Dispensation Data without Buprenorphine Quarter 3 2016 - Current Quarterly County Health

View quarterly trends in opioid dispensation data for all Schedule II-V opioids. Please see PDMP Data Technical Notes for additional details: https://www.health.pa.gov/topics/programs/PDMP/Pages/Data.aspx More information from U.S. Department of Justice https://www.deadiversion.usdoj.gov/schedules/ Schedule I Controlled Substances Substances in this schedule have no currently accepted medical use in the United States, a lack of accepted safety for use under medical supervision, and a high potential for abuse. Some examples of substances listed in Schedule I are: heroin, lysergic acid diethylamide (LSD), marijuana (cannabis), peyote, methaqualone, and 3,4-methylenedioxymethamphetamine ("Ecstasy"). Schedule II/IIN Controlled Substances (2/2N) Substances in this schedule have a high potential for abuse which may lead to severe psychological or physical dependence. Examples of Schedule II narcotics include: hydromorphone (Dilaudid®), methadone (Dolophine®), meperidine (Demerol®), oxycodone (OxyContin®, Percocet®), and fentanyl (Sublimaze®, Duragesic®). Other Schedule II narcotics include: morphine, opium, codeine, and hydrocodone. Examples of Schedule IIN stimulants include: amphetamine (Dexedrine®, Adderall®), methamphetamine (Desoxyn®), and methylphenidate (Ritalin®). Other Schedule II substances include: amobarbital, glutethimide, and pentobarbital. Schedule III/IIIN Controlled Substances (3/3N) Substances in this schedule have a potential for abuse less than substances in Schedules I or II and abuse may lead to moderate or low physical dependence or high psychological dependence. Examples of Schedule III narcotics include: products containing not more than 90 milligrams of codeine per dosage unit (Tylenol with Codeine®), and buprenorphine (Suboxone®). Examples of Schedule IIIN non-narcotics include: benzphetamine (Didrex®), phendimetrazine, ketamine, and anabolic steroids such as Depo®-Testosterone. Schedule IV Controlled Substances Substances in this schedule have a low potential for abuse relative to substances in Schedule III. Examples of Schedule IV substances include: alprazolam (Xanax®), carisoprodol (Soma®), clonazepam (Klonopin®), clorazepate (Tranxene®), diazepam (Valium®), lorazepam (Ativan®), midazolam (Versed®), temazepam (Restoril®), and triazolam (Halcion®). Schedule V Controlled Substances Substances in this schedule have a low potential for abuse relative to substances listed in Schedule IV and consist primarily of preparations containing limited quantities of certain narcotics. Examples of Schedule V substances include: cough preparations containing not more than 200 milligrams of codeine per 100 milliliters or per 100 grams (Robitussin AC®, Phenergan with Codeine®), and ezogabine.

Buprenorphine Dispensation Data Quarter 3 2016 - Current Quarterly Statewide Health

View quarterly trends in buprenorphine dispensation data. Please note that buprenorphine data received by the PDMP is restricted to prescriptions filled by pharmacies. The PDMP does not collect information on the reason a controlled substance is prescribed, nor does it collect data from substance abuse treatment facilities or dispensing prescribers providing buprenorphine for substance abuse treatment. Buprenorphine is sometimes prescribed off-label for pain. Please see PDMP Data Technical Notes for additional details: https://www.health.pa.gov/topics/programs/PDMP/Pages/Data.aspx

Risky Prescribing Measures Quarter 3 2016 - Current Quarterly County & Statewide Health

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 patient’s county of residence. o Number/Rate of Individuals Seeing 4+ Prescribers and 4+ 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 patient’s county of residence. o Number/Rate of Individuals Seeing 3+ Prescribers and 3+ 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 patient’s county of residence. 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 patient’s county of residence. o Number/Rate of Individuals with Overlapping Opioid/Benzodiazepine Prescriptions: Number of individuals receiving overlapping opioid and benzodiazepine prescriptions during a given quarter. This measure is based on the patients’ county of residence. o Number/Rate of Individuals with > 30 Days of Overlapping Opioid/Benzodiazepine Prescriptions: Number and rate of individuals receiving overlapping opioid and benzodiazepine prescriptions for 30 days or more during a given quarter using state/county populations as denominators. 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

MUNICIPAL_BOUNDARY

Safe Drinking Water Facilities Information System for Pennsylvania 2018 - Current Environmental Protection

Safe Drinking Water Information System (SDWIS) is EPA’s national database that manages and collects public water system information from states, including reports of drinking water standard violations, reporting and monitoring violations, and other basic information. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This set contains the Water System Facility data, which will be updated annually for the prior calendar year in the first Quarter of the following year.

Emergency Department (ED) Visits for Drug Overdose Identified Through Syndromic Surveillance SFY Quarter 3 2016 - Current Quarterly County Health

Based on Emergency Department (ED) Visits view quarterly 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 Syndromic surveillance is the analysis of medical data to detect or anticipate disease outbreaks. According to a CDC definition, "the term 'syndromic surveillance' applies to surveillance using health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response.

Uninsured Population Census Data 5-year estimates for release years 2017-Current County Human Services and Insurance

The American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation. This dataset provides estimates by county for Health Insurance Coverage and is summarized from summary table S2701: SELECTED CHARACTERISTICS OF HEALTH INSURANCE COVERAGE IN THE UNITED STATES. The 5-year estimates are used to provide detail on every county in Pennsylvania and includes breakouts by Age, Gender, Race, Ethnicity, Household Income, and the Ratio of Income to Poverty. An blank cell within the dataset indicates that either no sample observations or too few sample observations were available to compute the statistic for that area. Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level. While an ACS 1-year estimate includes information collected over a 12-month period, an ACS 5-year estimate includes data collected over a 60-month period. In the case of ACS 1-year estimates, the period is the calendar year (e.g., the 2015 ACS covers the period from January 2015 through December 2015). In the case of ACS multiyear estimates, the period is 5 calendar years (e.g., the 2011–2015 ACS estimates cover the period from January 2011 through December 2015). Therefore, ACS estimates based on data collected from 2011–2015 should not be labeled “2013,” even though that is the midpoint of the 5-year period. Multiyear estimates should be labeled to indicate clearly the full period of time (e.g., “The child poverty rate in 2011–2015 was X percent.”). They do not describe any specific day, month, or year within that time period.

Emissions Inventory System (EIS) Facilities 2017 - Current County Environmental Protection

EPA's Emissions Inventory System (EIS) contains information about sources that emit criteria air pollutants (CAPs) and hazardous air pollutants (HAPs). This data contains the facility information for Pennsylvania counties. EPA collects information about emission sources and releases an updated version of the NEI database every three years. The data made available in the NEI are used for air dispersion modeling, regional strategy development, setting regulations, air toxins risk assessment, and tracking trends in emissions over time. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This data will be updated annually for the prior calendar year in the first Quarter of the following year.

Uninsured Population Census Data CY 2009-2014 Human Services

This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.