This data set includes the estimated number of individuals in Pennsylvania with Drug Use Disorder, which is an approximation for Opioid Use Disorder prevalence. The estimates are developed by applying mortality weights derived from the CDC’s National Center for Health Statistics to statewide illicit drug use estimates from the National Survey on Drug Use and Health (NSDUH, sponsored by the Substance Abuse and Mental Health Services Administration).

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 - 2018.

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. Limited to the Newly Eligible (Under the Medical Assistance Expansion Program. Find more information here: http://www.dhs.pa.gov/cs/groups/webcontent/documents/document/c_257436.pdf) segment of DHS population. Internally defined as DHS Category of Assistance = MG (Modified Adjusted Gross Income - MAGI) MG and Program Status = 91 (Newly Eligible). Counts are reported by Pennsylvania case county and covers calendar years 2015 -2018.

This dataset is quarterly Department of Corrections department-wide data including inmate drug finds per 1,000, percent of random positive drug tests, inmate on staff assaults per 1,000, inmate on inmate assaults per 1,000, number of written drug misconduct charges per 1,000, violence per 1,000, inmate ER trips per 1,000, inmate drug overdoses per 1,000, and number of drug exposure Emergency Room trips for staff.
Null field signifies the data was not available yet.

The county aggregate number of individuals on Medical Assistance (MA, 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 and updated with as current as possible until the next data refresh.

Percent of hospitalizations for opioid overdose, categorized by a principal diagnosis of heroin overdose or opioid pain medication overdose, with specified anticipated primary payer as listed in the hospital record.

This analysis is restricted to Pennsylvania residents age 15 and older who were hospitalized in Pennsylvania general acute care hospitals.

This indicator includes the hospitalization count and rate of hospitalization per 1,000 individuals estimated to have Drug Use Disorder for any of the following reasons: Opioid Use Disorder (OUD), Cellulitis, Osteomyelitis, Endocarditis, Soft skin tissue infection, or 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.

NOTE:
This data set measures how many hospitalizations per 1,000 individuals are primarily for conditions related to opioid use. Each of the categories in this data set—Opioid Use Disorder, Intracranial and intraspinal Abscess, Osteomyelitis, Endocarditis, Soft skin tissue infection (Cellulitis), and Viral Hepatitis (B, C, and D)—measure the number of individuals with a primary diagnosis for that condition on their hospitalization record. Each of those records, except for Opioid Use Disorder, must also have at least one secondary diagnosis for Opioid Use Disorder. The full list of ICD-10 codes used to identify these conditions are in the excel spreadsheet listed under attachments below.

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 contains summary information by county on Incidents involving Drug and Alcohol reported use in Schools.
School categories are Public School, Charter, Intermediate, Vo-Tech, Non-Public and other.
The data count fields are suppressed when less than 11.
The data and more information is also published and searchable online on the https://www.education.pa.gov/Schools/safeschools/Pages/default.aspx website under School Safety.
Here are the infraction codes and definitions that are utilized within this report as found within appendix Z of the PIMS manual:
http://www.education.pa.gov/Documents/Teachers-Administrators/PIMS/PIMS%20Manuals/2017-2018%20PIMS%20Manual%20Vol%202.pdf

This indicator includes the count and rate of newly diagnosed cases of Hepatitis C per 1,000 individuals estimated to have Drug Use Disorder.