Evidence map›Paper›PMID 34235456›Full record

ArticleCritical care explorations2021

Characteristics of U.S. Acute Care Hospitals That Have Implemented Telemedicine Critical Care.

Uchenna R Ofoma, Thomas M Maddox, Chamila Perera, R J Waken, Anne M Drewry, Lei Liu, Walter Boyle, Marin Kollef, Karen E Joynt Maddox

Abstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Uchenna R OfomaDivision of Critical Care Medicine, Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO.
Thomas M MaddoxDivision of Cardiology, Department of Medicine, Washington University in St. Louis, St. Louis, MO.
Chamila PereraDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO.
R J WakenDivision of Cardiology, Department of Medicine, Washington University in St. Louis, St. Louis, MO.
Anne M DrewryDivision of Critical Care Medicine, Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO.
Lei LiuDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO.
Walter BoyleDivision of Critical Care Medicine, Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO.
Marin KollefDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO.
Karen E Joynt MaddoxDivision of Cardiology, Department of Medicine, Washington University in St. Louis, St. Louis, MO.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
WASHINGTON UNIVERSITY COMPARATIVE EFFECTIVENESS ADMINISTRATIVE DATA REPOSITORYR24HS019455 · AHRQ · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$969k
AHRQ HHS R24 HS019455NCATS NIH HHS UL1 TR002345
6 · The paper itself

Abstract

objectivesTelemedicine critical care is associated with improved efficiency, quality, and cost-effectiveness. As of 2010, fewer than 5% of U.S. hospitals had telemedicine critical care, and fewer than 10% of ICU beds were covered. We evaluated recent telemedicine critical care implementation and bed coverage rates in the United States and compared characteristics of hospitals with and without telemedicine critical care.

designCross-sectional study of 2018 American Hospital Association Annual Survey Database.

settingU.S. hospitals. PATIENTS: None.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe obtained data regarding telemedicine critical care implementation, ICU capability (defined as ≥ 1 ICU bed), other hospital characteristics, and the Herfindahl-Hirschman Index, a measure of ICU market competition based on hospital referral regions. Among 4,396 hospitals (response rate 71%), 788 (17.9%) had telemedicine critical care, providing potential coverage to 27,624 (28% of total) ICU beds. Among 306 hospital referral regions, 197 (64%) had a respondent hospital with telemedicine critical care. Telemedicine critical care implementation was associated with being a nonprofit (odds ratio, 7.75; 95% CI, 5.18-11.58) or public (odds ratio, 4.16 [2.57-6.73]) compared with for-profit hospital; membership in a health system (odds ratio, 3.83 [2.89-5.08]; stroke telemedicine presence (odds ratio, 6.87 [5.35-8.81]); ICU capability (odds ratio, 1.68 [1.25-2.26]); and more competitive ICU markets (odds ratio per 1,000-point decrease in Herfindahl-Hirschman Index 1.11 [1.01-1.22]). Notably, rural critical access hospitals had lower odds of telemedicine critical care implementation (odds ratio, 0.49 [0.34-0.70]). Teaching status, geographic region, and rurality were not associated with telemedicine critical care implementation.

conclusionsAbout one fifth of respondent hospitals had telemedicine critical care by 2018, providing potential coverage of nearly one third of reported ICU beds. This represents a substantial increase in telemedicine critical care implementation over the last decade. Future expansion to include more rural hospitals that could benefit most may be aided by addressing hospital financial and market barriers to telemedicine critical care implementation.

Indexed as

electronic intensive care unitintensive care unit organizationtele-critical caretele-intensive care unittelemedicine

Identifiers

PMID34235456
PMCPMC8245115

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.