Evidence map›Paper›PMID 38789279›Full record

ArticleBMJ open quality2024

Interdisciplinary videoconference model for identifying potential adverse transition of care events following hospital discharge to postacute care.

Evan R Beiter, Akshay Shanbhag, Lauren Junge-Maughan, Kristen Knoph, Alyssa B Dufour, Lewis Lipsitz, Amber Moore

Abstract read
In one paragraph

Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Evan R BeiterStanford University School of Medicine, Stanford, California, USA.
Akshay ShanbhagSignature Healthcare, Brockton, Massachusetts, USA.
Lauren Junge-MaughanNuvance Health, Lagrangeville, New York, USA.
Kristen KnophPharmacy, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Alyssa B DufourHarvard Medical School, Boston, Massachusetts, USA.
Lewis LipsitzHarvard Medical School, Boston, Massachusetts, USA.
Amber MooreHarvard Medical School, Boston, Massachusetts, USA AMOORE21@mgh.harvard.edu.ORCID 0000-0002-7488-5273

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

Discharge from hospitals to postacute care settings is a vulnerable time for many older adults, when they may be at increased risk for errors occurring in their care. We developed the Extension for Community Healthcare Outcomes-Care Transitions (ECHO-CT) programme in an effort to mitigate these risks through a mulitdisciplinary, educational, case-based teleconference between hospital and skilled nursing facility providers. The programme was implemented in both academic and community hospitals. Through weekly sessions, patients discharged from the hospital were discussed, clinical concerns addressed, errors in care identified and plans were made for remediation. A total of 1432 discussions occurred for 1326 patients. The aim of this study was to identify errors occurring in the postdischarge period and factors that predict an increased risk of experiencing an error. In 435 discussions, an issue was identified that required further discussion (known as a transition of care event), and the majority of these were related to medications. In 14.7% of all discussions, a medical error, defined as 'any preventable event that may cause or lead to inappropriate medical care or patient harm', was identified. We found that errors were more likely to occur for patients discharged from surgical services or the emergency department (as compared with medical services) and were less likely to occur for patients who were discharged in the morning. This study shows that a number of errors may be detected in the postdischarge period, and the ECHO-CT programme provides a mechanism for identifying and mitigating these events. Furthermore, it suggests that discharging service and time of day may be associated with risk of error in the discharge period, thereby suggesting potential areas of focus for future interventions.

Indexed as

Patient DischargeSubacute CareVideoconferencingAgedAged, 80 and overContinuity of Patient CareFemaleHumansMaleMedical ErrorsPatient TransferSkilled Nursing FacilitiesCommunicationHuman errorTransitions in care

Identifiers

PMID38789279
PMCPMC11129022

What OpenQuestion holds

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LicenceCC BY-NC
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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.