scholarly journals Opioid deaths involving concurrent benzodiazepine use: Assessing risk factors through the analysis of prescription drug monitoring data and postmortem toxicology

2021 ◽  
pp. 108854
Author(s):  
Michael J. Bannon ◽  
Allyson R. Lapansie ◽  
Alaina M. Jaster ◽  
Manal H. Saad ◽  
Jayna Lenders ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prescription Drug ◽  
Drug Monitoring ◽  
Monitoring Data ◽  
Postmortem Toxicology ◽  
Benzodiazepine Use ◽  
Opioid Deaths

Using prescription drug monitoring data to predict prescription opioid misuse

2014 ◽  
Vol 140 ◽  
pp. e121
Author(s):  
Deysia L. Levin ◽  
D. Paone ◽  
E. Tuazon ◽  
E. Goldmann ◽  
G. Li ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Drug Monitoring ◽  
Monitoring Data ◽  
Prescription Opioid ◽  
Opioid Misuse ◽  
Prescription Opioid Misuse

scholarly journals Prescription and Illicit Opioid Deaths and the Prescription Drug Monitoring Program in Florida

2016 ◽  
Vol 106 (6) ◽  
pp. e10-e11 ◽  
Author(s):  
Chris Delcher ◽  
Yanning Wang ◽  
Alexander C. Wagenaar ◽  
Bruce A. Goldberger ◽  
Robert L. Cook ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Drug Monitoring ◽  
Monitoring Program ◽  
Prescription Drug Monitoring Program ◽  
Opioid Deaths

scholarly journals Phenobarbital Pharmacokinetics in Old Age: A Case-matched Evaluation Based on Therapeutic Drug Monitoring Data

Epilepsia ◽  
2005 ◽  
Vol 46 (3) ◽  
pp. 372-377 ◽  
Author(s):  
Sara Messina ◽  
Dina Battino ◽  
Danilo Croci ◽  
Daniela Mamoli ◽  
Sara Ratti ◽  
...  
Keyword(s):  
Therapeutic Drug Monitoring ◽  
Old Age ◽  
Drug Monitoring ◽  
Monitoring Data ◽  
Therapeutic Drug

scholarly journals Impact of prescription drug monitoring program mandate on postoperative opioid prescriptions in children

2021 ◽  
Author(s):  
Christina M. Theodorou ◽  
Jordan E. Jackson ◽  
Ganesh Rajasekar ◽  
Miriam Nuño ◽  
Kaeli J. Yamashiro ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Prescription Drug ◽  
Drug Monitoring ◽  
Monitoring Program ◽  
Interrupted Time Series ◽  
Surgical Patients ◽  
Interrupted Time Series Analysis ◽  
Opioid Prescription ◽  
Series Analysis

Abstract Purpose Prescription drug monitoring programs (PDMPs) have been established to combat the opioid epidemic, but there is no data on their efficacy in children. We hypothesized that a statewide PDMP mandate would be associated with fewer opioid prescriptions in pediatric surgical patients. Methods Patients < 18 undergoing inguinal hernia repair, orchiopexy, orchiectomy, appendectomy, or cholecystectomy at a tertiary children’s hospital were included. The primary outcome, discharge opioid prescription, was compared for 10 months pre-PDMP (n = 158) to 10 months post-PDMP (n = 228). Interrupted time series analysis was performed to determine the effect of the PDMP on opioid prescribing. Results Over the 20-month study period, there was an overall decrease in the rate of opioid prescriptions per month (− 3.6% change, p < 0.001). On interrupted time series analysis, PDMP implementation was not associated with a significant decrease in the monthly rate of opioid prescriptions (1.27% change post-PDMP, p = 0.4). However, PDMP implementation was associated with a reduction in opioid prescriptions of greater than 5 days’ supply (− 2.7% per month, p = 0.03). Conclusion Opioid prescriptions declined in pediatric surgical patients over the study time period. State-wide PDMP implementation was associated with a reduction in postoperative opioid prescriptions of more than 5 days’ duration.

Implementing real-time prescription drug monitoring: Are we ready?

2014 ◽  
Vol 33 (5) ◽  
pp. 463-465 ◽  
Author(s):  
Suzanne Nielsen ◽  
Raimondo Bruno
Keyword(s):  
Prescription Drug ◽  
Real Time ◽  
Drug Monitoring
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