Dispensation Data without Buprenorphine Quarter 3 2016 - Current Quarterly County Health
data.pa.gov | Last Updated 14 Dec 2023View 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.
This dataset has the following 18 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| County Name | county_name | text | Pennsylvania County name; includes PENNSYLVANIA for the statewide rates | Adams Allegheny Armstrong Beaver Bedford view top 100 |
| Rate or Count | rate_or_count | number | Number of or calculated dispensation rate for each county and PENNSYLVANIA for opioid prescriptions that have been filled by a dispensary and given to a patient. Blank field indicates data was suppressed due to count between 1 and 5. | 0 11 20 17 24 view top 100 |
| Type of Drug Class | type_of_drug_class | text | Identifies the group of drugs being reported on. Opioids (All Schedule) - excluding buprenorphine - includes Schedule II - V opioid dispensations except buprenorphine dispensations (https://uscode.house.gov/view.xhtml;jsessionid=2C85B8DEBFB1BB15A7D31E29A34C3DAA?req=granuleid%3AUSC-prelim-title21&saved=%7CZ3JhbnVsZWlkOlVTQy1wcmVsaW0tdGl0bGUyMS1zZWN0aW9uODAx%7C%7C%7C0%7Cfalse%7Cprelim&edition=prelim ) dispensation = a prescription that has been filled by a dispensary and given to a patient | Opioids (All Schedules) - excluding Buprenorphine view top 100 |
| Type of Rate or Count Measure | type_of_rate_or_count_measure | text | Identifies whether the Rate or Count Column displays the count of dispensations filled by a dispensary and given to a patient or the Rate of Dispensations per 1000 Residents - calculated using quarterly counts as numerators and county populations as denominators; based on the location of the dispensary | Number of Dispensations (by pharmacy location) Number of Prescriptions (by patient location) Rate of Dispensations (by pharmacy location) per 10,000 Population Rate of Prescriptions (by patient location) per 10,000 Population view top 100 |
| Age Group | age_group | text | Indicates whether data represents total age population (All Ages) or specific Age Groups, including 0-14 years of age, 15-24 years of age, 25-34 years of age, 35-44 years of age, 45-54 years of age, 55-64 years of age or 65 and older (65+). | All Ages 15-24 25-34 35-44 0-14 view top 100 |
| Gender | gender | text | Indicates whether data represents both genders (All Genders) or separate values for Males and Females. | All Genders Female Male view top 100 |
| Time Measure | time_measure | text | Time frame the rate is based on | Quarterly Counts Quarterly Rates view top 100 |
| Year | year | text | Calendar Year the data is based on | 2022 2017 2018 2019 2020 view top 100 |
| Time Period | time_period | text | Timeframe for calculated rate in the format of Year and Calendar Quarter (YYYY QQ) | 2016 Q3 2016 Q4 2017 Q1 2017 Q2 2017 Q3 view top 100 |
| Quarter Date Start | quarter_date_start | calendar_date | Start date for the Quarter for which the data is being reported | 2016-07-01T00:00:00.000 2016-10-01T00:00:00.000 2017-01-01T00:00:00.000 2017-04-01T00:00:00.000 2017-07-01T00:00:00.000 view top 100 |
| Notes | notes | text | Provides information about data suppression | Not displayed when count is between 1 and 5. view top 100 |
| County Code Number | county_code_number | number | There are 67 counties in Pennsylvania. They are number 01 through 67 in alphabetical order; 00 identifies the statewides totals. | 0 1 2 3 4 view top 100 |
| County Code Text | county_code_text | text | There are 67 counties in Pennsylvania. They are number 01 through 67 in alphabetical order; 00 identifies the statewides totals. This column has the codes formatted as text fields to integrate with other files where county codes are used in place of names and for easier coding within certain software | 00 01 02 03 04 view top 100 |
| State FIPS Code | state_fips_code | text | These are the first 2 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/library/reference/code-lists/ansi.html | 42 view top 100 |
| County FIPS Code | county_fips_code | text | The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county. | 000 001 003 005 007 view top 100 |
| Latitude | latitude | text | This includes a generic point of Latitude for each county and a generic point for the state of PA to help with creating visuals such as maps. If the statewide total for PA should be shown on the map, this latitude provides the means to show the statewide total at the SE part of PA actually in Maryland, so that the statewide total can be shown on on the map without adding to the total within another county. | 39.346129 39.85480393 39.87209565 39.91657867 39.9194478 view top 100 |
| Longitude | longitude | text | This includes a generic point of Longitude for each county and a generic point for the state of PA to help with creating visuals such as maps. If the statewide total for PA should be shown on the map, this latitude provides the means to show the statewide total at the SE part of PA actually in Maryland, so that the statewide total can be shown on on the map without adding to the total within another county. | -75.03270924 -75.11291241 -75.140236 -75.167756 -75.3051535 view top 100 |
| Georeferenced Latitude & Longitude | geocoded_column | point | This includes a georeferenced generic point of Longitude for each county and a generic point for the state of PA to help with creating visuals such as maps. If the statewide total for PA should be shown on the map, this latitude provides the means to show the statewide total at the SE part of PA actually in Maryland, so that the statewide total can be shown on on the map without adding to the total within another county. | {"coordinates":[-75.60099481,40.61464794],"type":"Point"} {"coordinates":[-78.34907687,40.48555024],"type":"Point"} {"coordinates":[-77.25788076,41.77333834],"type":"Point"} {"coordinates":[-76.25138768,40.04590796],"type":"Point"} {"coordinates":[-76.72576052,39.92192531],"type":"Point"} view top 100 |