نشریه پرستاری و مامایی ارومیه
سال نوزدهم شماره 3 (پیاپی 140، خرداد 1400)

Chronic renal failure is an irreversible and progressive kidney disease in the world and also in Iran. Hemodialysis is the most common protective treatment in these patients and it has a significant impact on the patientchr('39')s life. Sleep disorders in these patients are associated with physical, behavioral, and psychological problems. The aim of this research was to examine the effect of applying the health belief model on sleep quality in patients undergoing hemodialysis at Khoy Shahid Madani Hospital in 2018.

This study was a quasi-experimental research with a pretest-posttest design and subjects were selected by random sampling from the available population (70 eligible patients) and then patients were assigned to the intervention and control groups. The Demographic Questionnaire and Pittsburgh Sleep Quality Questionnaire were completed by the researcher for both groups during the first session. Then, for the intervention group, the health belief model training program was performed in six stages (perceived sensitivity, perceived intensity, perceived benefits, perceived barriers, guidelines for practice, and perceived self-efficacy) in the form of eight one-hour sessions (one session per week) in groups and followed up for two months. In the control group, routine care was performed and no special intervention was performed. The sleep quality questionnaire was completed by the researcher for both groups. Descriptive and inferential statistics were used to analyze the data. Data were analyzed by SPSS software version 24 using independent t-test, Chi-square, Mann-Whitney, and Wilcoxon tests.

Based on the findings, the difference between the mean score of total sleep quality in the two groups of intervention and control before the intervention was not statistically significant (p> 0.05), but after the intervention, the difference in the mean score of sleep quality in all dimensions was statistically significant except for the use of hypnotics in the intervention and control groups (p <0.05).

Training based on the stages of the health belief model can be effective in improving and enhancing the sleep quality of patients undergoing hemodialysis. Training nurses about the use of this model can improve the sleep quality of patients. Therefore, the use of this model is recommended for the care of these patients and similar patients.

Various factors can affect the quality of life and the self-efficacy of patients with myocardial infarction. The effect of multimedia education with family-centered approach based on telephone follow-up (tele-nursing) on quality of life and self-efficacy of patients with myocardial infarction was investigated.

In this clinical trial, 60 patients with myocardial infarction were selected by convenience sampling and the intervention group was randomly divided into two groups of intervention and control, and a 10-group intervention workshop was organized through multimedia software for patients and active family members. Also, the intervention was conducted by the researcher for 1 month (once a week). The control group did not receive any intervention. Patientschr('39') quality of life and self-efficacy was measured before and one month after the intervention using the Minnesota (MLHFQ) quality of life and the Sherer General Self-efficacy Questionnaire. Data were analyzed by SPSS 21 software at the significant level of 0.05.

Mean scores of quality of life and self-efficacy between the two groups of control and pre-intervention (2.94 ± 0.31), (2.91 ± 0.43), (2.92 ±0.24) and (2.93 2 0.41) respectively was which were not statistically significant (p = 1). However, after the intervention, this difference became significant so that in the intervention group, quality of life and self-efficacy increased (P≤0 / 001).

Training and telephone follow-up were effective in improving the quality of life and self-efficacy of patients with myocardial infarction.It is recommended that educational interventions with a family-centered approach by nurses in patients with myocardial infarction To be.

Stroke can lead to post-stroke depression, which has severe negative effects on the quality of life of the patients. Post-stroke depression and quality of life may have interactions with each other. The aim of this study was to determine the effect of home care education to caregivers on depression and quality of life in stroke patients in Imam Khomeini educational and treatment center, Urmia, 2019-2020.

The present study is a clinical trial in which a pre-test and post-test design with a control and test group was used. The sample size was 66 eligible patients who were randomly divided into two equal groups of intervention and control. The demographic information form of patients and their caregivers was completed by reviewing the records and interviews, and all the subjectsunderwent a pre-test to assess depression and quality of life using the Beck Depression Inventory (Second Edition) and the stroke-specific quality of life questionnaire. The intervention included conducting home care training for caregivers in four 60-minute sessions, once a week by the researcher at the patientschr('39') home by face-to-face method, with discussions and questions. Post-test was performed one month after the intervention in the intervention and control groups to assess depression and quality of life using previous questionnaires.

The findings showed that before the intervention, the two groups did not have a statistically significant difference (p = 0.981), but after the intervention, the two groups had a statistically significant difference in depression scores. In the intervention group, depression score decreased from 39.45 before the intervention to 22.52 after the intervention (p <0.001), while in the control group, this trend was almost unchanged and constant. The results also showed that before the intervention the two groups did not have a statistically significant difference in the quality of life score (p = 0.471) but the two groups had a statistically significant difference after the intervention in quality of life scores. The quality of life score in the intervention group increased from 118.58 before the intervention to the 183.97 after the intervention (p <0.001), while this trend remained almost unchanged in the control group.

Based on the findings of the present study, home care training for caregivers is effective in reducing depression and improving the quality of life in stroke patients.

Due to the condition of coronary heart disease and its epidemic, treatment staff and especially nurses have a key role in controlling and treating coronary heart disease. With these interpretations, the essential role of nurses as a powerful arm of hospitals should be acknowledged. In addition to the services that nurses provide to patients, the type of communication and how they treat patients has a great impact on the treatment process and patient satisfaction; It is possible to get the quality of communication with the patient and provide medical services to him is directly affected by the nursechr('39')s satisfaction. Satisfaction and comfort of nurses largely determine the quality of health care, so the purpose of this study was to investigate the effect of a variety of career paths on the psychological well-being of nurses in order to improve their productivity.

This research is applied in terms of method and nature, including descriptive-correlational research and in terms of purpose. The statistical population of the present study is the nurses of public hospitals in Khorramabad in the period of October to December 2016. Given that the statistical population was 450 people, based on Morgan table, the sample size was estimated to be 210 people. The sampling method in this study is available sampling. To collect information, standard questionnaires were used and to measure the variable of various career paths, the questionnaire of Briscoe et al. (2006) and also to measure the psychological well-being variable, the Reef questionnaire (2002) was used.. For reliability (reliability) of internal consistency, two criteria of Cronbachchr('39')s alpha coefficient and structural reliability (combined reliability) were used for the suitability of the measurement model. In this study, the mean extracted variance (AVE) was used to assess the convergent validity. The GOF index in the PLS model is a solution to check the overall fit of the model and is between zero one and values ​​close to one indicate the appropriate quality of the model.

The value of Cronbachchr('39')s alpha is more than 0.70 which indicates high internal compatibility. Also, the reliability of the structure (combined reliability) is obtained, which is more than 0.70 and according to Fornel and Larker (1981) has a good reliability. Also, the factor loads for the items were more than 0.40, which are statistically significant (acceptable) according to Hir et al. Convergent validity exists when the AVE is greater than 0.5. The value of all AVE obtained in this study is more than 0.50, which according to Fornel and Larker indicates the appropriate convergent validity. Structural equation modeling and PLS software were used to review and test the model. According to the value obtained for GOF of 0.595, a very suitable fit of the general model is confirmed. The results of structural equation modeling using Smart PLS software showed that the research hypothesis is confirmed at 95% confidence level.

Results at 95% confidence level indicate a diverse career path has a positive and significant effect on psychological well-being. According to the research results, it can be found that giving nurses more independence and freedom of action has a positive effect on the psychological well-being of nurses. It is also possible to have a positive effect on the communication and quality of services provided by nurses by improving personal and specialized skills and creating a creative atmosphere in hospitals, which is itself a consequence of the satisfaction of this group.

Given the negative effects of middle-age changes on the quality of life of middle-aged women, there is a need to identify factors that have a positive effect on their quality of life, so that in the future we can focus our interventions on these factors. Therefore, the present study was conducted to determine the relationship between the dimensions of a health-promoting lifestyle and quality of life among the middle-aged women in Bazargan city.

This cross-sectional study was performed on 150 middle-aged women living in Bazargan city. The data gathering tool was a tri-section questionnaire including demographic information, Walker Health Promoting Lifestyle and Quality of Life (SF-12) scale which was provided to the samples through WhatsApp messenger. Data analysis was performed with SPSS software and using descriptive and analytical (Kolmogorov–Smirnov, Pearson correlation and Multiple linear regression) statistics.

The mean scores of health-promoting lifestyle and quality of life were 136.96±21.05 and 60.02±19.38, respectively. Among the six dimensions of health-promoting lifestyle, two dimensions of physical activity (p <0.020, β = 0.215) and spiritual growth (p <0.020, β = 0.212), were significant predictive factors of quality of life in middle-aged women of Bazargan city.

The quality of life and lifestyle among middle-aged women of Bazargan city was not at an acceptable level. Therefore, policymakers and executives in the health system can use these findings to design and implement a variety of programs, including educational programs to improve the lifestyle of middle-aged women in Bazargan city and thus improve their quality of life.

Autism spectrum disorder is one of the most common forms of pervasive developmental disorders and it is introduced as one of the most serious and unrecognized disorders in childhood. Therefore, the aim of this study was to determine the prevalence of the risk factors during pregnancy for autism spectrum disorders.

The sample size was 310 subjects (109 girls and 201 boys) who were selected using the available sampling method. The researcher collected information using The International Classification of Functioning, Disability and Health (ICF). Visual analysis and percentage index were used to analyze the data.

Factors such as maternal disease, drug use during pregnancy, maternal seasonal sensitivity, second child, single child, prematurity, jaundice during pregnancy, triple vaccination, MMR vaccine, history of NICU and incubator, maternal bleeding in the first trimester of pregnancy, gestational diabetes, history of the ruptured bladder during pregnancy, history of thyroid, Maternal overweight, history of varicose veins during pregnancy, history of nausea, having surgery during pregnancy, stress during pregnancy, cesarean delivery, unwanted pregnancy, iron deficiency during pregnancy, family relationship, family problems, phototherapy, and neonatal overweight were identified. According to the percentage index, MMR vaccine history with 91% and diabetes during pregnancy with 27% had the highest and lowest prevalence, respectively.

Findings from this study showed that some factors during pregnancy are more common in children with the autism spectrum disorder. Therefore, effective preventive therapy and treatment can be considered. It is also suggested that experts and officials in this field plan related screenings.

Process resilience is the ability or consequence of successfully adapting to threatening conditions. The purpose of this study was to determine the effect of emotional intelligence training on the resiliency of spouses of schizophrenic patients.

In this field trial study, 30 spouses of schizophrenic patients were randomly assigned to the intervention and control groups. At first, Demographic, Bar-on emotional intelligence and Conner and Davidson resiliency questionnaires were completed by intervention and control groups. Then, by holding 8 training sessions, the intervention group received the necessary training on emotional intelligence and its skills along with practical exercises in the sessions. Then the two questionnaires were again completed by both intervention and control groups. Fisherchr('39')s exact test, independent t-test, paired t-test, and analysis of covariance were used to analyze the data.

Mean scores of emotional intelligence before intervention in the intervention group and the control group were 285.87±40.308 and 287.33±28.826, respectively. After the intervention, the mean scores of emotional intelligence in the intervention group and control group were 295.87±35.496 and 288.73±27.088, respectively. The mean score of resiliency in the intervention group before the intervention was 22.80±7.876 and it was 32.53±10.596 in the control group. After intervention, the mean scores of emotional intelligence in the intervention group and the control group reached 63.87±11.051 and 57.93±13.520, respectively. These changes were statistically significant. (p <0.05).

Emotional intelligence training improved the resiliency of spouses of schizophrenic patients, while there was no significant change in resiliency in the control group before and after the intervention. Therefore, it is recommended that emotional intelligence training be included in the educational programs of the spouses of schizophrenic patients.

Currently, educational inequalities are one of the most important categories in the field of educational planning, which has a decisive role in the expansion and improvement of education and development. The aim of this study was to investigate the level of inequalities and ranking of the faculties of Urmia University of Medical Sciences and to provide cosmetic strategies in order to achieve sustainable educational development.

The present research is applied in terms of purpose and descriptive-analytical in terms of method. The method of collecting statistics and data was documentary and survey. The statistical population in two parts included documents and statistics of 6 faculties of Urmia University of Medical Sciences and students of the faculties of Urmia University of Medical Sciences in the academic year 2020-2021. In the documentary part, the census sampling method was used and in the descriptive part, the relative stratified random sampling method was used. In analyzing the data, TOPSIS models, scattering coefficient, path analysis, and neural networks were used.

Rankings of the faculties of Urmia University of Medical Sciences using entropy and TOPSIS weighting techniques showed inequality between the faculties in terms of having research indicators. Scattering coefficient also showed the highest inequality in output indices and the lowest inequality in output indices. Cluster analysis and division of regions into three levels: rich, semi-rich, and poor showed that there was a difference between the faculties of Urmia University of Medical Sciences. The results also showed that the process index had the highest and the input index had the lowest direct impact on the inequality of the faculties of Urmia University of Medical Sciences.

In accordance with the research findings, serious attention of planners and policy makers on the influential variables such as input, process, and output is necessary in order to reduce inequalities.