This indicator includes the number of days hospitalized for opioid use and the estimated lost wages due to hospitalization (PHC4 Data). This value is the product of the number of days hospitalized and the average weekly wages for county of residence—as reported by the Bureau of Labor Statistics—divided by seven.
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.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.

The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.

View trends in overdose rates for Any Drug Overdoses, Any Opioid Overdoses and Heroin Overdoses at the state and county level by Patient Residence Location.
Please see Overdose Data Technical Notes for additional details: http://www.health.pa.gov/Your-Department-of-Health/Offices%20and%20Bureaus/PaPrescriptionDrugMonitoringProgram/Documents/OverdoseDataTechnicalNotes.pdf

This dataset contains summary information on opioid drug seizures and arrests made by Pennsylvania State Police (PSP) personnel, stationed statewide, on a quarterly basis. Every effort is made to collect and record all opioid drug seizures and arrests however, the information provided may not represent the totality of all seizures and opioid arrests made by PSP personnel.
Data is currently available from January 1, 2013 through most current data available.
Seizure
Opioids seized as a result of undercover buys, search warrants, traffic stops and other investigative encounters.
An incident is a Pennsylvania State Police (PSP) recorded violation of the Controlled Substance Act and an entry into the PSP Statistical Narcotics System.
By regulation, entry is made by the PSP as stated in PSP Administrative Regulation 9-6:
When violations of The Controlled Substance, Drug, Device and Cosmetic Act are reported, the required statistical information concerning the incident shall be entered into the Statistical Narcotic Reporting System (SNRS).
Incidents may include undercover buys, search warrants, traffic stops and other investigative encounters
So, an “incident” is not based on any arrest, but on a reported violation, though it often can include arrests.
The incidents that are selected and forwarded to the portal are those that include a record of one or more seizures of the opioid drugs. In turn, a subset of those selected incidents also contains a record of one or more arrests.
This is PSP data only, it would not include any Federal case/incident data.

This indicator includes the number of days hospitalized for Opioid Use Disorder and the estimated lost wages due to hospitalization.
This data view is filtered by Annual date and All Ages for All genders based from the original dataset.

The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.

This is a link to the United States Federal Government's Open Data Portal. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations.

Check out the attachment in the metadata detailing all the Opioid Related datasets contained in this portal.

Data.gov is the federal government’s open data site, and aims to make government more open and accountable. Opening government data increases citizen participation in government, creates opportunities for economic development, and informs decision making in both the private and public sectors.

Links included for Center for Disease Control and Prevention both the business website and their Data and Statistics website.

View trends in overdose rates for Any Drug Overdoses, Any Opioid Overdoses and Heroin Overdoses at the state and county level.
Please see Overdose Data Technical Notes for additional details: http://www.health.pa.gov/Your-Department-of-Health/Offices%20and%20Bureaus/PaPrescriptionDrugMonitoringProgram/Documents/OverdoseDataTechnicalNotes.pdf

View trends in overdose rates for Any Drug Overdoses, Any Opioid Overdoses and Heroin Overdoses at the state and county level.
Please see Overdose Data Technical Notes for additional details: http://www.health.pa.gov/Your-Department-of-Health/Offices%20and%20Bureaus/PaPrescriptionDrugMonitoringProgram/Documents/OverdoseDataTechnicalNotes.pdf

The CDC is one of the major operating components of the Department of Health and Human Services. View CDC’s Official Mission Statements/Organizational Charts to learn more about CDC′s organizational structure.

CDC works 24/7 to protect America from health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad, are chronic or acute, curable or preventable, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same.

CDC increases the health security of our nation. As the nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish our mission, CDC conducts critical science and provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise.