Evidence map›Paper›PMID 29457138›Full record

ArticleLearning health systems2018

Leveraging the Learning Health Care Model to Improve Equity in the Age of Genomic Medicine.

Katherine D Blizinsky, Vence L Bonham

Abstract read
In one paragraph

Article in Learning health systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Advancements in extracting social determinants of health information from narrative text.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  7. The 2022 n2c2/UW shared task on extracting social determinants of health.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

2 authors.

Katherine D BlizinskyResearch Fellow, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive Building 31 Room B1B37-G, Bethesda, Maryland 20892-2070.
Vence L BonhamAssociate Investigator, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive Building 31 Room B1B37-G, Bethesda, Maryland 20892-2070.

Funding

Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZIAHG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2009 to 2025
$3.5M
Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZ01HG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2005 to 2008
$827k
Intramural NIH HHS Z01 HG200324Intramural NIH HHS Z99 HG999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 MH999999Intramural NIH HHS Z99 OD999999Intramural NIH HHS ZIA HG200324
6 · The paper itself

Abstract

To fully achieve the goals of a genomics-enabled learning health care system, purposeful efforts to understand and reduce health disparities and improve equity of care are essential. This paper highlights three major challenges facing genomics-enabled learning health care systems, as they pertain to ancestrally diverse populations: inequality in the utility of genomic medicine; lack of access to pharmacogenomics in clinical care; and inadequate incorporation of social and environmental data into the electronic health care record (EHR). We advance a framework that can not only be used to directly improve care for all within the learning health system, but can also be used to focus on the needs to address racial and ethnic health disparities and improve health equity.

Indexed as

genomic medicinehealth disparitieshealth equitylearning health care systemprecision medicine

Identifiers

PMID29457138
PMCPMC5813818

What OpenQuestion holds

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LicenceCC BY-NC
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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.