• 성인간호학회지
• /
• 제29권1호
• /
• pp.51-62
• /
• 2017

Purpose: The purpose of this study was to provide data about the risk factors related to falls among elderly patients with dementia using meta-analysis. Methods: Key words used for search through electronic database (CINAHL, PubMed, Ovid-MEDLINE, RISS, KISS, DBPIA, National Assembly Library) included 'dementia', 'Alzheimer', 'fall'. Twenty studies met the inclusion criteria for the meta-analysis and 'R' version 3.2.2 was used to analyze the correlated effect size. Results: Study results showed that risk factors related to falls were identified as the demographic (age, gender, education), dementia-related (disease duration, cognition), physical (body mass index, walking, balance, activity of daily living, use of walking aids, number of medications including psychotropic drugs, musculoskeletal problems, parkinsonism, comorbidity), psychological (neuropsychiatric symptom, depression), environmental (Physical environment), and fall-related (fall history, high risk group of fall) factors. The effect size of risk factors such as high risk group of fall (r=.35), use of walking aids (r=.33), depression (r=.31), psychotropic drugs (r=.27), Musculoskeletal problems (r=.25) were higher than the other risk factors. Conclusion: Based on the findings of this study, strategies to improve elderly patient's depression, intensive care for high risk group of fall, and adequate training with walking aids are needed for prevention of falls in elderly patients with dementia.

• Earthquakes and Structures
• /
• 제14권3호
• /
• pp.203-214
• /
• 2018

Predictive demand and collapse fragility functions are two essential components of the probabilistic seismic demand analysis that are commonly developed based on statistics with enormous, costly and time consuming data gathering. Although this approach might be justified for research purposes, it is not appealing for practical applications because of its computational cost. Thus, in this paper, Bayesian regression-based demand and collapse models are proposed to eliminate the need of time-consuming analyses. The demand model developed in the form of linear equation predicts overall maximum inter-story drift of the lowto mid-rise regular steel moment resisting frames (SMRFs), while the collapse model mathematically expressed by lognormal cumulative distribution function provides collapse occurrence probability for a given spectral acceleration at the fundamental period of the structure. Next, as an application, the proposed demand and collapse functions are implemented in a seismic fragility analysis to develop fragility and consequently seismic demand curves of three example buildings. The accuracy provided by utilization of the proposed models, with considering computation reduction, are compared with those directly obtained from Incremental Dynamic analysis, which is a computer-intensive procedure.

• 중환자간호학회지
• /
• 제13권3호
• /
• pp.11-23
• /
• 2020

Purpose : This study examined factors influencing the attitudes towards nurse-led defibrillation in the emergency department (ED) and intensive care unit (ICU). Methods : This was a cross-sectional study. A total of 212 nurses in the ED and ICU from three general hospitals responded to the survey. Data were collected between September and October 2015 using structured questionnaires. Independent t-test, Mann-Whitney U test, one-way analysis of variance (ANOVA), Pearson's correlation coefficient, and hierarchical multiple regression were used to analyze factors affecting nurses' attitudes towards nurse-led defibrillation. Results : The mean score of nurses' attitudes towards nurse-led defibrillation was 61.37 of a possible 91. Hierarchical multiple regression showed that nurses' attitudes towards nurse-led defibrillation were significantly affected by their experiences regarding cardiopulmonary resuscitation (p=.003), knowledge regarding electrocardiogram interpretation and defibrillation (p=.007), and tenure in ED or ICU (p=.043). Conclusion : Results indicate that employers should set policies to support nurses in maintaining their careers in the ED or ICU and conduct systematic educational programs for them. This will increase nurses' confidence in performing defibrillation, which will lead to early defibrillation during in-hospital cardiac arrest. Consequently, it can be a strategy to increase the survival rate of cardiac arrest patients.

• 대한간호학회지
• /
• 제43권2호
• /
• pp.185-193
• /
• 2013

Purpose: Simulation-based learning has become a powerful method to improve the quality of care and help students meet the challenges of increasingly complex clinical practice settings. The purpose of this study was to identify the learning effects using high-fidelity SimMan and multi-mode simulation. Methods: Participants in this study were 38 students who were enrolled in an intensive course for a major in nursing at R college. Collected data were analyzed using Chi-square, t-test, and independent t-test with the SPSS 18.0 for Windows Program. Results: There were no statistically significant differences in learning effects between high-fidelity SimMan and multi-mode simulation group. However, skills in clinical performance in the high-fidelity SimMan group were higher than in the multi-mode group (p=.014), communication in clinical performance in multi-mode simulation group was higher than in the high-fidelity SimMan group (p<.001). Conclusion: Multi-mode simulation with a standardized patient is an effective learning method in many ways compared to a high-fidelity simulator. These results suggest that multi-mode simulation be offered to students in nursing colleges which cannot afford to purchase a high-fidelity simulator, or offered as an alternative.

• Journal of Computing Science and Engineering
• /
• 제6권1호
• /
• pp.51-59
• /
• 2012

We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests and interventions, as well as inform prognosis. The Laboratory of Computational Physiology at the Massachusetts Institute of Technology developed and maintains MIMIC-II, a public deidentified high- resolution database of patients admitted to Beth Israel Deaconess Medical Center. It hosts teams of clinicians (nurses, doctors, pharmacists) and scientists (database engineers, modelers, epidemiologists) who translate the day-to-day questions during rounds that have no clear answers in the current medical literature into study designs, perform the modeling and the analysis and publish their findings. The studies fall into the following broad categories: identification and interrogation of practice variation, predictive modeling of clinical outcomes within patient subsets and comparative effectiveness research on diagnostic tests and therapeutic interventions. Clinical databases such as MIMIC-II, where recorded health care transactions - clinical decisions linked with patient outcomes - are constantly uploaded, become the centerpiece of a learning system.

• Asian Journal of Innovation and Policy
• /
• 제7권1호
• /
• pp.103-130
• /
• 2018

It is generally understood that clusters are the promoters of innovation and therefore, the attention of researchers has been increasingly to discern the factors driving innovation among the firms in a cluster, especially in a high-tech cluster. In this study, we identify the variables capturing the nature of a firm that possibly impact the absorptive capacity of a firm and subsequently ascertain their impact on the degree of interactions between a firm, and other firms and associated institutions within and outside a cluster, respectively. Furthermore, we probe the influence of these interactions as a whole on firm-level innovation. The study was carried out in the context of Bengaluru, which houses the densely interconnected network of innovation-intensive high-tech manufacturing firms forming a high-tech manufacturing cluster. Data were drawn from 101 high-tech manufacturing firms belonging to electronics, machine tools, electrical and pharmaceutical industries. Based on the cluster analysis and subsequent graphical analysis on each of the three profiled clusters, it was found that size and origin of a firm have significant impact on the degree of firm's interactions. In turn, higher dynamism of firms in terms of degree of interactions led to higher innovation performance.

• The Korean Journal of Pain
• /
• 제24권2호
• /
• pp.100-104
• /
• 2011

Background: Myofascial pain syndrome (MPS) is a regional musculoskeletal pain disorder that is caused by myofascial trigger points. The objective of this study was to determine the prevalence of MPS among chronic back pain patients, as well as to identify risk factors and the outcome of this disorder. Methods: This was a prospective observational study involving 126 patients who attended the Pain Management Unit for chronic back pain between 1st January 2009 and 31st December 2009. Data examined included demographic features of patients, duration of back pain, muscle(s) involved, primary diagnosis, treatment modality and response to treatment. Results: The prevalence of MPS among chronic back pain patients was 63.5% (n = 80). Secondary MPS was more common than primary MPS, making up 81.3% of the total MPS. There was an association between female gender and risk of developing MPS ($x^2$ = 5.38, P = 0.02, O.R. = 2.4). Occupation, body mass index and duration of back pain were not significantly associated with MPS occurrence. Repeated measures analysis showed significant changes (P < 0.001) in Visual Analogue Score (VAS) and Modified Oswestry Disability Score (MODS) with standard management during three consecutive visits at six-month intervals. Conclusions: MPS prevalence among chronic back pain patients was significantly high, with female gender being a significant risk factor. With proper diagnosis and expert management, MPS has a favourable outcome.

• 가정∙방문간호학회지
• /
• 제19권1호
• /
• pp.37-45
• /
• 2012

Purpose: This study was conducted in order to identify the brain injury patients's disability degree and educational needs of family caregivers. Methods: A convenience sample of 94 families with brain injury patients, who have been receiving treatment at the neurological intensive care unit and neurosurgery ward, were used. Data was collected with a self-report questionnaire from September 5 to November 28, 2011, and was analyzed using SAS program. Results: 'Defecation/urination' disability was the highest score of patient's physical disability and the next ranking was 'paralysis'. 'Memory impairment' disability was the highest score of patient's cognitive disability, and the next ranking was 'personality changes'. Overall, educational needs of family caregivers scored 4.15 out of the perfect score of 5. The factor, which scored highest, was 'information related with disease'. In addition, educational needs of family caregivers were positively related with patient's degree of. Conclusion: Educational needs of family caregivers are distinct, according to the disability degree of brain injury patient. Therefore, the study suggests the development of individualized educational program for family with brain injury patient.

• 한국조리학회지
• /
• 제23권4호
• /
• pp.43-55
• /
• 2017

The purpose of the study is to provide data for an efficient human resources management of hotel corporation by examining if the emotional intelligence with affective involvement and continuous involvement could impact work performance. For the field test and verification, the non-regular hotel staffs from November $1^{st}$ to $30^{th}$, 2016 were selected as the research objects. The research result is summarized as follows. First, the emotional intelligence of non-regular hotel staff impacted positively on affective involvement and continuous involvement. Second, the continuous involvement had a positive influence on work performance. Lastly, the emotional intelligence of non-regular hotel staff appeared to have a positive effect on the work performance. With this research, it may have an opportunity to utilize this study result as an educational material to enhance emotional intelligence of hotel corporation. In conclusion, it may need to introduce an emotional intelligence enhancement program in the hotel corporation. Also, in order to improve work performance, intensive efforts in organizational level would be required by enabling employees to make an affective involvement. Finally, to cope with rapidly changing circumstances, additional empirical study should be conducted that the affective involvement of non-regular hotel staff impacts the work performance.

• 대한수의학회지
• /
• 제39권6호
• /
• pp.1187-1196
• /
• 1999

The purpose of this study is to assess the suitability of the statistical techniques employed in papers published in the Korean Journal of Veterinary Research from March 1997 to March 1999 and it is hoped that the critical assessment may be of help to other researchers preparing their works for publication. Of the 246 original papers 94 were included in the analysis. Of 62 papers with the measure of central location and dispersion of data 34 (54.8%) used them correctly : 9 (39.1%) of 23 for t-test ; 1 (33.3%) of 3 for correlation analysis ; 7 (43.8%) of 16 for analysis of variance (ANOVA) ; 5 (62.5%) of 8 for chi-square test ; 44 (71%) of 62 for description of p-value. A number of papers employed ANOVA did not perform subsequent analysis of multiple comparison. Compared to the results of others, relatively higher proportion of papers in the present study was evaluated as appropriate analysis. The reason is that papers described insufficiently on the study design were not included, and evaluation items were restricted to the cases violated seriously inherent assumptions for each statistical technique. Statistical misuse or abuse appeared in the study is due to lack of knowledge on statistics and short of its importance for improvement the quality of paper. Because an inappropriate analysis can lead the readers to misunderstand on findings, observed statistical analyses must be valid, and correctly undertaken. It is suggested that more intensive statistical refereeing are needed, and the communication should be allowed for the controversial points.