Literature DB >> 24306581

A multicenter study of ICU telemedicine reengineering of adult critical care.

Craig M Lilly1, John M McLaughlin2, Huifang Zhao3, Stephen P Baker4, Shawn Cody5, Richard S Irwin6.   

Abstract

BACKGROUND: Few studies have evaluated both the overall effect of ICU telemedicine programs and the effect of individual components of the intervention on clinical outcomes.
METHODS: The effects of nonrandomized ICU telemedicine interventions on crude and adjusted mortality and length of stay (LOS) were measured. Additionally, individual intervention components related to process and setting of care were evaluated for their association with mortality and LOS.
RESULTS: Overall, 118,990 adult patients (11,558 control subjects, 107,432 intervention group patients) from 56 ICUs in 32 hospitals from 19 US health-care systems were included. After statistical adjustment, hospital (hazard ratio [HR]=0.84; 95% CI, 0.78-0.89; P<.001) and ICU (HR=0.74; 95% CI, 0.68-0.79; P<.001) mortality in the ICU telemedicine intervention group was significantly better than that of control subjects. Moreover, adjusted hospital LOS was reduced, on average, by 0.5 (95% CI, 0.4-0.5), 1.0 (95% CI, 0.7-1.3), and 3.6 (95% CI, 2.3-4.8) days, and adjusted ICU LOS was reduced by 1.1 (95% CI, 0.8-1.4), 2.5 (95% CI, 1.6-3.4), and 4.5 (95% CI, 1.5-7.2) days among those who stayed in the ICU for ≥7, ≥14, and ≥30 days, respectively. Individual components of the interventions that were associated with lower mortality, reduced LOS, or both included (1) intensivist case review within 1 h of admission, (2) timely use of performance data, (3) adherence to ICU best practices, and (4) quicker alert response times.
CONCLUSIONS: ICU telemedicine interventions, specifically interventions that increase early intensivist case involvement, improve adherence to ICU best practices, reduce response times to alarms, and encourage the use of performance data, were associated with lower mortality and LOS.

Entities:  

Mesh:

Year:  2014        PMID: 24306581     DOI: 10.1378/chest.13-1973

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  33 in total

1.  Reliability of Robotic Telemedicine for Assessing Critically Ill Patients with the Full Outline of UnResponsiveness Score and Glasgow Coma Scale.

Authors:  Amelia K Adcock; Heidi Kosiorek; Prachi Parikh; Alyssa Chauncey; Qing Wu; Bart M Demaerschalk
Journal:  Telemed J E Health       Date:  2017-01-13       Impact factor: 3.536

2.  Using electronic medical record notes to measure ICU telemedicine utilization.

Authors:  Amy M J O'Shea; Mary Vaughan Sarrazin; Boulos Nassar; Peter Cram; Lynelle Johnson; Robert Bonello; Ralph J Panos; Heather S Reisinger
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

Review 3.  Telemedicine Coverage of Intensive Care Units: A Narrative Review.

Authors:  Kelly C Vranas; Christopher G Slatore; Meeta Prasad Kerlin
Journal:  Ann Am Thorac Soc       Date:  2018-11

4.  [Telemedicine in the ICU - the possibilities and limitations of an innovation].

Authors:  R Deisz; G Marx
Journal:  Med Klin Intensivmed Notfmed       Date:  2016-08-01       Impact factor: 0.840

5.  The Impact of Enhanced Critical Care Training and 24/7 (Tele-ICU) Support on Medicare Spending and Postdischarge Utilization Patterns.

Authors:  Matthew J Trombley; Andrea Hassol; Jennifer T Lloyd; Timothy G Buchman; Allison F Marier; Alan White; Erin Colligan
Journal:  Health Serv Res       Date:  2017-12-27       Impact factor: 3.402

6.  External Intensivists Versus In-House Intensivists: Analysis of Outcomes of Nighttime Coverage of ICUs by External On-Call and In-House On-Call Intensivists.

Authors:  Madhuri Ramakrishnan; Siva Sagar Taduru; Parth Patel; Mustafa Younis; Majdi Hamarshi
Journal:  Mo Med       Date:  2019 Jul-Aug

Review 7.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

Review 8.  The empirical foundations of telemedicine interventions for chronic disease management.

Authors:  Rashid L Bashshur; Gary W Shannon; Brian R Smith; Dale C Alverson; Nina Antoniotti; William G Barsan; Noura Bashshur; Edward M Brown; Molly J Coye; Charles R Doarn; Stewart Ferguson; Jim Grigsby; Elizabeth A Krupinski; Joseph C Kvedar; Jonathan Linkous; Ronald C Merrell; Thomas Nesbitt; Ronald Poropatich; Karen S Rheuban; Jay H Sanders; Andrew R Watson; Ronald S Weinstein; Peter Yellowlees
Journal:  Telemed J E Health       Date:  2014-06-26       Impact factor: 3.536

9.  Telemedicine coverage for post-operative ICU patients.

Authors:  Tara Ann Collins; Matthew P Robertson; Corinna P Sicoutris; Michael A Pisa; Daniel N Holena; Patrick M Reilly; Benjamin A Kohl
Journal:  J Telemed Telecare       Date:  2016-07-09       Impact factor: 6.184

10.  The Association of ICU Acuity With Adherence to ICU Evidence-Based Processes of Care.

Authors:  Kelly C Vranas; Jennifer Y Scott; Omar Badawi; Michael O Harhay; Christopher G Slatore; Donald R Sullivan; Meeta Prasad Kerlin
Journal:  Chest       Date:  2020-03-27       Impact factor: 9.410

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