Department of Neurology, Medical Faculty, University Hospital of Düsseldorf and Heinrich-Heine-University, Düsseldorf, Germany.
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center, Berlin, Germany.
Front Immunol. 2024 Aug 15;15:1458458. doi: 10.3389/fimmu.2024.1458458. eCollection 2024.
Economic and health care restraints strongly impact on drug prescription for chronic diseases. We aimed to identify potential factors for prescription behavior in chronic disease. Multiple sclerosis was chosen as a model disease due to its chronic character, incidence, and high socioeconomic impact.
Germany was used as a model country as the health-care system is devoid of economic and drug availability restraints. German statutory health insurance data were analyzed retrospectively. The impact of number of university hospitals and neurologists as well as the gross domestic product (GDP) as potential factors on prescriptions of platform and high-efficacy disease-modifying therapies (DMTs) was analyzed.
Prescription of platform DMTs increased over time in almost all federal states with varying degree of increase. Univariate regression analysis showed that the prescription volume of platform DMTs positively correlated with the number of university hospitals and neurologists, as well as the GDP per federal state. Stepwise forward regression analysis including all potential factors indicated a statistically significant model for platform DMT (R = 0.55; 95%-CI [0.28, 0.82]; p=0.001) revealing GDP as the main contributor. This was confirmed in the independent analysis.
This study illustrates that even without overt drug prescription inequity, access to medication is not evenly distributed and depends on economic strength and regional medical care density.
经济和医疗保健的限制强烈影响慢性病的药物处方。我们旨在确定慢性病处方行为的潜在因素。多发性硬化症因其慢性特征、发病率和高社会经济影响而被选为模型疾病。
德国被用作模型国家,因为其医疗保健系统不存在经济和药物供应的限制。回顾性分析了德国法定健康保险数据。分析了大学医院和神经科医生的数量以及国内生产总值(GDP)作为潜在因素对平台和高效疾病修正疗法(DMT)的处方的影响。
在几乎所有联邦州,平台 DMT 的处方量随着时间的推移都有所增加,增加程度各不相同。单变量回归分析表明,平台 DMT 的处方量与大学医院和神经科医生的数量以及每个联邦州的 GDP 呈正相关。包括所有潜在因素的逐步向前回归分析表明,平台 DMT 存在统计学上显著的模型(R = 0.55;95%-CI [0.28, 0.82];p=0.001),表明 GDP 是主要贡献者。这在独立分析中得到了证实。
本研究表明,即使没有明显的药物处方不平等,药物的可及性也不均匀分布,并且取决于经济实力和区域医疗保健密度。