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Introduction:
Due to demographic change and lack of health care personnel new solutions like preventive home visits (PHV) are necessary. PHV reduces the risk of long-term care and therefore, enables older people to live in their home as long as possible.
Aim of the study:
The aim of this study is to analyse the acceptance of PHV and the effect of PHV on health status of the older people.
Methods:
In this mixed method study PHV as a nursing intervention will be offered to people older than 65 years, not yet eligible for benefits from the long-term care insurance and living in Emlichheim, a region in the northwestern part of Lower Saxony. A sample of 75 people is determined. The health status will be recorded with the Short Form 12 questionnaire. Fifteen semi-structured interviews will be performed to investigate acceptance of the PHV intervention. Quantitative data will be analysed using inferential statistics, qualitative data will be analysed using content analysis. Ethical approval has been obtained.
Results:
It is expected that the findings of this study complete current knowledge about the concept of PHV.
Practical relevance:
This study is of high practical relevance, because additional insights of acceptance might enable the adaption of the PHV concept. Furthermore, increased knowledge and motivation for preventive behaviour of the older people is anticipated in order to extend their autonomy. The results of this study could contribute to the implementation of PHV in Germany, especially in rural areas. It tends to allow a self-determined life in their familiar environment for the older people, as the biggest need of this group.
Making solar thermal systems less expensive, often results in a lower system efficiency. However, the cost-benefit ratio is relevant from the perspective of the consumer. The complex impact of component-related and system-related design parameters on the economics of a complete system makes the evaluation and economical optimization difficult.
Therefore, a complete simulation environment has been developed, which can automatically optimize solar-thermal systems,including collector and system parameters. The main collector module consists of a one-dimensional thermal model that was validated with a commercial solar collector. The efficiency curve and the production cost werecalculated as a function of several design and construction parameters. The collector module was linked to the commercial software Polysun®, so that parametric studies can be performed with minimaleffort. Optimization problems can be solved by using the Matlab® optimization toolbox.
The simulation environment wasused for sensitivity studies and optimization problems in order to analyze the impact of collector design-parameters with respect to system cost, system yield andeconomic values. We will demonstrate how a collector can be optimized and how the ideal system parameters like collector number and storage volume can be easily calculated. Finally, we will show how the optimizer is used for a given system in order to find ideal values for the absorber-sheet thickness and the number of pipes. Due to the holistic approach, the application of this tool set can be used for collector development as well as for system planning.