Evidence map›Paper›PMID 34747702›Full record

ArticleJMIR human factors2021

The Effectiveness of a Multidisciplinary Electronic Discharge Readiness Tool: Prospective, Single-Center, Pre-Post Study.

Angela Keniston, Lauren McBeth, Jonathan Pell, Kasey Bowden, Anna Metzger, Jamie Nordhagen, Amanda Anthony, John Rice, Marisha Burden

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2021. 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
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Predicting drug overdose and death after "before medically advised" hospital discharge.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    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 at 3 institutions in 1 country.

Angela Keniston *Anschutz Medical Campus, Division of Hospital Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0003-1399-2881
Lauren McBeth *Anschutz Medical Campus, Division of Hospital Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0003-1446-9291
Jonathan Pell *Anschutz Medical Campus, Division of Hospital Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-0164-5324
Kasey Bowden *Anschutz Medical Campus, Division of Hospital Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0003-3417-1046
Anna Metzger *Colorado School of Public Health, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-5433-8152
Jamie NordhagenUCHealth, Denver, CO, United States.ORCID https://orcid.org/0000-0001-7044-0341
Amanda Anthony *UCHealth, Denver, CO, United States.ORCID https://orcid.org/0000-0002-5825-0200
John Rice *Adult and Child Center for Health Outcomes Research and Delivery Science, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0003-4338-481X
Marisha Burden *Anschutz Medical Campus, Division of Hospital Medicine, University of Colorado, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-8262-3994
University of Colorado Anschutz Medical Campus · USUniversity of Colorado Health · USColorado School of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the face of hospital capacity strain, hospitals have developed multifaceted plans to try to improve patient flow. Many of these initiatives have focused on the timing of discharges and on lowering lengths of stay, and they have met with variable success. We deployed a novel tool in the electronic health record to enhance discharge communication.

objectiveThe aim of this study is to evaluate the effectiveness of a discharge communication tool.

methodsThis was a prospective, single-center, pre-post study. Hospitalist physicians and advanced practice providers (APPs) used the Discharge Today Tool to update patient discharge readiness every morning and at any time the patient status changed throughout the day. Primary outcomes were tool use, time of day the clinician entered the discharge order, time of day the patient left the hospital, and hospital length of stay. We used linear mixed modeling and generalized linear mixed modeling, with team and discharging provider included in all the models to account for patients cared for by the same team and the same provider.

resultsDuring the pilot implementation period from March 5, 2019, to July 31, 2019, a total of 4707 patients were discharged (compared with 4558 patients discharged during the preimplementation period). A total of 352 clinical staff had used the tool, and 84.85% (3994/4707) of the patients during the pilot period had a discharge status assigned at least once. In a survey, most respondents reported that the tool was helpful (32/34, 94% of clinical staff) and either saved time or did not add additional time to their workflow (21/24, 88% of providers, and 34/34, 100% of clinical staff). Although improvements were not observed in either unadjusted or adjusted analyses, after including starting morning census per team as an effect modifier, there was a reduction in the time of day the discharge order was entered into the electronic health record by the discharging physician and in the time of day the patient left the hospital (decrease of 2.9 minutes per additional patient, P=.07, and 3 minutes per additional patient, P=.07, respectively). As an effect modifier, for teams that included an APP, there was a significant reduction in the time of day the patient left the hospital beyond the reduction seen for teams without an APP (decrease of 19.1 minutes per patient, P=.04). Finally, in the adjusted analysis, hospital length of stay decreased by an average of 3.7% (P=.06).

conclusionsThe Discharge Today tool allows for real time documentation and sharing of discharge status. Our results suggest an overall positive response by care team members and that the tool may be useful for improving discharge time and length of stay if a team is staffed with an APP or in higher-census situations.

Indexed as

discharge planninghealth information technologymultidisciplinaryquasi-experimental designteamwork

Identifiers

PMID34747702
PMCPMC8663627
OpenAlexW3166534006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.