Evidence map›Paper›PMID 40010403›Full record

ArticleApplied clinical informatics2025

A Comprehensive Approach to Clinical Decision Support in the Return of Genome Informed Risk Assessments to Primary Care Pediatricians.

Dean Karavite, Shannon Terek, John J Connolly, Margaret Harr, Naveen Muthu, Hakon Hakonarson, Robert W Grundmeier

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.

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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

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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

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5 · Who and what money

Authors and funding

7 authors.

Dean KaraviteDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Shannon TerekCenter for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
John J ConnollyCenter for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Margaret HarrCenter for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Naveen MuthuDivision of Hospital Medicine, Department of Pediatrics, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Hakon HakonarsonCenter for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
Robert W GrundmeierDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.

Funding

OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
National Human Genome Research Institute (NHGRI) U01HG008680NHGRI NIH HHS U01 HG008680
6 · The paper itself

Abstract

backgroundPrimary care pediatricians play an important role in genetic testing, including referrals, test ordering, responding to results, assessing risk, treatment, and managing care. As genetic testing rapidly evolves to include new tests identifying patients at risk for certain conditions, alert-based clinical decision support is insufficient in assisting pediatric primary care providers in working with patients, parents, genetics, and other specialties. Supporting pediatricians in the return of these results requires addressing gaps in genetics training and integrating genetics into practice with education, information resources, and specialized tools.

objectivesThis study aimed to capture requirements for developing systems and processes to support primary care pediatricians in the return of genome-informed risk assessments.

methodsWe performed a requirements analysis to inform the design of clinical decision support tools and processes for pediatric providers of patients who received a genome informed risk assessment, a novel test that combines polygenic risk scores with patient and family histories to deliver a risk assessment for common medical conditions. We developed an interview guide consisting of scenario presentations, questionnaires, and semi-structured questions to elicit provider responses on a broad set of requirements to manage results with patients and caregivers.

resultsTwenty providers from 10 primary care pediatric practices within a single health system participated in the study. The findings demonstrated that providers feel responsible to be involved in the process of returning results but require a support system that integrates education, provider and patient information resources, effective communication with genetics, and electronic health record decision support tools that can accommodate a range of clinical scenarios and provider workflow preferences.

conclusionSupporting providers with the return of genetic testing results such as the genome informed risk assessment requires a comprehensive approach to decision support consisting of education, communication, and a comprehensive and integrated set of electronic health record tools.

Indexed as

Decision Support Systems, ClinicalGenome, HumanPediatriciansPrimary Health CareGenetic TestingHumansRisk Assessment

Identifiers

PMID40010403
PMCPMC11864847

What Socratic holds

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Registered trials

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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 Socratic graph.