Evidence map›Paper›PMID 35131505›Full record

ArticleAcademic pediatrics2022

Electronic Health Record Tools to Identify Child Maltreatment: Scoping Literature Review and Key Informant Interviews.

Laura Stilwell, Megan Golonka, Kristin Ankoma-Sey, Madeleine Yancy, Samantha Kaplan, Lindsay Terrell, Elizabeth J Gifford

Abstract readScoping Review
In one paragraph

Article in Academic pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Observational
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

7 authors.

Laura StilwellDuke University School of Medicine (L Stilwell, S Kaplan), Durham, NC; Sanford School of Public Policy (L Stilwell, E Gifford), Durham, NC.
Megan GolonkaCenter for Child and Family Policy (M Golonka, E Gifford), Durham, NC; Department of Psychology and Neuroscience (M Golonka), Center for the Study of Adolescent Risk and Resilience, Duke University, Durham, NC. Electronic address: megan.golonka@duke.edu.
Kristin Ankoma-SeyDuke University (K Ankoma-Sey, M Yancy), Durham, NC.
Madeleine YancyDuke University (K Ankoma-Sey, M Yancy), Durham, NC.
Samantha KaplanDuke University School of Medicine (L Stilwell, S Kaplan), Durham, NC.
Lindsay TerrellDuke Department of Pediatrics (L Terrell), Durham, NC.
Elizabeth J GiffordSanford School of Public Policy (L Stilwell, E Gifford), Durham, NC; Center for Child and Family Policy (M Golonka, E Gifford), Durham, NC; Duke Department of Pediatrics (L Terrell), Durham, NC.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

objectiveTo prevent missed cases and standardize care, health systems are beginning to implement EHR-based screens (EHR-CA-S) and clinical decision supports systems (EHR-CA-CDSS) for the identification and management of child maltreatment. This study aimed to 1) document the existing research evidence on the performance of EHR-CA-S and EHR-CA-CDSS and 2) examine clinical perspectives regarding the use of such tools and factors that affect uptake.

methodsWe searched MEDLINE, Embase, EBSCO, Scopus, and CINAHL databases for English language articles published prior to November 2021 that describe and/or evaluated an EHR-CA-S and/or EHR-CA-CDSS involving 0 to 18-year olds. We performed semistructured interviews with 20 individuals who have experience in identifying, evaluating, and/or treating child maltreatment and/or conducting research on these topics.

resultsOur search identified 574 articles; 16 met inclusion criteria. Studies examined screening, alerts and triggers, and quality improvement. None evaluated long-term clinical outcomes. Sensitivity ranged from 0.14 to 1.00, specificity from 0.865 to 1.00, positive predictive value from 0.03 to 1.00 and negative predictive value from 0.55 to 1.00. A variety of EHR-CA-S and/or EHR-CA-CDSS have been implemented at institutions in our sample. Interviewees cited missed cases, policy requirements, and the lack of standardization of care as impetuses for adopting these tools, yet expressed concerns regarding insufficient evidence, bias, and time-intensiveness of implementation.

conclusionsInterviewees and the literature agree that current evidence does not support adoption of a particular CA-S or CA-CDSS. Further refinement and research on EHR-CA-S and EHR-CA-CDSS is necessary for these tools to be feasibly implemented and sustained, reliable for clinical practice, and not cause any unintentional harms.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsChildHumansMass ScreeningQuality Improvementchild abusechild maltreatmentclinical decision support systemselectronic health records

Identifiers

PMID35131505
PMCPMC9262814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.