Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
The Importance of Strategic Planning and Management in Health: A Systematic Review
1
9
EN
Akbar
Rasouli
0000-0001-5542-3287
Expert health service management, Student Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
akbar.rasoulii@yahoo.com
Mohammadhossein
Ketabchi khoonsari
Master student in Health care management, Health Management and Economics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
ketabchi.mohammadhosein@yahoo.com
shahrzad
ashja ardalan
Master student in Health care management, School of Public Health, Islamic Azad University of Medical Sciences of Tehran, Tehran, Iran.
shahrzadasm@gmail.com
forough
saraee
Master student in Health care management, Health Management and Economics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
foroughsaraee@yahoo.com
fatemeh zahra
ahmadi
Master student in Health care management, Health Management and Economics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
fatemeezahraahmadi@gmail.com
<strong>Introduction:</strong> Strategic planning is a process that involves reviewing the organization's needs, environmental conditions, customer, organizational capabilities and weaknesses that are designed with the goal of deciding on the organization's mission, goals, and strategies. Each organization's strategy is a set of goals. In this study, we decided to have a review on strategic planning in health domain.<br /> <strong>Method:</strong> Embase, PubMed/MEDLINE, ISI/Web of Science (WOS), Scopus, and Iranian databases, such as MagIran, SID, and Irandoc, were searched from 2000 to 2017. Also, the grey literature (via Google Scholar) was searched. Studies written in English or in Persian were searched, and keywords used included Strategic Management, Strategic Health Planning, and Health strategic management.<br /> <strong>Results</strong><strong>:</strong> Based on the inclusion criteria, the search of databases resulted in 30 articles that fully covered the studies that carried out a full strategic management and planning in health. The results of the present study indicated that RBV is used for strategic health planning and RDT has a strong influence on strategic decision-making. Strategic planning is one of the most important issues in a productive health care center. The decision-making levels in the health sector can be divided into three strategic, middle, and operational categories. During the strategic planning process in the health sector, attention is drawn to the two approaches to RDT) Resource dependency theory) and RBV (Resource based view).<br /> <strong>Conclusion:</strong> Health by investing and using resources and key talents of management, in the strategic planning process increases the organization's capacity and its ability to face changing circumstances and environments. Studies show that the success of a strategic planning in a health center depends on participation of beneficiaries, namely doctors, nurses and managers.<br />
Planning,Strategic planning,health strategic management,health and care
https://jhmi.sums.ac.ir/article_46622.html
https://jhmi.sums.ac.ir/article_46622_42a6925030a359bf4d4cc84f508faf1b.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
International Standards for Medical Tourism: A Systematic Review of Iranian Hospitals' Status
10
18
EN
Omid
Khosravizadeh
0000-0001-6893-3489
Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
omid.khosravizadeh@gmail.com
pariya
vosoughi
0000-0003-4073-9750
Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran.
pariyavosoughii@gmail.com
elnaz
ghanbari
0000-0003-4294-7174
Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran.
elnaz.ghanbari9279@gmail.com
sepideh
salarvand
0000-0002-7317-623X
Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran.
spdslrvnd@gmail.com
aisa
maleki
0000-0001-5706-0993
Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran.
aisamalekii@gmail.com
<strong>Introduction:</strong> The awareness of the current compliance of Joint commission international standards is a prerequisite for their upgrading. The purpose of this study was to provide a systematic review of the evaluation of Iranian hospitals in accordance with International Joint Commission standard. <strong>Methods:</strong> The present systematic review was conducted in 2019. Data were gathered by searching the Google Scholar, Scopus, PubMed, and Web of science databases. Search keywords were “medical tourism", "health tourism", "joint commission international", "JCI", "Hospital", "medical center" and "Iran". The search protocol was limited to 2009-2019.<strong> Results: </strong>The findings showed that the average compliance of patient-based standards was about 68.89% and the average adherence to organization-based standards was about 69.05%. Also, the most compliance with patient-based standards was related to “Anesthesia and Surgical Care”, while the least adherence to them belonged to the area of "Patient and Family Rights".<strong> Conclusion: </strong>According to the results of the study, Iran's medical tourism standards are not universally desirable; authorities are recommended to focus on continual improvement of their reliability and removal of their weaknesses. In this regard, strategies such as developing a comprehensive and mandatory national qualification program and evaluating its periodic performance in this field are suggested<br /> <strong> </strong>
Medical tourism,Joint commission international,hospital,Iran
https://jhmi.sums.ac.ir/article_46628.html
https://jhmi.sums.ac.ir/article_46628_e1f4b840ea3bab01770e4c2f14ad63eb.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
The Role of Employee Perceptions of Job Characteristics, Work Environment, Person-Organizations Fit Elements and in Creating Tendency toward Turnover
19
25
EN
Samaneh
Raeesi Nafchi
0000-0003-3412-037X
Department of Management, Lamerd Higher Education Center, Lamerd, Fars, Iran
samaneh.raeesi@lamerdhec.ac.ir
Mohammad Reza
Fathi
0000-0002-7973-9814
Assistant Professor, Department of Management and Accounting, College of Farabi, University of Tehran, Qom, Iran
reza.fathi@ut.ac.ir
Mohammadreza
Boroomand
M.Sc. Candidate of MBA, Faculty of Economics and Administrative Science, Akdeniz University, Antalya, Turkey
mboroomand70@gmail.com
<strong><em>Background</em></strong><strong>-</strong> Recent studies on business strategy show that the competitive advantage for enterprises can be achieved through a focus on human resources as the most important strategic resource to the organization. In this regard, many of the modern organizations spend much capital on their employees in the form of recruitment, training, development and maintenance. Therefore, it is important to retain the staff and reduce turnover rates. Due to the serious need to modify and reduce the rate of turnover in different businesses, many researchers tend to examine why and how to reduce the turnover.<br /> <strong><em>Objectives-</em></strong> The aim of this study was to investigate the role of employee perceptions of job characteristics and work environment and person-organizations fit elements in creating tendency toward turnover among the staff in Shiraz University of Medical Sciences.<br /> <strong><em>Methods</em></strong><strong>-</strong> This is a cross-sectional quantitative study. To test some proposed hypotheses, a random sample of the personnel working at Shiraz University of Medical Sciences (n=105) completed a standard survey questionnaire consisting of questions about their turnover intentions, job characteristics, job environmental characteristics, person-organization fit. For testing the hypotheses of the study, the data were analyzed through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), using AMOS software.<br /> <strong><em>Results-</em></strong> The data revealed high reliability and validity (based on Cronbach’s alpha, composite reliability, convergent and discriminant validities), so they were suitable for further analyses. SEM revealed that all job characteristic variables, except for the importance of job variable, significantly affected the turnover intention.<br /> <strong><em>Conclusions</em></strong><strong>-</strong> This article contributes to the literature since to the best of our knowledge it is the first to investigate the role of employee perceptions of job characteristics, work environment, person fit elements and organizations in creating tendency toward turnover.<br /> <br /> <strong><em> </em></strong>
Employee Perception,Job Characteristics,Work Environment,Tend to Turnover. Paper type Research paper
https://jhmi.sums.ac.ir/article_46624.html
https://jhmi.sums.ac.ir/article_46624_0e49a8cd90f0a072cef658d346cfc5fb.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
Knowledge Management Status in a Non-governmental Public Hospital: The Current Status and Improvement Solutions
26
32
EN
Reza
Rabiei
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
virya67@gmail.com
Yousef
Mohammadi Moghadam
Department of Strategic Management, Amin University, Tehran, Iran
you_mohammadi@yahoo.com
Nasim
Aslani
Department of Health Information Management, School of Health Management Information Sciences, Iran University of Medical Sciences, Tehran, Iran
aslaninasim@yahoo.com
ali
garavand
0000-0003-2238-0510
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
virya67@yahoo.com
Anoshirvan
Kazemnejad
Department of Biostatistics, School of Medical Sciences, Tarbiat Modares University, Tehran Iran
garavand@sbmu.ac.ir
shahabeddin
abhari
Amol Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
shahabbeststar@gmail.com
<strong>Background</strong>: Knowledge management (KM) has a pivotal role in optimizing performance at organizations. In recent decades, hospitals used KM to achieve optimized performance. This study aimed to determine the knowledge management status in a non-governmental general private hospital in Tehran in 2019.<br /> <strong>Methods</strong>: This cross-sectional study was done in 2019. We selected 171 clinical and administrative staff at the hospital by using random sampling. Data wre collected through a valid and reliable questionnaire. Data analysis was done by SPSS v 22 through descriptive and analytical statistics.<br /> <br /> <strong>Results</strong>: The results of the study showed that KM dimensions had an inappropriate status (2.99 out of 5). Among the KM dimensions, Technology had a worse status than others (2.72 out of 5). Moreover, there was a significant relationship between People and Technology (p <0.0001, r=0.59). Also, there was a significant relationship among all of the KM Process components (p <0.01).<br /> <br /> <strong>Conclusion</strong>: Due to the inappropriate situation of technology in the hospital, the managers should help to provide hardware and software requirements and make it a leading hospital for technology use. Due to the positive relationship between People and Technology, equipping the hospital with new technologies led to an increase in the person's abilities and improvement of the health care services delivered to the patients.<br /> <strong> </strong>
knowledge management,hospital,processes,people,Technology
https://jhmi.sums.ac.ir/article_46625.html
https://jhmi.sums.ac.ir/article_46625_915fad46282cb9ef2393c7d116cbfb14.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
A Comparison of the Effectiveness of Dialectical Behavior Therapy (DBT) and Mindfulness Training in Improving Sleep Quality and Reducing Distress Tolerance in Drug-addicted Treatment Seekers
33
41
EN
Mojtaba
Moghadam
0000-0002-3040-3914
Department of Psychology, Science and Research Branch, Islamic Azad University, Ahvaz, Iran
mo.mogadam58@yahoo.com
Behnam
Makvandi
0000-0002-1866-5540
Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
makvandi203@gmail.com
Saeed
Bakhtiyar Pour
0000-0001-7398-941X
Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
bakhtiyarpours@gmail.com
Parvin
Ehteshamzadeh
Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
p_ehteshamp85@yahoo.com
Farah
Naderi
Department of Psychology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
naderifa2@gmail.com
<strong>Introduction:</strong> The present study aimed to compare the effectiveness of dialectical behavior therapy and mindfulness training in improving the sleep quality and reducing distress tolerance in drug-addicted treatment seekers.<br /> <strong>Methods:</strong> The research method was quasi-experimental with pretest-posttest design and control group. Using a convenience sampling method, 120 men who were admitted in the mid-term residential addiction treatment center in Baghmalek city were first selected, and then 80 individuals were randomly assigned to three experimental and one control groups (n=20 per group). Experimental groups received twelve 45-minute sessions of mindfulness training, dialectical behavior therapy, and a combination of mindfulness and dialectical behavior therapy. The control group did not receive any intervention training program. All participants responded to the Pittsburgh Sleep Quality Index (PSQI) and Distress Tolerance Scale (DTS) at the beginning of the study, at the end of intervention and one month after the treatment (one-month follow-up). The multivariate analysis of covariance and one-way analysis of variance were utilized to analyze the data. SPSS software was used for data analysis. A significance level of 0.05 was considered statistically significant.<br /> <strong>Results:</strong> Dialectical behavior therapy and mindfulness training were effective in reducing distress tolerance (F= 124.33, p= 0.0001) and improving sleep quality (F= 37.03, p= 0.001). The combination of dialectical behavior therapy and mindfulness training had no significant effect on distress tolerance (p= 0.071) and sleep quality (p= 0.090).<br /> <strong>Conclusion:</strong> Both methods had similar effects on the participants. The follow-up results indicated lasting effects of dialectical behavior therapy and mindfulness training on sleep quality and distress tolerance.<br /> <strong> </strong>
Mindfulness,Dialectical Behavior Therapy,Sleep quality,Distress Tolerance,Drug-addicted
https://jhmi.sums.ac.ir/article_46626.html
https://jhmi.sums.ac.ir/article_46626_1386c4186f4ff84340dcc631a9d99255.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
A New method for Improvement of the Accuracy of Character Recognition in P300 Speller System: Optimization of Channel Selection by Using Recursive Channel Elimination Algorithm Based on Deep Learning
42
51
EN
Seyed Vahab
Shojaedini
0000-0001-6724-2897
Department of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
shojaeddini_va@yahoo.com
Maryam
Adeli
Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
maadeli72@yahoo.com
<strong><em>Background and purpose:</em></strong>P300 speller is a kind of Brain-Computer Interface (BCI) system in which the user may type words by using the responses obtained from human focus on different characters. The high sensitivity of brain signals against noise in parallel with the similarity of responses obtained from the user focus on different characters makes it difficult to classify the characters based on their respective P300 wave. On the other hand, all areas of the brain does not carry useful P300 information.<br /> <strong><em>Proposed Methods:</em></strong> In this study, a new method is proposed to improve the performance of speller system which is based on selecting optimal P300 channels. In the proposed method, recursive elimination algorithm is presented for channel optimization, which utilizes deep learning concept (e.g. Convolutional Neural Network) as its cost function. The proposed method is examined on a data set from EEG signals recorded in a P300 speller system, including 64 different channels of responses to 29 characters. Then, its performance is compared with some existing methods.<br /> <strong><em>Results:</em></strong> The obtained results showed the ability of the proposed method in recognizing the characters in such way that it could accurately (i.e. 97.34%) detect 29 characters by using only 24 out of all 64 electrodes.<br /> <strong><em>Conclusion:</em></strong> Applying the proposed method in speller systems led to considerable improvement in classification of characters compared to its alternatives. Several experiments proved that utilizing the proposed scheme may increases the accuracy almost 12.9 percent compared to non-optimized case in parallel with reduction of the number of involved channels by approximately 1/3. Based on these results, the proposed method may be considered as an effective choice for application in P300 speller systems, thanks to reduction of the complexity of the system which is caused by the reduced number of channels and, on the other hand, due to its potential in increasing the accuracy of character recognition. <br /> <strong> </strong>
P300 speller,Brain-Computer Interface,Channel Selection,optimization,Deep Learning,Recursive Channel Elimination,Convolutional Neural Network
https://jhmi.sums.ac.ir/article_46627.html
https://jhmi.sums.ac.ir/article_46627_4de56f0274c3699cb08def79a9ac0c89.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
Determining and Ranking of Indicators for Efficiency Evaluation of Hospitals
52
58
EN
Tahereh
Shafaghat
/0000-0001-8681-0423
Student Research Committee, School of Management & Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
sara.shafaghat@gmail.com
Mohammad Kazem
Rahimi Zarchi
Health Policy and Management Research Center, Department Of Healthcare Management, School Of Public Health, Shahid Sadoughi University Of Medical Sciences, Yazd, Iran
rahimi_1399@yahoo.com
Nahid
Hatam
0000-0001-7738-1970
Health Human Resources Research Center, School of Management & Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
hatamn@sums.ac.ir
zahra
kavosi
0000-0001-8662-7987
Health Human Resources Research Center, School of Management & Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
zhr.kavosi@gmail.com
<strong>Background/Objectives: S</strong>electing the best set of input and output indicators and allocation of correct weights to them is a sensitive step in any efficiency evaluation study. Therefore, the present study aims to determine and rank the efficiency indicators of hospitals.<br /> <strong>Method: </strong>This mixed-method study was carried out in three steps: comprehensive literature review, application of the Delphi method to determine the best indicators for efficiency evaluation of the hospitals, and utilization of a fuzzy analytic hierarchical process (FAHP) for weighting of final indicators and ranking them.<br /> <strong>Results: </strong>8 input and 9 output indicators were selected for efficiency evaluation of the hospitals which were weighted by FAHP. Among the input indicators, the number of physicians and active beds and among the output indicators, length of stay and number of surgeries were identified to be the most important indicators.<br /> <strong>Conclusion: </strong>According to the proposed indicators and their accurate weights, efficiency evaluation of hospitals can be done more accurately, reliably, and comprehensively.<br /> <strong> </strong>
Efficiency,Indicator,Delphi,Fuzzy Analytic Hierarchical Process,hospital
https://jhmi.sums.ac.ir/article_46623.html
https://jhmi.sums.ac.ir/article_46623_9f1e93b30f1e6e1cdf3b6cdbfd39d234.pdf
Shiraz University of Medical Sciences
Health Management & Information Science
2783-302X
7
1
2020
01
01
Efficient Resource Allocation to Social Security Organization Hospitals in Iran by Using Centralized Data Envelopment Analysis
59
67
EN
Mohammad
Bastani
0000-0001-5729-4271
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
mbastani89@gmail.com
Saeedeh
Ketabi
0000-0002-6778-5645
Department of Management, University of Isfahan, Isfahan, Iran
sketabi@yahoo.com
Reza
Maddahi
0000-0003-2084-3024
Department of Mathematics, Najafabad Branch, Islamic Azad University, Najafabad, Iran
r.maddahi@pco.iaun.ac.ir
Roya
M.Ahari
0000-0002-8952-8682
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
roya.ahari@gmail.com
<strong>Introduction:</strong> Hospitals are regarded as the largest and most expensive operational units of the health system. Also, bed is one of the most valuable hospital resources. Due to the limited resources of the health system, paying attention to efficient resource allocation is necessary. This study aimed to allocate common beds to hospitals to optimize their overall efficiency.<br /> <strong>Methods:</strong> This is a cross-sectional and applied study. 70 Iranian hospitals affiliated to social security organizations were examined. The required data were collected from the statistical yearbook of this organization (2016). A centralized data envelopment analysis model with an input-orientation approach was used to assess the performance and bed reallocation to hospitals. The input data consist of the number of active beds, and the output data consist of bed occupancy rate, average patient stay, and survival of patients in thousand. Hospitals were clustered by k‐means clustering method for analysis. The data were analyzed by GAMS and SPSS softwares.<br /> <strong>Results:</strong> Hospitals were clustered into 4 groups of homogenous units. Based on this clustering, the number of hospitals in clusters 1 to 4 was 23, 2, 13, 32, and the overall efficiencies of them were 0.703, 1, 0.827, and 0.732, respectively. Before bed reallocation, 13(18.6%) hospitals were efficient. After bed reallocation by Centralized data envelopment analysis, 31(44.3%) hospitals became efficient.<br /> <strong>Conclusion:</strong> It seems that the active bed factor can be one of the inputs influencing the overall efficiency of hospitals. However, in this regard, inclusive attention to other resources such as physicians and nurses will be necessary to achieve desirable hospital efficiency.<br /> <strong> </strong>
Centralized Data Envelopment Analysis (CDEA),Efficiency,hospital,k‐means method
https://jhmi.sums.ac.ir/article_46629.html
https://jhmi.sums.ac.ir/article_46629_ca0b402065fc475329de2041435c6391.pdf