TY - JOUR
T1 - Effect of Automated Prescription Drug Monitoring Program Queries on Emergency Department Opioid Prescribing
AU - Sun, Benjamin C.
AU - Charlesworth, Christina J.
AU - Lupulescu-Mann, Nicoleta
AU - Young, Jenny I.
AU - Kim, Hyunjee
AU - Hartung, Daniel M.
AU - Deyo, Richard A.
AU - McConnell, K. John
N1 - Funding Information:
Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see www.icmje.org). The authors have stated that no such relationships exist. This study was supported by National Institutes of Health (NIH) grant R01DA036522.
Publisher Copyright:
© 2017 American College of Emergency Physicians
PY - 2018/3
Y1 - 2018/3
N2 - Study objective: We assess whether an automated prescription drug monitoring program intervention in emergency department (ED) settings is associated with reductions in opioid prescribing and quantities. Methods: We performed a retrospective cohort study of ED visits by Medicaid beneficiaries. We assessed the staggered implementation (pre-post) of automated prescription drug monitoring program queries at 86 EDs in Washington State from January 1, 2013, to September 30, 2015. The outcomes included any opioid prescribed within 1 day of the index ED visit and total dispensed morphine milligram equivalents. The exposure was the automated prescription drug monitoring program query intervention. We assessed program effects stratified by previous high-risk opioid use. We performed multiple sensitivity analyses, including restriction to pain-related visits, restriction to visits with a confirmed prescription drug monitoring program query, and assessment of 6 specific opioid high-risk indicators. Results: The study included 1,187,237 qualifying ED visits (898,162 preintervention; 289,075 postintervention). Compared with the preintervention period, automated prescription drug monitoring program queries were not significantly associated with reductions in the proportion of visits with opioid prescribing (5.8 per 1,000 encounters; 95% confidence interval [CI] –0.11 to 11.8) or the amount of prescribed morphine milligram equivalents (difference 2.66; 95% CI –0.15 to 5.48). There was no evidence of selective reduction in patients with previous high-risk opioid use (1.2 per 1,000 encounters, 95% CI –9.5 to 12.0; morphine milligram equivalents 1.22, 95% CI –3.39 to 5.82). The lack of a selective reduction in high-risk patients was robust to all sensitivity analyses. Conclusion: An automated prescription drug monitoring program query intervention was not associated with reductions in ED opioid prescribing or quantities, even in patients with previous high-risk opioid use.
AB - Study objective: We assess whether an automated prescription drug monitoring program intervention in emergency department (ED) settings is associated with reductions in opioid prescribing and quantities. Methods: We performed a retrospective cohort study of ED visits by Medicaid beneficiaries. We assessed the staggered implementation (pre-post) of automated prescription drug monitoring program queries at 86 EDs in Washington State from January 1, 2013, to September 30, 2015. The outcomes included any opioid prescribed within 1 day of the index ED visit and total dispensed morphine milligram equivalents. The exposure was the automated prescription drug monitoring program query intervention. We assessed program effects stratified by previous high-risk opioid use. We performed multiple sensitivity analyses, including restriction to pain-related visits, restriction to visits with a confirmed prescription drug monitoring program query, and assessment of 6 specific opioid high-risk indicators. Results: The study included 1,187,237 qualifying ED visits (898,162 preintervention; 289,075 postintervention). Compared with the preintervention period, automated prescription drug monitoring program queries were not significantly associated with reductions in the proportion of visits with opioid prescribing (5.8 per 1,000 encounters; 95% confidence interval [CI] –0.11 to 11.8) or the amount of prescribed morphine milligram equivalents (difference 2.66; 95% CI –0.15 to 5.48). There was no evidence of selective reduction in patients with previous high-risk opioid use (1.2 per 1,000 encounters, 95% CI –9.5 to 12.0; morphine milligram equivalents 1.22, 95% CI –3.39 to 5.82). The lack of a selective reduction in high-risk patients was robust to all sensitivity analyses. Conclusion: An automated prescription drug monitoring program query intervention was not associated with reductions in ED opioid prescribing or quantities, even in patients with previous high-risk opioid use.
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U2 - 10.1016/j.annemergmed.2017.10.023
DO - 10.1016/j.annemergmed.2017.10.023
M3 - Article
C2 - 29248333
AN - SCOPUS:85039039747
SN - 0196-0644
VL - 71
SP - 337-347.e6
JO - Annals of emergency medicine
JF - Annals of emergency medicine
IS - 3
ER -