Rate of Neonatal Abstinence Syndrome per 1,000 Newborn Stays by County of Residence FYs 2016-2017 Health Care Cost Containment Council (PHC4)
data.pa.gov | Last Updated 17 Oct 2022Countywide counts of newborn hospital stays with Neonatal Abstinence Syndrome (NAS) and countywide rates of newborn hospital stays with (NAS) per 1,000 newborn stays. Neonatal Abstinence Syndrome, or neonatal drug withdrawal, is an array of problems that develops shortly after birth in newborns who were exposed to addictive drugs, most often opioids, while in the mother’s womb. Withdrawal signs develop because these newborns are no longer exposed to the drug for which they have become physically dependent. This analysis is restricted to newborns with Pennsylvania-state residence who were hospitalized in Pennsylvania hospitals. Disclaimer: Pennsylvania Health Care Cost Containment Council (PHC4) database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers. PHC4 agents and staff make no representation, guarantee, or warranty, expressed or implied that the data received from the hospitals are error-free, or that the use of this data will prevent differences of opinion or disputes with those who use published reports or purchased data. PHC4 will bear no responsibility or liability for the results or consequences of its use.
This dataset has the following 13 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| County Name | county_name | text | Geographic region in Pennsylvania representing the county where the newborn has residence. Special values: COMMONWEALTH = Pennsylvania commonwealth total (across all counties, including the totals of the suppressed county lines). Other names are for Pennsylvania's 67 counties. | ADAMS FULTON CLEARFIELD MONROE BEDFORD view top 100 |
| FIPS County Code | fips_county_code | text | The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. The first 2 digits represent Pennsylvania state code that being '42'. The next 3 digits represent the county FIPS code. More information listed in the State FIPS code and County FIPS code columns where this 5-digit codes is broken out as the 2-digit State code and 3-digit county code respectively. Values: 42000=Pennsylvania commonwealth total 42001=Adams 42003=Allegheny … 42133=York | 42069 42067 42089 42091 42131 view top 100 |
| State FIPS Code | state_fips_code | text | These are the first 2 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/library/reference/code-lists/ansi.htmlValue:42= Pennsylvania | 42 view top 100 |
| County FIPS Code | county_fips_code | text | The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county. Values: 000=Pennsylvania commonwealth total 001=Adams 003=Allegheny … 133=York | 067 069 065 001 129 view top 100 |
| County Code | county_code | text | Two-digit code which uniquely identifies each county. Values: 00=Pennsylvania commonwealth total 01=Adams 02=Allegheny … 67=York Column is a text field to include the leading zeroes to match to other files. | 13 28 01 39 19 view top 100 |
| Latitude/Longitude | latitude_longitude | location | Latitude and longitude; one point within each county to help create a map of Pennsylvania counties and define boundary lines. | view top 100 |
| Time Period | time_period | text | Reporting period that the measurement is based upon; "FY-" prefix is shorthand for "fiscal year", which begins on July 1st of the previous year and ends on June 30th of the stated year | FY 2016 - FY 2017 view top 100 |
| Time Period Date Start | time_period_date_start | calendar_date | Beginning of the reporting period that covers the hospital stay's discharge date | 2015-07-01T00:00:00.000 view top 100 |
| Time Period Date End | time_period_date_end | calendar_date | End of the reporting period that covers the hospital stay's discharge date | 2017-06-30T00:00:00.000 view top 100 |
| Count of Newborn NAS Stays | count_of_newborn_nas_stays | number | Number of newborn hospital stays within reporting time frame that had a diagnosis code for Neonatal Abstinence Syndrome (NAS) and the specified county of residence; Type of Count column provides additional details. | 53 27 11 19 40 view top 100 |
| Type of Count | type_of_count | text | Describes the Type of Count displayed. Values: * “Number of Newborn hospital stays with Neonatal Abstinence Syndrome (NAS)” – indicates the number of newborn NAS stays. * “Not Reported due to Low Volume” – indicates that the count of newborn NAS stays has not been displayed (is blank) due to low volume of NAS cases and/or newborn stays. | Number of Newborn hospital stays with Neonatal Abstinence Syndrome (NAS) Not Reported due to Low Volume view top 100 |
| Rate of Newborn NAS Stays | rate_of_newborn_nas_stays | number | Calculated rate of Neonatal Abstinence Syndrome (NAS) per 1000 newborn hospital stays for the county of residence during the specified timeframe; Type of Rate column provides additional details. | 13.7 3.2 15.7 8.4 36.1 view top 100 |
| Type of Rate | type_of_rate | text | Describes the Type of Rate displayed. Values: * “Rate of newborn hospital stays with Neonatal Abstinence Syndrome (NAS) per 1000 newborn hospital stays” indicates the number of newborn hospital stays diagnosed with NAS divided by the total number of newborn hospital stays for that county; that percentage is then multiplied by 1000 and rounded to the nearest tenth. * “Not Reported due to Low Volume” – indicates that the rate of newborn NAS stays has not been displayed (is blank) due to low volume of NAS cases and/or newborn stays. | Rate of newborn hospital stays with Neonatal Abstinence Syndrome (NAS) per 1000 newborn hospital stays Not Reported due to Low Volume view top 100 |