• Title/Summary/Keyword: multilevel linear regression model

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Factors Affecting the Daily Charges in Patients with Lumbar Discectomy - A Comparison of linear regression versus Multilevel Modeling (요추 추간판제거술 환자의 일일진료비에 영향을 주는 요인 - 선형회귀와 다수준 선형회귀 모델의 비교)

  • Kim, Sang-Mi;Lee, Hae-Jong
    • Korea Journal of Hospital Management
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    • v.20 no.1
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    • pp.53-64
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    • 2015
  • Our objective was to evaluate differences in linear regression versus multilevel(cross-level interaction model) modeling for affecting factors lumbar discectomy. The data were used in 2011 patients with HIRA sample data. Total number of analysis is 3,641 patients and 248 hospitals. The results of research model showed that the type and location of the hospital-level factors were significant. However, all factors of patient-level were similar in the two models. Therefore, it requires the selection of an appropriate model for a more accurate analysis of the influencing factors in the daily medical charge.

Understanding and Application of Hierarchical Linear Model (위계적 선형모형의 이해와 활용)

  • Yu, Jeong Jin
    • Korean Journal of Child Studies
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    • v.27 no.3
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    • pp.169-187
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    • 2006
  • A hierarchical linear model(HLM) provides advantages over existing traditional statistical methods (e.g., ordinary least squares regression, repeated measures analysis of variance, etc.) for analyzing multilevel/longitudinal data or diary methods. HLM can gauge a more precise estimation of lower-level effects within higher-level units, as well as describe each individual's growth trajectory across time with improved estimation. This article 1) provides scholars who study children and families with an overview of HLM (i.e., statistical assumptions, advantages/disadvantages, etc.), 2) provides an empirical study to illustrate the application of HLM, and 3) discusses the application of HLM to the study of children and families. In addition, this article provided useful information on available articles and websites to enhance the reader's understanding of HLM.

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Influence of the Nursing Practice Environment on Job Satisfaction and Turnover Intention

  • Lee, Sang-Yi;Kim, Chul-Woung;Kang, Jeong-Hee;Yoon, Tae-Ho;Kim, Cheoul Sin
    • Journal of Preventive Medicine and Public Health
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    • v.47 no.5
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    • pp.258-265
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    • 2014
  • Objectives: To examine whether the nursing practice environment at the hospital-level affects the job satisfaction and turnover intention of hospital nurses. Methods: Among the 11 731 nurses who participated in the Korea Health and Medical Workers' Union's educational program, 5654 responded to our survey. Data from 3096 nurses working in 185 general inpatient wards at 60 hospitals were analyzed using multilevel logistic regression modeling. Results: Having a standardized nursing process (odds ratio [OR], 4.21; p<0.001), adequate nurse staffing (OR, 4.21; p<0.01), and good doctor-nurse relationship (OR, 4.15; p<0.01), which are hospital-level variables based on the Korean General Inpatients Unit Nursing Work Index (KGU-NWI), were significantly related to nurses' job satisfaction. However, no hospital-level variable from the KGU-NWI was significantly related to nurses' turnover intention. Conclusions: Favorable nursing practice environments are associated with job satisfaction among nurses. In particular, having a standardized nursing process, adequate nurse staffing, and good doctor-nurse relationship were found to positively influence nurses' job satisfaction. However, the nursing practice environment was not related to nurses' turnover intention.

A Study on the Relationship between Individual Patient Behavior, Medical Care Level and Therapeutic Compliance: Community Health Survey (개인 건강행태 및 지역보건의료 수준과 치료순응의 관계: 지역사회 건강조사 바탕으로)

  • Kim, Young-Ran;Lee, Tae-Yong;Park, Chang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.104-115
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    • 2016
  • Objective: This study was conducted in order to investigate the effects of individual patient behavior regarding the health and medical care level on their therapeutic compliance for people diagnosed with high blood pressure by a physician, in order to evaluate the impact of treatment compliance. In this study, the therapeutic compliance was defined as the hypertension drug cure rate. The current blood pressure controls were persons about 30 years of age diagnosed with high blood pressure by their doctor one month fraction of the people who take more than 20 days (30 days). Methods: The data was analyzed by using the X2-test for different comparisons of the therapeutic compliance in the individual characteristics and using a two-stage multilevel logistic regression to identify the community variance of the related index of high blood pressure therapeutic compliance using the data from 229 adults over the age of 19 in a community health survey conducted in 2010. The Spss 18.0 statistical program was used with HLM 7 (hierarchical linear model) Results: It was found that the rate of therapeutic compliance was affected by the individual health behavior and health and medical care levels. Conclusion: In this study, although the odds ratio of the variable region of the high level of health care, I was able Unlike previous studies and focuses on the personal level of variation found variations in the local health care level was a significant. More studies on multilevel analysis are needed in the future considering regional level data.