This indicator includes the rate of hospitalization per 1,000 individuals estimated to have Opioid Use Disorder (OUD) for Opioid Use Disorder, Intracranial and intraspinal Abscess, Osteomyelitis, Endocarditis, Soft skin tissue infection, and Viral Hepatitis (B, C, and D) for individuals diagnosed with OUD in the same calendar year. Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH. PHC4’s 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.
This dataset has the following 22 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| Geographic Area | geographic_area | text | Region for measure, either total for Commonwealth or individual county. | State view top 100 |
| Geographic Name | geographic_name | text | Name of geographic area. | Commonwealth view top 100 |
| Gender | gender | text | Gender of individuals hospitalized. | Female Male view top 100 |
| Age | age | text | Age of individuals hospitalized (12 years and above). | All (12 to 100 years) view top 100 |
| Year | year | text | Calendar year for measurement (January 1–December 31). | 2020 2016 2019 2017 2018 view top 100 |
| Time Period | time_period | text | Period for measurement (annual, federal fiscal year, or quarterly, if available). | 2020 Q3 2020 Q2 2019 Q1 2019 Q3 2020 Q4 view top 100 |
| Time Period Dates | time_period_dates | text | Start and end dates of time period. | 1/1/2016-3/31/2016 4/1/2017-6/30/2017 7/1/2016-9/30/2016 10/1/2016-12/31/2016 10/1/2019-12/31/2019 view top 100 |
| Primary Hospitalization | primary_hospitalization | text | Primary diagnosis for hospitalization. | Viral Hepatitis (B, C, and D) Endocarditis Opioid Use Disorder (OUD) Osteomyelitis Cellulitis view top 100 |
| Hospitalization Rate | hospitalization_rate | number | Hospitalization rate for specified opioid use related disease per 1,000 estimated individuals with Drug Use Disorder. | view top 100 |
| Type of Rate | type_of_rate | text | Description of hospitalization rate. | Rate only available for annual data view top 100 |
| Hospitalization Count | hospitalization_count | number | Number of unique individuals hospitalized for specified opioid use related disease in given time frame. | 13 26 11 15 23 view top 100 |
| Hospitalization Count Description | hospitalization_count_1 | text | Describes hospitalization count. | Number of unique individuals hospitalized for Opioid Use Disorder (OUD) Number of unique individuals with OUD hospitalized for Endocarditis Number of unique individuals with OUD hospitalized for Osteomyelitis Number of unique individuals with OUD hospitalized for Intracranial and Intraspinal Abscess Number of unique individuals with OUD hospitalized for Viral Hepatitis (B, C, and D) view top 100 |
| Hospitalization Count Notes | hospitalization_count_notes | text | Indicates if the number of unique individuals primarily hospitalized with the specified opioid use related disease has been suppressed to protect confidentiality. Counts less than 11 are not provided. | Not displayed when total number of unique individuals hospitalized for Opioid Use Disorder (OUD) is less than 11 Not displayed when total number of unique individuals hospitalized for Intracranial and Intraspinal Abscess is less than 11 Not displayed when total number of unique individuals hospitalized for Osteomyelitis is less than 11 Not displayed when total number of unique individuals hospitalized for Viral Hepatitis (B, C, and D) is less than 11 Not displayed when total number of unique individuals hospitalized for Cellulitis is less than 11 view top 100 |
| Drug Use Disorder Estimate | oud_estimate | number | Estimated number of individuals with Drug Use Disorder. | view top 100 |
| Drug Use Disorder Estimate Description | oud_estimate_description | text | Describes number of estimated individuals with Drug Use Disorder. | Drug Use Disorder Estimate only available for annual data view top 100 |
| Drug Use Disorder Estimate Notes | oud_estimate_notes | text | Indicates if the estimated number of individuals with Drug Use Disorder has been suppressed to protect confidentiality. Counts less than 11 are not provided. | Drug Use Disorder Estimate only available for annual data view top 100 |
| County Code Number | county_code_number | number | Pennsylvania county code provided as a number (1-67 for counties, 0 for Commonwealth). | 0 view top 100 |
| County Code Text | county_code_text | text | Pennsylvania county code provided as text (1-67 for counties sorted alphabetically, 0 for Commonwealth). | 0 view top 100 |
| State FIPS Code | state_fips_code | text | 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. | 42 view top 100 |
| County FIPS Code | county_fips_code | text | Last 3 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the county 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. | 0 view top 100 |
| Latitude | latitude_longitude | text | A generic latitudinal point within the county. A point is also provided for outside of the state (on a map it will sit to the southeast of the state). This number represents the total number for the state and this location provides a spot on a map to display the PA number without having it duplicate within a county when using in a mapping visual. | 39.346129 view top 100 |
| Georeferenced Latitude & Longitude | geocoded_column | point | A generic georeferenced Latitude & Longitude point within the county. These points can be used to create visualizations such as maps to show the data by county. A point is also provided for outside of the state (on a map it will sit to the southeast of the state). This number represents the total number for the state and this location provides a spot on a map to display the PA number without having it duplicate within a county when using in a mapping visual. | {"coordinates":[-75.167756,39.346129],"type":"Point"} view top 100 |