This video is one segment in a series of videos from ResDAC’s Introduction to the Use of M
This video is one segment in a series of videos from ResDAC’s Introduction to the Use of Medicare Part D Data
CMS is pleased to announce the release of the Preliminary 2022 Medicare Advantage (MA, also known as Part C) Encounter Research Identifiable Files (RIFs). Beginning with 2019 data, CMS releases a “Preliminary” version of the Medicare Advantage Encounter RIFs for each service year to give researchers earlier access to Encounter data in the research file format.
CMS is pleased to announce the availability of a set of Research Identifiable Files (RIFs) from the CMS Innovation Center's Oncology Care Model (OCM).
The Current Clinical Status File includes information on the reported Current Clinical Status (CCS) for a patient. CCS was required to be reported at least once for each episode, as well as whenever there was a change in the CCS.
This file contains CCS information submitted for the third through eleventh OCM performance periods (episodes initiating July 2, 2017 - December 31, 2021), primarily including data reported by OCM participants to the Oncology Care Model Registry (OCMR).
What does this file include? (variable highlights)
Special Considerations
The Clinical and Staging file includes information about the episodes, the practice ID to which they were attributed, their beginning and end dates, their cancer types, and the clinical and staging characteristics that were required to be reported.
This file contains data for the third through eleventh OCM performance periods (episodes initiating July 2, 2017 - December 31, 2021), primarily including data reported by OCM participants to the Oncology Care Model Registry (OCMR).
What does this file include? (variable highlights)
Special Considerations
The Oncology Care Model (OCM) operated from July 2016-June 2022 and aimed to provide higher quality, precisely coordinated oncology care at the same or lower cost to Medicare.
Under OCM, physician practices entered into payment arrangements with CMS that included financial and performance accountability for episodes of care surrounding chemotherapy administration to cancer patients. The practices which participated in OCM committed to providing enhanced services to Medicare beneficiaries such as care coordination, navigation, and adherence to national treatment guidelines for care.
OCM participants submitted staging and clinical data to the OCM Data Registry, a web-based data submission and collection tool, for their attributed episodes.
The data from the Oncology Care Model (OCM) is a set of two linkable files, which are both provided for a research request (i.e., cannot be requested separately):
The data includes information about the care episodes, the practice ID to which they were attributed, episode beginning and end dates, and the clinical and staging characteristics.
The Medicare Bayesian Improved Surname Geocoding (MBISG) research data is a snapshot file that contains race and ethnicity probabilities for Medicare beneficiaries enrolled on March 1, 2023.
The MBISG algorithm was developed by CMS to augment existing race and ethnicity data from the Social Security Administration and produce more accurate indirect estimates of the race and ethnicity of the Medicare beneficiary population. The MBISG data includes a set of probabilities that the beneficiary is a member of six racial and ethnic groups: American Indian or Alaska Native (AI/AN), Asian American and Native Hawaiian or Other Pacific Islander (AA and NHPI), Black, Hispanic, Multiracial, or White. MBISG probabilities are based on U.S. Census Bureau data on race and ethnicity distributions by surname and Census block group, as well as CMS’s race and ethnicity administrative data and additional administrative elements including first name, demographics, and coverage characteristics.
The MBISG data consists of a single file that contains the race and ethnicity probabilities of Medicare beneficiaries enrolled on March 1, 2023. In addition, the file contains a variable that represents the probability that a beneficiary prefers Spanish language survey material.
The cohort may be linked to claims or Medicare eligibility data using the Beneficiary ID.
What does this file include? (variable highlights)
Special Considerations
The MBISG dataset is separate from CCW’s Master Beneficiary Summary File (MBSF), which is partitioned by calendar year. The MBISG dataset will overlap with MBSF files, but the cohort does not match exactly to any given MBSF calendar year dataset.
For more information about the MBISG data, please contact mbisg@cms.hhs.gov.
CMS is pleased to announce the availability of a new Research Identifiable File (RIF) that utilizes the Medicare Bayesian Improved Surname Geocoding (MBISG) algorithm to predict the race and ethnicity of Medicare beneficiaries.
