Evidence map›Paper›PMID 32020508›Full record

ArticleJournal of community genetics2020

Primary care physician experiences utilizing a family health history tool with electronic health record-integrated clinical decision support: an implementation process assessment.

Amy A Lemke, Jennifer Thompson, Peter J Hulick, Annette W Sereika, Christian Johnson, Lauren Oshman, Henry M Dunnenberger

Open access · bronzeAbstract read
In one paragraph

Article in Journal of community genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Factors associated with late diagnosis of breast cancer among women in Botswana.African journal of primary health care & family medicine · 2025
    Article
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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 at 1 institution in 1 country.

Amy A LemkeMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, 1001 University Place, Suite 160, Evanston, IL, 60201, USA. alemke@northshore.org.
Jennifer ThompsonMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, 1001 University Place, Suite 160, Evanston, IL, 60201, USA.
Peter J HulickCenter for Medical Genetics, NorthShore University HealthSystem, 1000 Central Street, Suite 610, Evanston, IL, 60201, USA.
Annette W SereikaCenter for Medical Genetics, NorthShore University HealthSystem, 1000 Central Street, Suite 610, Evanston, IL, 60201, USA.
Christian JohnsonMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, 1001 University Place, Suite 160, Evanston, IL, 60201, USA.
Lauren OshmanDepartment of Family Medicine, NorthShore University HealthSystem, 1001 University Place, Suite 138, Evanston, IL, 60201, USA.
Henry M DunnenbergerCenter for Medical Genetics, NorthShore University HealthSystem, 1000 Central Street, Suite 610, Evanston, IL, 60201, USA.
NorthShore University HealthSystem · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family health history (FHH) screening plays a key role in disease risk identification and tailored disease prevention strategies. Primary care physicians (PCPs) are in a frontline position to provide personalized medicine recommendations identified through FHH screening; however, adoption of FHH screening tools has been slow and inconsistent in practice. Information is also lacking on PCP facilitators and barriers of utilizing family history tools with clinical decision support (CDS) embedded in the electronic health record (EHR). This study reports on PCPs' initial experiences with the Genetic and Wellness Assessment (GWA), a patient-administered FHH screening tool utilizing the EHR and CDS. Semi-structured interviews were conducted with 24 PCPs who use the GWA in a network of community-based practices. Four main themes regarding GWA implementation emerged: benefits to clinical care, challenges in practice, CDS-specific issues, and physician-recommended improvements. Sub-themes included value in improving patient access to genetic services, inadequate time to discuss GWA recommendations, lack of patient follow-through with recommendations, and alert fatigue. While PCPs valued the GWA's clinical utility, a number of challenges were identified in the administration and use of the GWA in practice. Based on participants' recommendations, iterative changes have been made to the GWA and workflow to increase efficiency, upgrade the CDS process, and provide additional education to PCPs and patients. Future studies are needed to assess a diverse sample of physicians' and patients' perspectives on the utility of FHH screening utilizing EHR-based genomics recommendations.

Indexed as

Clinical decision supportFamily health historyGenetic screening toolImplementationPrecision medicinePrimary care

Identifiers

PMID32020508
PMCPMC7295926
OpenAlexW3004666066

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.