Linkage of Medicaid Enrollment Information to Surveillance, Epidemiology and End Results Data

Background: The SEER database collects data about people with cancer. SEER stands for Surveillance, Epidemiology, and End Results. Medicaid is a kind of health insurance. It is for people who have low income or serious medical needs. Many studies have shown that Medicaid recipients with cancer are more likely to be diagnosed later in the disease than people with other insurance. They are also less likely to get treatment. Researchers want to compare Medicaid data and SEER data. They want to make this available to other scientists. Objectives: To link people in the SEER database to Medicaid data for the years around their cancer diagnosis. To create a file that contains SEER case numbers linked to Medicaid numbers. Eligibility: No people are enrolled in this study. Design: The SEER finder file will be securely uploaded to the CMS Data Center. The finder file will be matched against the Medicaid Personal Summary file at the CMS Data Center. If participants appear in both the SEER file and Medicaid file, their data will be extracted. The dates of Medicaid data will be compared with the SEER date of diagnosis. Researchers will see if the Medicaid dates fall in certain periods. These are 12 months before, the month of, and 11 months after diagnosis. If participants are eligible for Medicaid for these periods, a flag will be created in the file. It will note the participants is eligible and why. The SEER finder file will be destroyed. The only data saved will be: Each participant's unique random SEER case number linked to their Medicaid number Monthly flags about Medicaid eligibility

Sex

All

Minimum age

1 Year

Maximum age

120 Years

* INCLUSION:
* Cancer Diagnosis
* Medicaid Member
* Registered within the SEER Program

EXCLUSION:

-None

• DERIVEDHuang J, Shi H, Ge L, Zhu B, Liu J, Wang X, Han Z, Li Q, Wang Z. Epidemiologic and survival analysis of malignant peripheral nerve sheath tumors: a retrospective cohort study. Int J Surg. 2024 Dec 1;110(12):8210-8214. doi: 10.1097/JS9.0000000000001756. No abstract available. PMID 38935102