Evidence map›Paper›PMID 35297973›Full record

Trial reportJAMA network open2022

Effect of a Default Order vs an Alert in the Electronic Health Record on Hepatitis C Virus Screening Among Hospitalized Patients: A Stepped-Wedge Randomized Clinical Trial.

Shivan J Mehta, Jessie Torgersen, Dylan S Small, Colleen P Mallozzi, John D McGreevey, Charles A L Rareshide, Chalanda N Evans, Mika Epps, David Stabile, Christopher K Snider and 1 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04525690 (Improving Inpatient Screening for Hepatitis C), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 4% 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.

NCT04525690 nacompletednot on this map

Improving Inpatient Screening for Hepatitis C: A Stepped-Wedge Randomized Clinical Trial

TypeinterventionalSponsorUniversity of PennsylvaniaRan2020 to 2021Enrolled7,634ConditionsHepatitis CArmsNudge
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Shivan J MehtaDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Jessie TorgersenDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Dylan S SmallThe Wharton School, University of Pennsylvania, Philadelphia.
Colleen P MallozziUniversity of Pennsylvania Health System, University of Pennsylvania, Philadelphia.
John D McGreeveyDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Charles A L RareshideDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Chalanda N EvansDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Mika EppsUniversity of Pennsylvania Health System, University of Pennsylvania, Philadelphia.
David StabileUniversity of Pennsylvania Health System, University of Pennsylvania, Philadelphia.
Christopher K SniderCenter for Health Care Innovation, University of Pennsylvania, Philadelphia.
Mitesh S PatelDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USUniversity of Pennsylvania Health System · USAscension · US

Funding

Behavioral Economics and Population-based Colorectal Cancer ScreeningK08CA234326 · NCI · UNIVERSITY OF PENNSYLVANIA · PI MEHTA, SHIVAN JATIN · 2018 to 2022
$1.3M
NCI NIH HHS K08 CA234326
6 · The paper itself

Abstract

Importance: Hepatitis C virus (HCV) screening has been recommended for patients born between 1945 and 1965, but rates remain low. Objective: To evaluate whether a default order within the admission order set increases HCV screening compared with a preexisting alert within the electronic health record. Design, Setting, and Participants: This stepped-wedge randomized clinical trial was conducted from June 23, 2020, to April 10, 2021, at 2 hospitals within an academic medical center. Hospitalized patients born between 1945 and 1965 with no history of screening were included in the analysis. Interventions: During wedge 1 (a preintervention period), both hospital sites had an electronic alert prompting clinicians to consider HCV screening. During wedge 2, the first intervention wedge, the hospital site randomized to intervention (hospital B) had a default order for HCV screening implemented within the admission order set. During wedge 3, the second intervention wedge, the hospital site randomized to control (hospital A) had the default order set implemented. Main Outcomes and Measures: Percentage of eligible patients who received HCV screening during the hospital stay. Results: The study included 7634 patients (4405 in the control group and 3229 in the intervention group). The mean (SD) age was 65.4 (5.8) years; 4246 patients (55.6%) were men; 2142 (28.1%) were Black and 4625 (60.6%) were White; and 2885 (37.8%) had commercial insurance and 3950 (51.7%) had Medicare. The baseline rate of HCV screening in wedge 1 was 585 of 1560 patients (37.5% [95% CI, 35.1%-40.0%]) in hospital A and 309 of 1003 patients (30.8% [95% CI, 27.9%-33.7%]) in hospital B. The main adjusted model showed an increase of 31.8 (95% CI, 29.7-33.8) percentage points in test completion in the intervention group compared with the control group (P <. 001). Conclusions and Relevance: This stepped-wedge randomized clinical trial found that embedding HCV screening as a default order in the electronic health record substantially increased ordering and completion of testing in the hospital compared with a conventional interruptive alert. Trial Registration: Clinicaltrials.gov: NCT04525690.

Indexed as

Electronic Health RecordsHepacivirusAgedHumansMaleMass ScreeningMedicarePatientsUnited States

Identifiers

PMID35297973
PMCPMC8931559
OpenAlexW4220796018

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.