Prematurity and severe maternal morbidity among Medicaid- and CHIP-covered live births

CMS's description

This data set includes annual counts and rates of Medicaid- and Children’s Health Insurance Program (CHIP)-covered live-birth deliveries that were preterm or with a severe maternal morbidity (SMM) condition within six weeks before or after delivery. Results are shown overall; by state; and by four subpopulation topics: age group, race and ethnicity, disability-related eligibility category, and type of SMM condition (SMM category only). These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, who were ages 15 to 49 as of their delivery date, who were enrolled in Medicaid or CHIP at any point in the calendar year, and who had a live birth. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and select states with TAF data quality issues are not included. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results for SMM are calculated per 10,000 Medicaid- and CHIP-covered live births. Results for states with TAF data quality issues in the year have a value of "Unusable data." Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Prematurity and severe maternal morbidity among Medicaid- and CHIP-covered live births in 2021." Preterm birth is defined as a live birth that occurs before the 37th week of gestation. SMM deliveries are defined as live births with an SMM condition within six weeks before or after delivery (Identifying Severe Maternal Morbidity (SMM)). Enrollees are assigned to an age group subpopulation using age as of their delivery date. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to a disability category subpopulation using their latest reported eligibility group code and age in the year (Medicaid enrollees who qualify for benefits based on disability in 2020). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

The summary at the top is the first sentence of this description. Record id mcd:ee3b9534-0d19-4c1b-bf74-43f898d5de7c. This record as JSON.