جستجوی مقالات مرتبط با کلیدواژه « تصمیم گیری چندمعیاره » در نشریات گروه « پزشکی »

Safety training programs play an important role in the success of organizations and reducing occupational injuries. The effectiveness of such programs not only provides employees with new opportunities to improve their safety skills, but also can be leading to greater productivity and improvement of safety culture. Therefore, this study was conducted to prioritize the factors affecting the effectiveness of safety training for employees of Fardis Fire Protection Organization using multi-criteria decision-making model.

 In the current study, the criteria (including the quality and quantity of education and development policies and measures) and sub-criteria were identified from the similar studies and their screened using the Delphi technique. Then the criteria and sub-criteria of each criterion were subjected to pair wise comparisons and weighting. The internal relationships between the criteria were determined using DEMATEL technique; also, the final prioritization and weighting of the results were done using ANP and DEMATEL via the Super Decisions software. In so doing, 10 experts of Fardis Fire Protection Organization were selected in a non-probabilistic way to respond.

Based on the results obtained, "quality of education" criterion with a final weight of 0.515 had the first priority among the other criteria. Also, the "development policies and measures" criterion had the most effectiveness. Besides, "quantity of education" criterion had the highest level of influence and interaction. Meanwhile, "continuous presence of selected learners and teachers in the courses" sub-criterion with a final weight of 0.104 had the first priority among the others.

In conclusion, it can be argued that don't continuously and adequately paid attention to the employee's training could be leading to reduced effectiveness of safety training. Therefore, in order to maintain the effectiveness of the training programs, it is recommended to design the safety training courses in line with the organization policies.

One of the main challenges of the health system is improving the quality of healthcare services by adjusting the costs. The right choice of tools will bring economic savings besides excellent service quality. Since medical supplies are among the fundamental and costly elements in providing services, the expertise of purchasing has become an important and complex issue. This study aimed to prioritize criteria for purchasing medical supplies.

This research is an applied study conducted with a descriptive survey method. In this study, the criteria collected from related studies and completed with the opinion of experts were prioritized and weighted for four categories of medical supplies by the linear best-worst multi-criteria decision-making method using Lingo and Excel software.

By weighting sixteen sub-criteria of purchasing medical supplies in the form of five categories, the importance of each criterion was determined. According to the results, the two sub-criteria of "quality" and "price" were recognized as the most important and "seller's record" as the least important indicator in the purchase of medical supplies.

Using the linear best-worst multi-criteria decision-making method with definite consistency of results and high reliability led to the prioritization and accurate weighting of criteria for purchasing supplies. Paying attention to the indicators in the purchase of medical supplies, in addition to guaranteeing the quality and continuity of services, will lead to a significant reduction in supply costs.

COVID-19, which appeared in December 2019, has impressed the whole world. The corona virus had far-reaching effects on all health care systems and has had a direct impact on almost all areas of human life in all countries of the world, which has led countries to take various public and social health measures. Making decisions during the coronavirus pandemic has numerous challenges. In this study, a multi-criteria decision-making method called DEMATEL was used to identify and prioritize effective interventions in the control of the COVID-19 pandemic.

 Effective interventions to control COVID-19 were identified using literature review, and these factors were then ranked employing DEMATEL. Furthermore, three experts specialized in DEMATEL methodology were requested to rank 21 influential factors identified based on the relative importance.

The results of this study showed that prompt and timely public health measures (20/238), home quarantine for patients and carriers (20/130), appropriate patient tracking with the implementation of Shahid Soleimani plan (19/383), the availability of health services and social services during the quarantine (19/239), and educational interventions regarding public acceptance of the vaccine (19/161) are the most important effective interventions in controlling the COVID-19 pandemic.

The results of the study showed that 21 interventions were effective in controlling the COVID-19 pandemic .According to the identification and prioritization of effective interventions obtained from this study, using DEMATEL method, it is possible to control coronavirus infection in the community with high accuracy.

Blockchain technology has emerged as the fourth industrial revolution in recent years, which can facilitate the management and exchange of patient records by developing a new infrastructure. A review of the literature indicates the lack of studies and the need for further study of the factors affecting the adoption of this technology in the healthcare industry. Therefore, the aim of the present study is to prioritize the factors related to the adoption of blockchain technology in the Electronic Health Record (EHR) systems.

In this descriptive study, 15 factors related to blockchain adoption in EHR systems were identified by reviewing the scientific literature. Then, these factors were validated by 17 experts who were selected by targeted sampling method and divided into five categories: technological, legal, financial, environmental and organizational. Finally, the weight of each criterion was determined by the fuzzy best-worst method and the consistency of experts’ opinions was evaluated.

According to the judgments of experts, the legal criterion with 32 percent was identified as the most important factor in the adoption of blockchain technology in EHR systems. In addition, security and privacy (16.66 percent), compliance with legal requirements (13.10 percent), compliance with changes in laws (12.22 percent), incentives and rewards (7.01 percent) and standardization (6.87 percent) were identified as five most important sub-criteria in the adoption of the technology, respectively.

With the help of the factors identified in this study and the weights determined for each of them, a method can be developed to assess the level of readiness of healthcare providers in adopting blockchain technology in EHR systems.

With the prevalence of COVID-19 in the world and the sharp increase in deaths due to it, hospitals are in dire need of changing their situation and raising their preparedness in the face of the crisis. Therefore, the aim of the present study is to prioritize the factors related to the readiness of hospitals against COVID-19.

In this descriptive-survey study, first, by reviewing the literature, factors related to hospital readiness were extracted. Then, in order to validate these factors and reach the consensus of the expert group (40 physicians and nurses involved in the front line of the corona), the Delphi method was used. Finally, the identified indicators were ranked and prioritized using the SWARA (Stepwise Weight Assessment Ratio Analysis) technique.

The literature review and Delphi method led to the identification of 18 indicators related to hospital readiness, the most important of which were the number of staff, medical equipment, education and work experience, emergency network and manpower readiness, respectively.

Considering the severe vulnerability of hospitals to possible corona peaks, based on the results of this study, the condition of hospitals can be evaluated from five perspectives: hospital building, medical equipment, communication equipment, transportation and personnel, and necessary measures should be taken to eliminate their shortcomings.

Managers and policymakers are looking for ways to help them make the best decisions and buying the best medical equipment like an electroshock. Given that considering only one criterion for evaluating decision options cannot be realistic, the application of multi-criteria decision-making methods, which employ several criteria (often conflicting) to evaluate decision options, is on the rise.

In this study, SAW, VIKOR, and TOPSIS methods were used to decide on the purchase of an electroshock device. Using literature review and the Delphi method, a series of effective and important criteria were identified for making decisions regarding purchasing an electroshock device and entered in the decision matrix. The other input was the decision matrix of 4 brands of EKG devices, which were selected according to the IMED site and in consultation with the hospital medical equipment manager. The primary decision matrix was developed using expert opinions and was used as the input of TOPSIS, SAW, and VIKOR methods in Excel software.

The results obtained from all three decision models of VIKOR, TOSIS, and SAW were similar and confirmed each other and showed that the best brand to buy an electroshock device is brand B. While the most inappropriate option was brand A.

The use of multi-criteria decision-making approaches in today’s competitive and costly world of management is inevitable and effective. Besides, the use of several decision-making methods with different criteria, as well as the similarity of the results, increase the validity of the results.

Health centers around the world are facing significant pressures to increase productivity. Therefore, in order to improve the quality of services and to create competitive advantages in these centers, we need to implement lean principles. The purpose of this study was to identify and prioritize the key factors affecting the implementation of lean thinking in the field of health services.

This research is a kind of applied-descriptive study that was conducted in 2019. The data collection procedure included a questionnaire, articles, as well as interviewing experts. The study population included 15 managers, specialists, and experts in the field of health in five medical centers in Isfahan. After reviewing the literature, 16 factors influencing the implementation of lean thinking in the field of health services were identified and the most important ones were screened using the fuzzy Delphi method. Then, using the DEMATEL technique, the internal relationships between these factors were investigated and the most important ones were identified and prioritized using the Analytic Network Process.

The results indicated that "active leadership", "infrastructure of health centers", "staff resilience", "clear goals", "investing money and time", " staff participation", "step-by-step approach", "training", "monitoring and executing audits" and "paying attention to the concept of team" are respectively the most important factors for the successful implementation of lean thinking in health services.

In an effort to achieve success in implementing a pure system, health care organizations must strengthen leadership, provide the necessary infrastructure, and ensure adequate resource allocation. Management already needs to have clear goals in advancing projects. In addition, a step-by-step approach as an important way to improve project implementation can help to accurately understand the process of implementing pure principles.

Awareness of patient satisfaction from service quality is vital to advance performance improvement strategies. The main goals to evaluate the quality of services in the health and treatment system are service performance, service identification, service performance improvement evaluation and finally providing favorable service to customers.

In this research, seven key aspects were identified to assess the quality of health care system. Then, they weighted by the best-worst fuzzy developed method. In the following by using a researcher-made questionnaire, the openions of referrals to selected departments of the treatment center have been reviewed as a statistical sample of service quality. Finally, the complex of treatment centers, hospital departments, and quality dimensions were analyzed and ranked by Fuzzy Vikor Method, Friedman statistical tests and Analysis of variance.

Development of comprehensive satisfaction assessment model could include desirable range of criteria affecting the satisfaction of the referrers to health centers. In addition, using developed multi-criteria fuzzy hybrid decision making has been able to consider the uncertainty of the assessment process for the qualitative criteria considered by the evaluators. Key findings of the research suggest that the final weights in order of priority are: pivotal patient (0.198), time (0.188), effectiveness (0.178), responsiveness (0.123), warranty (0.112), financial (0.108), and health communication (0.9).

Health centers by focusing on priority-based performance improvement programs can offer a better level of service quality and can achieve higher customer satisfaction. Therefore, they will be able to achieve a sustainable competitive advantage.

Water quality is one of the issues that is of great importance to economic and social development due to the high costs of providing healthy drinking water and its risk to human health and the environment. For instance, although only a short time has passed since the construction of the Shirin-darreh dam, the problems arising from its exploitation have challenged the environmental sector and the health of the water.

Water quality is affected by complex processes and various variables. Accordingly, NSFWQI input variables at monthly intervals collected at the dam reservoir during December 2011 - November 2012 was used to evaluate the water quality of the reservoir based on the grey relational analysis process. The results were compared with the results of the NSFWQI method. Also, the Shannon Entropy method was used, considering the importance of weight of variables in different methods.

The results showed that the water quality in the grey analysis method from November 2011 to May 2012 and in the NSFWQI method from October 2011 to April 2012 was moderate and in the remaining months was bad. In the grey analysis method, the highest reservoir value was related to Station 3 and month of February 2012 with a value of 64.2 and the worst water quality was related to Station 4 and month of August 2012 with a value of 39.2. Also, In NSFWQI method, the highest reservoir value was related to station 3 and month of February 2012 with a value of 68.7, and the worst water quality was related to Station 1 and month of August 2012 with a value of 39.1.

Although there was no significant difference between the two methods, due to the greater adaptability of the results of the gray analysis method with the weather events and upstream conditions of the dam, this method is recommended. Due to the relative inadequacy of Shirin-darreh reservoir water in some months, it is essential that the source of pollutants from upstream areas is identified. After identification of the hotspots and preparation of the critical areas map, the appropriate control measures could be implemented

Decision making in health education and health promotion is often faced with problems that are affected by different factors simultaneously. In this case, researchers have to deal with multi-criteria decision-making problems. Considering the fact that many factors have an effect on the decisions that are to be made in health education and health promotion, using a method that can deal with both qualitative and quantitative criteria and data with a degree of uncertainty is highly beneficial. The evidential reasoning approach is a multi-criteria decision-making method that can be used to select the most preferable option, based on comments from different experts. The benefits of this method are the ability to receive and use data in different formats with or without uncertainty. Thereby resulting in more reliable and sophisticated answer than many other multi-criteria decision-making methods.

Implementing the health care transformation plan requires health centers to pay more attention to patient rights and satisfaction. However, organizations, because of limited resources, have to identify the most important factors affecting customer satisfaction and improve them. The current study aimed to propose an approach to identify and prioritize the affecting factors on customer satisfaction of health centers services.

The current study uses a hybrid approach including Delphi, DEMATEL and ANP methods. Data are gathered and analyzed using questionnaires and mentioned methods.

The most important factors from the customer's perspective were professional competence, cost of treatment and employees behavior and from the expert's perspective, the most important factors were physician communication, professional competence and cost of treatment.

There some similarities and differences between experts and customer`s view; therefore, it is very important for the managers to consider both resources while making decisions. Moreover, the findings show that the interpersonal relations factors are more important than hardware factors in health care.

In Iran، the rapid growth of urbanization is in a way that it fits into the appropriate location for urban spaces are not switching. The main consequence of this is failure of service delivery and service system to citizens. One of the most important public services that hospitals provide most of the citizens'' health. The purpose of this study، “Optimal locating of hospitals in region 7 in Tehran city”. This research is descriptive - analytical study has been done. For collecting information and data is used field studies and According to information obtained، To review the study area in terms of access to communication road، green space، away from industrial centers، military، and the fault، as well as for weighting the criteria، is used the AHP model. Then، using a decision model of TOPSIS in GIS software، valuation of criteria has been studied and appropriate maps is prepared، finally map that represents the best location for the construction of hospitals in this area is extracted. with combination and overlaying of data layers، the final map was obtained and determined that the northeastern section (Cross Resalat Street and cabli)، central (martyr Motahari streets and Miremad) and southeast (Bakhshi fard and part of Damavand street) in district 7 are have priority and more points to construct hospitals. System of Multi Criteria Decision Making (MCDM) with GIS can be used as effective tool in site selection of hospitals. Being located of hospitals، near to green spaces and comunication road and its distance from the industrial and military areas as well as the fault، capability of this model in this study is prove.