transferability) were implemented to enhance the robustness of the study. Results: 340 codes were identified which were categorized into three broad categories as preventive and healthy actions in libraries, development of information services under conditions of COVID-19, and restrictions and challenges in providing library services. Conclusion: Iranian public libraries managers should consider various aspects for addressing or developing services and it seems necessary to pay attention to the issues identified in this study as a primary principle. Therefore, these results can be used in the development of the COVID-19 crisis management program for Iranian public libraries.