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

Journal Article (Review;Journal Article)

Objective

To 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.

Methods

We 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.

Results

Our 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.

Conclusions

Interviewees 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.

Full Text

Duke Authors

Cited Authors

  • Stilwell, L; Golonka, M; Ankoma-Sey, K; Yancy, M; Kaplan, S; Terrell, L; Gifford, EJ

Published Date

  • July 2022

Published In

Volume / Issue

  • 22 / 5

Start / End Page

  • 718 - 728

PubMed ID

  • 35131505

Pubmed Central ID

  • PMC9262814

Electronic International Standard Serial Number (EISSN)

  • 1876-2867

International Standard Serial Number (ISSN)

  • 1876-2859

Digital Object Identifier (DOI)

  • 10.1016/j.acap.2022.01.017

Language

  • eng