Capturing Chemotherapy and Radiotherapy Dose Among Breast Cancer Patients With the Utah All-Payer Claims Database Compared With Gold-Standard Abstraction

IF 2.9 2区 医学 Q2 ONCOLOGY
Cancer Medicine Pub Date : 2024-11-15 DOI:10.1002/cam4.70411
Alzina Koric, Chun-Pin Esther Chang, Shane Lloyd, Mark Dodson, Vikrant G. Deshmukh, Michael G. Newman, Ankita P. Date, Jen A. Doherty, Lisa H. Gren, Christina A. Porucznik, Benjamin A. Haaland, N. Lynn Henry, Mia Hashibe
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Abstract

Objective

To evaluate the validity of the Utah statewide All-Payer Claims Database (APCD), we compared breast cancer-specific treatments and dosages with gold-standard abstraction of medical records.

Study Design

In this pilot study, breast cancer treatments were abstracted by a certified tumor registrar at the Utah Cancer Registry (UCR) for patients diagnosed in 2013 with breast cancer. The abstraction of medical records was the gold standard for comparison with treatments identified in the APCD. The reliability and agreement between the treatment identified in the APCD and abstraction data were measured with sensitivity and specificity. Dose consistency was measured with the intraclass correlation coefficients (ICC).

Results

Compared with the 186 abstractions, the sensitivity of the APCD to identify chemotherapy agents was high: 89% for any agent, 91% for carboplatin, 83% for docetaxel, 82% for doxorubicin, or 94.7% for biologic therapy. The consistency between the chemotherapy dosage identified in the claims and the abstraction varied from 63% to 76%. For radiotherapy, the sensitivity of the claims to identify the completed radiotherapy regimen was 66%. The ICC between radiotherapy doses identified in the claims and the abstraction was 54% (95% confidence interval [CI], 48%, 67%).

Conclusions

Employing these novel methods, the claims were highly reliable in identifying cancer treatment agents overall, namely carboplatin, docetaxel, and trastuzumab. The claims were of moderate utility in capturing the treatment dose information. In addition to the APCD, the use of multiple data sources improved the completeness of cancer treatment information.

Abstract Image

利用犹他州所有付费者索赔数据库捕捉乳腺癌患者的化疗和放疗剂量与黄金标准摘要比较。
目的: 为了评估犹他州全州所有付费者索赔数据库(APCD)的有效性,我们将乳腺癌特定治疗方法和剂量与黄金标准医疗记录摘要进行了比较:为了评估犹他州全州范围内所有付费者索赔数据库(APCD)的有效性,我们将乳腺癌的特定治疗方法和剂量与金标准病历摘要进行了比较:在这项试点研究中,犹他州癌症登记处 (UCR) 的认证肿瘤登记员对 2013 年确诊的乳腺癌患者的乳腺癌治疗进行了摘要。病历摘要是与 APCD 中确定的治疗方法进行比较的金标准。用灵敏度和特异性来衡量 APCD 中确定的治疗方法与摘要数据之间的可靠性和一致性。剂量一致性用类内相关系数(ICC)来衡量:与 186 份摘要相比,APCD 识别化疗药物的灵敏度很高:任何药物的灵敏度为 89%,卡铂为 91%,多西他赛为 83%,多柔比星为 82%,生物疗法为 94.7%。报销单中确定的化疗剂量与摘要之间的一致性从 63% 到 76% 不等。在放疗方面,报销单对已完成放疗方案的识别灵敏度为 66%。报销单中确定的放疗剂量与摘要之间的 ICC 为 54%(95% 置信区间 [CI],48%,67%):采用这些新方法,报销单在确定癌症治疗药物(即卡铂、多西他赛和曲妥珠单抗)方面总体上非常可靠。报销单在获取治疗剂量信息方面的效用一般。除 APCD 外,多种数据源的使用也提高了癌症治疗信息的完整性。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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