Evidence map›Paper›PMID 26765148›Full record

ArticleMedical care2016

ICU Telemedicine and Critical Care Mortality: A National Effectiveness Study.

Jeremy M Kahn, Tri Q Le, Amber E Barnato, Marilyn Hravnak, Courtney C Kuza, Francis Pike, Derek C Angus

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03786497 (Protecting Brains and Saving Futures - the PBSF Protocol), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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.

NCT03786497 unknown statusnot on this mapstarted 2021, after this paper: background citation

Protecting Brains and Saving Futures - the PBSF Protocol: a Prospective Multicenter and Observational Study on the Use of Telemedicine for Neurocritical Care in High-risk Newborns in Brazil.

Typeobservational_patient_registrySponsorProtecting Brains Saving FuturesRan2021 to 2023Enrolled2,268ConditionsBrain Injuries, Congenital Heart Disease, Newborn Morbidity, Intraventricular Hemorrhage
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Telemedicine in Intensive Care Units: Scoping Review.Journal of medical Internet research · 2021
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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

7 authors.

Jeremy M Kahn*Department of Critical Care Medicine, CRISMA Center, University of Pittsburgh School of Medicine †Department of Health Policy & Management, University of Pittsburgh Graduate School of Public Health ‡Division of General Internal Medicine, University of Pittsburgh School of Medicine §Department of Acute and Tertiary Care, University of Pittsburgh School of Nursing ∥Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
Tri Q Le
Amber E Barnato
Marilyn Hravnak
Courtney C Kuza
Francis Pike
Derek C Angus

Funding

Organizational Determinants of ICU Telemedicine EffectivenessR01HL120980 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAHN, JEREMY M · 2014 to 2017
$2.3M
NHLBI NIH HHS R01 HL120980NHLBI NIH HHS R01HL120980
6 · The paper itself

Abstract

backgroundIntensive care unit (ICU) telemedicine is an increasingly common strategy for improving the outcome of critical care, but its overall impact is uncertain.

objectivesTo determine the effectiveness of ICU telemedicine in a national sample of hospitals and quantify variation in effectiveness across hospitals. RESEARCH

designWe performed a multicenter retrospective case-control study using 2001-2010 Medicare claims data linked to a national survey identifying US hospitals adopting ICU telemedicine. We matched each adopting hospital (cases) to up to 3 nonadopting hospitals (controls) based on size, case-mix, and geographic proximity during the year of adoption. Using ICU admissions from 2 years before and after the adoption date, we compared outcomes between case and control hospitals using a difference-in-differences approach.

resultsA total of 132 adopting case hospitals were matched to 389 similar nonadopting control hospitals. The preadoption and postadoption unadjusted 90-day mortality was similar in both case hospitals (24.0% vs. 24.3%, P=0.07) and control hospitals (23.5% vs. 23.7%, P<0.01). In the difference-in-differences analysis, ICU telemedicine adoption was associated with a small relative reduction in 90-day mortality (ratio of odds ratios=0.96; 95% CI, 0.95-0.98; P<0.001). However, there was wide variation in the ICU telemedicine effect across individual hospitals (median ratio of odds ratios=1.01; interquartile range, 0.85-1.12; range, 0.45-2.54). Only 16 case hospitals (12.2%) experienced statistically significant mortality reductions postadoption. Hospitals with a significant mortality reduction were more likely to have large annual admission volumes (P<0.001) and be located in urban areas (P=0.04) compared with other hospitals.

conclusionsAlthough ICU telemedicine adoption resulted in a small relative overall mortality reduction, there was heterogeneity in effect across adopting hospitals, with large-volume urban hospitals experiencing the greatest mortality reductions.

Indexed as

AgedAged, 80 and overCase-Control StudiesComorbidityDiagnosis-Related GroupsFemaleHospital MortalityHospitals, High-VolumeHumansIntensive Care UnitsLength of StayMaleMedicarePatient DischargeResidence CharacteristicsRetrospective Studies

Identifiers

PMID26765148
PMCPMC4752864

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Registered trials

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.