Evidence map›Paper›PMID 37956601›Full record

ArticleGeriatric nursing (New York, N.Y.)

Development and evaluation of a concise nurse-driven non-pharmacological delirium reduction workflow for hospitalized patients: An interrupted time series study.

James D Harrison, Megan Rathfon, Sasha Binford, Jennifer Miranda, Sandra Oreper, Brian Holt, Stephanie E Rogers

Open access · hybridAbstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). 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
0.9field-weighted citation impact, top 27% 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, 4 citations in OpenAlex.

  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 at 2 institutions in 1 country.

James D HarrisonDivision of Hospital Medicine, University of California San Francisco, San Francisco, CA, USA. Electronic address: james.harrison@ucsf.edu.
Megan RathfonDivision of Geriatrics, University of California San Francisco, San Francisco, CA, USA.
Sasha BinfordCenter for Nursing Excellence and Innovation, University of California San Francisco Medical Center, San Francisco, CA, USA; School of Nursing, University of California San Francisco, San Francisco, CA, USA.
Jennifer MirandaUCSF Health, San Francisco, CA, USA.
Sandra OreperDivision of Hospital Medicine, University of California San Francisco, San Francisco, CA, USA.
Brian HoltContinuous Improvement Department, University of California Medical Center, San Francisco, CA, USA.
Stephanie E RogersDivision of Geriatrics, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of California San Francisco Medical Center · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REBECCA L SUDORE · 2013 to 2026
$19.9M
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Placing patient preferences at the center of care plans for older adults transitioning from the hospital to a skilled nursing facilityK01AG073533 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HARRISON, JAMES DAVID · 2021 to 2025
$660k
NCATS NIH HHS KL2 TR001870NIA NIH HHS K01 AG073533NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

We created a concise nurse-driven delirium reduction workflow with the aim of reducing delirium rates and length of stay for hospitalized adults. Our nurse-driven workflow included five evidence-based daytime "sunrise" interventions (patient room lights on, blinds up, mobilization/out-of-bed, water within patient's reach and patient awake) and five nighttime "turndown" interventions (patient room lights off, blinds down, television off, noise reduction and pre-set bedtime). Interventions were also chosen because fidelity could be quickly monitored twice daily without patient interruption from outside the room. To evaluate the workflow, we used an interrupted time series study design between 06/01/17 and 05/30/22 to determine if the workflow significantly reduced the unit's delirium rate and average length of stay. Our workflow is feasible to implement and monitor and initially significantly reduced delirium rates but not length of stay. However, the reduction in delirium rates were not sustained following the emergence of the COVID-19 pandemic.

Indexed as

DeliriumHumansIntensive Care UnitsInterrupted Time Series AnalysisPandemicsWorkflowDeliriumHospitalsIntervention studiesNursesQuality improvement

Identifiers

PMID37956601
PMCPMC10955602
OpenAlexW4388602099

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.