Evidence map›Paper›PMID 40334698›Full record

ArticleApplied clinical informatics2025

Academic Detailing to Enhance Adoption of Clinical Decision Support for Patients at Risk of Opioid Overdose.

Sarah Hussain, Harold Lehmann, Megan E Buresh, Timothy M Niessen, Michael I Fingerhood, Nazeer Ahmed, Kelly Cavallio, Andrew Maslen, Amy M Knight

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Sarah HussainDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Harold LehmannDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Megan E BureshDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Timothy M NiessenDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Michael I FingerhoodDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Nazeer AhmedDepartment of Pharmacy, Johns Hopkins Bayview Medical Center, Baltimore, Maryland.
Kelly CavallioMaryland Primary Care Physicians, Baltimore, Maryland.
Andrew MaslenEpic Application Team, Johns Hopkins Health System, Baltimore, Maryland.
Amy M KnightDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNot all patients at risk for opioid overdose are prescribed naloxone when discharged from the emergency department or hospital. Clinical decision support (CDS) can be used to promote clinical best practices, such as naloxone prescribing; however, it may be ignored due to knowledge deficiencies or alert fatigue.

objectivesAssess the effect of academic detailing on responses to a CDS alert recommending a naloxone prescription for patients at risk of opioid overdose.

methodsA pre/postquality improvement study of 2,161 active providers at a 400-bed academic medical center. The first intervention was an educational email to all providers. The second intervention was individual emails to 150 providers who infrequently ordered naloxone in response to the alert. The main outcome measure was prescription-to-alert ratios, defined as the number of naloxone prescriptions signed in response to the alert divided by the number of times the alert fired.

resultsThe first academic detailing intervention resulted in a prescription-to-alert ratio increase from 32.6 to 51.7%, a 19.1% absolute increase when comparing the approximately 8 months before and after the email was sent (95% confidence interval [CI]: 16.3-21.9%,

conclusionAcademic detailing can be used to augment responses to CDS for patients with opioid dependence. Further study is needed to see if this effect can be replicated with CDS for other high priority conditions, and whether academic detailing with one alert might improve responses to other alerts as well, potentially decreasing alert fatigue.

Indexed as

Decision Support Systems, ClinicalOpiate OverdoseHumansNaloxoneNaloxone

Identifiers

PMID40334698
PMCPMC12058289

What Socratic holds

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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 Socratic graph.