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.

The intent of the data is to provide an overview of cumulative state and federal expenditures dedicated to COVID-19 preparedness and response. Where applicable, detail information is provided at the agency/fund/commitment-item level. Scope of data includes expenditures attributed to federal funding provided through the Coronavirus Aid, Relief, and Economic Security Act (“CARES Act”) (PL 116-136), the Coronavirus Preparedness and Response Supplemental Appropriations Act (PL 116-123), the Families First Coronavirus Response Act (PL 116-127), and the Robert T. Stafford Disaster Relief and Emergency Assistance Act (“Stafford Act”)(PL 100-707); state expenditures attributed to the Governor’s disaster proclamation; and all other state expenditures incurred in response to the COVID-19 pandemic. Due to non-applicability and/or immateriality, state expenditures uniquely assigned as matching funds for federal awards are not included within the detail. In most circumstances, federal matching requirements were waived in response to COVID-19.

Expenditure data contained within the dataset is extracted from the Funds Management (FM) module of the Commonwealth’s accounting system (SAP). Expenditures, reported as cumulative through the end of the defined reporting period, are generally recognized and recorded when a liability to make a payment is incurred, regardless of when the cash disbursement is to be made. Unique account assignments have been established and utilized independently by each Commonwealth agency/program to distinguish expenditures attributed to the COVID-19 pandemic.

Please note that the data reported may not reconcile directly to spending reported to the federal government for the same period due to differences in how spending is grouped or classified, or due to specific data submission requirements.

This dataset contains the total counts of PA Department of Human Services (DHS) Medical Assistance (MA) individuals diagnosed with Opioid Use Disorder (OUD) or OUD Poisoning. Also included are individuals receiving MAT (Medication assisted treatment - the use of medications in combination with counseling and behavioral therapies for the treatment of substance use disorders.) NOT diagnosed in the same period. Counts are reported by case county and cover calendar years 2015 - 2017.

View quarterly trends in Risky Prescribing Measures, including:
o Number/Rate of Individuals Seeing 5+ Prescribers and 5+ Dispensers: Number of individuals who received prescriptions from 5 or more prescribers AND 5 or more dispensers for any Schedule II-V substance in a 3-month period. This measure is also referred to as Multiple Provider Episodes. County rates are calculated based on the location of the prescriber seen by a patient meeting these criteria.
o Number/Rate of Individuals with an Average Daily MME >50, >90 or >120: Average Daily MME is calculated as the sum of the total MME on each day in a time period based on all prescriptions an individual has filled divided by the number of days in the prescription(s). Measures include the number and rate of individuals prescribed greater than 50 MME per day, greater than 90 MME per day, or greater than 120 MME per day and is based on the individual’s county of residence.
o Number/Rate of Individuals with Overlapping Opioid/Benzodiazepine Prescriptions per 1,000 Population: Number of individuals receiving overlapping opioid and benzodiazepine prescriptions during a given quarter. This measure is based on the patients’ county of residence.
Please see PDMP Data Technical Notes for additional details: https://www.health.pa.gov/topics/programs/PDMP/Pages/Data.aspx

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 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.

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.

The county aggregate number of individuals on Medicaid who have filled a Naloxone Prescription. This includes all individuals on Medicaid. Naloxone is an opioid antagonist. It acts on the CNS to block the effects of narcotics, especially the "high'' feeling that makes you want to use them. It will not produce any narcotic-like effects or cause mental or physical dependence. Numbers are for the Calendar Year.

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.