Evidence map›Paper›PMID 24973014›Full record

Observational studyJournal of clinical monitoring and computing2015

The implementation of an Intensive Care Information System allows shortening the ICU length of stay.

Eric Levesque, Emir Hoti, Daniel Azoulay, Philippe Ichai, Didier Samuel, Faouzi Saliba

Open access · bronzeAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Eric LevesqueCentre Hépato-Biliaire, Hôpital Paul Brousse, AP-HP, 12 Avenue Paul-Vaillant-Couturier, 94804, Villejuif, France, eric.levesque@hmn.aphp.fr.
Emir Hoti
Daniel Azoulay
Philippe Ichai
Didier Samuel
Faouzi Saliba
Assistance Publique – Hôpitaux de Paris · FRHôpital Paul-Brousse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensive care information systems (ICIS) implemented in intensive care unit (ICU) were shown to improve patient safety, reduce medical errors and increase the time devolved by medical/nursing staff to patients care. Data on the real impact of ICIS on patient outcome are scarce. This study aimed to evaluate the effects of ICIS on the outcome of critically-ill patients. From January 2004 to August 2006, 1,397 patients admitted to our ICU were enrolled in this observational study. This period was divided in two phases: before the implementation of ICIS (BEFORE) and after implementation of ICIS (AFTER). We compared standard ICU patient's outcomes: mortality, length of stay in ICU, hospital stay, and the re-admission rate depending upon BEFORE and AFTER. Although patients admitted AFTER were more severely ill than those of BEFORE (SAPS II: 32.1±17.5 vs. 30.5±18.5, p=0.014, respectively), their ICU length of stay was significantly shorter (8.4±15.2 vs. 6.8±12.9 days; p=0.048) while the re-admission rate and mortality rate were similar (4.4 vs. 4.2%; p=0.86, and 9.6 vs 11.2% p=0.35, respectively) in patients admitted AFTER. We observed that the implementation of ICIS allowed shortening of ICU length of stay without altering other patient outcomes.

Indexed as

AdolescentAdultAgedAged, 80 and overChildCritical IllnessFemaleFranceHospital Information SystemsHumansIntensive Care UnitsLength of StayMaleMiddle AgedPatient ReadmissionPrevalence

Identifiers

PMID24973014
OpenAlexW1967870003

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.