Evidence map›Paper›PMID 33393935›Full record

ArticleJMIR perioperative medicine2019

Impact of an Intensive Care Information System on the Length of Stay of Surgical Intensive Care Unit Patients: Observational Study.

Camille Havel, Jean Selim, Emmanuel Besnier, Philippe Gouin, Benoit Veber, Thomas Clavier

Abstract read
In one paragraph

Article in JMIR perioperative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Camille HavelDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0003-3357-8717
Jean SelimDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0002-1395-1601
Emmanuel BesnierDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0002-0267-0986
Philippe GouinDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0002-4078-4730
Benoit VeberDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0002-5938-7284
Thomas ClavierDepartment of Anesthesiology and Critical Care, Rouen University Hospital, Rouen, France.ORCID http://orcid.org/0000-0001-8630-7537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implementation of computerized monitoring and prescription systems in intensive care has proven to be reliable in reducing the rate of medical error and increasing patient care time. They also showed a benefit in reducing the length of stay in the intensive care unit (ICU). However, this benefit has been poorly studied, with conflicting results.

objectiveThis study aimed to show the impact of computerization on the length of stay in ICUs.

methodsThis was a before-after retrospective observational study. All patients admitted in the surgical ICU at the Rouen University Hospital were included, from June 1, 2015, to June 1, 2016, for the before period and from August 1, 2016, to August 1, 2017, for the after period. The data were extracted from the hospitalization report and included the following: epidemiological data (age, sex, weight, height, and body mass index), reason for ICU admission, severity score at admission, length of stay and mortality in ICU, mortality in hospital, use of life support during the stay, and ICU readmission during the same hospital stay. The consumption of antibiotics, biological analyses, and the number of chest x-rays during the stay were also analyzed.

resultsA total of 1600 patients were included: 839 in the before period and 761 in the after period. Only the severity score Simplified Acute Physiology Score II was significantly higher in the postcomputerization period (38 [SD 20] vs 40 [SD 21]; P<.05). There was no significant difference in terms of length of stay in ICU, mortality, or readmission during the stay. There was a significant increase in the volume of prescribed biological analyses (5416 [5192-5956] biological exams prescribed in the period before Intellispace Critical Care and Anesthesia [ICCA] vs 6374 [6013-6986] biological exams prescribed in the period after ICCA; P=.002), with an increase in the total cost of biological analyses, to the detriment of hematological and biochemical blood tests. There was also a trend toward reduction in the average number of chest x-rays, but this was not significant (0.55 [SD 0.39] chest x-rays per day per patient before computerization vs 0.51 [SD 0.37] chest x-rays per day per patient after computerization; P=.05). On the other hand, there was a decrease in antibiotic prescribing in terms of cost per patient after the implementation of computerization (€149.50 [$164 USD] per patient before computerization vs €105.40 [$155 USD] per patient after computerization).

conclusionsImplementation of an intensive care information system at the Rouen University Hospital in June 2016 did not have an impact on reducing the length of stay.

Indexed as

critically ill patientintensive care unitlength of staysoftware

Identifiers

PMID33393935
PMCPMC7709852

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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.