Bac V Tran

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OBJECTIVE To develop a simple index able to identify at an early stage those elderly patients at high risk of requiring discharge to a residential or nursing home after admission to hospital for acute care. For these patients, early discharge planning might lead to a more effective management and reduce the length of hospitalisation. DESIGN, SETTING, AND(More)
A prospective study was organized in two teaching hospitals in Paris, including 426 elderly patients aged 75 and more, who had been hospitalized through the medical emergency department. The goal of the study was to assess the influence of difficulties of orientation at discharge on the length of stay, independently of other risk factors. The mean length of(More)
Identifying elderly patients who are unable to return home immediately after acute hospitalization is difficult. For these patients, early planning of discharge might reduce the length of hospitalization. We conducted a cohort study to investigate the roles of patients' characteristics and patients' and principal carers' wishes about patients returning home(More)
Latent Markov modeling is used as an alternative to the Current Population Survey (Census, 2002) reinterviewing methodology for estimating the measurement error in the recorded employment status. This alternative methodology, which is implemented in the syntax version the Latent GOLD program, turns out to be a promising new approach for estimating(More)
In the past three years, we developed decision-based estimation to estimate survey totals for the Annual Survey of Public Employment and Payroll (ASPEP). Recently, we developed a step-wise ratio method to estimate the Annual Finance Survey (AFS) characteristics of interest: Revenue, Expenditure, Debt, and Asset. In this paper, we discuss some small area(More)
Disclaimer: This report is released to inform interested parties of research and to encourage discussion of work in progress. The views expressed are those of the authors and not necessarily those of the U.S. Census Bureau. Abstract: Annual Survey of Employment and Payroll estimates the number of federal, state, and local government employees and their(More)
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