فهرست مطالب

International Journal of Hospital Research
Volume:9 Issue: 4, Autumn 2020

  • تاریخ انتشار: 1399/07/10
  • تعداد عناوین: 8
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  • Maryam Mohammadi *, Hassani Fariba, Suzan Emamipour, Fatemeh Golshani Page 1
    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 in 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.

    Keywords: Acceptance, Commitment Based Therapy, Quality of Life, cognitive behavioral therapy, Women Withdrawing Crystal
  • Hasan Shahrokhi, Zhila Ahmadian, Shahin Taghavinejad, Hayedeh Hasanzadeh, Kamal Gholipour * Page 2
    Bacground & Objective

    Autism Spectrum Disorders (ASD) are a group of disorders that are classified under neurodevelopmental disorders and their main feature is a defect in socio-communication abilities and a limited range of interests and behaviors. The aim of this study was to determine the status of social determinants of health among the families of children with ASD in East Azerbaijan province. 

    Method

    This is a cross-sectional study conducted in 2018. The sample size was estimated 112 individuals. The standard questionnaire of social determinants of health was used to collect data. Data analysis was performed using descriptive and analytical statistics and SPSS software version 19. Statistical analyzes included descriptive statistics (frequency and percentage for qualitative indicators; mean and standard deviation for quantitative indicators). Chi-square test was used to determine the relationship between qualitative variables and social determinants of health. SPSS19 software was used for data analysis and the significance level of the results was considered 0.05.

    Results

    Results of this study showed that the most stress imposed on the families of children with autism spectrum disorders caused by social health factors including 99.1% of parents' mental health concerns, 97.3% of not receiving the required services, 93.8% of affordable care services, and The lowest stress including anxiety from physical violence at home was estimated at 59%. There is a significant relationship between social determinants of health and demographic information of children in cases such as stress due to lack of insurance and the condition of the child's mother in terms of survival.

    Conclusion

    The status of social determinants of health of families of children with ASD is at an unfavorable level, which leads to anxiety in families, imposes exorbitant costs on them, and as a result, a serious threat to improving the situation of children with ASD.

    Keywords: autism, Social Determinants of Health, Equity
  • Jamileh Rayani, Hamdollah Manzari Tavakoli *, Sanjar Salajegheh, Zahra Shokooh, Samaneh Mehdizadeh Page 3
    Introduction & Objective

    The present study was an attempt to design an organizational health model based on job motivation and emotional intelligence in Hospitals of Kerman province. It was survey 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 by using stratified random sampling.  Data collection tools were researcher-made questionnaires of organizational health questionnaire, job motivation questionnaire, and emotional intelligence questionnaire with a five-point Likert scale

    Results

    The validity of results was confirmed by university professors and experts and their reliability was calculated by Cronbach's alpha coefficient. 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. Based on the research results, 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 (institutional and administrative) were in very good status and technical dimension was in good status, job motivation and the dimensions of internal (mental) and external (health) factors were in good status, and emotional intelligence and its four components (awareness, facilitation, cognition, control) were in very good state, and components (social skills and optimism) were in good status

    Conclusion

    The component of job progress and development was ranked first, the component of job importance was 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. According to the research results, 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.

    Keywords: Organizational health, job motivation, Emotional intelligence, Health, Hospitals, emotion, ‎Motivation
  • Fatiheea Fatihalla Hassan *, Nashwan Karkhi Abdulkareem Page 4
    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 technigue 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 lung, Left lung, and spinal cort)

    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 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

    CONCLUSION

    complete planning treatment plan achieved improved dose homogeneity and superior outcome with regard to dose to normal tissues.

    Keywords: breast cancer, isocenter, complete field, radiotherapy, supraclavicular
  • Syed Ebrahim Managheb, Mozhgan Amirianzadeh *, Moslem Salehi, Reza Zarei Page 5
    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). In the clinical environment and respect and benevolence in society), compassion (including compassion in the Hospital, compassion in society), honesty (including honesty in the educational environment, honesty in the clinical environment and honesty in society), rule of law (including apparent rule of law) And esoteric lawmaking), respectful behavior (including respectful behavior in the Hospital and respectful behavior in the learning environment) and confidentiality (including hospital secrecy and dormitory secrecy). Based on the findings, students paid more attention to the two components of honesty and conscientiousness among the components of moral behavior

    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.

    Keywords: Hospital, Medical Sciences, Ethical Behavior, conscientiousness, charity
  • Shiva Masoumparast, Mahdi Zare Bahramabadi *, Fatemeh Khoeini, Hojjatollah Moradi Page 6
    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.

    Keywords: psychological wellbeing, structural equation modeling, Organizational Behavior, Hospital education organization, Tehran
  • Kamran B . Lankarani, Farshad Shafipoor, Behnam Honarvar, Morteza Bagherpour *, Asma Erjaee Page 7
    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 awaiting in 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. Therefore, 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. In order 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.

    Results

    Since this process has some complications for further implementation, the whole process must be created and developed as an LT decision support system which might amend to current HIS or medicine 2.0 as a new module. The latter has to be monitored and further enhanced through feedback given during the development phase

    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.

    Keywords: liver transplantation, Machine Learning, Deep Learning, Neural Network, organ allocation
  • Presenting an Organizational Health Model Based on the Political Behavior of Hospital Managers (Case Study of Fars Hospitals)
    Mohsen Jabolghah, Sanjar Salajeghe *, Saeed Sayadi, Ayyub Sheikhy Page 8
    Background and Objective

    The current study aimed to provide an organizational health model based on the behavior of managers in Fars Hospitals.

    Methods

    This research is applied in terms of purpose, it is descriptive in terms of nature, data collection has been done through field research method. The statistical population includes two groups: 1) Experts familiar with the field of organizational health, 15 people were chosen selectively. 2) Among all staff of Fars Hospitals (1780 people), 315 people were selected as the appropriate volume according to Cochran's formula by stratified random sampling method.

    Results

    Based on the literature review and the obtained opinions of experts, the organizational health questionnaire consisted of 8 main components and 26 sub-indices and a total of 78 questions, and the managers' political behavior questionnaire consisted of 3 main components and 12 sub-indices and a total of 36 questions.

    Discussion

    The questions ranged from completely appropriate to completely inappropriate in a 5-point Likert scale. In this study, the validity of the organizational health questionnaire was 0.91.5 and the validity of the managers' political behavior questionnaire was 0.93.8 by 15 experts and professors of the university. Considering that Cronbach's alpha coefficient of Organizational Health Questionnaire (0.86) and managers' political behavior questionnaire (99.1) was estimated to be more than 0.7, it can be concluded that they have acceptable reliability. In order to analyze the data, structural equation modeling was used through applying LISREL software.

    Conclusion

    Based on the path coefficients and t-statistic of the tests, which is greater than the critical value of t at the 5% error level, ie 1.96, the strength of the relationship between the components of organizational health (environmental responsiveness, cohesion, effectiveness, leadership, professional ethics, performance assessment, Communication style and organizational climate) and the behavior of managers is strong and desirable and of a direct type.

    Keywords: Organizational health, Political Behavior, Hospital Managers, University of Medical Sciences, ‎Fars Province