Purpose: Falls are one of the most frequent health events in medical institutions, however, they can be predicted and prevented. The Quality Improvement Nurse Society clinical practice guideline Steering Committee developed the Clinical Practice Guideline for the assessment and prevention of falls in adult people. The purpose of this study was to assess the risk factors for falls in adults aged 19 years and older, to present an evidence for preventing falls, formulate a recommendations, and indicators for applying the recommendations. Methods: This clinical practice guideline was developed using a 23-step adaptation method according to the Handbook for clinical practice guideline developer (version 1.0) by National Evidence-based Healthcare Collaborating Agency. Evidence levels and recommendation ratings were established in accordance to SIGN 2011 (The Scottish Intercollegiate Guidelines Network). Results: The final 15 recommendations from four domains were derived from experts' advice; 1) assessment of risk factor for falls in adult 2) preventing falls and reducing the risks of falls or falls-related injury 3) management and reassessment after a person falls 4) leadership and culture. Conclusion: This clinical practice guideline can be used as a basis for evaluation and prevention of fall risk factors for adults, to formulate recommendations for fall risk assessment and fall prevention, and to present monitoring indicators for applying the recommendations.
Jung, Seulgi;Kim, Yoojin;Park, Jeongok;Choi, Miyoung;Kim, Sue
Women's Health Nursing
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v.27
no.2
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pp.75-92
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2021
Purpose: This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM). Methods: The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality. Results: Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels. Conclusion: Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.
Purpose: This study aimed to identify the risk factors for diabetic foot ulceration (DFU) to develop and evaluate the performance of a DFU prediction model and nomogram among people with diabetes mellitus (DM). Methods: This unmatched case-control study was conducted with 379 adult patients (118 patients with DM and 261 controls) from four general hospitals in South Korea. Data were collected through a structured questionnaire, foot examination, and review of patients' electronic health records. Multiple logistic regression analysis was performed to build the DFU prediction model and nomogram. Further, their performance was analyzed using the Lemeshow-Hosmer test, concordance statistic (C-statistic), and sensitivity/specificity analyses in training and test samples. Results: The prediction model was based on risk factors including previous foot ulcer or amputation, peripheral vascular disease, peripheral neuropathy, current smoking, and chronic kidney disease. The calibration of the DFU nomogram was appropriate (χ2 = 5.85, p = .321). The C-statistic of the DFU nomogram was .95 (95% confidence interval .93~.97) for both the training and test samples. For clinical usefulness, the sensitivity and specificity obtained were 88.5% and 85.7%, respectively at 110 points in the training sample. The performance of the nomogram was better in male patients or those having DM for more than 10 years. Conclusion: The nomogram of the DFU prediction model shows good performance, and is thereby recommended for monitoring the risk of DFU and preventing the occurrence of DFU in people with DM.
Journal of the Korea Institute of Information and Communication Engineering
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v.24
no.9
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pp.1209-1214
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2020
With the recent aging age, people's interest in healthy life is increasing. People are causing adult diseases or an increasing number of obese populations due to poor lifestyles, eating habits, and poor physical activity. Accordingly, skin beauty research is being conducted using medical information in the information and communication field. Existing systems have not been able to provide smooth information because they are not expressed in combination with various related measurement items. The system proposed in this paper scans the user's body shape using a 3D scanner and a skin care device, calculates the BMI (Body Mass Index) index using 3D image data, and allows you to view the collected data at a glance. Provide a service system. This will provide the user with the content managed by comparing and providing the continuous body change data. It is expected to be widely used in various U-health and beauty fields.
Journal of Dental Rehabilitation and Applied Science
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v.36
no.4
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pp.203-210
/
2020
By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.
Purpose : This study aimed to identify the status of intrahospital transport (IHT) of critically ill patients and provide baseline data to form recommendations for safer transport. Methods : Data were collected from 141 intensive care unit (ICU) nurses who attended national conferences between February and August, 2018. The collected data were analyzed using descriptive statistics and ANOVA, and post-hoc analysis was conducted with the Scheffé and Games-Howell tests. Results : Of the nurses surveyed, 61.7% answered that their workplace had a transport guideline. In terms of the experience of ICU nurses, 31.2% of respondents answered that they had received training on IHT. This result indicated that the degree of implementation of the guidelines for IHT was generally high, but some, including guidelines on personnel, equipment, and monitoring, were not. Guidelines of IHT were well observed when the institutes had specific guidelines for IHT of critically ill patients with specified transport grades, a scoring system to assess stability of a patient, a checklist and a protocol for action in case of problems, and when healthcare providers were provided with training. Conclusion : These results suggest that organized infrastructure, such as a transport guideline with transport grades, a checklist to improve the implementation of guidelines, and a protocol for coping with a problem, should be provided for safe transport. Additionally, effective education and evaluation to improve the competency of staff participating in the transport of patients will help reduce the occurrence of adverse events in intensive care transport in hospitals and promote patient safety.
The emergence of new diseases such as the Covid 19 pandemic that occurs in the 21st century and the occurrence of health abnormalities according to the busy daily life of modern people are increasing. Accordingly, the importance of health care management and data-based health management is being highlighted, and in particular, interest in personal health management data based on personal health care data of patients is rapidly increasing. In this study, to solve the difficult problems of personal health management, we developed a personal health care platform incorporating IT for self-diagnosis and solution and developed an application that measures bio-signals generated in the human body and transmits them to the platform. A health management system was established. Through this, not only the health care of modern people, but also the psychological and emotional care support needs through psychological and emotional monitoring of the developmentally disabled and the vulnerable who have difficulty in expressing their opinions are to be addressed. In addition, the overall health and living environment data of the individual was integrated to develop an optimized medical and health management service for the individual.
Background: As prevention of coronavirus disease 2019 (COVID-19) transmission in healthcare settings has become a critical component in its effective management, COVID-19 specific infection prevention and control (IPC) guidelines were developed and implemented by numerous countries. Although largely based on the current evidence-base, guidelines show much heterogeneity, as they are influenced by respective health system capacities, epidemiological risk, and socioeconomic status. This study aims to analyze the variations and concurrences of these guidelines to draw policy implications for COVID-19 response and future guidelines development. Methods: The contents of the COVID-19 IPC guidelines were analyzed using the categories and codes developed based on "World Health Organization guidelines on core components." Data analysis involved reviewing, appraising and synthesizing data from guidelines, which were then arranged into categories and codes. Selection of countries was based on the country income level, availability of COVID-19 specific IPC guideline developed at a national or district level. Results: The guidelines particularly agreed on IPC measures regarding application of standard precautions and providing information to patients and visitors, monitoring and audit of IPC activities and staff illnesses, and management of built environment/equipments. The guidelines showed considerable differences in certain components, such as workplace safety measures and criteria for discontinuation of precautions. Several guidelines also contained unique features which enabled a more systematic response to COVID-19. Conclusion: The guidelines generally complied with the current evidence-based COVID-19 management but also revealed variances stemming from differences in local health system capacity. Several unique features should be considered for benchmark in future guidelines development.
Purpose: Nursing informatics competency is used to manage and improve the delivery of safe, high-quality, and efficient healthcare services in accordance with best practices and professional and regulatory standards. This study examined the relationship between nursing informatics competency (NIC), nursing care left undone, and nurse reported quality of care (NQoC) and nursing productivity. A path model for their effects on nursing productivity among clinical nurses was also established. Methods: Data were collected using structured questionnaires answered by 192 nurses working in a tertiary hospital located in J city, Korea, and analyzed using SPSS/WIN 23.0 and AMOS 21.0 program. Results: The fit indices of the alternative path model satisfied recommended levels χ2 = .11 (p = .741), normed χ2 (χ2 /df) = .11, SRMR = .01, RMSEA = .00, GFI = 1.00, NFI = 1.00, AIC = 18.11. Among the variables, NIC (β = .44, p < .001), NQoC (β = .35, p < .001) had a direct effect on nursing productivity. Due to the mediating effect of NQoC on the relationship between NIC and nursing productivity, the effect size was .14 (95% CI .08~.24). Meanwhile, nursing care left undone through NQoC in the relationship between NIC and nursing productivity, has a significant mediation effect (estimate .01, 95% CI .00~.03). The explanatory power of variables was 44.0%. Conclusion: Education and training for enhancing NIC should be provided to improve nursing productivity, quality of care and to reduce missed nursing care. Furthermore, monitoring the quality of nursing care and using it as a productivity index is essential.
The Journal of Korean Academic Society of Nursing Education
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v.29
no.3
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pp.292-301
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2023
Purpose: This study attempted to present a strategy to increase behavioral vaccination intention by identifying factors affecting parents' intention to have their children vaccinated against coronavirus disease 2019 (COVID-19) by applying the modified theory of planned behavior. Methods: An online survey was conducted with 146 parents of children aged 5 to 17 from August 1 to 30, 2022, and, as a result, 146 data were analyzed. The moderating effect of perceived behavioral control in the relationship between parents' attitude, subjective norms, and behavioral intention for children's COVID-19 vaccination was analyzed using the Process Macro (10,000 bootstrapping, 95% confidence interval), and a simple slope analysis was performed to identify differences by group. Results: The moderating effect of perceived behavioral control was statistically significant in the relationship between parent's attitude and subjective norms for COVID-19 vaccination and behavioral intention. In the simple slope analysis, the reinforcement effect was greatest when the level of perceived behavioral control was high. Conclusion: Since vaccination is most likely when recommended by healthcare providers, it is necessary to ensure that health education through community health experts or mass media can be effectively conducted. In particular, objective information on the effectiveness and safety of COVID-19 vaccinations for children, including monitoring of potential side-effects, should be actively reported.
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