PubMed · 11631174
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J Lachmund, G Stollberg. 1989. [Not Available].. https://pubmed.ncbi.nlm.nih.gov/11631174/
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BACKGROUND: In 2003, criteria for assessing the structural quality of rehabilitation units for inpatient treatment were developed in cooperation with the German statutory pension insurance and health insurance. The aim of this study was to assess this quality using predefined valuation criteria and to test their applicability. METHODS: In the context of the Quality Assurance Programme for Rehabilitation provided by the German statutory health insurance, the structural quality of 18 neurological rehabilitation units was assessed applying the criteria for the first time. RESULTS: On average, the 18 rehabilitation units fulfilled 93.9% of the basic criteria. Despite this high proportion, variability in the degree of realisation in the individual rehabilitation units could be demonstrated. The basic criteria are realistic in respect to the structural requirements, without leveling out the differences between the centres. CONCLUSION: Assessing the structural quality of rehabilitation units on the basis of defined standards allows for a benchmark between units as well as for improvements within the individual units.
Discrete survival models have been extended in several ways. More flexible models are obtained by including time-varying coefficients and covariates which determine the hazard rate in an additive but not further specified form. In this paper, a general model is considered which comprises both types of covariate effects. An additional extension is the incorporation of smooth interaction between time and covariates. Thus, in the linear predictor smooth effects of covariates which may vary across time are allowed. It is shown how simple duration models produce artefacts which may be avoided by flexible models. For the general model which includes parametric terms, time-varying coefficients in parametric terms and time-varying smooth effects estimation procedures are derived which are based on the regularized expansion of smooth effects in basis functions. The approach is used to model the sojourn time in a psychiatric hospital. It is demonstrated how initial conditions which have non-linear influence are damped over time.
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