نشریه مدیریت اطلاعات سلامت
سال شانزدهم شماره 1 (پیاپی 65، فروردین و اردیبهشت 1398)

Today, the nature of data and information in health care organizations has led to a greater emphasis on health information security. Considering the role of the hospitals’ health information management staff in this issue, this study investigated their knowledge, attitude, and performance about health information security. This descriptive-analytic study was conducted on 367 employees of health information management in Iranian hospitals in 2018. After confirming its validity and reliability, a questionnaire was sent to the participants via social networks. In this study, Pearson coefficient, independent t, and ANOVA tests were used to assess the hypotheses. Scores for knowledge, attitude, and performance of participants regarding health information security were 0.67 ± 0.25, 3.35 ± 0.53, and 1.47 ± 0.41, respectively. Furthermore, the scores in each of these three dimensions had a direct and significant relationship with age, work history, academic achievement, and field of study (P = 0.001). Considering the state of knowledge, attitude, and performance of employees, it is possible to improve the status of health information security in hospitals by conducting training courses.

In recent years, the infertility ratio in young couples has been increased a lot in Iran. From the other side, it has been shown that data mining techniques are capable of extracting novel patterns from medical data. In this study, we proposed a comprehensive system called Prediction of the best Infertility treatment using Outlier Detection and Ensemble Methods (PIODEM) for predicting of the best infertility treatment method for infertile couples. This descriptive-correlation study used the information of 527 infertile couples, which collected by Avicenna specialized infertility center, Tehran, Iran. PIODEM consisted of three steps: first, it used the discriminant analysis to find effective factors for choosing the best infertility treatment; second, it detected the outlier samples, and applied a correlation between these samples and the choice of treatment method; third, it used ensemble methods to increase the precision of classifiers. The system of PIODEM succeeded to discover effective factors such as male age, infertility duration, immotile sperm, decreasing of sperm concentration, total sperm count, morphology, sperm motility, sperm with rapid progressive-a motility, and sperm with slow progressive-b motility. Additionally, PIODEM indicated that if one of four features of sperm concentration, toxoplasma immunoglobulin M (IgM), triiodothyronine (T3) hormone, and thyroid peroxidase (TPO) was outlier, then the prediction of treatment would be more accurate. Finally, using ensemble methods increased F-measure of PIODEM up to 76%. The PIODEM system is able to discover effective factors in the choice of treatment method, using differential analysis and analysis of pert data. This system offers patient information as input for the treatment method.

Ever rising of health expenditure all over the world has shifted policy makers’ attention to the determinants of health expenditures. The purpose of this study was to investigate the determinants of health expenditures in Iran and the countries which are the members of Perspective Documents of Iran-1404 (Hijri). This was a descriptive-analytic study that investigated the impact of gross domestic product (GDP)/capita, urbanization rate, unemployment rate, the percentage of the population ages 0-14 years, the percentage of the population ages 65 years and above, population growth rate, number of hospital beds, and number of physicians on health expenditures using panel data from World Bank during 1995-2014 for Iran and other country members of the Perspective Document of Iran-1404. GDP/capita, urbanization rate, and the percentage of the population ages 65 years and above had a positive impact on health expenditures. Unemployment rate, the percentage of the population ages 0-14 years, and number of hospital beds had a negative impact on health expenditures. The results of this study showed that urbanization rate and the percentage of the population ages 65 years and above had the greatest impact on rising health expenditures. These findings can be used by policy makers in the health sector to design a better future for the health of the population while containing the health expenditures.

As the largest and most complete providers of primary healthcare services, employees of the emergency departments are constantly faced with not predetermined risks and stresses, which can often disturb their peace, and reduce their quality of lives. Therefore, this study aimed to recognize the factors affecting the quality of life of the emergency department staff (i.e., physicians, nurses, and emergency medicine specialist) of hospital in Isfahan Province, Iran, in year 2016. This descriptive and analytical study was conducted using the census method, and employed the 26-item World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire to evaluate and detect the factors affecting the quality of life of 584 employees working in the emergency departments. Data analysis was carried out using one-way analysis of variance, Kruskal-Wallis, and multiple regressions tests. The mean quality of life score was 81.31 ± 16.25 for nurses, whereas it was 85.91 ± 15.05 and 90.15 ± 17.76 for physicians and emergency medicine specialists, respectively, with a significant difference (P = 0.030). In this regard, factors with significant impact on the quality of life of all the emergency department staff were reported to be age below 30 years (P = 0.010), workplace (P = 0.002), and warm climate (P = 0.040). Due to the sharp decrease in the quality of life of nurses in the emergency departments of hospitals in Isfahan Province, healthcare authorities must recognize the factors which threaten and decrease the quality of life in order to improve the quality of life and eliminate related barriers among the employees of the emergency departments, especially the nurses.

As science progress is the result of collective activity, the study of quality and quantity of coauthorship in countries, institutions, and journals is important. This research examined the scientific collaboration between disciplines, institutions, countries, and authors of the Journal of Health Information Management. This study was done using coauthorship analysis with scientometrics approach. All of the authors of articles from 2004 to 2017 were extracted with their affiliations. The coauthorship analysis, and calculating centrality indicators, and the frequencies of studied items including authors and their affiliations were done. Among the institutions, Medical Services Management, Isfahan University of Medical Sciences (102 articles), Medical Library and Information Science, Isfahan University of Medical Sciences (87 articles), and Medical Services Management, Tehran University of Medical Sciences (46 articles) had the most articles, respectively. Moreover, Medical Services Management, Isfahan University of Medical Sciences also had the highest level of collaboration with other institutions. There were international collaborations with the United States, Austria, Australia, the United Kingdom, Bosnia and Herzegovina, France, and Malaysia in this journal. Considering of the importance of inter-institutional and international collaborations in national and international evaluations of journal indexing databases, despite the appropriate level of internal and external scientific collaboration of this journal, it is necessary for this journal to consider the acceptance and recruitment of articles with the collaboration of authors outside the university, to improve its status regarding to these criteria.

was investigating the methods of integrating of Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) in developing process of International Classification of Diseases-11 (ICD-11). This study was a kind of narrative review through which the electronic databases (PubMed, ScienceDirect) and Google Scholar search engine were searched by predefined combined terms of "ICD-11 SNOMED", "Mapping Alignment Harmonization". Studies were focused on five categories including basic concepts usable for ontology, the interpretation of the code as a situation rather than situation, common ontology, alignment method, and semantic rules. The results of this study showed the differences between the ontology-based terminology and the classification that make the mapping challengeable. Meanwhile, Semantic Web techniques provide advanced solutions for the matching and integration of heterogeneous data.