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Showing 7 results for Panahi
The study of Nursing staff participation in strategic decision making in Tehran University of Medical Sciences Shariati Hospital
M Zahavi, N Sadre Momtaz, Sh Arpanahi Istadegi,
Volume 3, Issue 3 (25 2010)
Abstract

Background and Aim: The main goal of each hospital - like all health care sectors - is protecting and increasing the health level in orsig country. The important role of human resources in hospitals is appropriate strategic decisions making for fast environmental changes and shows the need of staff participation. Nurses as a one of the biggest parts of hospital staff need to participate much more in strategic decision making in hospitals. This article is aimed to measure the level of nurses' participation in strategic decisions making.  

Materials and Methods: This research is descriptive - analytic. Total nurses of Shariati hospital were 577 nurses of which 175 nurses were selected and studied.The gathering information instrument was questionnaire adapted from Dustdar thesis. This questionnaire contained 35,5 - choice questions set by Likert basis. Project's data was analyzed with SPSS software in % 95 confidence levels and statistical specifications like mean, standard error,correlation and non parametric tests were used.

Results: According to the results obtained, there are meaningful relation between staff participation in strategic decision making and: marriage situation (PV=0.01), Decision Directing (PV=0.0), culture of participation (PV=0.00), organization maturity (PV=0.00) and risk tolerance (PV=0.01)  

Conclusions: It has been observed that nurse participation in strategic decision making in Shariati hospital is in "low" position (participation mean score: 28.52 from 100). So an administrator effort for spreading culture of participation to owner's process is something that should be paid attention more than before.


Opinions of clinicians towards use of computer applications for detecting drug-food interactions
As Gharamaleki, A Ahmadi, F Faraji Khiavi, Sh Arpanahi Istadegi, K Jafarian,
Volume 5, Issue 1 (26 2011)
Abstract

Background and Aim: Adverse events in hospitals are found to be a major problem of all health systems in the world. In fact, drug interaction side effects are now the fourth leading cause of death in the U.S. The aim of the current study was to identify the opinions of clinicians working in Shariati and Emam hospitals towards the use of computer applications for detecting drug-food interactions.

Materials and Methods: Ninety clinicians including physicians, pharmacists and nurses were selected randomly in the current descriptive- analytical study. The opinions of clinicians toward using computer application systems for detecting drug-food interactions were assessed by a questionnaire. The questionnaire's validity and repeatability was examined in a pilot study. Cronbach's alpha was 0.85 which indicated an acceptable level of repeatability of the questionnaire. The questionnaire was distributed among the academic staffs in order to determine its validity.

Results: 95.4% of clinicians had positive attitudes towards the requirement of computer application to detect drug-food interactions. Around 94% of them showed their willingness towards using the computer application systems. Therefore, use of computer application seems to be necessary in health system.

Conclusions: The collection and analysis of data encourages further investments in computerized system to prevent drug-food interaction. Such built-in warning systems in hospitals alert doctors to drug-food interaction and improvement in patient care. Screening each patient's medication plan for drug-food interactions can reduce medical error and improve the quality of health care


The Impact of Vaccination and Trade Openness on Child Mortality under Five
Hossein Panahi, Seyed Ali Aleemran,
Volume 11, Issue 1 (5-2017)
Abstract

Background and Aim: The present study aimed to assess the impact of trade openness and vaccination on child mortality under five because the mortality of under-five-year-old children is one of the most important indexes of health and development. 
Materials and Methods: Using an Eviews6 software, this study is doing a causal-analytic approach by exhausting a Johansen-Juselius method over the period of first quarter of 1984 to forth quarter of 2013, in Iran.
Results: Coefficients for each of the variables in the model were consistent with the theoretical bases. Based on the findings of the study, the increase of one unit in each of the variables of DTP vaccine and trade openness leads to the decrease of child mortality as much as 0.23 and 4.36 units, respectively. Also, the results based on error correction model indicate that in each period, about 0.04 of short-run imbalances is adjusted to achieve a long-term balance.
Conclusion: Since the increase of vaccination and trade openness reduce the mortality of under-five-year-old children, it is suggested that the immunization of children be trained in all parts of the country so that we can achieve high rates of growth and development by the delivery of healthy factors of production to the society. Moreover, by increasing trade relations and dealings with other countries, we can prepare the grounds for the entry of new knowledge and medical equipment as well as health promotion and human development. 


Familiarity with and Use of Web 2.0 Tools in Library Services by Librarians Working at Iran, Tehran, and Shahid Beheshti Universities of Medical Sciences
Sirous Panahi, Aala Abtin, Shahram Sedghi,
Volume 13, Issue 1 (Apr & May 2019)
Abstract
Background and Aim: Web 2.0 technology has various usages in libraries all over the world. According to studies, however, it seems that this technology is rarely used in Iranian academic libraries. Therefore, the present study aims to determine the level of familiarity with and use of Web 2.0 tools among librarians working at Iran, Tehran, and Shahid Beheshti Universities of Medical Sciences.
Materials and Methods: This is a survey study. The statistical sample included 91 librarians working at the libraries of Iran, Tehran, and Shahid Beheshti Medical Universities.The data were collected through a questionnaire that was graded in the Likert 5 range (very low to very high) and analyzed by descriptive and analytical (one-way ANOVA) statistics using SPSS software.
Results: The level of awareness of Web 2.0 tools among librarians working at the studied libraries was relatively satisfactory with an average score of 3.13. However, the level of their use for personal activities (with an average score of 2.89) as well as for professional activities (with an average score of 2.78) was relatively low.
Conclusion: Due to the unsatisfactory level of librarians' familiarity with and use of Web 2.0 tools, holding training courses as well as encouraging medical librarians to acquire more knowledge and to use these technologies in library services are recommended.

A Survey of Librarians' Perspectives on Marketing Library Services Using Social Media in Tehran, Iran, and Shahid Beheshti Universities of Medical Sciences
Sirus Panahi, Leila Nemati Anaraki, Nahid Roostaei,
Volume 15, Issue 4 (oct & Nov 2021)
Abstract
Background and Aim: The present study has examined librarians' views on the marketing of library services using social media as well as the applications, benefits, and challenges of their use in Tehran, Iran, and Shahid Beheshti Universities of Medical Sciences. 
Materials and Methods: This research was a descriptive and applied survey and was conducted in 2019. The data collection tool was a researcher-made questionnaire based on texts. The validity of the content of the questionnaire was confirmed by 9 professors of librarianship and medical information, and the reliability of the questionnaire was confirmed by an alpha coefficient of 0.95. The study population consisted of 115 librarians working in the mentioned libraries. Descriptive statistics and SPSS software were used to analyze the data. 
Results: The results of the present study indicate that the level of librarians’ knowledge about social media tools with an average of 3.49 is at a relatively desirable level and the rate of use in library affairs with an average of 1.81 is undesirable. In addition, Telegram, WhatsApp and blogs are the most frequently used social media tools, respectively. Moreover, challenges examined from librarians’ point of view are examined separately at different levels of factors related to librarians, users, technical factors and organizational factors. Challenges of social media filtering in Iran are those in marketing library services with an average of 3.6 and security issues in using social media with an average of 2.8 with the fewest challenges among organizational factors. From librarians’ point of view, lack of specific rules for using social media in marketing library services with an average of 3.25 is the most and the challenge of legal and financial issues of the library as an affiliated organization with an average of 2.91 is one of the fewest challenges in using social media in marketing library services from the librarians' point of view.
Conclusion: Familiarity and importance of using social media for marketing in libraries was in a relatively favorable position from the librarians' point of view. Low cost of use has been the most important advantage and lack of interest and resistance to use have been the most important challenges of using social networks in library marketing.

The Viewpoints of Alborz University of Medical Sciences’ Faculty Members on Open Peer Review of Journal Articles
Sirous Panahi, Seideh Fakharpour, Shahram Sedghi,
Volume 15, Issue 6 (Feb & Mar 2022)
Abstract
Background and Aim: The open peer review process, which is one of the peer-reviewed methods in journals, has been accepted in scientific forums. The aim of this study was to investigate the points of view of university faculty members about the open peer review process of journal articles.
Materials and Methods: The study used a descriptive survey. The sample size was calculated using the Cochran’s formula of 150 people out of a total of 246 faculty members of Alborz University of Medical Sciences. The research tool was a questionnaire designed based on the existing literature. Data were analyzed by SPSS software using descriptive statistics and paired t-test.
Results: The results showed that the participants’ views on “approaches and processes of open peer review” with 3.48 mean score and “benefits of open peer review” with mean score of 3.70 were relatively desirable. Among the open peer review styles, participants preferred the “open reporting” and “data peer review” styles, respectively. Participants’ views on the “advantages and disadvantages of open peer review” also indicated that participants agreed with most of the components presented in this area. There was also a statistically significant difference between the mean score of participants’ views on the traditional peer review process and open peer review (P<0.05).
Conclusion: Open peer review is relatively accepted among the faculty members of Alborz University of Medical Sciences. As the acceptance of this type of peer review increases among the scientific community, paying attention to the attitudes and views related to the open peer review process can improve the quality of articles and research published in scientific journals.
 

Design of Clinical Decision Support System to Diagnose Breast Cancer: An Approach Using Data Mining
Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Raoof Nopour,
Volume 16, Issue 2 (Jun 2022)
Abstract
Background and Aim: Breast cancer is one of the most common and aggressive malignancies in women. Timely diagnosis of breast cancer plays an important role in preventing the progression of this disease, timely treatment measures, and aftermath reducing the mortality rate of these patients. Machine learning has the potential ability to diagnose diseases quickly and cost-effectively. This study aims to design a CDSS based on the rules extracted from the decision tree algorithm with the best performance to diagnose breast cancer in a timely and effective manner.
Materials and Methods: The data of 597 suspected people with breast cancer (255 patients and 342 healthy people) were retrospectively extracted from the electronic database of Ayatollah Taleghani Hospital in Abadan city with 24 characteristics, mainly pertained to lifestyle and medical histories. After selecting the most important variables by using the Chi-square Pearson and one-way analysis of variance (P<0.05), the performance of selected data mining algorithms including RF, J-48, DS, RT and XG -Boost was evaluated for breast cancer diagnosis in Weka 3.4 software. Finally, the breast cancer diagnostic system was designed based on the best model and through C# programming language and Dot Net Framework V3.5.4.
Results: Fourteen variables including personal history of breast cancer, breast sampling, and chest X-ray, high blood pressure, increased LDL blood cholesterol, presence of mass in upper inner quadrant of the breast, hormone therapy with estrogen, hormone therapy with Estrogen-progesterone, family history of breast cancer, age, history of other cancers, waist-to-hip ratio and fruit and vegetable consumption showed a significant relationship with the output class at the P<0.05. Based on the results of the performance evaluation of selected algorithms, the RF model with sensitivity, specificity, accuracy, and F- measure equal to 0.97, 0.99, 0.98, 0.974, respectively, AUC=0.936 had higher performance than other selected algorithms and was suggested as the best model for breast cancer diagnosis.
Conclusion: It seems that using modifiable variables such as lifestyle and reproductive-hormonal characteristics as input to the RF algorithm to design the CDSS, can detect breast cancer cases with optimal accuracy. In addition, the proposed system can be effectively adapted in real clinical environments for quick and effective disease diagnosis.

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