Jalal Ghaffarzadeh, A. Maher, K. Alimohammadzadeh, S. M. Hosseini, M. Bahadori
Introduction : The unit dose distribution system ensures the delivery of drugs from the hospital pharmacy to the ward for a specific patient. Facilitating the improvement process of patients and drug safety requires such research. However, two human factors affecting this process, including pharmacists and nurses, and the impact that the drug distribution system in the hospital has on their condition, have been studied as the purpose of this research. Methods : This study was done by descriptive and analytical-comparative method. Data were collected from the staff of Urmia Women's Hospital in 2021, including 76 hospital staff, 11 pharmacists, and 32 nurses as a sample from three groups using three standard questionnaires. Data were analyzed by two dependent samples T-tests in SPSS-24 software. Results : Attention to pharmacists in the implementation of the unit-dose system by stimulating their interest in pharmaceutical sciences, being in the center of attention of colleagues, and increasing their desire to work in the hospital changed the level of job identity and, thus, it explained their appropriate professional position. Time saving, lack of differences in the counting of drugs, and the peace of mind of nurses after the implementation of the unit-dose plan increased the role of nurses in the main task of patient care by obtaining job satisfaction (3.29), which increased to above the average level ( P<0.001). Conclusion : Success in the implementation of this project in the selected hospital is expected to improve the professional position of pharmacists in the hospital and increase the job satisfaction of nurses.
{"title":"The role of \"dose-unit\" drug distribution system in the professionalism of pharmacists and job satisfaction of nurses: A case study","authors":"Jalal Ghaffarzadeh, A. Maher, K. Alimohammadzadeh, S. M. Hosseini, M. Bahadori","doi":"10.52547/jha.25.1.92","DOIUrl":"https://doi.org/10.52547/jha.25.1.92","url":null,"abstract":"Introduction : The unit dose distribution system ensures the delivery of drugs from the hospital pharmacy to the ward for a specific patient. Facilitating the improvement process of patients and drug safety requires such research. However, two human factors affecting this process, including pharmacists and nurses, and the impact that the drug distribution system in the hospital has on their condition, have been studied as the purpose of this research. Methods : This study was done by descriptive and analytical-comparative method. Data were collected from the staff of Urmia Women's Hospital in 2021, including 76 hospital staff, 11 pharmacists, and 32 nurses as a sample from three groups using three standard questionnaires. Data were analyzed by two dependent samples T-tests in SPSS-24 software. Results : Attention to pharmacists in the implementation of the unit-dose system by stimulating their interest in pharmaceutical sciences, being in the center of attention of colleagues, and increasing their desire to work in the hospital changed the level of job identity and, thus, it explained their appropriate professional position. Time saving, lack of differences in the counting of drugs, and the peace of mind of nurses after the implementation of the unit-dose plan increased the role of nurses in the main task of patient care by obtaining job satisfaction (3.29), which increased to above the average level ( P<0.001). Conclusion : Success in the implementation of this project in the selected hospital is expected to improve the professional position of pharmacists in the hospital and increase the job satisfaction of nurses.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45518600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction : Sustainable innovation is recognized as one of the influencing factors in the performance of the health sector because the dynamic and complex nature of the health care industry requires innovative methods and solutions to achieve sustainability. The aim of this study is to determine factors influenced by and influencing sustainable innovation in public hospitals in Tehran. Methods : The present applied research was conducted in two stages according to mixed methods research (qualitative and quantitative). In the first stage, in order to extract the factors influencing sustainable innovation in public hospitals, 11 people were selected from among the experts of public hospitals in Tehran by the snowball sampling method, and in-depth interviews were conducted with them. In the second stage, through a questionnaire and the fuzzy dimatel method using Excel software, the internal relationship between these factors and the influenced and influencing factors was determined. Results : 72 codes were extracted from the interviews and categorized into 17 factors. Out of 17 factors, 8 factors were influencing ones and 9 factors were influenced ones. According to the results of the research, the manager's familiarity with current knowledge was the most influencing factor and the observance of stability was the most influenced factor in all aspects of the hospital. Conclusion :Considering the benefits of sustainable innovation, it is recommended that hospital officials should provide a suitable platform for the development of sustainable innovation in hospitals with practical and up-to-date training and human resource development and the use of systems that create transparency in hospitals. Received:
{"title":"Analysis of influential and influential factors on sustainable innovation in public hospitals","authors":"Seyed Reza Azimi, Salim Karimi Taklo","doi":"10.52547/jha.25.1.12","DOIUrl":"https://doi.org/10.52547/jha.25.1.12","url":null,"abstract":"Introduction : Sustainable innovation is recognized as one of the influencing factors in the performance of the health sector because the dynamic and complex nature of the health care industry requires innovative methods and solutions to achieve sustainability. The aim of this study is to determine factors influenced by and influencing sustainable innovation in public hospitals in Tehran. Methods : The present applied research was conducted in two stages according to mixed methods research (qualitative and quantitative). In the first stage, in order to extract the factors influencing sustainable innovation in public hospitals, 11 people were selected from among the experts of public hospitals in Tehran by the snowball sampling method, and in-depth interviews were conducted with them. In the second stage, through a questionnaire and the fuzzy dimatel method using Excel software, the internal relationship between these factors and the influenced and influencing factors was determined. Results : 72 codes were extracted from the interviews and categorized into 17 factors. Out of 17 factors, 8 factors were influencing ones and 9 factors were influenced ones. According to the results of the research, the manager's familiarity with current knowledge was the most influencing factor and the observance of stability was the most influenced factor in all aspects of the hospital. Conclusion :Considering the benefits of sustainable innovation, it is recommended that hospital officials should provide a suitable platform for the development of sustainable innovation in hospitals with practical and up-to-date training and human resource development and the use of systems that create transparency in hospitals. Received:","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41342409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction : Due to the development of new technologies, health information sources have become more diverse. Despite these, there is a limited knowledge about the main sources of cancer information, their usefulness and credibility, and the determinants of source credibility. This study aims to identify and evaluate the main information sources of colorectal cancer (CRC), their usefulness, and credibility of the sources. Methods : This was an applied cross-sectional research performed descriptively in Tehran, 2019. A sample of 386 outpatients who visited gastroenterologists were selcted using non-probability homogeneous purposive sampling. Each respondent filled a self-administered questionnaire designed based on study objectives. Data analysis was performed by descriptive and inferential statistics using SPSS software version 21. Results : Out of 10 sources, Internet (45%), physicians (36.5%), and television (8.1%) were introduced as the main sources of information, respectively. Among the first three sources of information, physicians were perceived as the provider of the most useful information (3.8 out of 5), followed by television (3.5) and friends (3.5). In terms of source credibility, among three sources that received the most responses, physicians ranked first, followed by the Internet and television. Conclusion : The findings of this study show that the Internet, physicians, and television are the three main sources of CRC information, respectively. Despite the rapid development of new communication technologies, in healthcare setting, interpersonal communication is still more credible than new and mainstream media. The potential of new media and the credibility of professionals provide a proper path to achive health goals.
{"title":"Identifying and Evaluating sources of colorectal cancer information among referrals to gastroenterologists","authors":"Davood Mehrabi","doi":"10.52547/jha.25.1.47","DOIUrl":"https://doi.org/10.52547/jha.25.1.47","url":null,"abstract":"Introduction : Due to the development of new technologies, health information sources have become more diverse. Despite these, there is a limited knowledge about the main sources of cancer information, their usefulness and credibility, and the determinants of source credibility. This study aims to identify and evaluate the main information sources of colorectal cancer (CRC), their usefulness, and credibility of the sources. Methods : This was an applied cross-sectional research performed descriptively in Tehran, 2019. A sample of 386 outpatients who visited gastroenterologists were selcted using non-probability homogeneous purposive sampling. Each respondent filled a self-administered questionnaire designed based on study objectives. Data analysis was performed by descriptive and inferential statistics using SPSS software version 21. Results : Out of 10 sources, Internet (45%), physicians (36.5%), and television (8.1%) were introduced as the main sources of information, respectively. Among the first three sources of information, physicians were perceived as the provider of the most useful information (3.8 out of 5), followed by television (3.5) and friends (3.5). In terms of source credibility, among three sources that received the most responses, physicians ranked first, followed by the Internet and television. Conclusion : The findings of this study show that the Internet, physicians, and television are the three main sources of CRC information, respectively. Despite the rapid development of new communication technologies, in healthcare setting, interpersonal communication is still more credible than new and mainstream media. The potential of new media and the credibility of professionals provide a proper path to achive health goals.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49250844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction :One of the communication models that improves communication between the care team, reduces errors, and increases the quality of care is the SBAR method. The aim of this paper was to determine the effect of using the SBAR model in shift handover on patient and nurse satisfaction. Methods : This quasi-experimental study was conducted in the emergency department of Golestan Hospital in Ahvaz, 2020. According to the statistical formula, 70 shift handover positions (in control and experimental groups) were selected based on inclusion criteria. First, the control group was randomly selected and, after training the SBAR model, the experimental group was randomly selected. Shift handover was performed routinely in the control group, but it was based on the SBAR model in the test group. Data were collected using demographic, nurse, and patient satisfaction questionnaires and a researcher-made shift handover checklist. Data were analyzed by an independent t-test, a paired t-test, and a chi-2. Results : The findings showed that there was no statistically significant difference between the two groups of patients in terms of age, length of hospital stays, gender, marriage, employment, education, and type of disease (p<0.05). The results of the paired t-test showed that nurses' satisfaction increased significantly after the intervention. Furthermore, the satisfaction of patients in the experimental group was significantly higher than that of the control group. Conclusion : The present study showed the importance of standardizing the shift handover process. It is possible to increase the quality of care and increase the satisfaction of nurses and patients by training and using the SBAR method in shift handover.
{"title":"The effect of using SBAR model in shift handover on patient and nurse satisfaction in the emergency department","authors":"Leyla Abdollahi, Parisa Sheini Jaberi, Dariush Rokhafrooz","doi":"10.52547/jha.25.1.24","DOIUrl":"https://doi.org/10.52547/jha.25.1.24","url":null,"abstract":"Introduction :One of the communication models that improves communication between the care team, reduces errors, and increases the quality of care is the SBAR method. The aim of this paper was to determine the effect of using the SBAR model in shift handover on patient and nurse satisfaction. Methods : This quasi-experimental study was conducted in the emergency department of Golestan Hospital in Ahvaz, 2020. According to the statistical formula, 70 shift handover positions (in control and experimental groups) were selected based on inclusion criteria. First, the control group was randomly selected and, after training the SBAR model, the experimental group was randomly selected. Shift handover was performed routinely in the control group, but it was based on the SBAR model in the test group. Data were collected using demographic, nurse, and patient satisfaction questionnaires and a researcher-made shift handover checklist. Data were analyzed by an independent t-test, a paired t-test, and a chi-2. Results : The findings showed that there was no statistically significant difference between the two groups of patients in terms of age, length of hospital stays, gender, marriage, employment, education, and type of disease (p<0.05). The results of the paired t-test showed that nurses' satisfaction increased significantly after the intervention. Furthermore, the satisfaction of patients in the experimental group was significantly higher than that of the control group. Conclusion : The present study showed the importance of standardizing the shift handover process. It is possible to increase the quality of care and increase the satisfaction of nurses and patients by training and using the SBAR method in shift handover.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49199885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction : Methods of detecting Coronary Artery Disease (CAD) are often prone to error and are also expensive and painful for the patient; therefore, the development and introduction of accurate machine learning-based methods for diagnosing this condition is of high importance. This research aimed to help detect coronary artery disease using the Harris Hawks Optimization (HHO) algorithm and machine learning techniques. Methods : In this research, a novel approach based on feature selection was employed through a combination of HHO and machine learning techniques such as a Decision Tree (DT) and k-Nearest Neighbors algorithm (k-NN). To evaluate the proposed approach, we used two datasets (Cleveland & Z-Alizadeh-Sani) with medical records of 303 patients, and the evaluation was conducted by means of python 2016. Results : On the basis of the findings of this research, feature selection by using the Harris hawks optimization algorithm in combination with machine learning methods resulted in an increase in the accuracy of the results in such a way that in the case of Z-Alizadeh-Sani dataset, the percentage of accuracy in combination with a decision tree was equal to 0.98 and in combination with the k-nearest neighbors algorithm was equal to 0.78. Furthermore, the results of the Cleveland dataset showed that using the HHO in combination with a decision tree led to 88 percent accuracy and in combination with the k-nearest neighbors algorithm led to 77 percent accuracy. However, in the case of using all of the features (HHO only mode), accuracy was lower in all cases. Therefore, the HHO algorithm in combination with the decision tree was able to achieve the highest accuracy in diagnosing CAD in the feature selection mode compared to using all of the features. Conclusion : The results from this study showed that the Harris hawk optimization algorithm in combination with machine learning techniques can have a positive role in the process of selecting effective features in diagnosing coronary artery disease.
{"title":"Diagnosis of Coronary Artery Disease by Bat and Harris Hawk Meta-Heuristic Optimization Algorithms and Machine Learning Methods","authors":"Sarina Maleki, Y. Zare Mehrjerdi","doi":"10.52547/jha.25.1.57","DOIUrl":"https://doi.org/10.52547/jha.25.1.57","url":null,"abstract":"Introduction : Methods of detecting Coronary Artery Disease (CAD) are often prone to error and are also expensive and painful for the patient; therefore, the development and introduction of accurate machine learning-based methods for diagnosing this condition is of high importance. This research aimed to help detect coronary artery disease using the Harris Hawks Optimization (HHO) algorithm and machine learning techniques. Methods : In this research, a novel approach based on feature selection was employed through a combination of HHO and machine learning techniques such as a Decision Tree (DT) and k-Nearest Neighbors algorithm (k-NN). To evaluate the proposed approach, we used two datasets (Cleveland & Z-Alizadeh-Sani) with medical records of 303 patients, and the evaluation was conducted by means of python 2016. Results : On the basis of the findings of this research, feature selection by using the Harris hawks optimization algorithm in combination with machine learning methods resulted in an increase in the accuracy of the results in such a way that in the case of Z-Alizadeh-Sani dataset, the percentage of accuracy in combination with a decision tree was equal to 0.98 and in combination with the k-nearest neighbors algorithm was equal to 0.78. Furthermore, the results of the Cleveland dataset showed that using the HHO in combination with a decision tree led to 88 percent accuracy and in combination with the k-nearest neighbors algorithm led to 77 percent accuracy. However, in the case of using all of the features (HHO only mode), accuracy was lower in all cases. Therefore, the HHO algorithm in combination with the decision tree was able to achieve the highest accuracy in diagnosing CAD in the feature selection mode compared to using all of the features. Conclusion : The results from this study showed that the Harris hawk optimization algorithm in combination with machine learning techniques can have a positive role in the process of selecting effective features in diagnosing coronary artery disease.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47455047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction : The development of media literacy and expansion of social health and moral literacy can pave the way for desirable performance.This study investigated the effect of media literacy on social health using the mediating role of moral literacy among medical staff in Aligudarz. Methods : The present applied research was a descriptive-analytical study. Tools to gather data consisted of three Taman’s Media Literacy scales, Keyes’ Social Health, and Moral Literacy Questionnaires. The sample size was 217 people from Aligoudarz Health Personnel selected via a simple random sampling method. The data were analyzed by Confirmatory factor analysis (CFA), Structural Equation modeling, and Pearson Correlation in the SPSS-24 and Smart-PLS software. Results : The study of the mediating role of moral literacy based on the bootstrapping approach showed an insignificant direct effect of media literacy on social health (t = 0/37, p> 0/05). Media literacy indirectly affects social health through moral literacy, equal to 0/38 (t = 6/18 p <0/05). Moral literacy has a complete mediating role in the relationship between media literacy and social health.According to the Sobel test, moral literacy has a significant mediating role in media literacy and social health. Conclusion : Media literacy potential affects social health.Therefore, using moral literacy makes it possible to promote social health, especially among medical staff.
导言:媒体素养的发展和社会健康和道德素养的扩大可以为理想的表现铺平道路。本研究以阿利古达尔兹县医务人员道德素养为中介，探讨媒介素养对社会健康的影响。方法:本研究采用描述性分析方法。收集数据的工具包括Taman的媒体素养量表、Keyes的社会健康问卷和道德素养问卷。通过简单的随机抽样方法从阿利古达尔兹卫生人员中选取217人作为样本。采用SPSS-24和Smart-PLS软件进行验证性因子分析(CFA)、结构方程模型和Pearson相关性分析。结果:基于自举方法的道德素养中介作用研究显示，媒介素养对社会健康的直接影响不显著(t = 0/37, p> /05)。媒介素养通过道德素养间接影响社会健康，等于0/38 (t = 6/18 p <0/05)。道德素养在媒介素养与社会健康的关系中具有完全的中介作用。根据Sobel检验，道德素养在媒介素养和社会健康之间具有显著的中介作用。结论:媒介素养潜能影响社会健康。因此，使用道德素养可以促进社会健康，特别是在医务人员中。
{"title":"The Effect of Media Literacy on Social Health with the Mediating Role of Moral Literacy: A Case Study","authors":"Majid Ali Bakhshi, farahnaz mostafavi kahangi","doi":"10.52547/jha.25.1.35","DOIUrl":"https://doi.org/10.52547/jha.25.1.35","url":null,"abstract":"Introduction : The development of media literacy and expansion of social health and moral literacy can pave the way for desirable performance.This study investigated the effect of media literacy on social health using the mediating role of moral literacy among medical staff in Aligudarz. Methods : The present applied research was a descriptive-analytical study. Tools to gather data consisted of three Taman’s Media Literacy scales, Keyes’ Social Health, and Moral Literacy Questionnaires. The sample size was 217 people from Aligoudarz Health Personnel selected via a simple random sampling method. The data were analyzed by Confirmatory factor analysis (CFA), Structural Equation modeling, and Pearson Correlation in the SPSS-24 and Smart-PLS software. Results : The study of the mediating role of moral literacy based on the bootstrapping approach showed an insignificant direct effect of media literacy on social health (t = 0/37, p> 0/05). Media literacy indirectly affects social health through moral literacy, equal to 0/38 (t = 6/18 p <0/05). Moral literacy has a complete mediating role in the relationship between media literacy and social health.According to the Sobel test, moral literacy has a significant mediating role in media literacy and social health. Conclusion : Media literacy potential affects social health.Therefore, using moral literacy makes it possible to promote social health, especially among medical staff.","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46059576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transparency in Budget and financial performance of Universities of Medical Sciences","authors":"Behzad Najafi","doi":"10.52547/jha.25.1.9","DOIUrl":"https://doi.org/10.52547/jha.25.1.9","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41805911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Masoumeh Rahimipour, S. M. Hosseini, M. Jafari, Ail Maher, M. Bahadori
{"title":"Strategic purchase of cardiovascular health services by DIMATEL method","authors":"Masoumeh Rahimipour, S. M. Hosseini, M. Jafari, Ail Maher, M. Bahadori","doi":"10.52547/jha.24.4.35","DOIUrl":"https://doi.org/10.52547/jha.24.4.35","url":null,"abstract":"","PeriodicalId":36090,"journal":{"name":"Journal of Health Administration","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42856399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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