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PROC SQL programming codes and statistical programs to extract, identify, and analyze trends in patients with multiple provider episodes

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MultipleProviderEpisodes

This repository contains a series of SAS programming codes to extract, identify, and analyze trends in patients with multiple provider episodes using PROC SQL.

About this example

This example uses a variety of basic and advanced SAS programming procedures, such as macro variables, SQL, SAS Views, and formats, to work with prescription drug monitoring program data.

According to the PDMP Training and Technical Assistance Center, "Prescription Drug Monitoring Programs (PDMPs) are highly effective tools utilized by government officials for reducing prescription drug abuse and diversion. PDMPs collect, monitor, and analyze electronically transmitted prescribing and dispensing data submitted by pharmacies and dispensing practitioners. The data are used to support states’ efforts in education, research, enforcement and abuse prevention. PDMPs are managed under the auspices of a state, district, commonwealth, or territory of the United States."

This SAS program may be resuable to other pharmacy claims data that has at least a date variable for the prescription transaction, a unique patient identifier, a prescriber/provider identifier, and a pharmacy/dispensary identifier.

Data Preparation

This SAS program assumes users are familiar with the CDC's MME Opioid Conversion Reference Table and PDMP data. See the following links for more information:

What are PDMPS? http://www.pdmpassist.org/content/prescription-drug-monitoring-frequently-asked-questions-faq

CDC Resource for PDMP Data https://www.cdc.gov/drugoverdose/resources/data.html

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PROC SQL programming codes and statistical programs to extract, identify, and analyze trends in patients with multiple provider episodes

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