996 resultados para Scientific Publication Indicators
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OBJECTIVE: Body composition measured by dual-energy X-ray absorptiometry (DXA) is believed to be superior to crude measures such as BMI or waist circumference (WC) to assess health risks associated with adiposity in adults. We compared the ability of BMI, WC, waist-to-height ratio (WHtR), percentage body fat from skinfold thickness, and measures of total and central fat assessed by DXA to identify children with elevated blood pressure (BP). STUDY DESIGN: The QUALITY Study follows 630 Caucasian families (father, mother, and child originally aged 8-10 years). BP, height, weight, WC, and skinfold thickness were measured according to standardized protocols. Elevated BP was defined as systolic or diastolic BP at least 90th age, sex, and height-specific percentile. Total and central fat were determined with DXA. The area under the receiver operating characteristic (ROC) curve (AUC) statistic was computed from logistic models that adjusted for age, sex, height, Tanner stage, and physical activity. RESULTS: All adiposity indicators were highly correlated. WC and WHtR did not show superior ability over BMI to identify children with elevated SBP (P = 0.421 and 0.473). Measures of total and central fat from DXA did not show an improved ability over BMI or WC to identify children with elevated SBP (P = 0.325-0.662). CONCLUSION: Results support the use of BMI in clinical and public health settings, at least in this age group. As all indicators had a limited ability to identify children with elevated BP, results also support measurement of BP in all children of this age independent of a weight status.
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Tutkielman tavoitteena oli parantaa kohdeyrityksen myynnin raportoinnin käytettävyyttä toiminnanohjausjärjestelmämuutoksen jälkeen. Järjestelmämuutoksen jälkeen myyntitiedot siirtyivät puutteellisesti yrityksen tuloslaskentajärjestelmään. Tutkimus on empiriaan nojautuva tapaustutkimus. Siinätarkastellaan myynnin raportoinnin merkitystä yrityksen taloushallinnon raportoinnin osana sekä keinoja raportoinnin käytettävyyden varmistamiseksi. Lisäksi työssä käsitellään tietojärjestelmien osuutta taloushallinnon raportoinnissa ja tarkastellaan kohdeyrityksen tietojärjestelmiä ja niiden yhteistoimintaa. Empiirisen tutkimuksen tuloksena myyntitietojen puutteellisen siirtymisen syyksi havaittiin virheellinen poimintamääritys järjestelmien välillä.
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INTRODUCTION: Self-report of diabetes care has moderate validity and is prone to under- and over-reporting. We assessed reproducibility of a range of processes and outcomes of diabetes care as reported by patients and physicians. METHODS: In a Swiss community-based survey, patients with diabetes and physicians independently reported past 12 months processes of care (HbA1c, lipids, microalbuminuria, blood pressure, weight, foot and eye examinations) and last measured values of HbA1c, height, weight and blood pressure. For dichotomous variables, we assessed reliability by Cohen's kappa and agreement by uniform kappa. For continuous measures, we used Lin's concordance correlation coefficient and limits of agreement, respectively. RESULTS: Mean age of the 210 patients was 65 years; 40% were women, and 51% had diabetes for >10 years. Agreement was good for recommended processes of care such as blood pressure (uniform kappa = 0.94), HbA1c (0.93), weight (0.88) and lipid (0.78), but lower for microalbuminuria, foot and eye examinations (all <0.50). Cohen's kappa values were all low (<0.25). Comparisons of reported continuous variables showed large limits of agreement for height (±6 cm) and weight (8-10 kg) despite high concordance correlation coefficients (0.93 and 0.97). Concordance correlation coefficients were smaller for HbA1c (0.72) and blood pressure (0.5-0.6), with large limits of agreement (±2% and ±25 mmHg). CONCLUSION: While agreement of routine processes of care was good, agreement was less satisfactory for microalbuminuria, foot and eye examinations. Reports of continuous outcomes yielded good reliability but too wide limits of agreement. Quality of care evaluation relying on self-report only should be made cautiously.
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Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.
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1888/07 (T1,N3)-1888/09.
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1891/10 (T4,N16)-1891/12.
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1904/07 (T17,N76)-1904/10 (T17,N77).
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1928/04 (T41,N190)-1928/06 (T41,N191).
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1893/04 (T6,N22)-1893/06.
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1908/07 (T21,N93)-1908/10 (T21,N94).
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1902/07 (T15,N65)-1902/10 (T15,N66).
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1921/07 (T34,N158)-1921/09.
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1897/01 (T10,N37)-1897/03.
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1917/01 (T30,N136)-1917/03.
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1898/07 (T11,N43)-1898/09.