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Registered nurses' use of research findings in the care of older people

JOURNAL OF CLINICAL NURSING 2009年第10期18卷 1430-1441页

作者： Bostrom, Anne-Marie Kajermo, Kerstin Nilsson Nordstrom, Gun Wallin, Lars Karolinska Inst Dept Neurobiol Care Sci & Soc Div Nursing Stockholm Sweden Karolinska Univ Hosp CRU Stockholm Sweden Karlstad Univ Dept Nursing Karlstad Sweden

To describe registered nurses' reported use of research in the care of older people and to examine associations between research use and factors related to the elements: the communication channels, the adopter and the social system. Research use among registered nurses working in hospital settings has been reported in many studies. Few studies, however, have explored the use of research among registered nurses working in the care of older people. A cross-sectional survey. In eight municipalities, all registered nurses (n = 210) working in older people care were invited to participate (response rate 67%). The Research Utilisation Questionnaire was adopted. Questions concerning the work organisation and research-related resources were sent to the Community Chief Nurse at each municipality. Descriptive statistics and logistic regression were applied. The registered nurses reported a relatively low use of research findings in daily practice, despite reporting a positive attitude to research. The registered nurses reported lack of access to research reports at the work place and that they had little support from unit managers and colleagues. Registered nurses working in municipalities with access to research-related resources reported more use of research than registered nurses without resources. The factors 'Access to research findings at work place', 'Positive attitudes to research' and 'Nursing programme at university level' were significantly associated with research use. There is a great potential to increase registered nurses' use of research findings in the care of older people. Factors which were linked to the communication channels and the adopter were associated with research use. Strategies to enhance research use should focus on access to and adequate training in using information sources, increased knowledge on research methodology and nursing science and a supportive organisation.

关键词： diffusion of innovations logistic regression model nurses nursing older people care registered nurses

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Empirical Study of the Financial Risk Management Based on Multivariate Statistical Techniques

Empirical Study of the Financial Risk Management Based on Mu...

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International Seminar on Business and Information Management (ISBIM 2008)

作者： Chen, YanLi Wu, FengPing HoHai Univ Sch Business ChangZhou Peoples R China HoHai Univ Sch Business Nanjing Peoples R China

ISBN: (纸本)9780769535609

Financial crisis early warning analysis is important for enterprises, commercial banks and various investors. The aim of my study was to determine if the logistic multi-regression model enhances the efficiency veracity of financial crisis early warning. In this thesis, the author choose 63 A stock companies, which are marked ST companies because of abnormal financial standing in Shanghai and Shenzhen in 2006, form the financial crisis sample, and choose some similar sized listed companies in same industry as matching sample, Finding index of remarkably distinct the financial crisis company and the non-financial crisis company through analyzing financial indexes of the listed companies. Taking the index of property liabilities ratio, audit opinion, finance lever ratio, gross property net profit ratio, sales revenue growth ratio and cash flux to current liability ratio as the final variants, set up the logistic multi-regression model, conduct the case analysis of financial crisis early warning. The empirical results show that logistic regression model help to improve the efficiency of financial crisis early warning.

关键词： listed companies financial crisis early warning logistic regression model financial index audit opinion

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Study of Credit Risk for Capital-Intensive Industries based on logistic model

Study of Credit Risk for Capital-Intensive Industries based ...

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2nd International Conference on Information Management, Innovation Management and Industrial Engineering

作者： Zhang, Lingying Deng, Xiaojie Shenzhen Univ Harbin Inst Technol Shenzhen Grad Sch Coll Management Shenzhen Peoples R China Shenzhen Univ Coll Management Shenzhen Peoples R China

ISBN: (纸本)9780769538761

Credit risk assessment of companies has been an important part of the study on risk management for a long time, especially for the default risk of companies with a high liability to asset rate. In this paper, we use factor analysis method to establish a logistic regression model and make an empirical analysis on the credit risk of listed companies of Capital-Intensive Industries. The results show that long-term pay ability, cash flow factor, profitability, and sales ability have the greatest influence on credit risk assessment, and the next come the short-term liquidity and asset-liability. By the inspection of testing samples, it is proved that this logistic model is effective for credit risk assessment because of its high accuracy and reliable recognition, good prediction and generalization ability.

关键词： Credit risk Factor analysis logistic regression model Default probability

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Risk factors of vomiting among females on patient-controlled epidural analgesia

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Journal of the Chinese Medical Association 2009年第4期72卷 183-187页

作者： Chen, Yu-Ju Chang, Kuang-Yi Tsou, Mei-Yung Lin, Shih-Pin Chan, Kwok-Hon Ting, Chien-Kun Department of Anesthesiology Taipei Veterans General Hospital Taipei 112 201 Section 2 Shih-Pai Road Taiwan National Yang-Ming University School of Medicine Taipei Taiwan Division of Biostatistics College of Public Health National Taiwan University Taipei Taiwan Institute of Biomedical Engineering National Yang-Ming University Taipei Taiwan

Background: Postoperative pain and postoperative vomiting (POV) are both sources of distress in the postoperative period. Patient-controlled epidural analgesia (PCEA) is used in patients undergoing lower extremity surgery to improve postoperative quality but is accompanied by a certain incidence of vomiting. We wanted to determine the risk factors of POV in patients using PCEA with the aim of improving the quality of the postoperative period. Methods: We conducted a retrospective study to analyze the risk factors among patients using PCEA after lower-limb surgery under regional anesthesia. A total of 195 patients (91 males, 104 females) were enrolled. They were categorized into 2 groups: vomiting and non-vomiting. We found that female gender predominated in the vomiting group. Hence, we analyzed the female subgroup in order to find the risk factors of vomiting in the female PCEA population. Results: Female gender was the most significant factor related to vomiting (crude OR, 1155;95% CI, 4.88-27.33). From analysis of the female subgroup, puncture site (OR, 4.07;95% CI, 1.41-11.79), catheter length in the epidural space (OR, 0.28;95% CI, 0.16-0.50) and patient's height (OR, 1.07;95% CI, 1.00-1.14) were also factors for vomiting, i.e. higher epidural catheter puncture site, shorter length in the epidural space, and greater height caused a higher incidence of POV. Conclusion: The most important risk factor for POV in patients using PCEA was female gender. Among the female subgroup, the risk factors for POV included higher epidural catheter puncture site, shorter length in the epidural space and greater body height. © 2009 Elsevier. All rights reserved.

关键词： Epidural analgesia Epidural catheter logistic regression model Patient-controlled analgesia Postoperative vomiting

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modeling and characterization of potato quality by active thermography

Modeling and characterization of potato quality by active th...

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作者： Sun, Chih-Chen Texas A&M University

This research focuses on characterizing a potato with extra sugar content and identifying the location and depth of the extra sugar content using the active thermography imaging technique. The extra sugar content of the potato is an important problem for potato growers and potato chip manufacturers. Extra sugar content could result in diseases or wounds in the potato tuber. In general, potato tubers with low sugar content are considered as having a higher quality. The inspection system and general methodologies characterizing extra sugar content will be presented in this study. The average heating rate obtained from the thermal image analysis is the major factor in characterization procedures. Using information on the average heating rate, the probability of achieving a potato with extra sugar content may be predicted using the logistic regression model. In addition, neural networks are also used to identify the potato with extra sugar contents. The correct rate for identifying a potato with extra sugar content in it can reach 85%. The location of extra sugar content can also be found using the logistic regression model. Results show the overall correct rate predicting the extra sugar content location with a resolution of 20 by 20 pixels is 91%. In predicting the extra sugar content depth, amounts exceeds 2/3 inches are not detectable by analyzing thermal images. The depth of extra sugar content can be discriminated in 0.3 inch increments with a high rate of accuracy (87.5%).

关键词： thermography logistic regression model potato Book Thesis

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Phi-divergence statistics for testing linear hypotheses in logistic regression models

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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2008年第4期37卷 494-507页

作者： Menendez, Maria Luisa Pardo, Julio Angel Pardo, Leandro Univ Complutense Madrid Dept Stat & Operat Res 1 Madrid 28040 Spain Teeh Univ Madrid ETSAM Dept Appl Mathemat Madrid Spain

In this paper we introduce and study two new families of statistics for the problem of testing linear combinations of the parameters in logistic regression models. These families are based on the phi-divergence measures. One of them includes the classical likelihood ratio statistic and the other the classical Pearson's statistic for this problem. It is interesting to note that the vector of unknown parameters, in the two new families of phi-divergence statistics considered in this paper, is estimated using the minimum phi-divergence estimator instead of the maximum likelihood estimator. Minimum phi-divergence estimators are a natural extension of the maximum likelihood estimator.

关键词： general linear hypotheses logistic regression model minimum phi-divergence estimator phi-divergence statistic

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A Study on the Health Factors of Infant and Child Mortality in Rajshahi, Bangladesh

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Asian Journal of Medical Sciences 2009年第3期1卷 82-87页

作者： K. Hossain N. I. Mondal Department of Population Science and Human Resource Development University of Rajshahi

The aim of this study is to identify the important health factors that influenced infant and child mortality in Rajshahi district, Bangladesh. Data have been collected through a structured questionnaire under a project of UNFPA, using purposive sampling technique. Well known statistical tools chi-square (χ2) test, and logistic regression are used to analyze the data. The study results reveal that health related variables such as immunization practices, treatment facilities, delivery systems, and regular checkup of mothers and babies health condition among a set of selected variables which affect infant and child mortality. The χ2-test result implies that immunization practices and mother’s and children’s health checkup, place of maternal delivery and place of treatment are significantly associated with infant and child mortality. Multivariate analysis results are also confirmed the same result as seen in χ2 test evaluation. It is evident from the study that the child had 62.50% lower risk of death who were immunized than that of who were never immunized, and also the risk of infant mortality was 95.10% lower among those who had to take their treatment from a specialist doctor. Therefore, we should give attention to the expansion of public health system in order to reduce the risk of infant and child mortality in *** aim of this study is to identify the important health factors that influenced infant and child mortality in Rajshahi district, Bangladesh. Data have been collected through a structured questionnaire under a project of UNFPA, using purposive sampling technique. Well known statistical tools chi-square (χ2) test, and logistic regression are used to analyze the data. The study results reveal that health related variables such as immunization practices, treatment facilities, delivery systems, and regular checkup of mothers and babies health condition among a set of selected variables which affect infant and child mortality. The χ2-test result impli

关键词： Neonatal mortality infant and child mortality infant and child mortality logistic regression model

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Factors Influencing Infant and Child Mortality: A Case Study of Rajshahi District, Bangladesh

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Journal of Human Ecology 2009年第1期26卷 31-39页

The main purpose of this study is to observe the influencing factors on infant and child mortality of suburban and rural areas of Rajshahi District, Bangladesh. Primary data have been used to examine the differential patterns of infant and child mortality. A multivariate technique is employed to investigate the effects of those variables both socioeconomic and demographic on infant and child mortality. The study results reveal that several socioeconomic, demographic and health related variables affect on infant and child mortality. Multivariate analysis results indicate that the most significant predictors of neonatal, post-neonatal, and child mortality levels are immunization, ever breastfeeding, mother’s age at birth and birth interval. Again, the risk of child mortality is 78.20% lower among the immunized child than never immunized child and also the risk of neonatal mortality is 57.70% lower after a birth interval of 36 months and above than under 18 months. Parents’ education, toilet facilities and treatment places are significant predictors during neonatal and childhood period but father’s occupation is significant at post-neonatal periods. For instance, risk of neonatal mortality is 31.40% lower among the women having primary education and 52.30% lower among the women having secondary and higher education than those having no education. It is observed that the risk of child mortality 32.00% lower among the household having hygienic toilet facility than those who have not such facilities. Similarly, risk of child mortality decreased with increased female education and wider access to safe treatment places. So, attention should be given to female education and expansion of public health system for reducing the risk of infant and child mortality.

关键词： Neonatal Mortality Post-Neonatal Mortality Child Mortality logistic regression model Relative Risk (Odds Ratio)

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Second-day discharge from the ICU after non-emergency cardiac surgery

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Critical Care 2009年第1期13卷 1-2页

作者： L Vanfleteren P Vandeneynde T Vu G Van den Berghe G Meyfroidt UZ Leuven Leuven Belgium

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Neural networks for modeling gene-gene interactions in association studies

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BMC GENETICS 2009年第1期10卷 87-87页

作者： Guenther, Frauke Wawro, Nina Bammann, Karin Univ Bremen Bremen Inst Prevent Res & Social Med BIPS D-28359 Bremen Germany

Background: Our aim is to investigate the ability of neural networks to model different two-locus disease models. We conduct a simulation study to compare neural networks with two standard methods, namely logistic regression models and multifactor dimensionality reduction. One hundred data sets are generated for each of six two-locus disease models, which are considered in a low and in a high risk scenario. Two models represent independence, one is a multiplicative model, and three models are epistatic. For each data set, six neural networks (with up to five hidden neurons) and five logistic regression models (the null model, three main effect models, and the full model) with two different codings for the genotype information are fitted. Additionally, the multifactor dimensionality reduction approach is applied. Results: The results show that neural networks are more successful in modeling the structure of the underlying disease model than logistic regression models in most of the investigated situations. In our simulation study, neither logistic regression nor multifactor dimensionality reduction are able to correctly identify biological interaction. Conclusions: Neural networks are a promising tool to handle complex data situations. However, further research is necessary concerning the interpretation of their parameters.

关键词： Neural Network logistic regression model Hide Layer Design Variable Biological Interaction

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