Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study

被引：4

作者：

Ogawa, Toshio ^{[1
]}

Takahashi, Hirokazu ^{[2
]}

Saito, Hiroshi ^{[3
]}

Sagawa, Motoyasu ^{[4
]}

Aoki, Daisuke ^{[5
]}

Matsuda, Kazuo ^{[6
]}

Nakayama, Tomio ^{[2
]}

Kasahara, Yoshio ^{[7
]}

Kato, Katsuaki ^{[8
]}

Saitoh, Eiko ^{[9
]}

Morisada, Tohru ^{[10
]}

Saika, Kumiko ^{[2
]}

Sawada, Norie ^{[2
]}

Matsumura, Yasushi ^{[11
]}

Sobue, Tomotaka ^{[12
]}

机构：

[1] Setsunan Univ, Div Publ Hlth, Fac Agr, Osaka, Japan

[2] Natl Canc Ctr, Inst Canc Control, Tokyo, Japan

[3] Aomori Prefectural Cent Hosp, Aomori, Japan

[4] Tohoku Med & Pharmaceut Univ, Div Endoscopy, Fac Med, Sendai, Miyagi, Japan

[5] Keio Univ, Dept Obstet & Gynecol, Sch Med, Tokyo, Japan

[6] Fukui Hlth Care Soc, Fukui Hlth Promot Ctr, Fukui, Japan

[7] Fukui Prefecture Saiseikai Hosp, Dept Breast Surg, Fukui, Japan

[8] Miyagi Canc Soc, Canc Detect Ctr, Sendai, Miyagi, Japan

[9] Int Univ Hlth & Welf, Dept Prevent Med Ctr, Tokyo, Japan

[10] Kyorin Univ, Dept Obstet & Gynecol, Fac Med, Tokyo, Japan

[11] Natl Hosp Org, Osaka Natl Hosp, Osaka, Japan

[12] Osaka Univ, Sch Med, Grad Sch Med, Osaka, Japan

来源：

JCO GLOBAL ONCOLOGY | 2023年 / 9卷

关键词：

MEDICARE CLAIMS; BREAST-CANCER; IDENTIFICATION; CARCINOMA; ACCURACY; PROSTATE; REGISTRY;

D O I：

10.1200/GO.22.00222

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

PURPOSE We developed algorithms to identify patients with newly diagnosed cancer from a Japanese claims database to identify the patients with newly diagnosed cancer of the sample population, which were compared with the nationwide cancer incidence in Japan to assess the validity of the novel algorithms. METHODS We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines (algorithm 2). Patients with newly diagnosed cancer were identified from an anonymized commercial claims database (JMDC Claims Database) in 2017 with two inclusions/exclusion criteria: selecting all patients with cancer (extract 1) and excluding patients who had received cancer treatments in 2015 or 2016 (extract 2). We estimated the cancer incidence of the five cancer sites and compared it with the Japan National Cancer Registry incidence (calculated standardized incidence ratio with 95% CIs). RESULTS The number of patients with newly diagnosed cancer ranged from 219 to 17,840 by the sites, algorithms, and exclusion criteria. Standardized incidence ratios were significantly higher in the JMDC Claims Database than in the national registry data for extract 1 and algorithm 1, extract 1 and algorithm 2, and extract 2 and algorithm 1. In extract 2 and algorithm 2, colorectal cancer in male and stomach, lung, and cervical cancers in females showed similar cancer incidence in the JMDC and national registry data. CONCLUSION The novel algorithms are effective for extracting information about patients with cancer from claims data by using the combined information on diagnosis, procedures, and medicines (algorithm 2), with 2-year cancer-treatment history as an exclusion criterion (extract 2).

引用

页数：16

共 21 条

[1] Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer [J].