@article{ author = {Kazemi, M and Feili, A and Sabet, A and Dashtipoor, M and Daneshmandi, H}, title = {Identifying and Ranking Factors Influencing Knowledge Sharing Using Multicriteria Decision-Making Methods: A Case Study}, abstract ={Introduction: Effective knowledge-sharing among faculty members is one of the requirements for scientific competence and improvement of research quality in universities. This study aimed to identify and rank the key factors influencing knowledge sharing in order to help managers and policy makers take corrective actions. Methods: The instrument used for data collection in this descriptive-applied study consisted of three questionnaires developed based on multicriteria decision-making techniques used in this study. The questionnaires were completed by ten faculty members at Shiraz University of Medical Sciences with at least five years of work experience.  The collected data were analyzed using Super Decision software. Results: The most effective factors influencing knowledge sharing were found to be trust, organizational culture, and communication where as organizational structure and technology were considered to be the least effective factors.  Conclusion: In general, it can be said that interpersonal and soft factors such as organizational culture, compared with hard factors like organizational structure and IT, have greater impact on knowledge sharing among faculty members of Shiraz University of Medical Sciences.}, Keywords = {Knowledge Sharing, Trust, Organizational Culture, Communication}, volume = {21}, Number = {71}, pages = {7-22}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2254-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2254-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Aghamohamadi, S and Jahangiri, K and Hajinabi, K and MasoudiAsl, I and Dehnavieh, R}, title = {Foresight for Inpatient Beds in Hospitals of Iran: Vision 2035}, abstract ={Introduction: Health system management in Iran requires changes in health care system for population that goes to aging and are faced with changes in diseases patterns. One of these needs is the fundamental changes that must be made in the near future in the distribution of inpatient beds based on the needs of society. The purpose of this study was, therefore, to foresight the distribution of hospitals’ inpatient beds over the next 20 years. Methods: This study is a applied research. At first, the age and sex structure of Iranian population was investigated and predicted through using data from census and mathematical methods. Then the rates of general groups of causes of death were calculated for the years of study and their 20-year trends were predicted using Lee-Carter's model. Next, based on the related data, the number of hospital beds were calculated by means of linear regression. To analyze the data, the demographic package of 18. 1 in R software, version 3. 3. 1, was adopted. Result: It was found that while in 2006, the population over 60 years comprised 7. 3% of the total population, until 2035, the growth of the elderly population in Iran will be on the rise; so much so that and it is estimated that in year 2035, it will reach 17 percent of the population. Endocrine, nutritional, and metabolic diseases will have the greatest increase in the rate of death in the general population from 2006 to 2035, with an increase of 1878. 52 in 1000 people. Accordingly, the number of hospital beds with the highest and the lowest fertility assumptions will be 160,687 and 157,208 beds, respectively. Conclusion: The findings indicate that over the next 20 years, the elderly population of Iran will increase and non-communicable diseases will account for a large percentage of the diseases and causes of death. Therefore, proper and accurate planning and policies are essential to meet the society needs, especially in the treatment sector for the allocation of beds.  }, Keywords = {Insight study, Hospital, Distribution, Inpatient Beds}, volume = {21}, Number = {71}, pages = {23-36}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2437-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2437-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Sheikhtaheri, A and Ghazizadeh, Z}, title = {Usability Evaluation of the Farabar Statistical Information System in Iranian Universities of Medical Sciences}, abstract ={Introduction: Statistical information systems are used to gather, document, classify and analyze the data and statistics of an organization and distribute this statistics for upper managers. Medical sciences universities in Iran use such a system, called Farabar. This study conducted to evaluate the usability of this national statistical information system in medical sciences universities in Iran. Methods: This applied, analytical study was conducted in 2015. In the study, 278 managers and staff who were the users of Farabar in 13 different medical universities of Iran were randomly invited to participate in the study. We used the ISO Isometric 9241.10 usability questionnaire, following reliability and validity testing. We analyzed data using descriptive and inferential statistics ( t-test and ANOVA) by using SPSS 20.   Results: The mean score for different dimensions of ISO Isometric 9241.10 usability were as follows: suitability for the task (2.94 out of 5), self-descriptiveness (2.74 out of 5), controllability (2.74 out of 5), conformity with user expectations (2.86 out of 5), error tolerance (2.5 out of 5), suitability for individualization (2.46 out of 5) and finally, suitability for learning (2.75 out of 5). There were statistically significant relationships between perceived usability and users’ job history, age, working years with Farabar and other statistical software, perceived importance of Farabar and the types of usage.    Conclusion: Farabar software were relatively successful in terms of usability However, dimensions such as error tolerance and suitability for individualization requires more attention.  }, Keywords = {Evaluation, Information systems, Software, Usability}, volume = {21}, Number = {71}, pages = {37-49}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2296-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2296-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Sarebandi, Z and Arta, P and Mehdipoor, S and Poorsamaeishalmani, R and Seyedin, S.H}, title = {Optimal Marketing Mix Pattern in Selected Hospitals of Iran University of Medical Sciences: Model of Booms and Bitner 2016-2017}, abstract ={Introduction: The mixed marketing is an important issue in healthcare sector and is essential to healthcare provider organizations for survival in the contemporary era to have more market shares, revenue and to increase customer service efficiency and effectiveness. The purpose of this article to provide a practical model of the factors influencing the marketing mix in the health care services in hospitals of Iran University of Medical Sciences with Bed occupancy rate below 50%. Methods: This is an applied and analytical study. Considering the field of health care services, the integrated marketing services model of "Booms and Bitner" were selected and the conceptual research model was determined. Using the review studies, the variables relevant to each dimension were collected. Data analysis was performed through Lisrel and SPSS version 22, using exploratory and confirmatory factor analysis. Results: The fit indexes of Lisrel confirmed and acknowledged the healthcare mixed marketing model with seven dimensions. The dimensions having the greatest impact included the place and price. Meanwhile, other aspects of the research in terms of impact were identified: services, promotion, physical evidences, personnel and processes. Conclusion: Healthcare centers can use marketing mix model with the seven confirmed dimensions in marketing management through concentration on place and price.  }, Keywords = {Marketing Mix, Health Services, Factor Analysis, Bed Occupancy Rate, IUMS Selected Hospitals, Model of Booms and Bitner . , ایران . , ایران . , ایران}, volume = {21}, Number = {71}, pages = {50-65}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2447-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2447-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Rajabi, J and Alizade, S and Ashoori, M}, title = {Identifying behavioral patterns in blood donation using K-means algorithm based on recency, frequency and blood value}, abstract ={Introduction: Blood donation rate in developed countries is 18 times higher than developing countries. It is estimated that if only five percent of Iran population embark on blood donation, it will be adequate to meet the needs of the community. The aim of this paper is to identify the blood donators’ loyalty behavior for proper planning to extend and enhance blood donation habits among the community.   Methods:  A  cross-sectional survey was applied through census in the present study. The data extracted from blood transfusion center of Tehran from 2005 to 2010 was used in this study. Clementine 12.0 was  used for data analysis. K-Means clustering is based on demographic data and RFM values modes which were applied  to obtain the best ratio among different fields. Results: The mean value of root mean square standard deviation for RFB-based clustering and demographic were  10.7194 and 11.1411,respectively. This finding confirmed better data clustering by RFB-based algorithm. The data were placed by RFB-based algorithm in four clusters. The fourth  cluster consisted of single males who obtained the best loyalty rank and the third cluster consisted of  married females who obtained the least loyalty rank. Conclusion: Applying data mining methods for analysis and classification of blood donors changes current attitude towards  blood donation procedure. Survey of donor behavior helps us to identify faster and more precise donor loyalty as well as having proper management of the blood transfusion centers.}, Keywords = {Clustering, Recency, Frequency, Blood Value, Donor Loyalty. }, volume = {21}, Number = {71}, pages = {66-78}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2454-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2454-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {DehghaniChampiri, Z and Saeedbakhsh, S}, title = {An Architecture for Scholarly Recommender System Based on Identified Contextual Information in Medical Sciences}, abstract ={Introduction: Today, researchers prefer to have most of their required information at their fingertips. Scholarly or research paper recommender systems are intelligent systems that aim to recommend the most appropriate scientific papers or resources based on users' needs. Past studies have shown that contextual information such as users', system' and environment' contexts influence the quality of recommendations. Therefore, the goal of this research is to identify effective user-oriented contextual information which influences the process of recommendation to scholars in medical area and then to present an architecture to design and develop an scholarly recommender system.   Methods: Semi-structured interviews were carried out with 50 medical science professors and PhD studies in order to identify contextual information. Data resulted from interviews were analyzed in three stages using open coding, followed by axial and selective coding, developed in the Grounded Theory methodology. Then, contextual information has been exploited for a multi-layer architecture in design of a scholarly recommender system.   Results: The results of our data analysis showed that scholars’ attributes such as purposes, literacy, skills, mental status, suppositions and assumptions, occupational condition, and social status are among the most influential factors which should be considered in designing a  scholarly recommender system. Finally, based on the findings, we designed a multilayer system.   Conclusion: Exploitation of contextual information in intelligent systems such as recommender systems and search engines leads to a better interaction between users and systems; therefore, the results of this study can be beneficial for designing other systems in this area.    }, Keywords = {Scholarly Recommender System, Research Paper Recommender System, Context, Context Aware, Medical Science, Architecture}, volume = {21}, Number = {71}, pages = {79-93}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2324-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2324-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Feizy, T and latifiJaliseh, S and Sadeghinezhad, B}, title = {Information literacy of Family Physicians in the Urban Area of Mazandaran Province}, abstract ={Introduction: Undoubtedly, information literacy plays an important role to obtain accurate and accessible on time information. The purpose of this study was to assess information literacy among urban family physicians in    Mazandaran province. Methods: this study is descriptive-analytic in nature. The study population included 323 of family physicians selected by multi-cluster sampling method in the cities of  mazandaran province. Data were collected via a questionnaire with  Cranach’s alpha  of 0.86. Content validity of the questionnaire was determined by researchers, health professionals and experts. data was analyzed via confirmatory factor analysis  and  lisrel software. Results: the results showed that model was fit with  RMSEA=0.078, CFI= 0.91, GFI=0.93, and AGFI=0.94. Dimensions of information literacy p-value were: information knowledge (t=7.07), information skills( t=7.96), and information attitude(t=6.36). Conclusion: The results showed that the information literacy had three  dimensions: information knowledge with three indicators of computers and networks, ethical and security issues, and other forms of information,  information skills with three indicators of  using technology of software , technology of business, and using communication electronically, and attitude with three indicators of understanding of information technology, learning technology, and use of information technology .}, Keywords = {Family Physician, Information literacy, Mazandaran University of Medical Sciences}, volume = {21}, Number = {71}, pages = {94-106}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2349-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2349-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} } @article{ author = {Mollahosseini, S and Zare, M and Tavakoli, N and Hemati, M}, title = {Service Quality Perceptions from the Perspectives of Elderly Patients and their Families: Using SERVQUAL, 2016}, abstract ={Introduction:Old-aged people are vulnerable with different health problems and refer to hospitals once or even several times in their lives. Therefore, considering the importance of aging and the need of elderly patients to hospital services, the current study aimed to explore the elderly and their families’ perceptions of provided service quality using SERVQUAL model. Methods: The population of this descriptive, cross-sectional study consisted of 248 hospitalized elderly and their families in 7-E Tir and Firouzabadi hospitals during January and February 2016. A SERVQUAL questionnaire was used to collect data which were then analyzed using multivariate analysis of variation at a significant level of less than 0. 01 in SPSS 20. Results: The discrepancies between the patients and their families’ expectations and perceived services, indicated a gap in all five dimensions of service quality. The highest and lowest negative mean scores, among the patients, were related to tangibles (-4. 09) and empathy (-1. 99) while the highest and lowest negative mean scores, among their families, were related to tangibles (-3. 56) and empathy (-2.14). Conclusion: The study attempted to measure hospitalized elderly patients’ perceptions of provided service quality. The results can help decision makers make efficient and effective decisions to consider and remove the problems through effective planning.     }, Keywords = {Hospital Service Quality, Elderly Health Services, Patient’s Family, SERVQUAL Methodd 1. دانشکده بهداشت, دانشگاه علوم پزشکی آزاد اسلامی, تهران, ایران 2. 3. مرکز تحقیقات سوانح و مصد}, volume = {21}, Number = {71}, pages = {107-116}, publisher = {Iran University of Medical Sciences}, url = {http://jha.iums.ac.ir/article-1-2494-en.html}, eprint = {http://jha.iums.ac.ir/article-1-2494-en.pdf}, journal = {Journal of Health Administration}, issn = {2008-1200}, eissn = {2008-1219}, year = {2018} }