Evidence map›Paper›PMID 34392255›Full record

ArticleJournal of addiction medicine

The Impact of a PDMP-EHR Data Integration Combined With Clinical Decision Support on Opioid and Benzodiazepine Prescribing Across Clinicians in a Metropolitan Area.

Susan L Calcaterra, Maria Butler, Katie Olson, Joshua Blum

Open access · greenAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 12 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

4 authors at 1 institution in 1 country.

Susan L CalcaterraFrom the Division of General Internal Medicine, University of Colorado, Aurora, CO (SLC); Colorado Department of Public Health and Environment, Prevention Services Division, Denver, CO (MB, KO); and Ambulatory Care Services, Denver Health and Hospital Authority, Denver, CO (JB).
Maria Butler
Katie Olson
Joshua Blum
Smithsonian Latino Center · US

Funding

COLORADO PRESCRIPTION DRUG OVERDOSE PREVENTION PROJECTU17CE002719 · CE · COLORADO STATE DEPT/PUB HLTH & ENVIRONMT · PI MYERS, LINDSEY · 2016 to 2016
$1.4M
Understanding Factors that Limit Access to Opioid Use Disorder Treatment in the Hospital to Inform Innovative Approaches to Expand Hospital-Based TreatmentK08DA049905 · NIDA · UNIVERSITY OF COLORADO DENVER · PI CALCATERRA, SUSAN L · 2020 to 2024
$945k
NCIPC CDC HHS U17 CE002719NIDA NIH HHS K08 DA049905
6 · The paper itself

Abstract

introductionDespite inconclusive evidence that prescription drug monitoring programs (PDMP) reduce opioid-related mortality, guidelines recommend PDMP review with opioid prescribing. Some reported barriers to use include time-consuming processes to obtain data and workflow disruptions.

methodsWe provided access to a PMDP-electronic health record (EHR) integrated program to 123 clinicians in one healthcare system. Remaining clinicians within the healthcare system and metropolitan area did not receive PDMP-EHR integration program access. We identified changes in opioid prescribing by linking prescription data available in the state PMDP database to individual clinicians. The primary outcome was change in receipt of high dose opioid prescriptions (>90 mg morphine equivalents) by Colorado residents before and after program integration. Secondary outcomes included changes in long-acting opioid receipt and overlapping opioid and benzodiazepine prescription days. Next, we surveyed clinicians to assess their perspectives on PDMP data acquisition before and after PDMP-EHR integration program access.

resultsHigh-dose opioid receipt decreased significantly across all 3 clinician groups [PDMP-EHR integration program access (27.6%, to 6.9%, P < 0.001); no program access in the same healthcare system (4.8% to 2.9%, P < 0.001), and no program access across the metropolitan area (13.5% to 6.1%, P < 0.001)]. Clinicians reported improved access to PDMP data using the PDMP-EHR integrated program compared to the state PDMP website (98.6%).

conclusionsFurther study of PDMP-EHR integration programs on patient and clinician outcomes may illuminate the role of this technology in public health and in clinical practice.

Indexed as

Analgesics, OpioidDecision Support Systems, ClinicalBenzodiazepinesElectronic Health RecordsHumansMorpholinesPractice Patterns, Physicians'Analgesics, OpioidBenzodiazepinesMorpholinesRV 538

Identifiers

PMID34392255
PMCPMC8831644
OpenAlexW3195862174

What OpenQuestion holds

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Registered trials

None linked

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.