1,682 research outputs found

    The SF36 as an outcome measure of services for end stage renal failure

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    OBJECTIVE: —To evaluate the use of the short form 36 (SF36) as a measure of health related quality of life of patients with end stage renal failure, document the results, and investigate factors, including mode of treatment, which may influence it. DESIGN: Cross sectional survey of patients with end stage renal failure, with the standard United Kingdom version of the SF36 supplemented by specific questions for end stage renal failure. SETTING: A teaching hospital renal unit. Subjects and methods—660 patients treated at the Sheffield Kidney Institute by haemodialysis, peritoneal dialysis, and transplantation. Internal consistency, percentage of maximal or minimal responses, SF36 scores, effect sizes, correlations between independent predictor variables and individual dimension scores of the SF36. Multiple regression analysis of the SF36 scores for the physical functioning, vitality, and mental health dimensions against treatment, age, risk (comorbidity) score, and other independent variables. RESULTS: A high response rate was achieved. Internal consistency was good. There were no floor or ceiling effects other than for the two “role” dimensions. Overall health related quality of life was poor compared with the general population. Having a functioning transplant was a significant predictor of higher score in the three dimensions (physical functioning, vitality, and mental health) for which multiple regression models were constructed. Age, sex, comorbidity, duration of treatment, level of social and emotional support, household numbers, and hospital dialysis were also (variably) significant predictors. CONCLUSIONS: The SF36 is a practical and consistent questionnaire in this context, and there is evidence to support its construct validity. Overall the health related quality of life of these patients is poor, although transplantation is associated with higher scores independently of the effect of age and comorbidity. Age, comorbidity, and sex are also predictive of the scores attained in the three dimensions studied. Further studies are required to ascertain whether altering those predictor variables which are under the influence of professional carers is associated with changes in health related quality of life, and thus confirm the value of this outcome as a measure of quality of care

    Key characteristics and attitudes of airline passengers, with particular emphasis upon the low-cost sector: implications for pre-trip decision-making and airline choice

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    The inception of the low-cost carrier (LCC) into the UK in the early 1990s revolutionised passenger aviation. The now saturated short-haul market finds airlines increasingly manipulative of their business model, seeking to further differentiate their product offering from their rivals. With an abundance of airlines to choose from, the consumer is faced with what at times can be a complex decision-making process as to which airline to fly with. This research seeks through empirical research to identify key characteristics and attitudes of airline passengers (with particular emphasis upon LCCs) and the implications for pre-trip decision-making and airline choice. The study begins with an overview of the airline business models that dominate the UK passenger aviation sector, before introducing Birmingham Airport (BHX) as a case study airport on which part of the main findings of this research are based. A detailed literature review then seeks to offer insight to attitude formation and the decision-making process that facilitates behaviour, before examining the implications for airline choice. The fieldwork was undertaken in two stages with passenger decision-making explored through structured-interviews conducted with passengers in the airside departure lounges at BHX (n = 490). In addition, the attitudes of airline passengers were explored using an online attitudinal survey, distributed internationally to a self-selected sample (n = 307). The quantitative analysis of both strands of research suggests key differences exist in the decision-making processes and research methods employed by passengers’ of airlines operating different business models, but particularly for passengers of LCCs. Both socio-demographic and situational factors are identified as influential in decision-making and choice processes. Attitudes, based upon actual experience and social representation are also considered significant. The findings present a classification of airline passengers based upon the primary research and suggest further quantitative research should explore decision-making over time and in different situational contexts

    Scaling Flows and Dissipation in the Dilute Fermi Gas at Unitarity

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    We describe recent attempts to extract the shear viscosity of the dilute Fermi gas at unitarity from experiments involving scaling flows. A scaling flow is a solution of the hydrodynamic equations that preserves the shape of the density distribution. The scaling flows that have been explored in the laboratory are the transverse expansion from a deformed trap ("elliptic flow"), the expansion from a rotating trap, and collective oscillations. We discuss advantages and disadvantages of the different experiments, and point to improvements of the theoretical analysis that are needed in order to achieve definitive results. A conservative bound based on the current data is that the minimum of the shear viscosity to entropy density ration is that eta/s is less or equal to 0.5 hbar/k_B.Comment: 32 pages, prepared for "BCS-BEC crossoverand the Unitary Fermi Gas", Lecture Notes in Physics, W. Zwerger (editor), Fig. 5 corrected, note added; final version, corrected typo in equ. 9

    SIMULATION IN PRACTICE: THE BALANCING INTERCEPT

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    Simulation is an important tool within epidemiology for both learning and developing new methodology (1–5). Unfortunately, few epidemiology training programs teach basic simulation methods. Briefly, when conducting a simulation experiment, we generally follow the same basic steps. We first decide which variables to include, as well as their distributions and associations—often aided by a causal diagram. We then generate those variables by sampling from their specified distributions and estimate whatever target parameter is of interest (e.g., sample average or causal effect). We finally repeat the processmultiple times, building a distribution for the target parameter from the estimates obtained in each replicate

    The Importance of Time Congruity in the Organisation.

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    In 1991 Kaufman, Lane, and Lindquist proposed that time congruity in terms of an individual's time preferences and the time use methods of an organisation would lead to satisfactory performance and enhancement of quality of work and general life. The research reported here presents a study which uses commensurate person and job measures of time personality in an organisational setting to assess the effects of time congruity on one aspect of work life, job-related affective well-being. Results show that time personality and time congruity were found to have direct effects on well-being and the influence of time congruity was found to be mediated through time personality, thus contributing to the person–job (P–J) fit literature which suggests that direct effects are often more important than indirect effects. The study also provides some practical examples of ways to address some of the previously cited methodological issues in P–J fit research

    A new type of carbon resistance thermometer with excellent thermal contact at millikelvin temperatures

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    Using a new brand of commercially available carbon resistor we built a cryogenic thermometer with an extremely good thermal contact to its thermal environment. Because of its superior thermal contact the thermometer is insensitive to low levels of spurious radio frequency heating. We calibrated our thermometer down to 5mK using a quartz tuning fork He-3 viscometer and measured its thermal resistance and thermal response time.Comment: 5 pages, 4 figure

    On the Reliability of Meta-Analytic Reviews

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    The article addresses the issue of intercoder reliability in meta-analyses. The current practice of reporting a single, mean intercoder agreement score in meta-analytic research leads to systematic bias and overestimates the true reliability. An alternative approach is recommended in which average intercoder agreement scores or other reliability statistics are calculated within clusters of coded variables. These clusters form a hierarchy in which the correctness of coding decisions at a given level of the hierarchy is contingent on decisions made at higher levels. Two separate studies of intercoder agreement in meta-analysis are presented to assess the validity of the model.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67840/2/10.1177_0193841X9301700303.pd
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