Schäfer I, Augustin M, Krensel M, Augustin J
Institut für Versorgungsforschung in der Dermatologie und bei Pflegeberufen (IVDP), Universitätsklinikum Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Deutschland.
Hautarzt. 2019 Jan;70(1):29-35. doi: 10.1007/s00105-018-4279-2.
Health services research in dermatology with the objective to improve prevention, efficient diagnostics and treatment of skin cancer requires real world data from all sectors. This article provides an overview of currently available relevant real world data sources and the utilization potential. It lists exemplary results of existing studies: secondary data analyses based on billing data from statutory health insurance funds were used among other things to estimate the participation rate in the statutory skin cancer screening. This was approximately 31% in the 2‑year period and was higher in the western German federal states than in the eastern ones. Furthermore, participation was higher for women than for men. Regional data in combination with sociostructural and sociodemographic indicators are available for planning of dermatological care and the analysis points to an association with the prevalence of skin cancer. Primary data are available and necessary for recording patient reported endpoints and evaluating the treatment of skin cancer patients by dermatologists. Extensive histopathological databases record not only clinical markers of skin cancer but also sociodemographic characteristics of the patients and indicate a correlation between the time of diagnosis or therapy and the insurance status and place of residence. In addition to the utilization potential, specific limitations of the data sources are listed.
旨在改善皮肤癌预防、高效诊断和治疗的皮肤病学卫生服务研究需要来自所有部门的真实世界数据。本文概述了当前可用的相关真实世界数据源及其利用潜力。它列出了现有研究的示例性结果：基于法定健康保险基金计费数据的二次数据分析被用于估计法定皮肤癌筛查的参与率等。在两年期间，这一比例约为31%，德国西部联邦州的参与率高于东部。此外，女性的参与率高于男性。区域数据与社会结构和社会人口指标相结合可用于皮肤科护理规划，分析表明其与皮肤癌患病率相关。记录患者报告的终点以及评估皮肤科医生对皮肤癌患者的治疗情况需要原始数据且原始数据是必要的。广泛的组织病理学数据库不仅记录皮肤癌的临床标志物，还记录患者的社会人口特征，并表明诊断或治疗时间与保险状况和居住地点之间存在相关性。除了利用潜力外，还列出了数据源的具体局限性。
