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Prescription drug monitoring program design and function: A qualitative analysis
Lainie Rutkow1, Katherine C Smith2, Alden Yuanhong Lai1
1Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
Background:
Opioid-related overdose deaths are a major public health challenge. Forty-nine states have implemented Prescription Drug Monitoring Programs (PDMPs) that collect information about individuals' prescription medications. Little is known about state governments' implementation of PDMPs. We conducted semi-structured interviews with PDMP staff, law enforcement officials, and administrative agency employees to learn about their attitudes and experiences with PDMPs.
Methods:
From May 2015 to June 2016, we conducted 37 semi-structured interviews with state actors in four states. Questions focused on interviewees' perceptions about PDMP goals, home agency characteristics, and future PDMP initiatives. States were selected purposively. Interviewees were identified through purposive and snowball sampling.
Results:
Interviewees identified key PDMP goals as: improve patient treatment decisions; influence prescribing practices; assist in the identification of "doctor shoppers"; and serve as a tool for law enforcement. Interviewees identified the following characteristics as key for a PDMP's home agency: regulatory and enforcement authority; intra- and inter-agency collaboration; and commitment to data quality and protection. Interviewees identified three promising areas for future PDMP efforts: data sharing and analysis; integration of PDMP data with electronic medical records; and training for current and potential PDMP users.
Conclusions:
Our findings reveal areas that states may want to prioritize, including improving prescribers' knowledge and use of the PDMP as well as fostering inter-agency collaborations that include PDMP staff. By capitalizing on these opportunities, state governments may improve the effectiveness of their PDMPs, potentially making them more useful tools to curb the morbidity and mortality associated with opioid use disorders.
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