Evidence map›Paper›PMID 41854200›Full record

ArticleJournal of medical Internet research2026

Impact of Tele-Intensive Care Units on the Clinical Outcomes of Critically Ill Patients With COVID-19: Retrospective Cohort Study.

Thais Dias Midega, Fabio Barlem Hohmann, Renato Carneiro de Freitas Chaves, Guacyra Margarita Batista de Almeida, Vivian Jaqueline Lima Leoneza, Jennifer Ferreira Figueiredo Cabral, Bianca Veloso Vitalino, Emanuelle de Araújo Camboim, Nelma de Jesus Nogueira Machado, Ricardo Fernando Batista de Melo and 7 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

17 authors.

Thais Dias MidegaDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-1010-3711
Fabio Barlem HohmannDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-2863-8298
Renato Carneiro de Freitas ChavesDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0001-7324-272X
Guacyra Margarita Batista de AlmeidaDepartment of Critical Care Medicine, Hospital de Emergência Dr. Daniel Houly, Arapiraca, Brazil.ORCID https://orcid.org/0009-0005-2663-2537
Vivian Jaqueline Lima LeonezaDepartment of Critical Care Medicine, Santa Casa de Misericórdia de Sorocaba, Sorocaba, Brazil.ORCID https://orcid.org/0009-0006-3203-9673
Jennifer Ferreira Figueiredo CabralDepartment of Critical Care Medicine, Hospital Regional do Cariri, Juazeiro do Norte, Brazil.ORCID https://orcid.org/0000-0001-7412-3773
Bianca Veloso VitalinoDepartment of Critical Care Medicine, Santa Casa de Misericórdia de São João del-Rei, São João del-Rei, Brazil.ORCID https://orcid.org/0000-0001-6005-9053
Emanuelle de Araújo CamboimDepartment of Critical Care Medicine, Hospital Metropolitano Sul Dom Helder Câmara, Cabo de Santo Agostinho, Brazil.ORCID https://orcid.org/0009-0009-3192-8155
Nelma de Jesus Nogueira MachadoDepartment of Critical Care Medicine, Santa Casa de Misericórdia do Pará, Belém, Brazil.ORCID https://orcid.org/0000-0003-4991-1027
Ricardo Fernando Batista de MeloDepartment of Critical Care Medicine, Hospital Santa Lúcia, Poços de Caldas, Brazil.ORCID https://orcid.org/0009-0008-3608-9277
Jorge Patrick Oliveira FelicianoDepartment of Critical Care Medicine, Dom Orione Hospital, Araguaína, Brazil.ORCID https://orcid.org/0009-0002-1800-8935
Breno Mendes CardosoDepartment of Critical Care Medicine, Hospital Municipal Senhora Santana, Brasília de Minas, Brazil.ORCID https://orcid.org/0009-0000-1262-6447
Leonardo José Rolim FerrazDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0003-1822-1568
Thiago Domingos CorrêaDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0001-9546-3910
Maura Cristina Dos SantosDepartment of Telemedicine, Hospital Israelita Albert Einstein., São Paulo, Brazil.ORCID https://orcid.org/0000-0001-9546-5780
Renata Albaladejo MorbeckDepartment of Telemedicine, Hospital Israelita Albert Einstein., São Paulo, Brazil.ORCID https://orcid.org/0000-0003-1789-1738
Adriano José PereiraDepartment of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-3528-3800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic imposed an unprecedented demand for intensive care unit (ICU) resources in Brazil, where shortages of trained intensivists prompted the implementation of telemedicine-based critical care support strategies.

objectiveThis study aimed to evaluate the association between adherence to the Tele-ICU COVID-19 Brazil Program and clinical outcomes of ICU patients with COVID-19.

methodsWe conducted a retrospective cohort study including all ICUs participating in the Tele-ICU COVID-19 Brazil Program between April and December 2020. Program adherence was assessed at 2 levels: patient coverage, defined as the number of daily multidisciplinary rounds per patient divided by the patient's total ICU length of stay (LOS), and ICU coverage, defined as the number of daily multidisciplinary round days in the ICU divided by the total number of patient-days in that ICU. We compared outcomes between groups categorized by an empirically defined 50% cutoff: low patient coverage (<50%) versus high patient coverage (≥50%) and low ICU coverage (<50%) versus high ICU coverage (≥50%). Multilevel mixed-effects models accounting for ICU-level clustering were used to assess outcomes: logistic regression for ICU mortality (adjusted odds ratios) and linear mixed-effects regression with log-transformed ICU LOS (exponentiated coefficients, exp[β]).

resultsA total of 1680 patients were included. Compared with the low patient coverage group (<50%), patients in the high patient coverage (≥50%) had lower Sequential Organ Failure Assessment scores (median 2, IQR 0-5 vs median 3, IQR 0-6; P=.007); shorter ICU LOS (median 6, IQR 3-11 days vs median 11, IQR 6-20 days; P<.001); and shorter hospital LOS (median 9, IQR 5-16 days vs median 14, IQR 8-26 days; P<.001). In unadjusted analyses, ICU mortality did not differ significantly between the low and high patient coverage groups (50.1% vs 46.3%; P=.16). In multilevel analysis, mechanical ventilation and vasopressor use were independently associated with higher ICU mortality. Higher patient coverage was independently associated with lower ICU mortality (adjusted odds ratio 0.52, 95% CI 0.27-0.99; P=.048). In the log-transformed mixed-effects model for ICU LOS, a higher Sequential Organ Failure Assessment score (exp[β] 1.037, 95% CI 1.02-1.05; P<.001) and use of mechanical ventilation (exp[β] 1.23, 95% CI 1.05-1.43; P=.01) were associated with longer ICU LOS, whereas higher patient coverage was independently associated with shorter ICU LOS (exp[β] 0.17, 95% CI 0.13-0.21; P<.001). ICU coverage was not independently associated with ICU mortality or ICU LOS.

conclusionsGreater patient-level coverage by remote intensivist-led multidisciplinary rounds within the Tele-ICU program was independently associated with lower ICU mortality and shorter ICU LOS. These findings support the potential contribution of tele-critical care strategies to expanding specialist support during public health emergencies.

Indexed as

COVID-19Critical CareCritical IllnessIntensive Care UnitsTelemedicineAgedBrazilFemaleHospital MortalityHumansLength of StayMaleMiddle AgedRetrospective StudiesSARS-CoV-2clinical outcomescoronavirusCOVID-19intensive care unitmortalitySARS-CoV-2Tele-ICUtele–intensive care unittelemedicine

Identifiers

PMID41854200
PMCPMC13047357

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.