Evidence map›Paper›PMID 27362912›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Electronic health record interventions at the point of care improve documentation of care processes and decrease orders for genetic tests commonly ordered by nongeneticists.

Maren T Scheuner, Jane Peredo, Kelly Tangney, Diane Schoeff, Taylor Sale, Caroline Lubick-Goldzweig, Alison Hamilton, Lee Hilborne, Martin Lee, Brian Mittman and 2 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Integrating Germline Genetics Into Precision Oncology Practice in the Veterans Health Administration: Challenges and Opportunities.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020
    Article
  4. From public health genomics to precision public health: a 20-year journey.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Review
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

12 authors.

Maren T ScheunerVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0002-9105-1369
Jane PeredoVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Kelly TangneyVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0002-2612-6213
Diane SchoeffVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Taylor SaleVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Caroline Lubick-GoldzweigVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0001-7768-0188
Alison HamiltonVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Lee HilborneDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
Martin LeeVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Brian MittmanVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Elizabeth M YanoVA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Ira M LubinCenters for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

EVALUATION OF AN EDUCATIONAL PROGRAM FOR CLINICAL DECISION MAKING THAT FEATURES MU47CI000823 · CI · SEPULVEDA RESEARCH CORPORATION · PI SCHEUNER, MAREN THERESA · 2010 to 2012
$1.5M
Intramural CDC HHS CC999999NCPDCID CDC HHS U47 CI000823
6 · The paper itself

Abstract

objectiveTo determine whether electronic health record (EHR) tools improve documentation of pre- and postanalytic care processes for genetic tests ordered by nongeneticists.

methodsWe conducted a nonrandomized, controlled, pre-/postintervention study of EHR point-of-care tools (informational messages and template report) for three genetic tests. Chart review assessed documentation of genetic testing processes of care, with points assigned for each documented item. Multiple linear and logistic regressions assessed factors associated with documentation.

resultsPreimplementation, there were no significant site differences (P > 0.05). Postimplementation, mean documentation scores increased (5.9 (2.1) vs. 5.0 (2.2); P = 0.0001) and records with clinically meaningful documentation increased (score >5: 59 vs. 47%; P = 0.02) at the intervention versus the control site. Pre- and postimplementation, a score >5 was positively associated with abnormal test results (OR = 4.0; 95% CI: 1.8-9.2) and trainee provider (OR = 2.3; 95% CI: 1.2-4.6). Postimplementation, a score >5 was also positively associated with intervention site (OR = 2.3; 95% CI: 1.1-5.1) and specialty clinic (OR = 2.0; 95% CI: 1.1-3.6). There were also significantly fewer tests ordered after implementation (264/100,000 vs. 204/100,000; P = 0.03), with no significant change at the control site (280/100,000 vs. 257/100,000; P = 0.50).

conclusionsEHR point-of-care tools improved documentation of genetic testing processes and decreased utilization of genetic tests commonly ordered by nongeneticists.Genet Med 19 1, 112-120.

Indexed as

Electronic Health RecordsDocumentationFactor VFemaleGenetic TestingHemochromatosis ProteinHLA-B27 AntigenHumansMalePoint-of-Care SystemsFactor Vfactor V LeidenHemochromatosis ProteinHFE protein, humanHLA-B27 Antigen

Identifiers

PMID27362912
PMCPMC6504173

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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 OpenQuestion graph.