International Journal of Hospital Research
Year:2020 | Volume:9 | Issue:4|Papers Count:7

Background and Objective: This research was conducted by comparing the effectiveness of the acceptance and commitment based therapy and cognitive behavioral therapy on the quality of life of the women who are withdrawing the crystal. Methods: The research method has been semi-experimental of pretest, posttest type with the control group, and the implementation of acceptance and commitment therapy method and cognitive behavioral therapy has been on two experimental groups with a three-month follow-up stage. The statistical population of this research was composed of all women who were withdrawing, referred to the withdrawing addiction therapy centers during the time period of September 2016 to March 2017 in Isfahan province and after exclusion of 13 people in the group under acceptance and commitment therapy, and 10 people in the group of cognitive behavioral therapy and in the control group, 13 people remained as the sample in the research. The instruments used were the Acceptance and Commitment-Based Therapy Protocol in Addiction by Hayes et al. (2004), and Hayes et al. (2004), as 15 sessions of 90 minutes, and the Cognitive Behavioral Therapy Protocol in Addiction by Carroll (1998) and the questionnaire of the quality of life of Frisch (1994). Repeated measures ANOVA was also used. Results: The findings based on the mean indicator in the pretest, posttest and follow-up of therapeutic effects in the quality of life component indicate that the acceptance and commitment based therapy is more effective that the cognitive behavioral therapy i n improving the quality of life of women who are withdrawing crystal. Conclusion: Therefore, it is suggested that the researchers use the acceptance and commitment based therapy and behavioral cognitive therapy, the two protocols used in this research in other populations and the consumers of drugs, and the applied implications to improve the psychological status and the promotion of the quality of life of women who are withdrawing can be presented to the therapists.

Introduction & Objective: The present study was to design an organizational health model based on job motivation and emotional intelligence in Hospitals of Kerman province. It was to evaluate the emotional factors in the medical environments. Method: The research method is exploratory-mixed. It is also developmental-applied in terms of aim. It is also a field research in terms of data collection method. First, using the Delphi method, the components were identified and the model was designed and the relationship between the variables was examined using a designed questionnaire, which its validity and reliability were confirmed. The statistical population of the present study included all 17928 employees working in Hospitals of Kerman province, of which 1524 people were selected as the sample size through Cochran's formula using stratified random sampling. Data collection tools were researcher-made questionnaires of organizational health questionnaire, job motivation questionnaire, and emotional intelligence questionnaire with a fivepoint Likert scale. Results: In examining the characteristics of organizational health model, the results of factor analysis showed that all dimensions of organizational health, job motivation and emotional intelligence are approved and based on the validity indicators of the model, it can be accepted that the proposed model has acceptable validity. the mean score of organizational health, job motivation and emotional intelligence in the studied sample was 4. 13, 3. 95 and 4. 18, respectively, indicating that organizational health and its two dimensions were in very good status and technical dimension was in good status, job motivation and the dimensions of internal and external factors were in good status, and emotional intelligence and its four components were in very good state, and components were in good status Conclusion: Component of job importance ranked second, and the component of way of supervising, self-control, responsibility, recognition and appreciation, job satisfaction and job security were ranked third to eighth, respectively. It is recommended to create an intimate atmosphere in the organization for employees to increase job motivation and emotional intelligence, since it results in increasing organizational health and finally organizational success.

Background and Objective: Liver transplantation is an accepted treatment for patients who present with end-stage liver disease. However, LT is restricted due to a lack of suitable donors, and further on this imbalance between supply and demand leads to death for those who are waiting on the waiting list. Specialists use MELD to assign the donor organ to the recipient and predicting the survival of patients after liver transplantation, but this index alone will not be suitable for this task and has some weaknesses. furthermore, other indicators need to be selected so that they can have a more appropriate allocation and better predictive power. The optimal allocation in waiting time and predicting the survival of patients after liver transplantation is a problem that might be answered using data mining techniques. The purpose of the present study is to review and compare the different data mining, machine learning, and deep learning techniques in the articles published in this area. Method: Using relevant keywords, international databases relevant materials were investigated. After limiting the search strategy and deleting the duplications, the rest of the valid papers were screened by examining the title and abstract. To increase the sensitivity of the searching procedure, reference lists of papers were also examined. Finally, 42 articles related to the subject of research were selected from 1994 to 2020. Conclusion: By reviewing the literature, we found that artificial neural network (ANN), ensemble models such as random forest (RF) and Gradient boosting machine (GBM) and their combinations among other data mining models, have shown the best results in the allocation problem and forecasting graft survival after LT. And these machine learning models, when in addition to the MELD score, use other features such as age, sex, Body mass index (BMI), Albumin, and several other useful related features, the model has a better performance in predicting graft survival after LT than the prediction only with the MELD score.

Background and Objective: it is essential to improve the quality of life and psychological wellbeing of employees working in Organization, which is the most important training system. If the predicting variables of psychological wellbeing of employees are considered and evaluated, their individual, social and organizational performance will be improved. This study aims to design the causal model of psychological capital-based psychological wellbeing with mediation of mindfulness in employees working in Hospital education organization. Method: Descriptive mythology with descriptive-correlational type and Structural Equation Modeling was used. Statistical population comprised all of employees of education and training system in Tehran during 2018-2019 (N=58727). To determine sample size, the principles of multivariate regression analysis in SEM were used (n=610). Wellbeing Questionnaire, Capital Scale, and Mindfulness Questionnaire were employed to evaluate the situation of staffs. Results: The obtained results showed that the research model fit indicators were reliable and the proposed model had an optimal fit. The variable of psychological capital had both direct and indirect impact on the psychological wellbeing by mediation of mindfulness. The psychological capital could predict the psychological wellbeing of staffs positively. Conclusion: The research results emphasized on the vital role of psychological capital and mindfulness in predicting the psychological wellbeing. It is suggested that organizations can perceive the factors affecting psychological wellbeing of staffs and provide a suitable workplace regarding organizational objective by considering the abovementioned variables. Psychological wellbeing of employees working in Hospital education organization will be improved psychological capital and mindfulness is improved.

Background and objectives: Three-dimensional conformal radiotherapy (3DCRT) is used to treat breast cancer with multiple radiation beam fields with precision while sparing normal tissue. Noteworthy problem with treatment using different isocenters in 3DCRT technique is undesirably increased radiation doses due to superposition of fields of radiation beams. At this condition, the use of a single isocenter appears to be a suitable solution. The objective of this study was to evaluate the clinical outcomes of 3DCRT with full beam technique (single isocenter) and evaluate effect high-energy photon beam during whole breast irradiation on healthy tissues, planning target volume, dose homogeneity, and dose of organs at risk (such as heart, cord, right and left lungs, and spinal cord). Methods: Radiotherapy treatment of 50 patients with left-sided breast cancer treated to a prescribed dose of 40. 05 Gy in 20 fractions, 5 fractions per week during 4 weeks. The treatment plans executed by using Linear accelerator (Elekta Synergy) with single isocenter for evaluation of clinical outcomes based on three-dimensional conformal radiotherapy (3DCRT) technique with full beam plan. Results: Mean dose Gy for planning target volume PVT was (40. 53±,0. 46 Gy). The dose for complete beam planning methods was 40. 050Gy, and Conformity Index CI < 1. The mean heart doses were (476. 7±, 314. 6 cGy), and the heart was exposed to dose 4. 4±, 4. 5 cGy. The low dose volume in this technique was less than <20 Gy. Similarly, the left lung was exposed to the low dose volume (V20) was 0. 020 cGy, but for the right lung (V20) was zero. The mean dose of the left lung was (10. 18Gy), but with the right lung was (0. 0882 Gy). The Spinal Cord Max dose <2 Gy Conclusion: Complete planning treatment plan achieved improved dose homogeneity and superior outcome regarding dose to normal tissues.

Background and Objective: The ethical behavior of students in medical sciences universities reflects the respected values of the educational system of these universities. Appropriate ethical behavior in medical universities leads medical students to adopt an appropriate paradigm and apply this type of behavior to society after graduation. The purpose of this article is to identify medical students' perceptions of ethical behavior. The present study was conducted with the aim of explaining the Ethical Behavior of Medical Students in the Hospital. Methods: The present study was performed with a qualitative approach using conventional content analysis for data analysis. Sampling was performed in an easy and accessible manner by selecting 19 students from Shiraz School of Nursing and Midwifery. The data collection method was a semi-structured interview. Word-of-mouth recorded interviews were implemented. Content analysis (using MAXQDA software) was used to reduce the data, record the data, obtain the analytical code, and finally identify the issues. Results: The findings of the data analysis ended in the following categories: conscientiousness (including conscientiousness in the educational environment, conscientiousness in the Hospital and conscientiousness in society), respect and benevolence (including respect and benevolence in the educational environment, respect and benevolence). Conclusion: Overall, students' perceptions in this study showed that, based on their perceptions, ethical behavior encompasses a wide range of contexts. They overlap with these themes. It was clear to the students that observing ethical behavior in the Hospital was more important than the non-clinical setting.

Introduction and objective: Autism Spectrum Disorders (ASD) are a group of disorders that are classified as neurodevelopmental disorders and their main characteristic is impairments of social communication abilities and limited of interests and behaviors. In this study, we aimed to study the Social Determinants of Health (SDH) status of children with autism spectrum disorders in East Azerbaijan province. Methods: The present study is a descriptive-analytical cross-sectional study conducted in 2018. The sample size was estimated 112. The standard questionnaire of SDH of children with ASD was used to collect data. Data analysis was performed using descriptive and analytical statistics using SPSS software version 19. Results: According to the results, most of the participants (children with ASD) were male (81. 3%) and had social security insurance (54. 5%), the occupation of the most of their fathers were self-employed (58%). 3. 6% of the children did not have a health insurance. the most imposed stress due to SDH factors were related to parental mental health concerns (99. 1%), lack of required services (97. 3%), cost-effective care services (93. 8%), access to needed healthcare (93. 8%), and the least stress includes worries about physical violence of adults at home (59%). The results of the analysis of the relationship between SDH scores and demographic information of children with autism spectrum disorder showed that there is a significant relationship between having stress due to lack of insurance and the mother statuses in terms of alive or divorce (p-value =. 023) but has no significant relationship with other childhood demographic information. Conclusion: According to the results of the study, the SDH status of families of children with ASD is at an unfavorable level, which leads to anxiety in families, imposing excessive costs on them and thus a serious threat to improving the situation of children with ASD.