Evidence map›Paper›PMID 25336591›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Multi-source development of an integrated model for family health history.

Elizabeth S Chen, Elizabeth W Carter, Tamara J Winden, Indra Neil Sarkar, Yan Wang, Genevieve B Melton

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  3. Article
  4. Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  5. Article
  6. Systematic Analysis of Free-Text Family History in Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  7. Article
  8. An Assessment of Family History Information Captured in an Electronic Health Record.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    Article
  9. Article
  10. 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

6 authors.

Elizabeth S ChenCenter for Clinical and Translational Science-Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA Department of Medicine-Division of General Internal Medicine, University of Vermont, Burlington, Vermont, USA Department of Computer Science, University of Vermont, Burlington, Vermont, USA.
Elizabeth W CarterCenter for Clinical and Translational Science-Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA.
Tamara J WindenInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA Division of Applied Research, Allina Health, Minneapolis, Minnesota, USA.
Indra Neil SarkarCenter for Clinical and Translational Science-Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA Department of Computer Science, University of Vermont, Burlington, Vermont, USA Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont, USA.
Yan WangInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
Genevieve B MeltonInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial FactorsR01LM011364 · NLM · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CHEN, ELIZABETH S., MELTON-MEAUX, GENEVIEVE B · 2012 to 2015
$1.4M
NCATS NIH HHS UL1 TR000114NLM NIH HHS R01 LM011364NLM NIH HHS R01LM011364
6 · The paper itself

Abstract

objectiveTo integrate data elements from multiple sources for informing comprehensive and standardized collection of family health history (FHH). MATERIALS AND

methodsThree types of sources were analyzed to identify data elements associated with the collection of FHH. First, clinical notes from multiple resources were annotated for FHH information. Second, questions and responses for family members in patient-facing FHH tools were examined. Lastly, elements defined in FHH-related specifications were extracted for several standards development and related organizations. Data elements identified from the notes, tools, and specifications were subsequently combined and compared.

resultsIn total, 891 notes from three resources, eight tools, and seven specifications associated with four organizations were analyzed. The resulting Integrated FHH Model consisted of 44 data elements for describing source of information, family members, observations, and general statements about family history. Of these elements, 16 were common to all three source types, 17 were common to two, and 11 were unique. Intra-source comparisons also revealed common and unique elements across the different notes, tools, and specifications. DISCUSSION: Through examination of multiple sources, a representative and complementary set of FHH data elements was identified. Further work is needed to create formal representations of the Integrated FHH Model, standardize values associated with each element, and inform context-specific implementations.

conclusionsThere has been increased emphasis on the importance of FHH for supporting personalized medicine, biomedical research, and population health. Multi-source development of an integrated model could contribute to improving the standardized collection and use of FHH information in disparate systems.

Indexed as

Electronic Health RecordsFamily HealthHumansMedical History TakingModels, TheoreticalNarrationelectronic health recordsfamily healthgenomicsmedical history takingmodels, theoreticalnarration

Identifiers

PMID25336591
PMCPMC5901119

What OpenQuestion 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 OpenQuestion graph.