Evidence map›Paper›PMID 33561288›Full record

ArticlePain medicine (Malden, Mass.)2021

Opioid Prescribing After Implementation of Single Click Access to a State Prescription Drug Monitoring Program Database in a Health System's Electronic Health Record.

Scott G Weiner, Kimiyoshi Kobayashi, Joshua Reynolds, Kit Chan, Rodd Kelly, Sarah Wakeman, Prabashni Reddy, Leonard D Young

Open access · greenAbstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Scott G WeinerBrigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-4672-5184
Kimiyoshi KobayashiUMass Memorial Medical Center, Worcester, Massaschusetts.
Joshua ReynoldsMassachusetts Department of Public Health, Boston, Massachusetts.
Kit ChanBrigham and Women's Hospital, Boston, Massachusetts.
Rodd KellyMassachusetts Department of Public Health, Boston, Massachusetts.
Sarah WakemanMassachusetts General Hospital Boston, Massachusetts.
Prabashni ReddyMass General Brigham, Somerville, Massachusetts, USA.
Leonard D YoungMassachusetts Department of Public Health, Boston, Massachusetts.
Massachusetts Department of Public Health · USBrigham and Women's Hospital · USMassachusetts General Hospital · USPolitical Research Associates · USUMass Memorial Medical Center · US

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
Prescribing of opioids at hospital discharge and associated adverse patient outcomesR01HS026753 · AHRQ · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2019 to 2023
$1.9M
Use of Prescription Opioids Following Surgery and Associated Adverse Patient Outcomes in Older AdultsR56AG059620 · NIA · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2019 to 2020
$1.4M
AHRQ HHS R01 HS026753NIA NIH HHS R56 AG059620NIDA NIH HHS R01 DA044167
6 · The paper itself

Abstract

objectivesTo determine the effect of one-click integration of a state's prescription drug monitoring program (PDMP) on the number of PDMP searches and opioid prescriptions, stratified by specialty.

methodsOur large health system worked with the state department of public health to integrate the PDMP with the electronic health record (EHR), which enabled providers to query the data with a single click inside the EHR environment. We evaluated Schedule II or III opioid prescriptions reported to the Massachusetts PDMP 6 months before (November 15, 2017-May 15, 2018) and 6 months after (May 16, 2018, to November 16, 2018) integration. Search counts, prescriptions, patients, morphine milligram equivalents, as well as prescriber specialty were compared.

resultsThere were 3,185 unique prescribers with a record of a Schedule II and/or III opioid prescription in both study periods that met inclusion criteria. After integration, the number of PDMP searches increased from 208,684 in the pre-integration phase to 298,478 searches in the post-integration phase (+43.0%). The number of opioid prescriptions dispensed decreased by 4.8%, the number of patients receiving a prescription decreased by 5.1%, and the mean morphine milligram equivalents (MMEs) per prescriber decreased by 5.4%. There were some notable specialty-specific differences in these measures.

conclusionsIntegration of the PDMP into the EHR markedly increased the number of searches but was associated with modest decreases in opioids prescribed and patients receiving a prescription. Single click EHR integration of the PDMP, if implemented broadly, may be a way for states to significantly increase PDMP utilization.

Indexed as

Prescription Drug MisusePrescription Drug Monitoring ProgramsAnalgesics, OpioidElectronic Health RecordsHumansPractice Patterns, Physicians'Analgesics, OpioidOpioidsPrescription drug monitoring programsPrescriptions

Identifiers

PMID33561288
PMCPMC8500719
OpenAlexW3129109256

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.