51 research outputs found

    Home: The place the older adult can not imagine living without

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    <p>Abstract</p> <p>Background</p> <p>Rapidly aging populations with an increased desire to remain at home and changes in health policy that promote the transfer of health care from formal places, as hospitals and institutions, to the more informal setting of one's home support the need for further research that is designed specifically to understand the experience of home among older adults. Yet, little is known among health care providers about the older adult's experience of home. The aim of this study was to understand the experience of home as experienced by older adults living in a rural community in Sweden.</p> <p>Methods</p> <p>Hermeneutical interpretation, as developed by von Post and Eriksson and based on Gadamer's philosophical hermeneutics, was used to interpret interviews with six older adults. The interpretation included a self examination of the researcher's experiences and prejudices and proceeded through several readings which integrated the text with the reader, allowed new questions to emerge, fused the horizons, summarized main and sub-themes and allowed a new understanding to emerge.</p> <p>Results</p> <p>Two main and six sub-themes emerged. Home was experienced as the place the older adult could not imagine living without but also as the place one might be forced to leave. The older adult's thoughts vacillated between the well known present and all its comforts and the unknown future with all its questions and fears, including the underlying threat of loosing one's home.</p> <p>Conclusions</p> <p>Home has become so integral to life itself and such an intimate part of the older adult's being that when older adults lose their home, they also loose the place closest to their heart, the place where they are at home and can maintain their identity, integrity and way of living. Additional effort needs to be made to understand the older adult's experience of home within home health care in order to minimize intrusion and maximize care. There is a need to more fully explore the older adult's experience with health care providers in the home and its impact on the older adult's sense of "being at home" and their health and overall well-being.</p

    Identification of Genes Contributing to the Virulence of Francisella tularensis SCHU S4 in a Mouse Intradermal Infection Model

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    Background: Francisella tularensis is a highly virulent human pathogen. The most virulent strains belong to subspecies tularensis and these strains cause a sometimes fatal disease. Despite an intense recent research effort, there is very limited information available that explains the unique features of subspecies tularensis strains that distinguish them from other F. tularensis strains and that explain their high virulence. Here we report the use of targeted mutagenesis to investigate the roles of various genes or pathways for the virulence of strain SCHU S4, the type strain of subspecies tularensis. Methodology/Principal Findings: The virulence of SCHU S4 mutants was assessed by following the outcome of infection after intradermal administration of graded doses of bacteria. By this route, the LD\u2085\u2080 of the SCHU S4 strain is one CFU. The virulence of 20 in-frame deletion mutants and 37 transposon mutants was assessed. A majority of the mutants did not show increased prolonged time to death, among them notably \u394pyrB and \u394recA. Of the remaining, mutations in six unique targets, tolC, rep, FTT0609, FTT1149c, ahpC, and hfq resulted in significantly prolonged time to death and mutations in nine targets, rplA, wbtI, iglB, iglD, purL, purF, ggt, kdtA, and glpX, led to marked attenuation with an LD\u2085\u2080 of >10\ub3 CFU. In fact, the latter seven mutants showed very marked attenuation with an LD\u2085\u2080 of 6510\u2077 CFU. Conclusions/Significance: The results demonstrate that the characterization of targeted mutants yielded important information about essential virulence determinants that will help to identify the so far little understood extreme virulence of F. tularensis subspecies tularensis.Peer reviewed: YesNRC publication: Ye

    Implementation and Evaluation of the SAEM Algorithm for Longitudinal Ordered Categorical Data with an Illustration in Pharmacokinetics–Pharmacodynamics

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    Analysis of longitudinal ordered categorical efficacy or safety data in clinical trials using mixed models is increasingly performed. However, algorithms available for maximum likelihood estimation using an approximation of the likelihood integral, including LAPLACE approach, may give rise to biased parameter estimates. The SAEM algorithm is an efficient and powerful tool in the analysis of continuous/count mixed models. The aim of this study was to implement and investigate the performance of the SAEM algorithm for longitudinal categorical data. The SAEM algorithm is extended for parameter estimation in ordered categorical mixed models together with an estimation of the Fisher information matrix and the likelihood. We used Monte Carlo simulations using previously published scenarios evaluated with NONMEM. Accuracy and precision in parameter estimation and standard error estimates were assessed in terms of relative bias and root mean square error. This algorithm was illustrated on the simultaneous analysis of pharmacokinetic and discretized efficacy data obtained after a single dose of warfarin in healthy volunteers. The new SAEM algorithm is implemented in MONOLIX 3.1 for discrete mixed models. The analyses show that for parameter estimation, the relative bias is low for both fixed effects and variance components in all models studied. Estimated and empirical standard errors are similar. The warfarin example illustrates how simple and rapid it is to analyze simultaneously continuous and discrete data with MONOLIX 3.1. The SAEM algorithm is extended for analysis of longitudinal categorical data. It provides accurate estimates parameters and standard errors. The estimation is fast and stable
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