Evidence map›Paper›PMID 33496665›Full record

ArticleJournal of hospital medicine2021

ECHO-CT: An Interdisciplinary Videoconference Model for Identifying Potential Postdischarge Transition-of-Care Events.

Mariana R Gonzalez, Lauren Junge-Maughan, Lewis A Lipsitz, Amber Moore

Open access · bronzeAbstract read
In one paragraph

Article in Journal of hospital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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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

4 authors at 3 institutions in 1 country.

Mariana R GonzalezDivision of Geriatrics and Extended Care, Corporal Michael J. Crescenz Veteran's Affairs Medical Center, Philadelphia, Pennsylvania.
Lauren Junge-MaughanDivision of Gerontology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Lewis A LipsitzDivision of Gerontology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Amber MooreHarvard Medical School, Boston, Massachusetts.
Beth Israel Deaconess Medical Center · USHarvard University · USPhiladelphia VA Medical Center · US

Funding

Improving Safety of Transitions to Skilled Nursing Care Using Video-conferencingR01HS025702 · AHRQ · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LIPSITZ, LEWIS · 2018 to 2020
$1.4M
AHRQ HHS R01 HS025702
6 · The paper itself

Abstract

backgroundDischarge from the hospital to a post-acute care setting can be complex and potentially dangerous, with opportunities for errors and lapses in communication between providers. Data collected through the Extension for Community Health Outcomes- Care Transitions (ECHO-CT) model were used to identify and classify transition-of-care events (TCEs).

methodsThe ECHO-CT model employs multidisciplinary videoconferences between a hospital-based team and providers in post-acute care settings; during these conferences, concerns regarding the patient's care transition were identified and recorded. The videoconferences took place from January 2016 to October 2018 and included patients discharged from inpatient medical and surgical services to a total of eight participating post-acute care facilities (skilled nursing facilities or long-term acute care hospitals).

resultsDuring the interdisciplinary videoconferences in this period, 675 patients were discussed. A total of 139 TCEs were identified; 58 (41.7%) involved discharge communication or coordination errors and 52 (37.4%) were classified as medication issues.

conclusionThe TCEs identified in this study highlight areas in which providers can work to reduce issues arising during the course of discharge to post-acute care facilities. Standardized processes to identify, record, and report TCEs are necessary to provide high-quality, safe care for patients as they move across care settings.

Indexed as

Patient DischargePatient TransferAftercareHumansTomography, X-Ray ComputedVideoconferencing

Identifiers

PMID33496665
PMCPMC7850596
OpenAlexW3124489881

What OpenQuestion holds

Textmetadata
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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.