This indicator includes the count and rate of the court of common pleas cases and PHILADELPHIA MUNICIPAL COURT cases with a conviction of offense code 35 P.S. § 780-113(a)(30) and a specified opioid drug per 1,000 court cases in the state of Pennsylvania as well as its counties. This offense code charges defendants with the manufacture or delivery or possession with intent to manufacture or delivery of unlawful substances. Other break downs include by gender and age group along with percentages where rate is not available.
This indicator also includes the count and rate of adult drug court cases from the Administrative Office of Pennsylvania Courts (AOPC) online dashboard. Adult drug court cases were counted as opioid related if the participant identified an opioid as their drug of choice. Adult drug court data is aggregated to annual counts by state and county of jurisdiction.

This indicator includes the count and rate of the court of common pleas cases and PHILADELPHIA MUNICIPAL COURT cases with a conviction of offense code 35 P.S. § 780-113(a)(30) and a specified opioid drug per 1,000 court cases in the state of Pennsylvania as well as its counties. This offense code charges defendants with the manufacture or delivery or possession with intent to manufacture or delivery of unlawful substances. Other break downs include by gender and age group along with percentages where rate is not available.
This indicator also includes the count and rate of adult drug court cases from the Administrative Office of Pennsylvania Courts (AOPC) online dashboard. Adult drug court cases were counted as opioid related if the participant identified an opioid as their drug of choice. Adult drug court data is aggregated to annual counts by state and county of jurisdiction.

This dataset summarizes the number of dependent children (less than 18 years old) removed from households in the 2017 and 2018 federal fiscal years due to parental drug abuse. The data indicates if the children were placed in kinship care or not.
*Kinship care refers to the care of children by relatives or, in some jurisdictions, close family friends (often referred to as fictive kin). Relatives are the preferred resource for children who must be removed from their birth parents because it maintains the children's connections with their families.

This dataset summarizes the number of dependent children (less than 18 years old) removed from households in the 2017 and 2018 federal fiscal years due to parental drug abuse.

This dataset summarizes the number of dependent children (less than 18 years old) removed from households in the 2017 and 2018 federal fiscal years due to parental drug abuse. The data indicates if the children were placed in kinship care or not.
*Kinship care refers to the care of children by relatives or, in some jurisdictions, close family friends (often referred to as fictive kin). Relatives are the preferred resource for children who must be removed from their birth parents because it maintains the children's connections with their families.

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.

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 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 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 visual is created from the dataset which summarizes the number of women (12 to 55 years old) with a delivery and indicates how many of those women were diagnosed with opioid use disorder (OUD) during their pregnancy. Delivery includes live birth or stillbirth. Data collection started in 2016 and will be updated quarterly as data becomes available.

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.