Prescription Drug Monitoring Program: Georgia State Profile (2021)

• NCJ Number: 303646
• Date Published: 2021
• Length: 11 pages
• Grant Number(s): 2017–AR–BX–K003
• Agencies: BJA-Sponsored
• Publication Type: Report (Grant Sponsored)

Annotation

The Prescription Drug Monitoring Program Training and Technical Assistance Center (PDMP TTAC) reports 2020 data and 2021 features of the Georgia State Prescription Drug Monitoring Program (PDMP).

 

Abstract

The acronym of the Georgia PDMP is GA PDMP, which is managed by the Georgia Department of Public Health. Website URLs are provided for the PDMP website and the websites that pertain to enrollment, query, and data upload. Contact information is provided for the PDMP Director. For 2020, the state population was 10,725,274. There were 46,704 DEA-registered prescribers and 2,277 DEA-registered dispensers. The PDMP has 11 types of available reports. The funding sources for the PDMP are the state general fund and a CDC grant. There are four full-time employees and one part-time employee managing operations and one employee responsible for analytical/epidemiological responsibilities. Information on PDMP policies and procedures addresses key dates in the PDMP’s creation and development, access information on relevant statutes and rules, and eight miscellaneous capabilities and policies. The PDMP has a data retention policy. No available or required training on PDMP use is reported.  Law enforcement access to PDMP data requires a subpoena, court order/approval, or a search warrant. A written request is required for law enforcement access. Criteria that must be met to query PDMP are listed. Enrollment in PDMP is required for prescribers, and there is a compliance process for enrollment mandates. Prescribers are required to use PDMP. Veterinarians are not permitted by statute/rule/policy to query the PDMP.  Drug data monitored or accessible include those listed on Schedules II-V. Trends in drug use can be monitored to inform policy. Technological capabilities for data processing are reported, including interstate data sharing, data integration, and probabilistic patient matching.