Evidence map›Paper›PMID 41668207›Full record

Observational studyAntimicrobial resistance and infection control2026

Application of the infection risk scan in an intensive care unit.

José Miguel Yánez-Ramírez, Luciano Santana-Cabrera, Eva Elisa Álvarez-León, Yanira Del Carmen Zerpa-Pérez, Olivia Perera-Tejera, Rita Ramírez-Falcón, Miguel F Ruiz-Garrido, José Javier Blanco-López, María Desamparados Bernat-Adell

Abstract readObservational Study
In one paragraph

Observational study in Antimicrobial resistance and infection control, 2026. 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

9 authors.

José Miguel Yánez-RamírezComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain. jmyanezram@gmail.com.
Luciano Santana-CabreraComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
Eva Elisa Álvarez-LeónComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
Yanira Del Carmen Zerpa-PérezComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
Olivia Perera-TejeraComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
Rita Ramírez-FalcónComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
Miguel F Ruiz-GarridoDepartment of English Studies, Universitat Jaume I, Castelló de la Plana, Spain.
José Javier Blanco-LópezComplejo Hospitalario Universitario Insular- Materno Infantil de Gran Canaria, Avenida Marítima del Sur, s/n, 35016, Las Palmas de Gran Canaria, Spain.
María Desamparados Bernat-AdellUniversitat Jaume I. Castelló de la Plana, Castelló de la Plana, Spain.

Funding

Canary Islands Health Service through the Canary Islands Health Research Institute Foundation (FIISC) EXP.: ENF22/13
6 · The paper itself

Abstract

backgroundHealthcare Associated Infections generate a high cost in healthcare systems. The Infection Risk Scan (IRIS) tool may be a suitable tool to assess the quality of infection prevention measures in Intensive Care Units (ICU). The aims are to identify individual risk factors in patients and quantify the degree of non-compliance with measures to prevent healthcare-associated infections using the IRIS method in an ICU.

methodsIt is an observational and cross-sectional study. The method was piloted in 8 beds and subsequently in 32 beds in a tertiary hospital. Adult patients (> 18 years) admitted to ICU during the study and healthcare staff belonging to the ICU. Risk of infection and adherence to prevention measures were measured. The IRIS consists of two parts called risk profile and improvement chart. In the first, variables related to the patient's history and susceptibility to acquiring a healthcare-associated infection were studied, and in the second, the adequacy of procedures performed on the patient or their environment, considered important indicators for infection control, were assessed.

resultsCritically ill patients had a high use of invasive devices such as central venous catheters, urinary catheters and invasive mechanical ventilation. Adherence to healthcare-associated infection prevention measures could be improved due to high non-compliance with hand hygiene (48% non-compliance in the first measurement and 55.6% in the second measurement), non-compliance with hygiene recommendations among healthcare workers (> 4 workers wore at least a wristband and/or wristwatch in the second measurement) and insufficient cleaning and disinfection of surfaces and equipment in both measurements (some surfaces were completely clean).

conclusionThe IRIS provides comprehensive information on the quality of infection prevention measures and offers an opportunity for focused improvement in infection control based on the results of the improvement chart.

Indexed as

Cross InfectionInfection ControlIntensive Care UnitsAdultAgedCross-Sectional StudiesFemaleGuideline AdherenceHand HygieneHumansMaleMiddle AgedRisk FactorsTertiary Care CentersHealthcare associated infectionInfection prevention and controlIntensive care unit

Identifiers

PMID41668207
PMCPMC12990479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.