Evidence map›Paper›PMID 35991667›Full record

ArticleFrontiers in medicine2022

Operation analysis of the tele-critical care service demonstrates value delivery, service adaptation over time, and distress among tele-providers.

Krzysztof Laudanski, Ann Marie Huffenberger, Michael J Scott, Maria Williams, Justin Wain, Juliane Jablonski, C William Hanson

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Krzysztof LaudanskiDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Ann Marie HuffenbergerPenn Medicine Center for Connected Care, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Michael J ScottDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Maria WilliamsPenn Medicine Center for Connected Care, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Justin WainCampbell University School of Osteopathic Medicine, Lillington, NC, United States.
Juliane JablonskiUniversity of Pennsylvania Health System, Philadelphia, PA, United States.
C William HansonDepartment of Anesthesiology and Critical Care, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our study addresses the gaps in knowledge of the characterizations of operations by remote tele-critical care medicine (tele-CCM) service providers interacting with the bedside team. The duration of engagements, the evolution of the tele-CCM service over time, and the distress during interactions with the bedside team have not been characterized systematically. These characteristics are critical for planning the deployment of teleICU services and preventing burnout among remote teleICU providers. Methods: REDCap self-reported activity logs collected engagement duration, triggers ( Results: 39,915 total engagements were registered. eMDs had a significantly higher percentage of Conclusions: Delivery of tele-CCM services has to be tailored to the specific beneficiary of tele-CCM services to optimize care delivery and minimize distress. In addition, the duration of the average intervention must be considered while creating an efficient workflow.

Indexed as

communicationcritical caredistressimplementationintensive care unittele-CCMtele-ICUworkflow

Identifiers

PMID35991667
PMCPMC9388902

What OpenQuestion holds

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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.