مجله اطلاع رسانی پزشکی نوین
سال نهم شماره 3 (پیاپی 25، پاییز 1402)

Nurses spend most of their work time on documentation. Nursing reports includes the results of care and patient response. The proper reporting can indicate the appropriateness of the services provided. Incomplete nursing report can endanger the safety of the patient and the position of the nurse. Today, with the development of nursing care, the amount of nursing reports has increased.

The novel coronavirus disease (COVID-19) was first reported in late November 2019. Identifying the characteristics of this disease can help make decisions and control the pandemic. The present study aims to determine the characteristics and clinical results of patients with COVID-19 hospitalized in Masih Deneshvari Hospital in Tehran, Iran.

In this cross-sectional study, the study population consists of all patients diagnosed with COVID-19 and hospitalized in Masih Deneshvari Hospital in Tehran from February to May 2020. By using a prepared checklist, the demographic and disease-related characteristics of patients were extracted,. The data were then entered into SPSS software and were analyzed using descriptive statistics and chi-square test. P<0.05 was considered statistically significant.

In this study, 700 patients were examined, of whom 451 (64.4%) were male and the rest were female. The most common symptoms were shortness of breath (97.8%) and cough (96.4%). The highest rate of infection was in the age group of 56-65 years. Also, 640 (91.4%) had underlying diseases and 42% were overweight (BMI: 25-29.9 kg/m2). Moreover, 88.2% were recovered and 11.8% were died.

Most of the people infected with COVID-19 admitted to the study hospital were male and middle-aged. Analyzing the relationship between different factors in epidemiological studies can increase the attention of caregivers and decision makers to reduce the spread of the diseases.

Thyroid diseases are common disorders worldwide. The timely diagnosis and control of this disease can prevent its progression and reduce associated complications. This study proposes a novel hybrid method by combining particle swarm optimization (PSO) algorithm and artificial neural network (ANN) for the timely detection of thyroid disorders.

This is an applied survey study, conducted in 2022. In this study, the target population consisted of the data of 400 patients referred to Imam Reza Hospital in Lar County, Iran from 2021 to 2022 which were collected by field study. Among them, 300 had thyroid disease and 100 were healthy. MATLAB software was used for implementing the proposed learning model and analyzing the results.

The regression coefficient of the proposed model in there modes of training, validation, and testing were 0.98, 0.97, and 0.95, respectively. The area under the ROC curve was 0.98, the error rate was 0.004, and the overall accuracy was 96%.

The proposed model can distinguish patients with thyroid disease from healthy individuals with acceptable accuracy and low errors. This model can be used as a useful tool in predicting thyroid diseases.

High perceived organizational support can make employees feel that they belong to the organization and have less intention to leave their jobs. This study aims to determine the relationship between turnover intention and perceived organizational support in nurses working in hospitals in Gorgan, Iran.

This cross-sectional study was conducted in 2021 on 293 nurses from 16 hospitals affiliated to Golestan University of Medical Sciences who were selected by stratified sampling method, proportional to the population. The data collection tool was a three-part questionnaire including demographic/occupational form, Kim et al.’s turnover intention questionnaire (TIQ), and Eisenberger et al.’s Perceived Organizational Support Questionnaire (POSQ). The data were analyzed using SPSS software, version 16. 

The mean scores of TIQ was 39.91±12.18 and the mean score of POSQ was 23.66±6.6. There was a negative significant relationship between turnover intention and perceived organizational support (P<0.001).

The turnover intention and perceived organizational support of nurses in Gorgan are at a moderate level. As the nurses’ perceptions of organizational support decrease, their turnover intention can increase. It is necessary to create a supportive environment for nurses, in such a way that this support be tangible and understandable to them and can cause job satisfaction and prevent them from leaving the job.

Cardiopulmonary arrest occurs at any time and place. Most of cardiac arrests happen in places outside the hospital without access to experienced people. If the family members have the ability of cardiopulmonary resuscitation, they can prevent brain death in the golden time. This study aims to assess the effect of virtual cardiopulmonary resuscitation training on the self-efficacy of family caregivers of patients with cardiovascular diseases. 

This is a randomized controlled field trial that was conducted on 60 family caregivers of patients with cardiovascular diseases referred to the heart clinic of Razi Hospital in Birjand, Iran in 2021. They were selected by a random sampling method and were randomly divided into two groups of training (n=30) and control(n=30). They completed a demographic form and the Basic Resuscitation Skills Self-Efficacy Scale. The collected data were analyzed in SPSS software, version 20 using descriptive statistics, independent t-test, paired t-test, and chi-square test. The significance level was set at 0.05.

The mean posttest score of self-efficacy in the training and control groups were 4.15±0.49 and 3.12±0.58, respectively, which was significantly different (P<0.001). There was no significant difference in the pretest score of self-efficacy between the training (2.97±0.82) and control (3.09±0.64) groups (P=0.53).

Virtual cardiopulmonary resuscitation training has a significant effect on increasing the self-efficacy of family caregivers of patients with cardiovascular diseases. Virtual education can be effective due to lower costs and higher efficiency. Therefore, it is recommended for planners to use this method of education in their policies for cardiovascular diseases.

Organizational citizenship behavior is a valuable and useful behavior that employees show voluntarily and willingly. This study aims to determine the relationship between intra-organizational intelligence and organizational citizenship behavior of hospital staff mediated by their resilience..

This is a descriptive-correlational study that was carried out in 2021. The study population consist of administrative, financial and support staff of private hospitals in Shiraz, Iran (n=164). Of these, 143 were selected by simple random sampling method. The sample size was determined using Cochran’s formula. The measurement tool was a researcher-made questionnaire measuring demographic characteristics, cultural intelligence, emotional intelligence, spiritual intelligence, moral intelligence, resilience and organizational citizenship behavior with a 5-point Likert scale from completely agree to completely disagree. The Cronbach’s alpha coefficient of the questionnaire was calculated as 0.87 and its validity was also obtained by using experts’ opinions. To test the normality of the data, the Kolmograph-Smirnov test was used, and To analyze the data, artificial neural network (ANN) and the Spearman’s correlation test were used. Statistical analyses were performed in SPSS software version 22.

Of 143 questionnaires, 115 were completed. The correlation coefficients according to Spearman’s test and ANN-based test were 0.67 and 0.32 for the relationship between cultural intelligence and resilience, 0.42 and 0.12 for the relationship between emotional intelligence and resilience, 0.53 and 0.22 for the relationship between spiritual intelligence and resilience, 0.49 and 0.25 for the relationship between moral intelligence and resilience, and 0.73 and 0.86 for the relationship between resilience and organizational citizenship behavior.

Intra-organizational intelligence of hospital staff in Shiraz city have a positive and significant correlation with organizational citizenship behavior mediated by resilience. This can increases extra-role, efficient and socially oriented behaviors, which can result in increased employee commitment and job satisfaction as well as productivity and success in organization.

The cultivation of work ethics within the work culture of society can lead to progress and advancement. This study aims to determine the current state of work ethics and the influential factors in Farabi Hospital, Tehran, Iran.

This cross-sectional study was conducted in Farabi Hospital in Tehran, Iran in 2020. Using the census method, all the personnel working in the hospital (n=616) were selected as the study samples. The Occupational Work Ethic Inventory (OWEI) was used to measure the work ethic. Data analysis was done in SPSS software version 20.

The mean score of OWEI and its subscale scores were significantly different based on the type of employment, the number of times receiving incentives or rewards, work experience, education level, and socio-economic status of the employees. However, no significant difference was reported in terms of sex, marital status, and income level.

For improving the work ethic level and its indicators in Farabi Hospital, the reward system and payments should be modified.

MS is an inflammatory disease in which the myelin sheaths of nerve cells in the brain and spinal cord are damaged. Analysis of scientific publications of MS can show the scientific performance of the world in this important field. Therefore, the purpose of this study is to analyze and evaluate the prevalence of this disease in the world in order to extract the pattern of scientific outputs

In this study, bibliometric and illustration methods from Web of Science database were used. We first selected the MS-related keywords from the mesh (medical subject headings). Then, by searching the database, global scientific publications related to MS were extracted in CSV format and data were analyzed and illustrated using citation analysis techniques with the help of Excel and VOSviewer software.

A total of 1902670 documents were indexed by world researchers about MS in this database. The average citation per document was 2.60 and the average h-index of retrieved publications was 15. Most of the published articles were original and in English, and most of the articles by researchers were published in MULTIPLE SCLEROSIS JOURNAL. Lipro University was the most prolific institution in Europe and Kim MS was the most prolific author with 14503 degrees. Most collaborations were with researchers in the United States. The subject of neuroscience had the largest number of published documents

Finding showed that worldwide various research institutes with the main participation in the dissemination of information sources have conducted acceptable research in the field of MS.

This study aims to investigate the necessity of designing the Ontology of Islamic Medicine in based on the semantic web.

In this review study, the studies related to the creation and evaluation of knowledge organization systems (KOSs) in Islamic Medicine as well as the ontology design in traditional medicine in the period published from 2010 to 2022 were searched in databases including Magiran, NoorMags, ISC, ResearchGate, PubMed, Web of Science and Google Scholar. Selection methods for study: In this study, the documentary method was used. After searching using related keywords, 20 eligible articles were selected and reviewed.

Ontologies, by covering hyponymy, meronymy, equivalents & specified relations, as well as having a multidimensional structure and covering functions such as eliminating ambiguity, controlling synonyms or equivalents, establishing explicit semantic relationships such as hierarchical relations, and presenting both relations and properties of concepts in the knowledge models, can represent more complex relationships than other KOSs. 

Ontology design is one of the most effective methods for accurate semantic description of the knowledge of the Islamic Medicine. One of the capabilities of ontologies is to display relationships between concepts related to diseases, symptoms, drugs and diagnoses using a graphic environment. Semantic Web technologies raises the necessity of designing ontologies.