data.medicaid.gov

Rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019

This table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019.

Freshness

Last posted
Period covered
Update frequency

Dates as CMS lists them in its catalog.

Columns 4

ColumnWhat it meansType
Statestatetext
Rate per 1000 births 2017rate_per_1000_births_2017text
Rate per 1000 births 2018rate_per_1000_births_2018text
Rate per 1000 births 2019rate_per_1000_births_2019text

At a glance

Catalog
data.medicaid.gov
Publisher
Centers for Medicare & Medicaid Services (CMS), data.medicaid.gov
Rows
53
Columns
4
State column
state
Topics
Medicaid and CHIP
Contact
Medicaid.gov@cms.hhs.gov

API

Free, no key needed. This request returns the first 10 rows as JSON:

https://data.medicaid.gov/api/1/datastore/query/0563d88c-8fe5-42a8-9d69-f67fd21c0e91/0?limit=10

To keep only one state, filter on the state column.

CMS's description

This table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019. Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Values for Maryland were excluded due to unusable diagnosis codes in the IP file and the OT file in 2017. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2019. In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*). Please refer to the DQ Atlas for more information about data quality assessment methods.

The summary at the top is the first sentence of this description. Record id mcd:0563d88c-8fe5-42a8-9d69-f67fd21c0e91. This record as JSON.

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