Evidence map›Paper›PMID 30526246›Full record

ArticleHealth informatics journal2020

Use of electronic health record data from diverse primary care practices to identify and characterize patients' prescribed common medications.

Allison M Cole, Kari A Stephens, Imara West, Gina A Keppel, Ken Thummel, Laura-Mae Baldwin

Abstract read
In one paragraph

Article in Health informatics journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Allison M Cole
Kari A Stephens
Imara West
Gina A KeppelUniversity of Washington, USA; Institute of Translational Health Sciences, USA.
Ken ThummelUniversity of Washington, USA.
Laura-Mae BaldwinUniversity of Washington, USA; Institute of Translational Health Sciences, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Pharmacogenetics in Rural and Underserved PopulationsU01GM092676 · NIGMS · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G., THUMMEL, KENNETH E. · 2010 to 2014
$9.9M
Vitamin K gene network: Variant discovery and characterizationP01GM116691 · NIGMS · UNIVERSITY OF WASHINGTON · PI RETTIE, ALLAN EDWARD · 2016 to 2020
$7.6M
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR002319NIGMS NIH HHS P01 GM116691NIGMS NIH HHS U01 GM092676
6 · The paper itself

Abstract

We use prescription of statin medications and prescription of warfarin to explore the capacity of electronic health record data to (1) describe cohorts of patients prescribed these medications and (2) identify cohorts of patients with evidence of adverse events related to prescription of these medications. This study was conducted in the WWAMI region Practice and Research Network (WPRN)., a network of primary care practices across Washington, Wyoming, Alaska, Montana and Idaho DataQUEST, an electronic data-sharing infrastructure. We used electronic health record data to describe cohorts of patients prescribed statin or warfarin medications and reported the proportions of patients with adverse events. Among the 35,445 active patients, 1745 received at least one statin prescription and 301 received at least one warfarin prescription. Only 3 percent of statin patients had evidence of myopathy; 51 patients (17% of those prescribed warfarin) had a bleeding complication. Primary-care electronic health record data can effectively be used to identify patients prescribed specific medications and patients potentially experiencing medication adverse events.

Indexed as

Electronic Health RecordsPrimary Health CareAdolescentAdultAgedAlaskaFemaleHumansMaleMiddle Agedadverse drug eventselectronic health recordsprimary care

Identifiers

PMID30526246
PMCPMC6557686

What OpenQuestion holds

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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.