• 제목/요약/키워드: Review variance

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의료 인력의 확보가 환자 입원일수에 미치는 영향 (The Effects of Medical Staffing Level on Length of Stay)

  • 이한주;고유경;김미원
    • 간호행정학회지
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    • 제17권3호
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    • pp.327-335
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    • 2011
  • Purpose: The objective of this study was to analyze the effects of medical staffing level as bed-to-medical staff ratio on patient outcomes as length of stay (LOS) among hospitals in Korea. Methods: Two hundred and fifty one hospitals participated in the study between January and March 2008. Data for the study was requested by an electronic data interchange from the Health Insurance Review Agency in 2008. In data analysis, SPSS WIN 15.0 program was utilized for descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression. Results: The mean score for length of stay was 13.6 days. The mean of operating bed-to-nurse ratio was 7.93:1. The predicting factors for LOS were bed-to-nurse's aide ratio, bed-to doctor's ratio, severely ill patient rate, and hospital type. These factors explained 28.9% of the variance in patient outcomes. Conclusion: This study results indicate that the relationship between medical staffing level and patient outcomes is important in the improvement of the quality of patient care. Thus, improvements in the quality of the nurse practice environment could improve patient outcomes for hospitalized patients.

물류예측모형에 관한 연구 -수도권 물동량 예측을 중심으로- (A Study on Change of Logistics in the region of Seoul, Incheon, Kyunggi)

  • 노경호
    • 경영과정보연구
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    • 제7권
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    • pp.427-450
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    • 2001
  • This research suggests the estimation methodology of Logistics. This paper elucidates the main problems associated with estimation in the regression model. We review the methods for estimating the parameters in the model and introduce a modified procedure in which all models are fitted and combined to construct a combination of estimates. The resulting estimators are found to be as efficient as the maximum likelihood (ML) estimators in various cases. Our method requires more computations but has an advantage for large data sets. Also, it enables to detect particular features in the data structure. Examples of real data are used to illustrate the properties of the estimators. The backgrounds of estimation of logistic regression model is the increasing logistic environment importance today. In the first phase, we conduct an exploratory study to discuss 9 independent variables. In the second phase, we try to find the fittest logistic regression model. In the third phase, we calculate the logistic estimation using logistic regression model. The parameters of logistic regression model were estimated using ordinary least squares regression. The standard assumptions of OLS estimation were tested. The calculated value of the F-statistics for the logistic regression model is significant at the 5% level. The logistic regression model also explains a significant amount of variance in the dependent variable. The parameter estimates of the logistic regression model with t-statistics in parentheses are presented in Table. The object of this paper is to find the best logistic regression model to estimate the comparative accurate logistics.

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모바일 기반 수학 학습 어플리케이션 개발 및 활용 방안 (Development and Application of Mobile-Based Math Learning Application)

  • 김부미
    • 대한수학교육학회지:학교수학
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    • 제19권3호
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    • pp.593-615
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    • 2017
  • 본 연구에서는 학교 수학의 내용을 담아낸 모바일 기반 수학 학습 어플리케이션을 개발하고, 이를 수학 교수 학습 상황에서 활용할 수 있는 방안을 모색하였다. 먼저, 중학교 수학의 '이차함수와 그래프', '대푯값과 산포도' 단원에서 조작을 통한 개념 탐구와 토론 학습이 가능하도록 어플리케이션 <중3수학교실>을 안드로이드 버전으로 수학교육 전문가, 수학 교사, 컴퓨터공학 전문가, 디지털 애니메이션 감독과 협업하여 개발하였다. 이때, 예비교사의 도움을 받아 중학교 3학년 남녀 학생 4명을 대상으로 개발한 어플리케이션을 적용하여 그 활용가능성을 검증하였다. 또한, 수학 수업에 어플리케이션을 활용하는 교수 학습 지도안과 어플리케이션 활용 매뉴얼을 개발하고 중학교 3학년 1개 학급을 대상으로 사례 연구를 실시하여 그 현장 적용 가능성을 모색하였다.

한국형진단명기준환자군 분류체계의 동질성 평가 (Evaluation of the Homogeneity of Korean Diagnosis Related Groups)

  • 김형선;이선희;남정모
    • 보건행정학회지
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    • 제23권1호
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    • pp.44-51
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    • 2013
  • Background: This study designed to evaluate the homogeneity of Korean diagnosis related group (KDRG) version 3.4 classification system. Methods: The total 5,921,873 claims data submitted to the Health Insurance Review and Assessment Service during 2010 were used. Both coefficient of variation (CV) and reduction in variance of cost were measured for evaluation. This analysis was divided into before and after trimming outliers at the level of adjacent DRG (ADRG), aged ADRG (AADRG) split by age, and DRG split by complication and comorbidity. Results: At the each three level of ADRG, AADRG, and DRG, there were 38.9%, 38.7%, and 30.0% of which had a CV > 100% in the untrimmed data and there were 1.4%, 1.4%, and 1.9% in the trimmed one. Before trimming outliers, ADRGs explained 52.5% of the variability in resource use, AADRGs did 53.1% and DRGs did 57.1%. The additional explanatory power by age and comorbidity and complication (CC) split were 0.6%p and 4.6%p for each, which were statistically significant. After trimming outliers, ADRGs explained 75.2% of the variability in resource use, AADRGs did 75.6%, and DRGs did 77.1%. The additional explanatory power were 0.4%p and 2.0%p for each, which were statistically significant too. Conclusion: The results demonstrated that KDRG showed high homogeneity within groups and performance after trimming outliers. But there were DRGs CV > 100% after age or CC split and the most contributing factor to high performance of KDRG was the ADRG rather than age or CC split. Therefore, it is recommended that the efforts for improving clinical homogeneity of KDRG such as review of the hierarchical structure of classification systems and classification variables.

Impact of the extent of resection of neuroendocrine tumor liver metastases on survival: A systematic review and meta-analysis

  • Rugved Kulkarni;Irfan Kabir;James Hodson;Syed Raza;Tahir Shah;Sanjay Pandanaboyana;Bobby V. M. Dasari
    • 한국간담췌외과학회지
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    • 제26권1호
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    • pp.31-39
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    • 2022
  • In patients with neuroendocrine tumors with liver metastases (NETLMs), complete resection of both the primary and liver metastases is a potentially curative option. When complete resection is not possible, debulking of the tumour burden has been proposed to prolong survival. The objective of this systematic review was to evaluate the effect of curative surgery (R0-R1) and debulking surgery (R2) on overall survival (OS) in NETLMs. For the subgroup of R2 resections, outcomes were compared by the degree of hepatic debulking (≥ 90% or ≥ 70%). A systematic review of the literature was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines using PubMed, Medline, CINAHL, Cochrane, and Embase databases. Hazard ratios (HRs) were estimated for each study and pooled using a random-effects inverse-variance meta-analysis model. Of 538 articles retrieved, 11 studies (1,729 patients) reported comparisons between curative and debulking surgeries. After pooling these studies, OS was found to be significantly shorter in debulking resections, with an HR of 3.49 (95% confidence interval, 2.70-4.51; p < 0.001). Five studies (654 patients) compared outcomes between ≥ 90% and ≥ 70% hepatic debulking approaches. Whilst these studies reported a tendency for OS and progression-free survival to be shorter in those with a lower degree of debulking, they did not report sufficient data for this to be assessed in a formal meta-analysis. In patients with NETLM, OS following surgical resection is the best to achieve R0-R1 resection. There is also evidence for a progressive reduction in survival benefit with lesser debulking of tumour load.

초등학생이 일상생활 중 경험하는 스트레스 측정 도구 개발 (The Development of a Stress Measurement Tool for School Children in Chon-buk Area)

  • 정승희;정영숙
    • 한국학교보건학회지
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    • 제11권2호
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    • pp.279-284
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    • 1998
  • The purpose of this study was to propose the baseline data for the development of a stress measurement tool for primary school students. The data were collected from 650 students from four primary schools in the Chon-buk area from April 1 to May 30, 1995. Through a pretest and literature review a questionaire was designed with 57 stressors experienced by school children in daily life. Reliability of the tool was tested by a Cronbach's alpha and the result was ${\alpha}=.9137$. Factor analysis was applied to organize the 57 items together. As the result, 8 factors were obtained and these factors explained 40% of the variance. The 8 factors were: 1) Life events related to family, 2) Conflict related to friend & senior or junior, 3) Educational attitude of parents, 4) Own personality, 5) School life events, 6) Scolding by teacher and parent, 7) Conflict with interpersonal relationship, and 8) Change of situation.

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간호학 프로그램 학습성과 간접측정 도구개발 (Development of Program Outcome Self-Assessment Tool in Korean Nursing Baccalaureate Education)

  • 김현경
    • 한국간호교육학회지
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    • 제21권2호
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    • pp.215-226
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    • 2015
  • Purpose: This study aimed to develop a self-assessment tool to evaluate program outcomes of nursing students in Korean nursing undergraduate education. Methods: The instrument development process consisted of literature review, focus group interviews, and item validation. A total of 117 items were analyzed through content validity testing. Data was gathered from 302 nursing students in Korea and analyzed using SPSS 21.0. Results: To construct validity, principal component analysis and Varimax rotation were used, and 12 factors, with a cumulative explanatory variance of 69.16%, were determined from 79 items. For internal consistency and reliability, Cronbach's ${\alpha}$ was .91. The half-split reliability results were .84 and .85, and the ROC curve showed an optimal cutpoint at 227. A five-point Likert scale was used for scoring. Conclusion: This instrument was found to have fair validity and reliability as a self-assessment tool for nursing student learning outcomes. Therefore, it can be used to evaluate program outcomes indirectly in nursing schools.

최적 실험계획법에 대한 Local Influence Approach 진단방법 (Local Influence Approach Diagnostics for Optimal Experimental Design)

  • 김영일
    • 응용통계연구
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    • 제4권2호
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    • pp.195-207
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    • 1991
  • 1986년 Cook 이 발표한 Local Influence Approach란 방법을 이용하여 최적 실험계획법에서 일반적으로 가정하는 등분산가정에 대한 민감도 분석을 수행할 수 있는 진단방법을 연구하 였다. D-최적계획법의 갖고 있는 제약조건을 부분적으로 완화시킬 수 있는 방안을 모색하 여 몇가지 예들에 적용시켜 보았다. 결론 및 이 방법에 대한 향후 연구과제에 대한 토의를 마지막절에 첨부하였다.

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모-태아상호작용신념 도구 개발 (Development of the Maternal-Fetal Interaction Belief Scale)

  • 한경자
    • Child Health Nursing Research
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    • 제13권3호
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    • pp.265-272
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    • 2007
  • Purpose: The purpose of this study was to develop a Maternal-Fetal Interaction Belief Scale (MFIBS). Method: The research design was a methodological study. The items generated for this scale were drawn from a comprehensive literature review. Content validity was established for the MFIBS. The 26-item scale was developed to measure the construct of the MFIBS during pregnancy and tested on 186 pregnant women. Results: The final tool consist of 20 items which were sorted into 6 factors by factor analysis. The factors were identified as 'influence of pregnancy (5 items)', 'ability of fetus (3 items)', 'maternal-fetal interaction behavior (3 items)', 'practice of taegyo (3 items)', 'ability of infant (3 items)', and 'taemong (3 items)'. The six factors explained 62.37% of the total variance in the MFIBS. The Cronbach's alpha coefficient for internal consistency was .81 and the reliability of the subscales ranged from .60-.85 Guttman split-half coefficient was .66. Conclusions: This scale proves to be a effective, useful tool and suitable in Korean women for measuring the Maternal-Fetal Interaction Belief. Future studies are required for further refinement of the scale.

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Simple Compromise Strategies in Multivariate Stratification

  • Park, Inho
    • Communications for Statistical Applications and Methods
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    • 제20권2호
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    • pp.97-105
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    • 2013
  • Stratification (among other applications) is a popular technique used in survey practice to improve the accuracy of estimators. Its full potential benefit can be gained by the effective use of auxiliary variables in stratification related to survey variables. This paper focuses on the problem of stratum formation when multiple stratification variables are available. We first review a variance reduction strategy in the case of univariate stratification. We then discuss its use for multivariate situations in convenient and efficient ways using three methods: compromised measures of size, principal components analysis and a K-means clustering algorithm. We also consider three types of compromising factors to data when using these three methods. Finally, we compare their efficiency using data from MU281 Swedish municipality population.