Evidence map›Paper›PMID 28641385›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Development of an electronic medical record-based child physical abuse alert system.

Rachel P Berger, Richard A Saladino, Janet Fromkin, Emily Heineman, Srinivasan Suresh, Tom McGinn

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
4.5field-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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  14. Safeguarding alerts on electronic medical records.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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  19. Integration of physical abuse clinical decision support at 2 general emergency departments.Journal of the American Medical Informatics Association : JAMIA · 2019
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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

6 authors at 2 institutions in 1 country.

Rachel P BergerDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Richard A SaladinoDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Janet FromkinDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Emily HeinemanDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Srinivasan SureshDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Tom McGinnDepartment of Medicine, Hofstra Northwell School of Medicine, Manhasset, NY, USA.
Children's Hospital of Pittsburgh · USHofstra University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Physical abuse is a leading cause of pediatric morbidity and mortality. Physicians do not consistently screen for abuse, even in high-risk situations. Alerts in the electronic medical record may help improve screening rates, resulting in early identification and improved outcomes. Methods: Triggers to identify children < 2 years old at risk for physical abuse were coded into the electronic medical record at a freestanding pediatric hospital with a level 1 trauma center. The system was run in "silent mode"; physicians were unaware of the system, but study personnel received data on children who triggered the alert system. Sensitivity, specificity, and negative and positive predictive values of the child abuse alert system for identifying physical abuse were calculated. Results: Thirty age-specific triggers were embedded into the electronic medical record. From October 21, 2014, through April 6, 2015, the system was in silent mode. All 226 children who triggered the alert system were considered subjects. Mean (SD) age was 9.1 (6.5) months. All triggers were activated at least once. Sensitivity was 96.8% (95% CI, 92.4-100.0%), specificity was 98.5% (95% CI, 98.3.5-98.7), and positive and negative predictive values were 26.5% (95% CI, 21.2-32.8%) and 99.9% (95% CI, 99.9-100.0%), respectively, for identifying children < 2 years old with possible, probable, or definite physical abuse. Discussion/Conclusion: Triggers embedded into the electronic medical record can identify young children with who need to be evaluated for physical abuse with high sensitivity and specificity.

Indexed as

Electronic Health RecordsChild AbuseDiagnostic ErrorsFalse Positive ReactionsHumansInfantPhysical AbusePredictive Value of TestsSensitivity and SpecificityTrauma Centerschild abuseelectronic medical recordphysical abuse

Identifiers

PMID28641385
PMCPMC7647132
OpenAlexW2668714558

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.