Evidence map›Paper›PMID 33360791›Full record

ArticleInternational journal of medical informatics2021

Dissemination of child abuse clinical decision support: Moving beyond a single electronic health record.

Thomas McGinn, David A Feldstein, Isabel Barata, Emily Heineman, Joshua Ross, Dana Kaplan, Safiya Richardson, Barbara Knox, Amanda Palm, Francesca Bullaro and 5 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Observational
  2. Stressful life events in electronic health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  3. Article
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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

15 authors at 4 institutions in 1 country.

Thomas McGinnDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States; Baylor College of Medicine, Houston, Texas, United States.
David A FeldsteinUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Isabel BarataDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Emily HeinemanDepartment of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States.
Joshua RossUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Dana KaplanDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Safiya RichardsonDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Barbara KnoxChildren's Hospital at Providence/Alaska Child Abuse Response and Evaluation Services, United States; University of Washington, Seattle, Washington, United States.
Amanda PalmUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Francesca BullaroDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Nicholas KuehnelUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Linda ParkUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Sundas KhanDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Benjamin EithunUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Rachel P BergerDepartment of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States. Electronic address: rachel.berger@chp.edu.
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell · USUniversity of Wisconsin–Madison · USChildren's Hospital of Pittsburgh · USUniversity of Washington · US

Funding

Patient-Centered Outcomes Research Institute DI-2017C1-6215
6 · The paper itself

Abstract

backgroundChild maltreatment is a leading cause of pediatric morbidity and mortality. We previously reported on development and implementation of a child abuse clinical decision support system (CA-CDSS) in the Cerner electronic health record (EHR). Our objective was to develop a CA-CDSS in two different EHRs.

methodsUsing the CA-CDSS in Cerner as a template, CA-CDSSs were developed for use in four hospitals in the Northwell Health system who use Allscripts and two hospitals in the University of Wisconsin health system who use Epic. Each system had a combination of triggers, alerts and child abuse-specific order sets. Usability evaluation was done prior to launch of the CA-CDSS.

resultsOver an 18-month period, a CA-CDSS was embedded into Epic and Allscripts at two hospital systems. The CA-CDSSs vary significantly from each other in terms of the type of triggers which were able to be used, the type of alert, the ability of the alert to link directly to child abuse-specific order sets and the order sets themselves.

conclusionsDissemination of CA-CDSS from one EHR into the EHR in other health care systems is possible but time-consuming and needs to be adapted to the strengths and limitations of the specific EHR. Site-specific usability evaluation, buy-in of multiple stakeholder groups and significant information technology support are needed. These barriers limit scalability and widespread dissemination of CA-CDSS.

Indexed as

Child AbuseDecision Support Systems, ClinicalChildElectronic Health RecordsHospitalsHumansChild abuseChild maltreatmentClinical decision supportElectronic health recordPhysical abuse

Identifiers

PMID33360791
PMCPMC8351590
OpenAlexW3111913183

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.