Evidence map›Paper›PMID 28197420›Full record

ReviewJournal of diabetes research2017

The Challenges of Electronic Health Records and Diabetes Electronic Prescribing: Implications for Safety Net Care for Diverse Populations.

Neda Ratanawongsa, Lenny L S Chan, Michelle M Fouts, Elizabeth J Murphy

Abstract readReview
In one paragraph

Review in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neda RatanawongsaDivision of General Internal Medicine, Department of Medicine, UCSF Center for Vulnerable Populations, University of California, San Francisco, 1001 Potrero Avenue, Box 1364, San Francisco, CA 94143, USA.ORCID 0000-0001-9944-6923
Lenny L S ChanSan Francisco Department of Public Health, 1001 Potrero Avenue, San Francisco, CA 94110, USA.
Michelle M FoutsLaguna Honda Hospital and Rehabilitation Center, 375 Laguna Honda Blvd, San Francisco, CA 94116, USA.
Elizabeth J MurphyDivision of Endocrinology, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Box 0862, San Francisco, CA 94143, USA.

Funding

Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Building an Ambulatory Patient Safety Learning Laboratory for Diverse PopulationsP30HS023558 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2014 to 2017
$3.9M
Integrating Adherence into a Safety Net EHR Tool to Improve Decision-makingK08HS022561 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RATANAWONGSA, NEDA · 2014 to 2017
$621k
AHRQ HHS K08 HS022561AHRQ HHS P30 HS023558NCATS NIH HHS KL2 TR000143NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

Widespread electronic health record (EHR) implementation creates new challenges in the diabetes care of complex and diverse populations, including safe medication prescribing for patients with limited health literacy and limited English proficiency. This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, we present evidence for (1) the adoption of RxNorm; (2) standardized naming and picklist options for high alert medications such as insulin; (3) the widespread implementation of universal medication schedule and language-concordant labels, with the expansion of electronic prescription 140-character limit; (4) enhanced bidirectional communication with pharmacy partners; and (5) informatics and implementation research in safety net healthcare systems to examine how EHR tools and practices affect diverse vulnerable populations.

Indexed as

Electronic Health RecordsElectronic PrescribingPatient SafetyDiabetes MellitusHumans

Identifiers

PMID28197420
PMCPMC5286474

What OpenQuestion holds

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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.