Evidence map›Paper›PMID 40294632›Full record

ArticleApplied clinical informatics2025

Development and Evaluation of Clinical Decision Support for Immigrant Child Health Screening in Primary Care.

Jeremy J Michel, Dean Karavite, Daniel White, Nadège Mudenge, Elizabeth Dawson-Hahn, Katherine Yun

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jeremy J MichelDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Dean KaraviteDepartment of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Daniel WhiteDepartment of Family Medicine, University of Colorado School of Medicine, Denver, Colorado, United States.
Nadège MudengeThe Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Elizabeth Dawson-HahnDepartment of Pediatrics, University of Washington, Harborview Medical Center, Seattle, Washington, United States.
Katherine YunDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.

Funding

Clinical Decision Support to Promote Immigrant Child Health ScreeningR21AI169560 · NIAID · CHILDREN'S HOSP OF PHILADELPHIA · PI MICHEL, JEREMY, YUN, KATHERINE M · 2022 to 2023
$506k
National Institute of Allergy and Infectious Diseases R21AI169560NIAID NIH HHS R21 AI169560
6 · The paper itself

Abstract

While electronic health record (EHR)-based tools for refugee health screening exist, support for other immigrant children has lagged. Reasons include lack of time, difficulty determining screening eligibility, and lack of awareness of screening recommendations. EHR-based tools to promote immigrant child health screening (ICHS) can address these challenges, but guidance is needed for tools that are usable by clinicians and acceptable to immigrant families.Develop useful EHR-based tools to support ICHS while incorporating evaluation of acceptability, usability, and implementation effort.We followed a five-step human-centered design approach to develop EHR-based tools for ICHS. This included: (1) representative users completing semi-structured interviews. (2) Health professionals and community advisory groups providing ongoing guidance. (3) Developing a functional prototype. (4) Usability testing of the prototype. And (5) an assessment of the implementation effort involving a second site installation coupled with expert implementation time estimations.Sixteen interviewees discussed screening barriers and how EHR-based tools could support discussing nativity (country of birth). From the interview findings and in consultation with advisory group members, we developed an EHR-based toolkit including noninterruptive alerts, an order set, and a documentation prompt. Ten clinicians completed usability testing. All recognized the alert and asked country of birth. Most (9) were satisfied with the system. All felt it was easy to use, helpful, and would not hinder patient care. Content experts (

Indexed as

Child HealthDecision Support Systems, ClinicalEmigrants and ImmigrantsMass ScreeningPrimary Health CareChildElectronic Health RecordsHumans

Identifiers

PMID40294632
PMCPMC12396900

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.