Evidence map›Paper›PMID 26958169›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium

Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures.

Elizabeth W Carter, Indra Neil Sarkar, Genevieve B Melton, Elizabeth S Chen

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Analyzing Real-World Use of Research Common Data Elements.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  5. Article
  6. Article
  7. Content and Quality of Free-Text Occupation Documentation in the Electronic Health Record.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    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

4 authors.

Elizabeth W CarterCenter for Clinical & Translational Science, University of Vermont, Burlington, VT.
Indra Neil SarkarCenter for Clinical & Translational Science, University of Vermont, Burlington, VT; Department of Microbiology & Molecular Genetics, University of Vermont, Burlington, VT.
Genevieve B MeltonInstitute for Health Informatics, University of Minnesota, Minneapolis, MN; Department of Surgery, University of Minnesota, Minneapolis, MN.
Elizabeth S ChenCenter for Clinical & Translational Science, University of Vermont, Burlington, VT; Department of Medicine, University of Vermont, Burlington, VT.

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 LM011364
6 · The paper itself

Abstract

Drug misuse is a prominent cause of morbidity and mortality in the United States. Recent focus on behavioral and social domains in the electronic health record (EHR) has highlighted the need for comprehensive examination of social history information, such as drug use. In this study, representation of drug use was examined in three types of sources: (1) standards from HL7 and openEHR, (2) clinical text from publicly accessible clinical notes and a local EHR, and (3) research measures from the PhenX Toolkit and CDE Browser. In total, 27 elements were identified across the examined sources, revealing a diverse set of values that were found to be associated with drug use type, frequency, method, time frame, and amount. The findings of this study provide insight into the representation of drug use information that may contribute to efforts for standardizing collection and use of these data to support clinical care and research.

Indexed as

Medical History TakingCommon Data ElementsElectronic Health RecordsHumansPrescription Drug MisuseSubstance-Related DisordersUnited States

Identifiers

PMID26958169
PMCPMC4765691

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.