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从健康保险计划角度对商业保险人群6个月内乳腺癌、肺癌和结直肠癌护理的成本驱动因素进行的经济分析。

Cost drivers for breast, lung, and colorectal cancer care in a commercially insured population over a 6-month episode: an economic analysis from a health plan perspective.

作者信息

Sagar Bhuvana, Lin Yu Shen, Castel Liana D

机构信息

a Cigna Health and Life Insurance Company , Plano , TX , USA.

b Cigna Health and Life Insurance Company , Philadelphia , PA , USA.

出版信息

J Med Econ. 2017 Oct;20(10):1018-1023. doi: 10.1080/13696998.2017.1339353. Epub 2017 Jul 3.

Abstract

AIMS

In the absence of clinical data, accurate identification of cost drivers is needed for economic comparison in an alternate payment model. From a health plan perspective using claims data in a commercial population, the objective was to identify and quantify the effects of cost drivers in economic models of breast, lung, and colorectal cancer costs over a 6-month episode following initial chemotherapy.

RESEARCH DESIGN AND METHODS

This study analyzed claims data from 9,748 Cigna beneficiaries with diagnosis of breast, lung, and colorectal cancer following initial chemotherapy from January 1, 2014 to December 31, 2015. We used multivariable regression models to quantify the impact of key factors on cost during the initial 6-month cancer care episode.

RESULTS

Metastasis, facility provider affiliation, episode risk group (ERG) risk score, and radiation were cost drivers for all three types of cancer (breast, lung, and colorectal). In addition, younger age (p < .0001) and human epidermal growth factor receptor-2 oncogene overexpression (HER2+)-directed therapy (p < .0001) were associated with higher costs in breast cancer. Younger age (p < .0001) and female gender (p < .0001) were also associated with higher costs in colorectal cancer. Metastasis was also associated with 50% more hospital admissions and increased hospital length of stay (p < .001) in all three cancers over the 6-month episode duration. Chemotherapy and supportive drug therapies accounted for the highest proportion (48%) of total medical costs among beneficiaries observed.

CONCLUSIONS

Value-based reimbursement models in oncology should appropriately account for key cost drivers. Although claims-based methodologies may be further augmented with clinical data, this study recommends adjusting for the factors identified in these models to predict costs in breast, lung, and colorectal cancers.

摘要

目的

在缺乏临床数据的情况下,需要准确识别成本驱动因素,以便在替代支付模式中进行经济比较。从健康计划的角度出发,利用商业人群中的理赔数据,目标是识别并量化初始化疗后6个月期间乳腺癌、肺癌和结直肠癌成本经济模型中成本驱动因素的影响。

研究设计与方法

本研究分析了2014年1月1日至2015年12月31日期间9748名接受初始化疗后被诊断为乳腺癌、肺癌和结直肠癌的信诺保险受益人的理赔数据。我们使用多变量回归模型来量化初始6个月癌症护理期间关键因素对成本的影响。

结果

转移、医疗机构提供者隶属关系、发作风险组(ERG)风险评分和放疗是所有三种癌症(乳腺癌、肺癌和结直肠癌)的成本驱动因素。此外,年龄较小(p < 0.0001)和人表皮生长因子受体2癌基因过表达(HER2+)导向治疗(p < 0.0001)与乳腺癌较高的成本相关。年龄较小(p < 0.0001)和女性性别(p < 0.0001)也与结直肠癌较高的成本相关。在6个月的发作期间,转移还与所有三种癌症中50%以上的住院次数增加和住院时间延长相关(p < 0.001)。在观察到的受益人中,化疗和支持性药物治疗占总医疗成本的比例最高(48%)。

结论

肿瘤学中基于价值的报销模式应适当考虑关键成本驱动因素。尽管基于理赔的方法可能会通过临床数据进一步加强,但本研究建议针对这些模型中确定的因素进行调整,以预测乳腺癌、肺癌和结直肠癌的成本。

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