• Title/Summary/Keyword: Clinical statistics

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The Convergence Influence of Clinical Performance Ability, Clinical Practice Satisfaction, and Emotional Intelligence on Nursing Professionalism of Nursing Students (간호대학생의 임상수행능력, 임상실습 만족도 및 감성지능이 간호전문직관에 미치는 융복합적 영향)

  • Kim, Ga-Ya
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.63-71
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    • 2022
  • The purpose of this study is a descriptive research study to understand to investigate the convergence effects of nursing students clinical performance ability, clinical practice satisfaction, and emotional intelligence on nursing professionalism. From November 10 to November 20, 2021, 132 fourth-year nursing students 132 students in 4th year nursing department were surveyed using a convenience sampling. The collected data were analyzed using descriptive statistics, t-test and ANOVA, Scheff'e test, Pearson correlation coefficient, and multiple regression analysis using SPSS Statistics 25.0. As a result of the study, factors affecting nursing professionalism were emotional intelligence(β=.46, p<.001), clinical performance (β=.18, p=.033), and clinical practice satisfaction(β=.18, p=.027) and the explanatory power of nursing professionals was 52%. Therefore, it is expected that it will be used as basic data for a program that can improve professional nursing values of nursing students through factors affecting professional nursing values.

Clinical Practice Stress and Burnout in Nursing Students: The Mediating Effect of Empathy (간호대학생의 임상실습스트레스와 소진과의 관계에서 공감의 매개효과)

  • Song, Yeoungsuk
    • The Journal of Korean Academic Society of Nursing Education
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    • v.24 no.4
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    • pp.406-414
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    • 2018
  • Purpose: The purpose of this paper was to examine the relationships between clinical practice stress and burnout, and the mediating role of empathy in nursing students. Methods: A cross-sectional research design was employed. One hundred seventeen nursing students completed questionnaires on clinical practice stress, empathy (perspective-taking, fantasy, empathic concern and personal distress) and burnout in December 2017. IBM SPSS Statistics 23 was used and descriptive statistics, frequency, Pearson correlation coefficient and multiple regression were conducted. Baron & Kenny method and Sobel test were adopted for analysis of the mediation effect (personal distress of empathy). Results: The mean scores of clinical practice stress and burnout were 3.45 and 43.09, and perspective-taking, fantasy, empathic concern and personal distress of empathy were 2.67, 2.42, 2.64 and 2.19, respectively. The highest relationship between clinical practice stress and empathy was personal distress of empathy (r=.32, p<.001). Burnout was positively associated with clinical practice stress and personal distress of empathy (r=.22, p=.015; r=.51, p<.001). Personal distress of empathy demonstrated a complete mediating effect on the relationship between clinical practice stress and burnout (Z=3.22, p=.001). Conclusion: These results showed that decreasing personal distress of empathy is important for nursing students, and may help in reducing clinical practice stress and burnout.

A Study on Null Hypothesis and Alternative Hypothesis, Reduction to Absurdity and Application of Bayesian Statistics in Korean Medicine Otolaryngology (임상연구방법론에서 귀무가설과 대립가설, 귀류법에 대한 고찰과 한방이비인후과에서 베이지안 통계학의 활용)

  • Nam, Seung-Pyo;Bae, Jae-Min;Kwon, Kang
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.32 no.4
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    • pp.41-61
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    • 2019
  • Background : The current medical statistics used in clinical research are the results of Fisher's significance test and the Neyman-Pearson hypothesis test, which were combined by psychologists. Also, in the philosophical background, it is related to Popper's falsificationism based hypothesis-deductive method and reduction to absurdity. Objectives : This study was designed to find complementary and alternative methods of null hypothesis and alternative hypothesis used for the clinical research methodology of Korean medicine otolaryngology. Methods : The body of this paper was divided into seven part. These are historical background, hypothesis test, hypothesis test method used in the design of clinical study, falsificationism and reduction to absurdity, problem and alternative method of the Neyman-Pearson hypothesis test, diagnosis example of sinusitis differentiation syndromes by Bayesian statistics. Through this process, we found out problems of frequentist statistics and suggested alternative methods. Result & Conclusion : As a solution to the problems of the null hypothesis and the alternative hypothesis, there are effects size, confidence interval, Bayesian statistics and Lakatos methodology of scientific research programmes.

A Nonparametric Test for Clinical Trial with Low Infection Rate

  • Mark C. K. Yang;Donguk Kim
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.707-722
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    • 1998
  • This paper evaluates a new clinical trial designs for low infection rate disease. This type of sparse disease reaction makes the traditional two sample t-test or Wilcoxon rank-sum test inefficient compared to a new test suggested. The new test, which is based solely on the larger changes, is shown to be more effective than existing method by simulation for small samples. However, this test can be shown to be connected to the locally most powerful rank test under certain practical conditions. This design is motivated in testing the treatment effects in periodontal disease research.

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The Necessity of Independent Data Monitoring Committee in Domestic Clinical Trials (현재 국내임상시험에서 독립적 자료모니터링위원회의 필요성)

  • Kang, Seung-Ho
    • The Korean Journal of Applied Statistics
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    • v.22 no.2
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    • pp.317-327
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    • 2009
  • In adaptive designs important components of clinical trials may be changed based on the results of interim analysis. Several international guidelines point out that such interim analysis should be performed by independent experts who do not participate in clinical trials when adaptive designs are used in therapeutic confirmatory clinical trials, and if not, it may cause bias. The international guidelines recommend the establishment of independent data monitoring committee for conducting interim analysis independently.

Factors influencing clinical nurses' advocacy for people with disability (장애인에 대한 임상간호사의 옹호간호 영향요인)

  • Jeon, Ji Young;Choi, Hyunkyung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.26 no.3
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    • pp.269-280
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    • 2020
  • Purpose: Clinical nurses are the ideal health care providers to advocate for vulnerable and underserved populations such as people with disability. This study aimed to understand factors influencing nursing advocacy for people with disability among clinical nurses. Methods: The subjects of this study were 186 clinical nurses who were working in three hospitals in B and D cities. Self-report questionnaires were used to collect the data. Data were analyzed using IBM SPSS Statistics 25 with descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression analysis. Results: Clinical experience and esthetical nursing competency have positive correlations with nursing advocacy, and optimism-human rights has a negative correlation with nursing advocacy. Factors influencing nursing advocacy for people with disability were identified as patient directivity (β=0.36, p=.001), optimism-human rights (β=-0.18, p=.008) and clinical experience (≥10) (β=0.14, p=.036). The final model consisting of these factors explained 19% of the variance of nursing advocacy (F=14.99, p=.001). Conclusion: The findings of this study indicate the importance of developing and implementing nursing interventions that can improve patient directivity and optimism-human rights toward people with disability among clinical nurses. These nursing advocacy interventions can be provided as part of continuing education as well as the nursing curriculum.

Development and Effectiveness of a Smartphone Application for Clinical Practice Orientation

  • Park, Jung-Ha;Lee, Yun-Bok;Seo, Youn-Sook;Choi, Jung-Hoon
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.107-115
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    • 2021
  • This paper presents a smartphone application for the clinical practice education conducted in hospitals, with an aim to evaluate its effectiveness. A nonequivalent control group posttest design was used, which included a total of 100 nursing of school students who conducted their clinical practice. They were divided into one control and one experimental group (50 students each). The control group was directly trained in the clinical practice orientation, and the experimental group was a group who self-learned the clinical practice orientation using a smartphone application. Research data were collected between March 5 and April 27, 2019. They were analyzed with descriptive statistics and independent t-test, using the SPSS Statistics Version 24. The smartphone application customized for the clinical practice education was implemented through the following four phases: analysis, design, development, and evaluation. The developed application was registered in Google Play (for Android apps) and Apple Store, and related information was provided, making it available for download. The study showed that the satisfaction with and self-confidence in learning differed significantly between the groups. However, technology acceptance and knowledge acquired through practice showed no statistically significant difference. The research results serve as basic data for applying smartphone applications as an educational method that can replace traditional modes of education, serving as a significant indicator of the education delivery method diversification.

Prognostic Evaluation of Categorical Platelet-based Indices Using Clustering Methods Based on the Monte Carlo Comparison for Hepatocellular Carcinoma

  • Guo, Pi;Shen, Shun-Li;Zhang, Qin;Zeng, Fang-Fang;Zhang, Wang-Jian;Hu, Xiao-Min;Zhang, Ding-Mei;Peng, Bao-Gang;Hao, Yuan-Tao
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.14
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    • pp.5721-5727
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    • 2014
  • Objectives: To evaluate the performance of clustering methods used in the prognostic assessment of categorical clinical data for hepatocellular carcinoma (HCC) patients in China, and establish a predictable prognostic nomogram for clinical decisions. Materials and Methods: A total of 332 newly diagnosed HCC patients treated with hepatic resection during 2006-2009 were enrolled. Patients were regularly followed up at outpatient clinics. Clustering methods including the Average linkage, k-modes, fuzzy k-modes, PAM, CLARA, protocluster, and ROCK were compared by Monte Carlo simulation, and the optimal method was applied to investigate the clustering pattern of the indices including platelet count, platelet/lymphocyte ratio (PLR) and serum aspartate aminotransferase activity/platelet count ratio index (APRI). Then the clustering variable, age group, tumor size, number of tumor and vascular invasion were studied in a multivariable Cox regression model. A prognostic nomogram was constructed for clinical decisions. Results: The ROCK was best in both the overlapping and non-overlapping cases performed to assess the prognostic value of platelet-based indices. Patients with categorical platelet-based indices significantly split across two clusters, and those with high values, had a high risk of HCC recurrence (hazard ratio [HR] 1.42, 95% CI 1.09-1.86; p<0.01). Tumor size, number of tumor and blood vessel invasion were also associated with high risk of HCC recurrence (all p< 0.01). The nomogram well predicted HCC patient survival at 3 and 5 years. Conclusions: A cluster of platelet-based indices combined with other clinical covariates could be used for prognosis evaluation in HCC.

Historical Controls, Data Banks, and Randomized Trials in Clinical Research: A Review

  • Fleming Thomas R.
    • 대한예방의학회:학술대회논문집
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    • 1994.02b
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    • pp.265-269
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    • 1994
  • A brief review is presented of the strengths and weaknesses of historical controls, data banks, and randomized trials in the evaluation of clinical treatment. Use of pre randomized versus postrandomized informed consent is discussed. Recommendations are made for the development of an appropriate clinical research strategy.

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Sample size calculation for comparing time-averaged responses in K-group repeated binary outcomes

  • Wang, Jijia;Zhang, Song;Ahn, Chul
    • Communications for Statistical Applications and Methods
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    • v.25 no.3
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    • pp.321-328
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    • 2018
  • In clinical trials with repeated measurements, the time-averaged difference (TAD) may provide a more powerful evaluation of treatment efficacy than the rate of changes over time when the treatment effect has rapid onset and repeated measurements continue across an extended period after a maximum effect is achieved (Overall and Doyle, Controlled Clinical Trials, 15, 100-123, 1994). The sample size formula has been investigated by many researchers for the evaluation of TAD in two treatment groups. For the evaluation of TAD in multi-arm trials, Zhang and Ahn (Computational Statistics & Data Analysis, 58, 283-291, 2013) and Lou et al. (Communications in Statistics-Theory and Methods, 46, 11204-11213, 2017b) developed the sample size formulas for continuous outcomes and count outcomes, respectively. In this paper, we derive a sample size formula to evaluate the TAD of the repeated binary outcomes in multi-arm trials using the generalized estimating equation approach. This proposed sample size formula accounts for various correlation structures and missing patterns (including a mixture of independent missing and monotone missing patterns) that are frequently encountered by practitioners in clinical trials. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of design parameters. The results show that the empirical powers and the empirical Type I errors are close to nominal levels. We illustrate our proposed method using a clinical trial example.