Evidence map›Paper›PMID 27678461›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

IT-CARES: an interactive tool for case-crossover analyses of electronic medical records for patient safety.

Alexandre Caron, Emmanuel Chazard, Joris Muller, Renaud Perichon, Laurie Ferret, Vassilis Koutkias, Régis Beuscart, Jean-Baptiste Beuscart, Grégoire Ficheur

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Clinical Research Informatics: Contributions from 2017.Yearbook of medical informatics · 2018
    Review
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

9 authors at 3 institutions in 2 countries.

Alexandre CaronDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Emmanuel ChazardDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Joris MullerDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Renaud PerichonDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Laurie FerretDepartment of Pharmacy, CHU Lille, F-59000 Lille, France.
Vassilis KoutkiasInstitute of Applied Biosciences, Center for Research and Technology Hellas, Thermi, Thessaloniki, Greece.
Régis BeuscartDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Jean-Baptiste BeuscartDepartment of Geriatric Medicine, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Grégoire FicheurDepartment of Public Health, Univ. Lille EA 2694, CHU Lille, F-59000 Lille, France.
Université de Lille · FRCentre Hospitalier Universitaire de Lille · FRCentre for Research and Technology Hellas · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe significant risk of adverse events following medical procedures supports a clinical epidemiological approach based on the analyses of collections of electronic medical records. Data analytical tools might help clinical epidemiologists develop more appropriate case-crossover designs for monitoring patient safety.

objectiveTo develop and assess the methodological quality of an interactive tool for use by clinical epidemiologists to systematically design case-crossover analyses of large electronic medical records databases. MATERIAL AND

methodsWe developed IT-CARES, an analytical tool implementing case-crossover design, to explore the association between exposures and outcomes. The exposures and outcomes are defined by clinical epidemiologists via lists of codes entered via a user interface screen. We tested IT-CARES on data from the French national inpatient stay database, which documents diagnoses and medical procedures for 170 million inpatient stays between 2007 and 2013. We compared the results of our analysis with reference data from the literature on thromboembolic risk after delivery and bleeding risk after total hip replacement.

resultsIT-CARES provides a user interface with 3 columns: (i) the outcome criteria in the left-hand column, (ii) the exposure criteria in the right-hand column, and (iii) the estimated risk (odds ratios, presented in both graphical and tabular formats) in the middle column. The estimated odds ratios were consistent with the reference literature data. DISCUSSION: IT-CARES may enhance patient safety by facilitating clinical epidemiological studies of adverse events following medical procedures. The tool's usability must be evaluated and improved in further research.

Indexed as

Cross-Over StudiesElectronic Health RecordsEpidemiologic MethodsPatient SafetyDatabases, FactualHemorrhageHumansRiskSoftwareThromboembolismadverse eventbig dataclinical epidemiologydata analyticsmedical informaticsPatient safety

Identifiers

PMID27678461
PMCPMC5391728
OpenAlexW2525640154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.