Evidence map›Paper›PMID 36177089›Full record

ArticleACI open2020

Adapting Clinical Systems to Enable Adolescents' Genomic Choices.

Cynthia A Prows, Keith Marsolo, Melanie F Myers, Jeremy Nix, Eric S Hall

Open access · diamondAbstract read
In one paragraph

Article in ACI open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. The reckoning: The return of genomic results to 1444 participants across the eMERGE3 Network.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
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

5 authors at 3 institutions in 1 country.

Cynthia A ProwsDivisions of Human Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Keith MarsoloDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, United States.
Melanie F MyersDivision of Human Genetics, Cincinnati Children's Hospital Medical Center; College of Medicine, University of Cincinnati, Cincinnati, Ohio, United States.
Jeremy NixDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Eric S HallDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States.
Cincinnati Children's Hospital Medical Center · USDuke University · USUniversity of Cincinnati Medical Center · US

Funding

Polygenic Risk Scores for Healthier African American FamiliesU01HG011172 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI Leah Claire Kottyan, LISA J MARTIN · 2020 to 2026
$7.2M
Better Outcomes for Children: Promoting Excellence in Healthcare Genomics to Inform PolicyU01HG008666 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI HARLEY, JOHN BARKER · 2015 to 2019
$4.2M
NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG011172
6 · The paper itself

Abstract

Background: We offered adolescents personalized choices about the type of genetic results they wanted to learn during a research study and created a workflow to filter and transfer the results to the electronic health record (EHR). Methods: We describe adaptations needed to ensure that adolescents' results documented in the EHR and returned to adolescent/parent dyads matched their choices. A web application enabled manual modification of the underlying laboratory report data based on adolescents' choices. The final PDF format of the laboratory reports was not viewable through the EHR patient portal, so an EHR form was created to support the manual entry of discrete results that could be viewed in the portal. Results: Enabling adolescents' choices about genetic results was a labor-intensive process. More than 350 hours was required for development of the application and EHR form, as well as over 50 hours of a study professional's time to enter choices into the application and EHR. Adolescents and their parents who learned genetic results through the patient portal indicated that they were satisfied with the method of return and would make their choices again if given the option. Conclusion: Although future EHR upgrades are expected to enable patient portal access to PDFs, additional improvements are needed to allow the results to be partitioned and filtered based on patient preferences. Furthermore, separating these results into more discrete components will allow them to be stored separately in the EHR, supporting the use of these data in clinical decision support or artificial intelligence applications.

Indexed as

clinical information systemselectronic health records and systemsfacilitators and barriersgeneral aspectsimplementation and deploymentpatient recordsspecific types

Identifiers

PMID36177089
PMCPMC9518747
OpenAlexW3101461014

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.