Evidence map›Paper›PMID 23842938›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2014

The impact of electronic health records on people with diabetes in three different emergency departments.

Stuart M Speedie, Young-Taek Park, Jing Du, Nawanan Theera-Ampornpunt, Barry A Bershow, Raymond A Gensinger, Daniel T Routhe, Donald P Connelly

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2014. 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
3.4field-weighted citation impact, top 8% of its field
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, 20 citations in OpenAlex.

  1. Trial
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  3. Observational
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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

8 authors at 4 institutions in 3 countries.

Stuart M SpeedieInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
Young-Taek Park
Jing Du
Nawanan Theera-Ampornpunt
Barry A Bershow
Raymond A Gensinger
Daniel T Routhe
Donald P Connelly
University of Minnesota · USFairview Health Services · USHealth Insurance Review and Assessment Service · KRMahidol University · TH

Funding

A Community-shared Clinical Abstract to Improve CareUC1HS016155 · AHRQ · FAIRVIEW HEALTH SERVICES · PI CONNELLY, DONALD PATRICK · 2005 to 2007
$997k
AHRQ HHS UC1 HS016155AHRQ HHS UC1 HS16155
6 · The paper itself

Abstract

objectiveTo evaluate if electronic health records (EHR) with prior clinical information have observable effects for patients with diabetes presenting to emergency departments (ED), we examined measures of quality and resource utilization. MATERIALS AND

methodsRetrospective observational studies of patients in three ED (A=5510; B=4393; C=3324) were conducted comparing patients with prior information in the EHR to those without such information. Differences with respect to hospitalization, mortality, length of stay (LOS), and numbers of ED orders for tests, procedures and medications were examined after adjusting for age, gender, race, marital status, comorbidities and for acuity level within each ED.

resultsThere were 7% fewer laboratory test orders at one ED and 3% fewer at another; fewer diagnostic procedures were performed at two of the sites. At one site 36% fewer medications were ordered. The odds of being hospitalized were lower for EHR patients at one site and hospital LOS was shorter at two of the sites. EHR patient ED LOS was 18% longer at one site. There was no demonstrable impact of an EHR on mortality. Results varied in magnitude and direction by site. DISCUSSION: The pattern of significant results varied by ED but tended to reveal reduced utilization and better outcomes for patients although EHR patients' ED LOS was longer at one site.

conclusionsThe presence of prior information in an EHR may be a valuable adjunct in the care of diabetes patients in ED settings but the pattern of impact may vary from ED to ED.

Indexed as

Diabetes MellitusElectronic Health RecordsAgedClinical Laboratory TechniquesEmergency Service, HospitalFemaleHealth ResourcesHospitalizationHumansLength of StayMaleMiddle AgedMinnesotaQuality of Health CareRetrospective Studiesdiabeteselectronic health recordsemergency departmentevaluationhealth outcome assessment

Identifiers

PMID23842938
PMCPMC3957391
OpenAlexW1501925895

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.