• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.191-202
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• 2019

The purpose of this study was to investigate the nursing behavior and delegation status of nursing hospital nurses and to provide basic data for improving the quality of medical services. The subjects of this study were data collected from July 26 to December 23, 2013, for 140 nurses with more than 3 years of experience in nursing hospitals. Collected data were analyzed by frequency analysis, mean and standard deviation, independent t-test and One way ANOVA of SPSS 20.0 statistical program. Collected data were analyzed by frequency analysis, mean and standard deviation, independent t-test and one way ANOVA of SPSS 20.0 statistical program.. As a result of this study, the case of delegation of nursing behavior was higher in case of no protocol of nursing delegation procedure than in case of having protocol. This study suggests that nursing practice of nursing hospital nurses can be a major factor in declining the quality of medical services in the absence of specified standards or procedures for delegation. Procedures, methods and guidelines are required.

• Safety and Health at Work
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• v.12 no.3
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• pp.304-310
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• 2021

Background: Healthcare settings have been recognized among the most hazardous places to work. Based on the five categories of occupational hazards that were identified by the ILO and WHO, this study aimed to analyze policy framework relevant to occupational health protection of health workers (HWs) in public health service in China, then discussed how to share the experience of the National Health Service (NHS) England for improvement. Methods: Based on policy learning theories, policy analysis and qualitative interview were used in this study. Results: In the Chinese public health service, at least five laws related to the regulation of occupational health protection for HWs; however, enforcement of relevant laws was separated and multi-centered; the national monitoring system, which targeted to occupational hazards and health outcome for HWs in China, had yet to be developed; the top three priorities were workplace violence, bloodborne pathogens, and musculoskeletal disorders; national strategies included Security Hospital, and Healthy China 2030. In NHS England, three laws were fundamental; several monitoring systems had been set up, including NHS Staff Survey, Commissioning for Quality and Innovation incentive scheme; mental health, musculoskeletal problem, and nutrition disorder and overweight were raised great concern; Health and Safety, and NHS Healthy Workforce Program were critical nationwide strategies. Conclusion: There were several similarities as well as differences between the Chinese public health system and NHS England, which laid foundation of learning by China. Recommendations of improving occupational health policies in China were provided, based on the lessons learned from the NHS England.

• Safety and Health at Work
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• v.11 no.4
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• pp.425-430
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• 2020

Background: Asbestos exposure is associated with the development of the cancer malignant mesothelioma (MM). Measurement of soluble mesothelin-related protein (SMRP) has been suggested as a method for detection of MM in its early stages. We prospectively examined SMRP levels in participants with asbestos exposure who are a group at a high risk of development of MM. Methods: This study was a follow-up of our cohort of 322 asbestos-exposed participants. No further participants developed MM or malignancy over the study period. Mean follow-up time was 22.9 months. Results: Mean (standard deviation) SMRP levels at baseline and follow-up were 0.94 (0.79) and 0.91 (0.86) nmol/L (p = 0.1033), respectively. Mean SMRP levels of the healthy individuals exposed to asbestos at baseline was significantly lower than those of participants with asbestosis and pleural plaques alone; similar patterns were found on follow-up measurements. There was a statistically significant effect of age on serial SMRP measurements. Our study confirms higher levels in participants with nonmalignant asbestos-related disorders. Levels decreased in asbestos-related disorders other than asbestosis, where a small increase was observed. We did not detect any further cases of malignancy. Conclusion: Monitoring programs for early detection of MM need to take into account increased SMRP levels found in benign asbestos-related diseases.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.273-277
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• 2018

This study attempted to describe the essential structure of lived experience of a students trans ferring into the nursing program. A study on the experience of students who have a major in this of health or who have experience in a medical institution is aimed at identifying the nature of incorporating nursing into each individual. The experiences were analyzed and the meaning of the experiences was understood by applying the phenomenolgical Analysis method of Colaizzi. The total number of people who majored in health care and five experienced medical institutions was nine, which resulted four themes and 14 central beauty. Based on the results of this study, it will provide basic materials for fostering professional nursing personnel at various nursing sites by understanding the nursing departments and experiences of students with experience in the health care system.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.387-392
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• 2018

Clinical trials are an important part of developing new medical devices or developing new drugs. However, it takes many time and expense to conduct clinical trials. In order to solve this problem, it define the standard format of the data collected in clinical trials in major countries and in Korea. Clinical trials are also underway in korean medicine to develop new medical devices. If it define the standards for the data we collect in clinical trials, there are likely to be a variety of ways to use them. If it collect and manage various clinical trial data as one standardized data, you will be able to draw various results. Based on these findings, we established a system for collecting and managing integrated data on clinical trials. And let's look at how to use it.

• Safety and Health at Work
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• v.10 no.2
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• pp.205-212
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• 2019

Background: Workforce health is one of the primary and most challenging issues, particularly in industrialized countries. This article aims at modeling the major factors affecting accidents in the workplace, including general health, work-family conflict, effort-reward imbalance, and internal and external locus of control. Methods: A cross-sectional study was conducted in Esfahan Steel Company in Iran. A total of 450 participants were divided into two groups-control and case-and the questionnaires were distributed among them. Data were collected through a 7-part questionnaire. Finally, the results were analyzed using SPSS 22.0 and Amos software. Results: All the studied variables had a significant relationship with the accident proneness. In the case group, general health with a coefficient of -0.37, worke-family conflict with 0.10, effort-reward imbalance with 0.10, internal locus of control with -0.07, and external locus of control with 0.40 had a direct effect on occupational stress. Occupational stress also had a positive direct effect on accident proneness with a coefficient of 0.47. In addition, fitness indices of control group showed general health (-0.35), worke-family conflict (0.36), effort-reward imbalance (0.13), internal locus of control (-0.15), and external locus of control (0.12) have a direct effect on occupational stress. Besides, occupational stress with a coefficient of 0.09 had a direct effect on accident proneness. Conclusion: It can be concluded that although previous studies and the present study showed the effect of stress on accident and accident proneness, some hidden and external factors such as work-family conflict, effort-reward imbalance, and external locus of control that affect stress should also be considered. It helps industries face less occupational stress and, consequently, less occurrence rates of accidents.

• Safety and Health at Work
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• v.10 no.3
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• pp.362-369
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• 2019

Background: Chronic nonspecific symptoms attributed to indoor nonindustrial work environments are common and may cause disability, but the medical nature of this disability is unclear. The aim was to medically characterize the disability manifested by chronic, recurrent symptoms and restrictions to work participation attributed to low-level indoor pollutants at workplace and whether the condition shares features with idiopathic environmental intolerance. Methods: We investigated 12 patients with indoor aire-related work disability. The examinations included somatic, psychological, and psychiatric evaluations as well as investigations of the autonomic nervous system, cortisol measurements, lung function, and allergy tests. We evaluated well-being, health, disability, insomnia, pain, anxiety, depression, and burnout via questionnaires. Results: The mean symptom history was 10.5 years; for disabling symptoms, 2.7 years. Eleven patients reported reactions triggered mainly by indoor molds, one by fragrances only. Ten reported sensitivity to odorous chemicals, and three, electric devices. Nearly all had co-occurrent somatic and psychiatric diagnoses and signs of pain, insomnia, burnout, and/or elevated sympathetic responses. Avoiding certain environments had led to restrictions in several life areas. On self-assessment scales, disability showed higher severity and anxiety showed lower severity than in physician assessments. Conclusion: No medical cause was found to explain the disability. Findings support that the condition is a form of idiopathic environmental intolerance and belongs to functional somatic syndromes. Instead of endless avoidance, rehabilitation approaches of functional somatic syndromes are applicable.

• Health Policy and Management
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• v.31 no.3
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• pp.292-300
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• 2021

Background: Medication adherence in hypertension is the most important to control blood pressure and prevent major complications. The purpose of this study was to identify factors affecting medication adherence and to examine the relationship between medication adherence and blood pressure control in Korea. Methods: This study used data from the 7th Korea national health and nutrition examination survey (2016-2018) of the Korea Disease Control and Prevention Agency. We selected 4,063 hypertensive patients from the data. And we choose socio-demographic, health behavior, healthcare utilization, and severity characteristics as hypertensive patient characteristics. Results: Of the patients with hypertension, 92.3% had shown adherence to medication as of 2016-2018 and shows variation according to the characteristic of patients. The cases with male, under 50 years old, urban area, single household, unmet medical services, less than 5 years of hypertension duration, no comorbidities (diabetes mellitus, myocardial infarction) showed significantly low medication adherence. After adjusting for confounders, adherent patients tended to have lower current systolic blood pressure (β=-10.846, p<0.001) and diastolic blood pressure (β=-5.018, p<0.001) than nonadherent patients. And, adherent patients increased the control odds of blood pressure compared with nonadherent patients (odds ratio, 3.02; 95% confidence interval, 2.21-4.12). Conclusion: This study confirmed that adherence to antihypertensive drugs was effective in controlling blood pressure. In order to more actively manage hypertensive patients at the national level, it is necessary to make an effort to improve the medication compliance of nonadherent groups, such as early-diagnosis patients, young patients under 50 years of age, and patients living alone.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.509-514
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• 2021

The pandemic of COVID-19 is driving the demand for non-face-to-face diagnosis, observation, and treatment in the healthcare environment, which has led to increased interest in helathcare robots. The authors intend to predict the direction in which the quarantine healthcare robots should be utilized in the post-corona era through analysis of national agency reports, on-offline press reports, and domestic and foreign robot company press releases. The COVID-19 pandemic has raised interest in medical robots. And there is a need to apply healthcare robots that can perform tasks such as disinfection, logistics transfer, screening tests, monitoring of patients, remote medical treatment support for isolated patients, and video calls with family members. Therefore, it is considered that future correct development and application of healthcare robots and empirical research to verify them should be continued based on sufficient consideration for various problems associated with the practical application of robots.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.