María Jesús Rodríguez-Abellón, Benigno Acea-Nebril, Vanesa Balboa-Barreiro
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引用次数: 0
Abstract
Objective: The justification for the research was the economic approach to breast cancer in order to introduce improvements. The objectives were to know the final cost in each subgroup of women with non-metastatic breast cancer, to know the average cost per patient, to predict the cost and to identify groups with the greatest economic impact for health systems.
Methods: A retrospective descriptive study was carried out in 411 women, after systematic random sampling, diagnosed with non-metastatic breast cancer and undergoing surgery in Abente y Lago Hospital (A Coruña) during 2010-2013. The information was obtained from medical records and databases. For cost evaluation, rates for health services in the Galician Health Service were taken into account. Univariates and multivariates analysis were performed.
Results: The average cost of non-metastatic breast cancer in women was €23,752.16±€16,015.82 and varied according to ten care profiles based on therapeutic management (p<0.001 in six of the profiles in relation to non-adjuvant surgery; in one, p=0.004; in one, p=0.022; not demonstrable in one with p=0.132). In the profiles with immunotherapy (14.6%) the cost was €54,190.54; €55,238; €69,278.45 and €57,364.81.
Conclusions: In non-metastatic breast cancer, ten care profiles according to therapeutic management best approximate the cost. In addition to having the average cost, the cost per patient can be predicted with a mathematical formula that includes age, origin of screening, infiltrated nodes and care profile. The groups with anti-HER2 treatment have a greater economic impact.
目的:本研究的理由是采用经济方法来治疗乳腺癌,以引入改进措施。目的是了解每个非转移性乳腺癌妇女亚组的最终成本,了解每位患者的平均成本,预测成本并确定对卫生系统产生最大经济影响的群体。方法:对2010-2013年在Abente y Lago医院(A Coruña)经系统随机抽样诊断为非转移性乳腺癌并接受手术治疗的411名女性进行回顾性描述性研究。这些信息是从医疗记录和数据库中获得的。在进行成本评估时,考虑了加利西亚保健服务局的保健服务费率。进行单变量和多变量分析。结果:女性非转移性乳腺癌的平均费用为€23,752.16±€16,015.82,根据基于治疗管理的10种护理方案而变化。结论:在非转移性乳腺癌中,根据治疗管理的10种护理方案最接近成本。除了平均费用外,每位患者的费用还可以通过一个数学公式来预测,该公式包括年龄、筛查来源、浸润淋巴结和护理概况。接受抗her2治疗的群体具有更大的经济影响。