Herrmann Wolfram J, Haarmann Alexander, Bærheim Anders
Institute of General Practice, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Institute of General Practice and Family Medicine, Otto-von-Guericke-University of Magdeburg, Magdeburg, Germany.
PLoS One. 2017 May 12;12(5):e0176657. doi: 10.1371/journal.pone.0176657. eCollection 2017.
Traditional measurement models of health care utilization are not able to represent the complex structure of health care utilization. In this qualitative study, we, therefore, developed a new model to represent the health care utilization structure. In Norway and Germany, we conducted episodic interviews, participant observation and a concurrent context analysis. Data was analyzed by thematic coding in the framework of grounded theory. Consultations do very often not only have one single reason for encounter. They are usually not independent events but form part of consultation sequences. We could find structural differences between Norway and Germany regarding the flow of information between consultations and which providers are involved in health care in what way. This leads to a sequential model, in which health care utilization is seen as sequences of consultations. Such health care utilization sequences consist of nodes which are connected by edges. Nodes represent patient-provider contacts and edges depict the flow of information. Time and the level of health care providers are dimensions in the model. These sequences can be described by different measures and aggregated on population level. Thus, the sequential model can be further used in analyzing health care utilization quantitatively, e.g., by using routine data.
传统的医疗保健利用测量模型无法呈现医疗保健利用的复杂结构。因此,在这项定性研究中,我们开发了一种新模型来呈现医疗保健利用结构。在挪威和德国,我们进行了情景访谈、参与观察以及同步背景分析。通过扎根理论框架下的主题编码对数据进行了分析。会诊往往不仅有单一的就诊原因。它们通常不是独立事件,而是会诊序列的一部分。我们发现挪威和德国在会诊之间的信息流以及哪些医疗服务提供者以何种方式参与医疗保健方面存在结构差异。这就产生了一个序列模型,在该模型中,医疗保健利用被视为会诊序列。这种医疗保健利用序列由通过边相连的节点组成。节点代表患者与医疗服务提供者的接触,边描绘信息流。时间和医疗服务提供者的级别是该模型的维度。这些序列可以通过不同的度量进行描述,并在人群层面进行汇总。因此,该序列模型可进一步用于定量分析医疗保健利用情况,例如通过使用常规数据。