JOURNAL OF HEALTH ADMINISTRATION
Year:2022 | Volume: | Issue: |Papers Count:9

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.

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.

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.

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 learningbased 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 & ZAlizadeh-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.

Introduction: The pharmaceutical industry is one of the most critical industries in the country, and solving its problems is of great importance. In the current situation, on the one hand, many sanctions have been imposed on the country. On the other hand, with the outbreak of Covid-19, the importance of medicine for the country's health system has received more attention. Therefore, given the political and economic conditions, the development and accurate planning of the government to support the pharmaceutical industry must be given priority. Thus, this study examines and explains the role of the government and its support for the pharmaceutical industry during the Covid19 pandemic by identifying policies to determine their effectiveness and rank. Methods: In the present applied-descriptive research, a questionnaire and interviews with experts were used. The number of experts participating in this study was ten,they were managers of different departments of pharmaceutical knowledge-based companies who were selected using purposive, non-random sampling method. Causal relationships and the effect of model variables were identified using the fuzzy DMATEL technique. Finally, the importance of each support was determined using the fuzzy ANP method and Super Decisions software. Results: Three categories of support policies and eight supports related to the influential role of the government in the development of the country's pharmaceutical industry were identified. As a result, exemptions were recognized as the most influential support policies, including customs exemption protections, tax exemptions for pharmaceutical companies, and exemptions or deferral of previous loans. Conclusion: Drug safety is one of the main goals of development policies, and ending dependence on the aid of other countries and self-sufficiency in this industry requires the formulation of special protection principles. The government can use the results obtained in this study in determining its support policies for the pharmaceutical industry in the face of sanctions and Covid-19 pandemic.

Introduction: Health inequalities can determine the risk of diseases and the measures employed to prevent and treat diseases when they occurs. The COVID-19 pandemic has played an important role in creating and reinforcing numerous health inequalities across the globe. This study aimed at investigating inequalities in access to health services in patients with COVID19 and mortality caused by it at the provincial level of Iran. Methods: This descriptive cross-sectional study assessed all provinces of Iran for a number of hospital measures, including total hospital beds, ICU beds, the number of CT scans, and the number of specialists and nurses. To determine the effect of hospital infrastructure and facilities on death and hospitalization, the Pearson correlation coefficient was used. Multivariate linear regression was employed to determine the relationship and significance of the variables, and the Gini coefficient and the Lorenz curve were used to measure inequalities in the distribution of facilities and infrastructures. Results: The results showed that on the basis of hospital facilities, the rate of hospitalization and death due to COVID-19 can be predicted by 96%. Increasing ICU beds increased hospitalization and death by 1. 16 and 0. 97 respectively. Also, for every increase in the number of doctors and nurses, the chance of hospitalization increased by 0. 423 and decreased by 0. 741 respectively. Isfahan, West Azerbaijan, Yazd, Kermanshah and Zanjan provinces had the lowest Gini coefficient in bed distribution. Conclusion: The distribution of resources among provinces is not fair. Therefore, in order to achieve universal health coverage and comply with the leveling of service provision, it is necessary to make policies and plans according to the needs of the society and allocate resources based on the needs and burden of the disease.

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.