جستجوی مقالات مرتبط با کلیدواژه « Analytic hierarchy process » در نشریات گروه « پزشکی »

Adopting a proper location for a hospital will result in allocating optimal resources, improving access to health care, improving the quality of hospital services, reducing the waste of time, reducing energy consumption, decreasing costs, and reducing traffic. Accordingly, this study was conducted to adopt the optimal location for hospitals in Yazd City, Iran.

This research is descriptive in terms of type and applied in terms of objectives. The used criteria for this study covered data related to military, residential, sports, industrial, green space, education, population density, communication roads, and available hospitals. All effective criteria were distinguished, and a map of each criterion was provided to locate the hospitals optimally. The weight of each criterion was determined by the analytic hierarchy process method and applied to the maps in the GIS software environment. The final land valuation map was prepared by combining the maps to construct the hospital.

The highest weight was calculated for the population density layer (0.24) and the lowest for the sports layer (0.025). The classified map to construct a hospital in Yazd City, Iran was classified into 5 categories, from very appropriate to very inappropriate. The map revealed that about 34% of the studied area is appropriate for building a hospital.

Due to the importance of proper geographical access to hospital treatment facilities, it is recommended that new hospitals in Yazd be constructed on very appropriate land plots, and the priority in building a hospital to be very appropriate land plots located in the fourth district.

The health, safety, and environment (HSE) resilience is the ability of a system to adapt, resist and cope with the HSE risks in critical situations. In this study, the HSE resilience in solid waste management (SWM) system of Tehran was quantitatively assessed using HSE resilience index (HSE-RI).

The principles and components of HSE-RI were determined and weighted based on the expert panel opinions using Delphi technique and analytic hierarchy process (AHP). The HSE-RI scores were divided into five categories as very good (80-100), good (65-79), medium (50-64), weak (35-49), and very weak (0-34).

The weights of the HSE-RI principles in the SWM system were determined as follows: 0.376 for top management commitment, 0.149 for awareness and risk perception, 0.144 for preparedness, 0.144 for performance, 0.057 for reporting and just culture, 0.0574 for learning culture, 0.055 for flexibility, and 0.017 for redundancy. The highest and lowest scores of the resilience principles in the SWM system were related to the principles of awareness and risk perception (73.6), and reporting and just culture (45.1), respectively. The HSE-RI score in the SWM system was 62.9 (medium).

The results of this study based on the Delphi method and AHP showed that the HSE resilience in the SWM system of Tehran was not at the desired level. The principles of top management commitment (with the highest weight), reporting and just culture and preparedness (with the lowest scores) were determined as the most effective points for improving the HSE resilience in the SWM system of Tehran.

Critical risks are one of the most important problems in industries, which have high costs for the industry. This study aimed to assess critical safety and health risks through job safety analysis and analytic hierarchy process in industrial printing.

The present study was conducted as a descriptive and analytical in one of the printing industries in Iran, in 2020. Critical risks were collected by visiting and observing the job safety analysis checklist. Then, critical risk prioritization was performed by an analytic hierarchy process using Expert Choice software, version 11.

A total of 23 hazards were identified. Mechanical hazards (61%) and chemical hazards (9%) had the highest and lowest frequencies, respectively. The identified safety and health hazards included musculoskeletal disorders (MSDs) in the upper and lower back, respiratory and skin exposure to chemicals, the risk of electric shock, and mechanical hazards (hand entrapment, hand amputation, and falling objects).

The highest priority of critical risk was related to MSDs of the upper and lower back. The next priority of critical risk was related to chemical agents, respiratory exposure to organic solvents, and dermal exposure to organic solvents.

Investigations in talent identification are mostly based on determining effective parameters, more specifically the determination of norms for Indonesian junior rowing athletes.

This research aimed to design a smart model in talent identification and selection for rowing athletes based on the weighting of priority criteria generated from the analytic hierarchy process (AHP) of anthropometric, biomotor, psychological, physiological, and technical variables from fuzzy logic.

The method was mixed methods research (MMR), it involves the use of both quantitative and qualitative methods in a study. Furthermore, it selected important criteria through a hierarchical analytical process of anthropometric, biomotor, psychological, physiological, and technical variables. The norms of elite rowing junior athletes aged 16-18 years were used as a comparative index. Furthermore, the smart model is designed based on fuzzy logic using MATLAB software.

The athletes were categorized into unmatched, semi-matched, matched, brilliant, and rare groups. The fuzzy testing of all talent identification and selection criteria for rowing athletes shows that Indonesian rowing male athletes must be in the "brilliant" classification or equal to 88.5% supported by anthropometric criteria, 10.6% supported by physiological criteria, and 89.4% supported by biomotor criteria.

Leg height and length, muscle power and leg strength, self-confidence and motivation, specific endurance, catch, drive, and recovery parameters were demonstrated as the main criteria and weighted by the analytic hierarchy process. This smart model analyzes these variables on the norms of elite rowing junior athletes and makes specific results from player talent. Therefore, It is a reliable and useful method for decision-making in talent identification and the selection of rowing athletes at a young age.

At present, the avoidance of drug shortages mainly relies on expert experience. This study aimed to establish an evaluation index system for the risk of drug shortages in medical institutions in China and to apply the system to guide the graded management of drugs in short supply.

A two-round Delphi process was conducted to determine the indicators in the index system. The weight value of each indicator was calculated using analytic hierarchy process (AHP) methods. The data of drugs in short supply from January 1 to December 31, 2020 in Hunan province were collected and evaluated using this index system. The evaluation scores, which ranged from 0 to 100, were calculated.

A three-level index system with four first-level indicators, 11 second-level indicators, and 36 third-level indicators was constructed by the two rounds of the Delphi process. The expert authority coefficient (Cr) of the first and second rounds of consultation were 0.88 and 0.90, respectively. The Kendall’s coefficients of concordance (Kendall’s W) for the two rounds of consultation were 0.44 and 0.50, respectively (P<.05). For the first-level indicators ‘supply stability,’ ‘causes of shortage,’ ‘medicine availability in medical institution’ and ‘pharmaceutical properties,’ the weight values were 0.3253, 0.2489, 0.2398, and 0.1860, respectively. Based on the risk evaluation score, drugs (dosage strength) at high risk of shortage included sodium thiosulfate (0.64 g), posterior pituitary lobe hormones (1 mL:6 IU), protamine sulfate (5 mL:50 mg), thrombin (500 U), urokinase (10 WU), and rotundine sulfate (2 mL:60 mg).

An indexed system for the risk assessment of drug shortages in China was established to guide the graded response to drug shortages in medical institutions and the implementation of differential management strategies to address these shortages.

Determining cardiovascular disease (CVD) research priorities is essential given the high burden of these diseases, limited financial resources, and competing priorities. This study aimed to determine the research priorities in CVD field in Iran using standard indigenous methods.

An extensive search was done in relevant international and national studies. Then, an indigenous standard multistage approach based on multicriteria decision analysis steps was adapted to local situation and implemented. This process included forming a working group of experts in priority setting methodology, identifying the context and prioritization framework, discussing the methodology with the National Network of CVD Research  NCVDR) members who ultimately determined the priority research topics, weighted topics criteria, ranked topics, and reviewed all determined  esearch priorities for final report.

Thirteen cardiovascular research priorities were determined by the NCVDR members. The first  ive priorities based on their scores include studies in hypertension, prevention and control of ischemic heart disease (IHD) and its risk  actors, burden of IHD, Registration of CVDs, and COVID?19 and CVDs.

Cardiovascular research priorities were determined using a standard indigenous approach by national experts who are the NCVDR members. These priorities can be used by researchers and health decision makers.

Resilience means the ability of a system to predict, tolerate, and adapt to various disturbances and recover quickly to its original state. This study aims to weigh and prioritize the indicators affecting the resilience in a combined cycle power plant using the combined method of FAHP-TOPSIS.

This is a descriptive-analytical and cross-sectional study conducted at the beginning of 2021 in the Kashan Combined Cycle Power Plant. In the first step, a literature review and semi-structured interviews with 25 experts were conducted to identify the indicators affecting resilience. A total of 20 affecting indicators were identified and divided into three groups: situational awareness, vulnerability, and adaptability. In the next step, we used the Fuzzy Analytical Hierarchy Process (FAHP) to determine the indicators’ weights of each group. In the end, we used the TOPSIS method to perform the final prioritization of the indicators.

The final results of prioritizing the indicators that affect resilience based on the outcomes of the TOPSIS method showed that the three indicators of structural stability (final weight=1), senior management awareness of the roles and responsibilities (final weight=0.075), and understanding and risk acceptance (final weight=0.067) play the most important roles, while logistics support index (final weight=0.029) is the least important indicator in determining the level of resilience.

By recognizing and prioritizing the indicators affecting the level of resilience, corrective and preventive measures can be defined and implemented to improve safety and increase the resilience in combined cycle power plants based on the importance of each indicator. Also, the method introduced in this paper can be used as a scientific technique to identify and prioritize resilience indicators in other process industries such as oil and gas and petrochemical industries.

Since there are various factors with different importance that determine environmental health status of hospitals, judging and prioritizing the required corrective actions using the current qualitative checklists is problematic and, in some cases, deceptive. This study explored a decision support model for hospital environmental health status to establish a quantitative method based on the analytic hierarchy process (AHP) using the Iranian National Hospital Evaluation checklist.

The research was done in two separate phases; first, score weighting of the criteria and subcriteria (questions) in the existing checklist using the AHP, and second, a field study of the environmental health status of the hospitals using a weighted checklist. In the field study, the environmental health status of the studied hospitals was sored using checklist questions, and finally, the final scores of each criterion were calculated and aggregated to determine the environmental health status of the studied hospitals.

Among the main criteria, the infection control criteria with a final weight coefficient of 0.5371, was the most important factor, and the building criteria with a final weight coefficient of 0.0341 had the lowest weight in determining the environmental health status of the hospitals. On average, the environmental health status of the studied hospitals was about 76%, which are in a moderate status.

The environmental health status of Iran’s hospitals has typically been evaluated only qualitatively and without considering their weight importance. The present study provides a flexible method for quantitative assessment of the environmental health status of hospitals.

Patient relationship management (PRM), in addition to saving costs, increases patient loyalty and creates a satisfactory environment for the patient and the service provider. This study aimed to design a model of PRM in general hospitals using the combination of the analytic hierarchy process and interpretive structural modeling (ISM).

This was an applied and cross‑sectional study conducted in 2020 at three stages. At the first stage, using a systematic review, factors affecting PRM were identified. In the second stage, these factors were prioritized based on the pair‑wise comparisons. In the third stage, the interaction levels of the factors were modeled for the general hospitals using ISM through the use of the MICMAC technique and Excel 2007 software.

The results showed that “integrated information system,” “registration of the patient’s essential information,” and “right data at the correct time” were the first to third priority in implementing PRM in the general hospitals. In the final model of ISM, three levels of effective factors were extracted, and 10, 4, and 6 factors were identified in the first, second, and third levels, respectively.

Establishing the PRM strategy in the hospital, in addition to executive and managerial requirements, depends on the existence of an electronic customer relationship management system, and the choice of new technology, as well as the integration of information systems and technology culture, should be given special attention by managers.

This study aimed to compare the performance evaluation of a selected hospital through weighting and not weighting the indices using a hybrid approach. This mixed-method study was conducted in a Specialized Hospital in Mashhad, Iran. In the group discussion sessions of the scorecard team, a list of performance indices was prepared in four perspectives using a balanced scorecard approach. The indices were selected using the Delphi method and measured in the hospital afterward. In the first method, the percentage of realization of each index was measured based on the expected value of the index in the hospital, and the overall performance score was obtained. In the second method, the weight of each perspective and index was calculated using the standard hierarchy analysis questionnaire, and the coefficient of the significance of each index and perspective was considered in hospital performance based on the expected quantity of the index. Eventually, the performance of the hospital was compared using these two methods. Based on the results obtained from the application of the weighting method, the processes and customer perspectives obtained the highest and the lowest scores, respectively. The score of the hospital’s performance in this method was obtained at 89.27%. However, in the method without weighting, the processes and financial perspectives obtained the highest and the lowest scores, respectively, and the score of the hospital’s performance was estimated at 82.63%. The score of perspectives and indices will be different when the significance of perspectives and indices are ignored, which results in an incorrect (downgraded) estimation of the organization performance.

Several reasons account for nurseschr('39') intention to leave the nursing profession. Understanding these factors is a step towards reducing such incidents which pose a threat to the nursing profession. This study aimed to identify and rank the circumstances that influence the intention to leave the nursing profession in Iran.

The present study is a cross-sectional analytical study, which employed four other methods to reach a sound conclusion in 2019.The electronic databases, including the Scientific Information Database, PubMed, Scopus, Science Direct, OVID, Cochrane Library, CINAHL,, were searched for studies published from the year 1998 to December 2018 for scientific studies conducted among factor associated intention to leave in Iran. The Exploratory Factor Analysis (EFA) method was then used to extract hidden factors and determine the hierarchical structure of the reviewchr('39')s findings. Using the combination of Analytical Hierarchy Process and Fuzzy Logic, the weight of each one of the factors that affect the intention to leave the nursing profession was then calculated. Finally, the accuracy of the results of the Consistency Ratio and Fuzzy analytic hierarchical process (FAHP), was calculated and evaluated.

The electronic search delivered 100 studies, from which we identified and extracted 26 most occurring reasons for the desire to leave the nursing profession. Based on the EFA results, we identified four criteria (personal, managerial, organizational, and side issues) with eigenvalues ​​higher than 1. The first criteria (personal issues) scored the highest (53.39 %), while side issues scored the lowest (13.40 %) as reasons accounting for the intention to leave the nursing profession.

Job stress, the lack of freedom and independence in the clinical environment, discrimination, and the probability of catching an illness have higher prominence in influencing nurseschr('39') tendency to leave work. These factors can be mitigated by altering managerial techniques within organizations.

Oil spills caused by releasing liquid petroleum can spread on the coastal strip and affect coastal ecosystems, causing severe damage to the coastline environment and crisis in local communities. This study aimed to identify and map the environmentally sensitive areas of the coastal strip of Guilan Province, Iran, to oil spills using the Environmental Sensitivity Index (ESI). The data required for the present study were collected through field studies, the GPS device, topographic maps of 1.25000 of the National Mapping Organization, maps of protected areas of the Environmental Protection Organization, satellite images, data of Guilan Province Industry, Mine and Trade Organization, and other relevant agencies. NOAA (National Oceanic and Atmospheric Administration) method and ESI were used to determine the sensitivity of the coastal strip of Guilan Province to oil spills. Moreover, to determine the weights of the criteria studied in the NOAA method, the analytic hierarchy process was used. The final results of the study of the environmental sensitivity of the coastal strip of Guilan Province to oil spills showed that 21.15%, 39.66%, and 39.19% of the coastal strip have low, medium, and high sensitivity, respectively. High sensitivity mainly was related to the eastern part of the coast, located at the banks of estuaries of current rivers. Low sensitivity was also located along the seafront on fine- to medium-grained sand beaches, where less damaged in the event of oil spill pollution.

Iran is an earthquake-prone country, and a considerable rural population lives in earthquake-prone areas. With many worn-out areas, incompetent houses, and relatively underdeveloped rural areas, it is necessary to pay special attention to risk reduction and subsequent measures in these areas.

Among the current methods, HAZUS is one of the most common methods in estimating potential losses in an earthquake. We used it to calculate the buildings’ estimated losses in the earthquake based on the instructions. Because one of the main issues in disaster management is to choose locations for emergency or temporary settlement of population affected by the distracter, this research tries to carry this out based on the derived results from the damage using fuzzy Analytic Hierarchy Process (AHP). After reviewing the previous studies and the experts’ opinions, the major and minor criteria affecting the selection of temporary settlement locations were identified.

Results suggested that using the damage rate of the studied buildings in the studied area and after choosing six priorities in the pilot village of Vaneshan, priority number 1 was chosen as the best option for temporary settlement in this village. Ultimately, the required items for the evacuees were determined by using the standards of supplying the essentials for the evacuees.

Regarding the study area, the results of the damage analysis of the area show that the rate of damage with extensive and complete levels in the villages is very high, which leads to a large number of homeless people with the urgent need to provide adequate shelter. This endower requires a lot of money, and the relevant managers should already be thinking about finding financial resources for it. This issue is not only related to the study area and applies to the whole of Iran.