International Journal of Hospital Research
Volume:11 Issue: 3, Summer 2022

Motivational interviewing (MI) has recently become a topic of great interest in the diabetes behavioral field, having been the focus of workshops and researches. One of the most essential aspects in behavior modification to promote effective diabetes control is self-efficacy. In diabetes affected subjects, self-efficacy is critical in predicting self-care actions. In this narrative review, we focused on the current literature of the motivational interviewing for Diabetes patients in hospitals.

Our study revealed that applying the MI method and raising individuals' motivation might increase self-efficacy. To improve health and quality of life, diabetic organizations might adopt the MI approach and increase self-efficacy in persons with diabetes.

It is suggested that MI can help modifying physical condition of patients as well as blood sugar and systolic blood pressure control along with long term positive outcomes in prevention of psychological disorders like depression that all would finally result in life quality improvement in diabetic patients; while there might be some reconsideration for type 1 diabetes as MI has been shown to have lower efficacy in this medical condition.

Four unknown pneumonias were recorded on December 26, 2019 in China. All the infected people were from the same family. As long as the virus did not expand, this issue could not be worried, but during the next two days, 28 and 29 December 3 were reported other case. The release of incorrect news in the Corona crisis caused the countries involved with this disease experience difficult conditions. In this paper, we tried to make false information and social psychiatric consequences of release of this information in Critical Crisis.

In this review article, the keywords of coronavirus and COVID-19 and their association with the word’s false news, pandemic, psychiatric outcomes, social consequences in Springer, PupMed Google Scholar, Science Direct, ProQuest Scopus Google, Magiran, sid, Normgaz, Irandoc, ensani.ir and Civilica were investigated between January 2019 and May 2020.

Psychological effects The rapid onset and spread of the disease has made changes in people's lives and has created negative psychological effects such as depression and fear anxiety.

According to the end result of psychological consequences, the negative effects of false news of the disease on the mental health of children and adolescents and the development of behavioral problems, a variety of fears of physical and social isolation, fatigue, impatience, inattention and irritability.

Physical and mental health are shown to have correlations based upon which parameters including weight, height and feeding behaviors may affect intellectual functions. The present study investigates the correlations between feeding behavior induced changes in anthropometric parameters and the different components of intelligence in children living in two socio-economically different districts in Tehran-Iran.

It was a descriptive-analytical study. Food consumption data was collected through questionnaires and interviews and normalized using USDA database to derive energy intakes. Different aspects of intelligence were assessed using Shutte scale and Raven's standard metrics for IQ. The subjects of this research includes 184 students from district 1 and 19 of Tehran city who were selected by simple random sampling method and were assesd for anthropometric during the follow ups in the hospital clinic.

There was a weak significant negative correlation (r=-0.134) between weight and also weight for age (r=-0.244) and emotional intelligence but not between BMI and IQ or emotional intelligence. Height negatively correlated with intelligence quotient (IQ) (r=-0.144). Students living in District 19 showed more intake of energy than D. 1 while male students received more energy than females in the later area. In both areas the amount of energy supply was more than needed most of which was gained through intake of carbohydrates and fat.

Both districts were significantly different in feeding behaviors and economic levels. Unhealthy feeding behaviors were more prominent in District 19 and overweight might have significant impacts on mental health and intelligence.It is a descriptive-analytical study based on its objectives. Food consumption data was collected through questionnaires and interviews and normalized using USDA database to derive energy intakes. Different aspects of intelligence were assessed using Shutte scale and Raven's standard metrics for IQ. The subjects of this research includes 184 students from district 1 and 19 of Tehran city who were selected by simple random sampling method.There was a weak significant negative correlation (r=-0.134) between weight and also weight for age (r=-0.244) and emotional intelligence but not between BMI and IQ or emotional intelligence. Height negatively correlated with intelligence quotient (IQ) (r=-0.144). Students living in District 19 showed more intake of energy than D. 1 while male students received more energy than females in the later area. In both areas the amount of energy supply was more than needed most of which was gained through intake of carbohydrates and fat.Both districts were significantly different in feeding behaviors and economic levels. Unhealthy feeding behaviors were more prominent in District 19 and overweight might have significant impacts on mental health and intelligence.

Proper and quick diagnosis of disease is necessary in the medical field for the correct and timely treatment. This issue becomes more important when faced to different diseases with similar symptoms, such as thyroid disease, which has similar symptoms to some disease such as cardiovascular disease. Data mining and machine learning techniques are reliable and valuable methods that can improve the ability of physicians for correctly diagnosis and treatment. The main goal of this research is to extract rules of thyroid disease,

Create the features and analyze feature selection algorithms including filter-based, wrapper based and the genetic algorithm to select the most effective features for thyroid diagnosis. The analysis also performed using decision trees models, random forest, bagging, boosting, and stacking methods for diagnosis and improvement of the illness classes precision that including Hypothyroidism and Hyperthyroidism. Model evaluation was performed with four metrics of accuracy, precision, recall, and F-measure.

This research was conducted on data from the University of California (UCI), which included 7200 records with 21 features. Experimental results showed that the genetic algorithm (GA) has a maximum efficiency in feature selection, and the boosted tree with created features produced maximum F-measure among other classifier.

Understanding the various strategies used in the Covid-19 pandemic and its consequences can help to benefit better and more effectively in the future and identify its potential challenges and more effective and efficient solutions to deal with the epidemic. Put such things in front of policymakers in the health system. In this study, we intend to do a systematic review of the types of eHealth strategies used in the Povem Covid-19, the implications and weaknesses, and related challenges.

The present study is a scoping review. Keywords have been selected based on MESH and review of related texts in two main dimensions (Covid-19 disease and eHealth. In this study, valid scientific data sources including:PubMed / Medline, Web of Science, Embase, Cochrane Library, searched.

Of the 5,105 search results from databases and other sources, 3,683 records remained after the duplicate results were removed. We reviewed the remaining studies by title and abstract and identified 71 articles for further review of the full text. 21 studies had inclusion criteria. These studies focus on a variety of eHealth strategies, including electronic health record templates, robotic clinical care, virtual intensive care unit, cloud-based system for effective Covid-19 monitoring and control, mobile decision support system, COVID-19 self-assessment tool Web-based, ICU monitoring technology, call tracking, Internet hospitals, identification, screening and diagnosis of patients with Covid-19, and spatial and temporal reporting via network and GPS were centralized.

Such strategies have been successful in controlling hospital infections, reducing the relationship between treatment staff and patients, more accurate and faster diagnosis, providing services to a wide range of patients and providing quality services. However, taking advantage of such strategies in Pendmi Covid-19 has faced challenges such as resource constraints, legal barriers, and privacy. Collaborating with governments and local health forces with the public can greatly facilitate the benefit of eHealth strategies in a pandemic

The rising trend of hospital costs as a significant share of healthcare system costs is one of the challenges facing hospital managers today. Hospital as a complex organization includes many factors such as human resources, patient flow and performance indicators and therefore faces a variety of management processes. Hospital costs as part of the in-hospital cash flow are affected by a large number of variables that change over time and interact with each other. This study aimed to provide a model for hospital costs based on the internal behavior of the system in order to control costs.

The research method of the paper is descriptive-analytical. Considering the complex and dynamic nature of the system, a model was designed and presented using the system dynamics approach. Data were collected using interview methods and reviewing past studies. To run the proposed model the computer software (Vensim DSS 6.4E) was employed. After testing the model, six scenarios were defined based on the presented model and its subsystems (financial flow, patient flow and employed nurses) to reduce costs, which include: reducing the average length of stay, increasing the staff productivity, reducing the intensity of hospital care, reducing clothing consumption, modifying the hospital nutrition process and finally the simultaneous implementation of all the above. This system dynamics model integrates all of these subsystem's effects rather than considering them individually which is the strength of system dynamics modeling.

The first scenario, while reducing the total cost by 3.8%, increased the bed admission ratio by 6.5%. It should be noted that this scenario increased the hoteling cost by 2%. The second scenario resulted in a 10% reduction in total cost. The third scenario saved 9% of the total cost. The fourth and fifth scenarios reduced costs 1.5% and 7.5%, respectively by reducing overhead costs. The results showed that the sixth scenario is the most effective policy. It reduced the total cost and the hoteling cost by 26% and 22%, respectively.

Findings indicate that the hospital will face a reduction in cost compared to the current situation by using any of the scenarios but it will see a further reduction with the simultaneous implementation of the scenarios while controlling the cost of hoteling. Based on the results any development in surgery department capacity must be accompanied by a suitable cost control policy.

Percutaneous nephrolithotomy surgery (PCNL) is a common surgery method treatment of staghorn renal stones; however, it may be associated with multiple complications such as bleeding. In our clinical trial study, we investigated the effect of intravenous administration of transamin on reducing bleeding in patients undergoing PCNL surgery.

we started a clinical trial study. A total of 64patients with staghorn renal stone who was admitted to urological unit at Baqiyatallah Hospital for PCNL procedure from 2020 to 2021. Patients were randomly divided into two groups of cases (n=32) and controls (n=32).Patients in case group received intravenous injection of transamin (500 mg) during surgery and then up to 3 doses of 500 mg every 8 hours. After PCNL procedure, parameters such as Hb changes, Hb drop, surgery duration, and hospitalization duration were evaluated and compared between two groups.

36 patients (56.25%) were male and 28patients (43.75%) were female. There was no significant difference in the mean of age, weight, and the frequency of sex between two groups. No significant difference was observed in the mean of stone size between controls and cases (3.5 ± 0.78 cm vs.3.45 ± 0.87 cm; p=0.69).Patients in the case group revealed lower Hb drop compared to those in control group (0.82 ± 0.4g/dl vs. 2.51 ± 1.03g/dl; p<0.001).The mean of hospitalization time in control group was significantly higher than case group (3.25 ± 0.43 days vs. 3.03 ± 0.17 days; p=0.011).The mean of surgery time was higher in controls than cases (43.12 ± 3.96 min vs. 40.78 ± 3.38 min; p=0.014).

The intravenous injection of tranexamic acid not only decreases Hb drop, but also reduces the hospitalization and PCNL surgery times in patients with staghorn stones without serious side effects.

It is widely accepted that nurses’ performance is one of the most important factors affecting patient safety. In this regard, various issues, such as work experience, affect nurses’ performance. Therefore, the present study aimed to comparatively evaluate the performance of in-service and permanent nurses working in hospitals of Iran University of Medical Sciences.

The present descriptive study was carried out on 225 in-service and 290 permanent nurses. The participants were selected by simple consensus sampling using the Cochran formula. Data were collected applying the Hersey and Goldsmith (1980) organizational performance questionnaire (with seven dimensions including ability, clarity, support, incentive, evaluation, credibility, and environment). Data analysis was performed in SPSS version 23 using descriptive and inferential statistics, t-test, as well as mean and standard deviation.

In this study, the mean level of scientific ability and mastery, understanding and awareness of work, cooperation, job motivation and desire, the level of job accountability and environmental factors affecting the activity among permanent nurses were lower, compared to in-service nurses. In addition, the mean observance of employment rights was lower in in-service nurses, compared to the other participants.

In this study, we evaluated the occupational performance of two groups of in-service and permanent nurses in seven dimensions. According to the results, there was a significant difference between the two groups regarding all mentioned dimensions, meaning that all variables of ability, understanding and awareness of work, cooperation, job motivation and desire, the level of job accountability and environmental factors affecting the activities of nurses were higher in the in-service group. Nevertheless, the dimension of observance of employment rights was higher in the permanent group, compared to the other group. It is recommended that special attention be paid to these seven dimensions by nursing managers to improve the quality of nurses’ performance.