Evans W K, Will B P, Berthelot J M, Wolfson M C
Ottawa Regional Cancer Centre, Ontario.
Can J Oncol. 1995 Dec;5(4):408-19.
Because lung cancer is a major health care problem in Canada, it would be useful to identify the direct health care costs of diagnosing and treating this disease and to create an analytic framework within which diagnostic and therapeutic options can be assessed. This paper describes a method of modelling the costs of care for lung cancer. The perspective of the costing model is that of the government as payer in a universal health care system. Clinical algorithms were developed to describe the management of non-small cell (NSCLC) and small cell (SCLC) lung cancer. Patients were allocated to the treatment algorithms in the model, based on a knowledge of the stage distribution of cases within provincial cancer registries and an estimate of the use of therapeutic modalities, according to lung cancer experts. A microsimulation model (POHEM) developed at Statistics Canada was used to integrate data on risk factors, disease onset and progression, health care resource utilization and direct medical care costs. The model incorporates survival data on patients, according to cell type and stage, based on published studies. Relapse and terminal care costs were assigned during the year of death, in order to determine the cost of continuing care and the cumulative cost of lung cancer management over time. Patients surviving five years were assumed to be cured. The model estimates that the total five year cost to provide care to the 15,624 cases of lung cancer diagnosed in Canada in 1988 was in excess of $328 million. Over 82% of this total was spent in the first year for diagnostic tests, therapy (surgery, chemotherapy, radiation therapy, or combinations of these), hospitalization and follow-up costs. The average five year cost per case was $21,000, and ranged from a high of $29,860 for limited disease SCLC, to a low of $16,500 for Stage IV NSCLC. The actual cost of providing care, including the management of complications, is unknown and our estimates should be regarded as an idealized estimate of the cost of lung cancer management. However, the POHEM model has a level of sophistication which, we believe, reasonably reflects the cost per case and total costs of treating lung cancer by stage and therapeutic modality in Canada.
由于肺癌是加拿大一个主要的医疗保健问题,确定诊断和治疗该疾病的直接医疗保健成本,并创建一个能够评估诊断和治疗方案的分析框架将很有帮助。本文描述了一种对肺癌护理成本进行建模的方法。成本核算模型的视角是政府作为全民医疗保健系统中的支付方。开发了临床算法来描述非小细胞(NSCLC)和小细胞(SCLC)肺癌的管理。根据省级癌症登记处病例的阶段分布知识以及肺癌专家对治疗方式使用情况的估计,将患者分配到模型中的治疗算法。加拿大统计局开发的微观模拟模型(POHEM)用于整合关于风险因素、疾病发病和进展、医疗保健资源利用以及直接医疗成本的数据。该模型根据已发表的研究,纳入了按细胞类型和阶段划分的患者生存数据。在死亡年份分配复发和临终护理成本,以确定持续护理成本以及随着时间推移肺癌管理的累积成本。假设存活五年的患者已治愈。该模型估计,为1988年在加拿大诊断出的15624例肺癌病例提供护理的五年总成本超过3.28亿加元。其中超过82%的总成本在第一年用于诊断测试、治疗(手术、化疗、放疗或这些的组合)、住院和后续成本。每例病例的平均五年成本为21000加元,范围从局限性疾病SCLC的最高29860加元到IV期NSCLC的最低16500加元。提供护理的实际成本,包括并发症的管理,尚不清楚,我们的估计应被视为肺癌管理成本的理想化估计。然而,我们认为POHEM模型具有一定的复杂性,能够合理反映加拿大按阶段和治疗方式治疗肺癌的每例成本和总成本。