Journal of

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  Background : All managers want to improve their organization 's efficiency . The purpose of this paper In addition to the asses the efficiency of Hospital during the time, is trying to answer to this question that, is the recruitment of new personnel able to increase hospital efficiency?

  Materials & Methods : In this sectional study, the relative efficiency of Imam Khomeini Hospital in Arak during the thirty-one months Since April 2011 to November 2013 (16 months before and 15 months after the recruitment) by input-oriented DEA method with five inputs and five outputs and with considering each month as a decision making unit, was calculated by DEAP 2.1 software. Then, the efficiency scores during the two stages, once for sixteen months, and once for a total of thirty one month separately by Mann - Kendall test via Minitab 16 software was analyzed and the most important event in the hospital during the study period, was asked from hospital authorities.

  Results: Most inputs and outputs of hospital have increased. The efficiency of the last eight months was equal to one . In addition, the efficiency of eleventh month was lower. The value of z_s for first sixteen months and for a total of thirty-one months -0.55769 and 2.05318, respectively calculated .

Conclusion: Trend analysis of the efficiency Scores showed that simultaneously with the recruitment of new personnel without reports of other influential factors, Hospital efficiency has significantly improved.

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Background: Data Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficiency of Decision Making Units (DMUs) with multiple input and output. The purpose of this paper was systematic study of applying this technique in Iranian hospitals.

Materials and Methods: In this systematic review which was conducted in September 2015 and February2016, attempted to search the research which conducted in Iranian hospitals regardless of the time of publication using searching keywords in six scientific databases and with the help of Google search engine. A total of 6,613 researches found. Then, 6,566 researches removed from the study because of the irrelevant, repetitive and Inaccessibility to the full text. Then,  attempted to statistical analysis of 47 remaining researches via Excel 2010 software.

Results: 93.6 percent of the researches were published in 2009 onwards. The most research and least research have been conducted in three and eleven provinces respectively. The diversity of output indexes have been more than diversity of input indexes. In 81 percent of researches; input oriented model was used and in 74.5 percent of researches variable returns to scale is assumed. In most studies, referred to Iran's inefficient hospitals because of existence of excess resources.

Conclusions: In last seven years, the interest of Iranian researchers has increased about DEA application in hospitals especially in Tehran, Yazd and Khoozestan provinces. Scientific and rational use of resources is a proposal to the relevant authorities.

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Background: Priority setting and resource allocation are assumed to be the most important issues of health-sector and fairness thereof requires considering various criteria. This study was performed to identify the criteria used for priority setting and resource allocation in the world health systems through comprehensive review.
 
Materials and Methods: Cochrane, PubMed and SCOPUS database were searched systematically from Jan.1,2005 to Oct.10,2016. The English articles with codified and specified qualitative and quantitative criteria in the resource allocation context in health sector were included in the study. The obtained data were synthetized thematically.
 
Results: Overall, 9162 papers were extracted. At the beginning of review of the included articles, 9089 papers were removed due to duplication and also based on the title. The abstracts of the remained papers were reviewed and 17 papers were removed. Full text of 59 remained papers were reviewed and based on matching with the inclusion criteria, 34 other papers were removed, too, and ultimately 25 papers were included in the final phase of the study. Extracted criteria were categorized into four dimentions based on economic, management, structural and contextual, out of which the most frequent ones were related to cost, health system goals, local capacity and disease status, respectively.
 

Conclusion: In this study, the most important criteria used by policy makers and decision makers of health system in the world were extracted for priority setting and resource allocation. The results indicated that in the world, priority setting and resource allocation in the health system is made mainly based on criteria such as cost-effectiveness, disease status, equity/equality and the need. 

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Background: One of the most important ways to promote the quality and attractiveness of the journal for readers is the accurate evaluation of the published articles research methodology in the journals. The purpose of this study was to investigate the research methods of the articles published in the Journal of Hospital.
 
Materials & Methods: In this descriptive study, the research methods of all articles published in the Journal of Hospital from Fall 2016 to Fall 2018 including qualitative or quantitative, field or library research , data collection methods, data analysis software, location of research, nature of the research (descriptive or analytical, etc.), topics, as well as the number of authors were investigated.
 
Results: Data of 55.29% of papers was qualitative that was turned to quantitative, 47.06% of articles had descriptive-analytical method, and 68.24% of papers had employed a field research method. In addition, 51.76% of articles had used questionnaire and the SPSS software was used in 52.08% of the articles. The location of 45.45% of researches was in Tehran province. Finally, the subject of 23.53% of papers was policy making, planning, leadership, and management in hospitals.
 
Conclusion: Most authors of the articles have followed a very similar research method during the mentioned period. So, creating diversity in the nature of the researches, using other methods of collecting information rather than questionnaires, doing more library research, and not limiting the researches to Tehran province are the most important suggestions for future researchers.
 

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Background: Iranian health system transformation plan has been implemented since 2014 with the aim of financial protection of people, equity establishment in access to health services and quality improvement of hospital services. Hospital performance evaluation is essential in order to monitor the health system transformation plan. One of the tools for evaluating hospital performance is the dynamic multi-attribute decision-making method. The purpose of this study was to use the dynamic multi-attribute decision-making method to evaluate the performance of the hospital before and after the implementation of the health system transformation plan.
Materials and Methods: In this cross-sectional study, the performance of Shariati Hospital in Tehran was evaluated for 48 consecutive months (24 months before and 24 months after the Health System Transformation plan, 2012-2016). Each month was addressed as an option in the decision-making matrix and ,with considering six important health indicators, the hospital performance was dynamically assessed  using the weighted aggregated sum product assessment and through EXCEL software 2010. 
Results: Hospital performance scores had some fluctuations over time; however, in general, it had an increasing trend over forty-eight months. The highest and lowest values were for months 42 and 13 (0.4932 and 0.9408, respectively). In addition, in the first month of the solar year, the hospital performance score declined significantly for each year.
Conclusion: Changes in hospital performance scores during the study period show improvement in hospital performance. Nevertheless, this incremental process cannot be considered as a positive outcome of the health system transformation plan. Therefore, while improving the current process, continuing the hospital performance evaluation can lead to the hospital's performance promotion.
 

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Background and purpose: Pharmaceutical pollutants in hospital wastewater pose significant environmental and public health risks. This study aimed to identify and prioritize effective strategies for removing these contaminants from the wastewater of selected hospitals in Markazi Province, Iran.
Methods: This descriptive-analytical study employed a multi-criteria decision-making (MCDM) approach. Initially, a comprehensive review of scientific literature, expert interviews, and consultation with professionals in environmental health and wastewater treatment was conducted. Relevant strategies and prioritization criteria were identified using MAXQDA 2022. Subsequently, the Analytic Hierarchy Process (AHP) method was applied using Expert Choice version 11 software to assign weights to criteria and rank the identified strategies.
Results: Five key treatment strategies were identified: (1) integrated biological, physical, and chemical treatment methods (hybrid systems), (2) advanced oxidation processes (AOPs), (3) aerobic and anaerobic biological reactors, (4) membrane filtration, and (5) activated carbon adsorption. The prioritization was based on five criteria: (1) pollutant removal efficiency (0.357), (2) environmental compatibility (0.241), (3) implementation and operational costs (0.198), (4) technology durability and sustainability (0.123), and (5) implementation complexity and feasibility (0.081). The final priority scores of the strategies were 0.312, 0.256, 0.211, 0.134, and 0.087, respectively.
Conclusion: The findings indicate that hybrid treatment systems combining biological, chemical, and physical processes offer the most effective strategy for eliminating pharmaceutical pollutants in hospital wastewater. These insights can guide healthcare policymakers and hospital administrators in selecting optimal wastewater treatment methods, contributing to environmental protection and water quality improvement.

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Background and purpose: Hospital wastewater infrastructure is critical for safeguarding public health and protecting the environment. Deficiencies in the management of these systems can precipitate severe public health and environmental crises. This study aimed to identify and prioritize investment risks associated with hospital wastewater infrastructure.
Methods: This applied case study was conducted in a general hospital in Arak, Iran, during April 2025. Initial risk identification involved a comprehensive literature review and semi-structured interviews with 14 experts, with data analysis facilitated by MAXQDA 2022 software. Subsequently, a Failure Mode and Effects Analysis (FMEA) approach, utilizing a customized checklist, was employed to score each identified risk based on its severity, probability of occurrence, and detectability. The Risk Priority Number (RPN) for each risk was then calculated using Microsoft Excel. Finally, risks were ranked in descending order according to their RPN values.
Results: A total of 23 key risks were identified and categorized into five principal areas: design, technical, environmental, operational, and managerial. The highest RPNs were attributed to "lack of pre-treatment systems," "insufficient capacity planning," and "wastewater leakage into surrounding soil". Additionally, managerial and operational risks, such as "insufficient budget for maintenance" and "shortage of skilled personnel," were recognized as significant aggravating factors for other risks.
Conclusion: The findings underscore that many critical risks within hospital wastewater infrastructure originate from fundamental weaknesses in initial design and ongoing management. The FMEA method proved to be an effective and systematic tool for identifying and prioritizing these risks, thereby facilitating improved engineering and managerial decision-making and enhancing the overall effectiveness of investments in this vital infrastructure.