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Observational Study
. 2022 Nov-Dec;18(6):547-556.
doi: 10.5055/jom.2022.0750.

The impact of automatic physician review of prescription drug monitoring program data on opioid prescribing in a Maryland statewide hospital system

Benoit Stryckman  1 , Anna Schoenbaum  2 , Joel Klein  3 , Rose Chasm  4 , Eberechukwu Onukwugha  5 , Zachary Dw Dezman  6
Affiliations
Observational Study

The impact of automatic physician review of prescription drug monitoring program data on opioid prescribing in a Maryland statewide hospital system

Benoit Stryckman et al. J Opioid Manag. 2022 Nov-Dec.

Abstract

Background and aims: Prescription drug monitoring programs (PDMPs) were implemented to decrease dangerous opioid prescribing but have had variable results. This report details how automatic PDMP review changed opioid prescribing across a statewide medical system.

Design: An observational study.

Setting: Fourteen hospital networks in the United States.

Cases: Healthcare encountered from July 1, 2016 to June 30, 2019.

Intervention: Starting from July 1, 2018, the patient's PDMP data would be displayed automatically to providers in the unified electronic medical record (EMR) whenever the provider began to write for an opioid prescription.

Measurements: Outcomes were prescriptions per encounter (PPE) and the morphine milligram equivalents (MME) per prescription. Outcomes were stratified by practice location, medication prescribed, and diagnosis. All data, including whether the prompt was triggered for a given encounter and whether a prescription was given, were extracted from the EMR. An interrupted timeseries analysis was used to determine how PPE and MME changed in response to the implementation of automatic PDMP review.

Findings: Of the 624,488 encounters examined, 18.37 percent (n = 114,710) were in emergency departments, 56.79 percent were admissions (n = 354,634), and 24.84 percent (n = 155,144) were outpatient visits. Opioid prescriptions were started and then canceled 24 percent of the time after the PDMP was shown. There was a decline in MME (βOverall + Policy Trends = -3.17, p = <0.0001), which was driven by inpatient (βOverall + Policy Trends = -2.10, p < 0.0001) and outpatient providers (βOverall + Policy Trends = -3.24, p < 0.01). A decline in MME was seen in all medication categories (-1.72 < βOverall + Policy Trends < -5.87, p < 0.01). There were no changes in these trends after excluding encounters for severe and acute pain.

Conclusions: Automated PDMP review is associated with fewer prescriptions and smaller doses without decreasing appropriate use.

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