Prescription Drug Monitoring Programs and Prescription Opioid-Related Outcomes in the United States.
2020
Prescription drug monitoring programs (PDMPs) are a crucial component of federal and state governments' response to the opioid epidemic. Evidence about the effectiveness of PDMPs in reducing prescription opioid-related adverse outcomes is mixed. We conducted a systematic review to examine whether PDMP implementation within the U.S. is associated with changes in four prescription opioid-related outcome domains: opioid prescribing behaviors, opioid diversion and supply, opioid-related morbidity and substance use disorders, and opioid-related mortality. We searched for eligible publications in Embase, Google Scholar, MEDLINE, and Web of Science. A total of 29 studies, published between 2009 and 2019, met the inclusion criteria. Of the 16 studies examining PDMPs and prescribing behaviors, 11 found that implementing PDMPs reduced prescribing behaviors. All three studies on opioid diversion and supply reported reductions in the examined outcomes. In the opioid-related morbidity and substance use disorders domain, seven out of eight studies found associations with prescription opioid-related outcomes. Four out of eight studies on the opioid-related mortality domain reported reduced mortality rates. Despite the mixed findings, there is emerging evidence that implementation of state PDMPs reduces opioid prescriptions, opioid diversion and supply, and opioid-related morbidity and substance use disorder outcomes. When PDMP characteristics were examined, mandatory access provisions were associated with reductions in prescribing behaviors, diversion outcomes, hospital admissions, substance use disorders, and mortality rates. Inconsistencies in the evidence base across outcome domains are due to analytical approaches across studies and, to some extent, heterogeneities in PDMP policies implemented across states and over time.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
62
References
13
Citations
NaN
KQI