Institute of Sociology, Chemnitz University of Technology, 09107 Chemnitz, Germany.
Institute of Labor Sciences, Ruhr-University Bochum, 44801 Bochum, Germany.
Int J Environ Res Public Health. 2022 Aug 5;19(15):9686. doi: 10.3390/ijerph19159686.
Until now, health care systems have been compared by means of macro criteria, an approach that might have its shortcomings in assessing the actual benefits that health care systems may provide for people. Therefore, a new health care index is presented which combines individual assessments of health care systems with objective macro health care system criteria. Two steps are taken for furthering this approach: First, a data-driven procedure is used to determine the influence of self-rated health on confidence in the health care system through macro criteria of health care systems. The macro indicators are weighted accordingly and created into an index, which adds to the subjective level of the link. In a second step, the constructed health care index is tested in a multilevel model with self-rated health being the dependent variable, to avoid tautological conclusions. The index is able to reduce country differences, decrease explained variability and has a statistically significant effect without affecting other estimates.
到目前为止，医疗保健系统一直是通过宏观标准进行比较的，这种方法在评估医疗保健系统可能为人们提供的实际利益方面可能存在不足。因此，提出了一种新的医疗保健指数，它将对医疗保健系统的个体评估与客观的宏观医疗保健系统标准相结合。为了进一步推进这一方法，采取了两个步骤：首先，使用数据驱动的程序来确定通过医疗保健系统的宏观标准来确定自评健康对医疗保健系统信心的影响。相应地对宏观指标进行加权，并创建成一个指数，从而增加了联系的主观程度。在第二步中，使用多层次模型对构建的医疗保健指数进行测试，其中自评健康是因变量，以避免同义反复的结论。该指数能够减少国家差异，降低可解释的变异性，并且具有统计学意义的效果，而不会影响其他估计。
