Evidence map›Paper›PMID 33105005›Full record

Trial reportJournal of general internal medicine2021

Effect of an Electronic Health Record "Nudge" on Opioid Prescribing and Electronic Health Record Keystrokes in Ambulatory Care.

Jessica S Ancker, J Travis Gossey, Sarah Nosal, Chenghuiyun Xu, Samprit Banerjee, Yuming Wang, Yulia Veras, Hannah Mitchell, Yuhua Bao

Abstract readClinical Trial
In one paragraph

Trial report in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. CDC Clinical Practice Guideline for Prescribing Opioids for Pain - United States, 2022.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2022
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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

9 authors.

Jessica S AnckerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. jsa7002@med.cornell.edu.ORCID 0000-0002-3859-9130
J Travis GosseyPhysician Organization Information Services, Weill Cornell Medicine, New York, NY, USA.
Sarah NosalInstitute for Family Health, New York, NY, USA.
Chenghuiyun XuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Samprit BanerjeeDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Yuming WangPhysician Organization Information Services, Weill Cornell Medicine, New York, NY, USA.
Yulia VerasInstitute for Family Health, New York, NY, USA.
Hannah MitchellDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Yuhua BaoDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Funding

Pilot CoreP30AG022845 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Manney Carrington Reid · 2003 to 2026
$15.2M
NIA NIH HHS P30 AG022845
6 · The paper itself

Abstract

backgroundMultiple policy initiatives encourage more cautious prescribing of opioids in light of their risks. Electronic health record (EHR) redesign can influence prescriber choices, but some redesigns add to workload.

objectiveTo estimate the effect of an EHR prescribing redesign on both opioid prescribing choices and keystrokes.

designQuality improvement quasi-experiment, analyzed as interrupted time series.

participantsAdult patients of an academic multispecialty practice and a federally qualified health center (FQHC) who received new prescriptions for short-acting opioids, and their providers.

interventionIn the redesign, new prescriptions of short-acting opioids defaulted to the CDC-recommended minimum for opioid-naïve patients, with no alerts or hard stops, such that 9 keystrokes were required for a guideline-concordant prescription and 24 for a non-concordant prescription. MAIN MEASURES: Proportion of guideline-concordant prescriptions, defined as new prescriptions with a 3-day supply or less, calculated per 2-week period. Number of mouse clicks and keystrokes needed to place prescriptions. KEY

resultsAcross the 2 sites, 22,113 patients received a new short-acting opioid prescription from 821 providers. Before the intervention, both settings showed secular trends toward smaller-quantity prescriptions. At the academic practice, the intervention was associated with an immediate increase in guideline-concordant prescriptions from an average of 12% to 31% of all prescriptions. At the FQHC, about 44% of prescriptions were concordant at the time of the intervention, which was not associated with an additional significant increase. However, total keystrokes needed to place the concordant prescriptions decreased 62.7% from 3552 in the 6 months before the intervention to 1323 in the 6 months afterwards.

conclusionsAutocompleting prescription forms with guideline-recommended values was associated with a large increase in guideline concordance in an organization where baseline concordance was low, but not in an organization where it was already high. The redesign markedly reduced the number of keystrokes needed to place orders, with important implications for EHR-related stress.

trial registrationwww.ClinicalTrials.gov protocol 1710018646.

Indexed as

Analgesics, OpioidElectronic Health RecordsAdultAmbulatory CareHumansInterrupted Time Series AnalysisPractice Patterns, Physicians'PrescriptionsAnalgesics, Opioidbehavioral nudgeclinical decision supportEHR workloadelectronic health recordselectronic prescribingopioid prescribing

Identifiers

PMID33105005
PMCPMC7878599

What OpenQuestion 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 OpenQuestion graph.