Evidence map›Paper›PMID 37433582›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use.

Stuart Sommers, Heather Tolle, Cheryl Napier, Jason Hoppe

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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.

Stuart SommersDepartment of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
Heather TolleDepartment of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
Cheryl NapierDepartment of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
Jason HoppeDepartment of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
University of Colorado Denver · US

Funding

Bureau of Justice Assistance 2019-PM-BX-0008National CoordinatorOffice of the National Coordinator GS-35F-540GA
6 · The paper itself

Abstract

Clinical decision support (CDS) can prevent medical errors and improve patient outcomes. Electronic health record (EHR)-based CDS, designed to facilitate prescription drug monitoring program (PDMP) review, has reduced inappropriate opioid prescribing. However, the pooled effectiveness of CDS has exhibited substantial heterogeneity and current literature does not adequately detail why certain CDS are more successful than others. Clinicians regularly override CDS, limiting its impact. No studies recommend how to help nonadopters recognize and recover from CDS misuse. We hypothesized that a targeted educational intervention would improve CDS adoption and effectiveness for nonadopters. Over 10 months, we identified 478 providers consistently overriding CDS (nonadopters) and sent each up to 3 educational message(s) via email or EHR-based chat. One hundred sixty-one (34%) nonadopters stopped consistently overriding CDS and started reviewing the PDMP after contact. We concluded that targeted messaging is a low-resource way to disseminate CDS education and improve CDS adoption and best practice delivery.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsPrescription Drug Monitoring ProgramsAnalgesics, OpioidHumansPractice Patterns, Physicians'Analgesics, Opioidanalgesicsclinicaldecision support systemsdrug monitoringdrug overdose/prevention and controlhumansopioid/therapeutic use

Identifiers

PMID37433582
PMCPMC10531197
OpenAlexW4383873588

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.