Evidence map›Paper›PMID 22071528›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

The impact of electronic health records on care of heart failure patients in the emergency room.

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

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Observational
  6. The impact of electronic health records on people with diabetes in three different emergency departments.Journal of the American Medical Informatics Association : JAMIA · 2014
    Article
  7. Article
  8. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  9. 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

10 authors at 5 institutions in 3 countries.

Donald P ConnellyDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota 55455, USA. don@umn.edu
Young-Taek Park
Jing Du
Nawanan Theera-Ampornpunt
Bradley D Gordon
Barry A Bershow
Raymond A Gensinger
Michael Shrift
Daniel T Routhe
Stuart M Speedie
University of Minnesota · USAllina Health · USHealth Insurance Review and Assessment Service · KRRamathibodi Hospital · THRegions Hospital · US

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) have observable effects on care outcomes, we examined quality and efficiency measures for patients presenting to emergency departments (ED). MATERIALS AND

methodsWe conducted a retrospective study of 5166 adults with heart failure in three metropolitan EDs. Patients were termed internal if prior information was in the EHR upon ED presentation, otherwise external. Associations of internality with hospitalization, mortality, length of stay (LOS), and numbers of tests, procedures, and medications ordered in the ED were examined after adjusting for age, gender, race, marital status, comorbidities and hospitalization as a proxy for acuity level where appropriate.

resultsAt two EDs internals had lower odds of mortality if hospitalized (OR 0.55; 95% CI 0.38 to 0.81 and 0.45; 0.21 to 0.96), fewer laboratory tests during the ED visit (-4.6%; -8.9% to -0.1% and -14.0%; -19.5% to -8.1%) as well as fewer medications (-33.6%; -38.4% to -28.4% and -21.3%; -33.2% to -7.3%). At one of these two EDs, internals had lower odds of hospitalization (0.37; 0.22 to 0.60). At the third ED, internal patients only experienced a prolonged ED LOS (32.3%; 6.3% to 64.8%) but no other differences. There was no association with hospital LOS or number of procedures ordered. DISCUSSION: EHR availability was associated with salutary outcomes in two of three ED settings and prolongation of ED LOS at a third, but evidence was mixed and causality remains to be determined.

conclusionsAn EHR may have the potential to be a valuable adjunct in the care of heart failure patients.

Indexed as

Electronic Health RecordsMedical Record LinkageOutcome Assessment, Health CareAdultAgedCross-Sectional StudiesEmergenciesFemaleHeart FailureHospital MortalityHumansLength of StayLogistic ModelsMaleMinnesotaPatient Admission

Identifiers

PMID22071528
PMCPMC3341780
OpenAlexW2110150035

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.