Evidence map›Paper›PMID 35881437›Full record

ArticleJMIR diabetes2022

Effectiveness of a Diabetes-Focused Electronic Discharge Order Set and Postdischarge Nursing Support Among Poorly Controlled Hospitalized Patients: Randomized Controlled Trial.

Audrey White, David Bradley, Elizabeth Buschur, Cara Harris, Jacob LaFleur, Michael Pennell, Adam Soliman, Kathleen Wyne, Kathleen Dungan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03455985 (Effectiveness of a Diabetes Focused Discharge Order Set Among Poorly Controlled Hospitalized Patients Transitioning to Glargine U300 Insulin), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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.

NCT03455985 naterminatednot on this map

Effectiveness of a Diabetes Focused Discharge Order Set Among Poorly Controlled Hospitalized Patients Transitioning to Glargine U300 Insulin

TypeinterventionalSponsorOhio State UniversityRan2018 to 2020Enrolled158ConditionsDiabetes Mellitus, Type 2, Patient Discharge, Blood Glucose, Low, Blood Glucose, HighArmsDischarge Order Set (DOS), Enhanced Standard Care (ESC)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Audrey WhiteInternal Medicine, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-6754-8121
David BradleyDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-5777-5195
Elizabeth BuschurDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-6818-8925
Cara HarrisDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-6148-7719
Jacob LaFleurCollege of Medicine, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-9049-2595
Michael PennellDivision of Biostatistics, Department of Biostatistics, The Ohio State University College of Public Health, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-2602-3126
Adam SolimanCollege of Medicine, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-0142-1328
Kathleen WyneDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-4118-8727
Kathleen DunganDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0003-1289-1595
The Ohio State University · USCancer Research And Biostatistics · USUniversity of Virginia · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
NCATS NIH HHS UL1 TR001070NIDDK NIH HHS P30 DK020572
6 · The paper itself

Abstract

backgroundAlthough the use of electronic order sets has become standard practice for inpatient diabetes management, there is limited decision support at discharge.

objectiveIn this study, we assessed whether an electronic discharge order set (DOS) plus nurse follow-up calls improve discharge orders and postdischarge outcomes among hospitalized patients with type 2 diabetes mellitus.

methodsThis was a randomized, open-label, single center study that compared an electronic DOS and nurse phone calls to enhanced standard care (ESC) in hospitalized insulin-requiring patients with type 2 diabetes mellitus. The primary outcome was change in glycated hemoglobin (HbA

resultsThis study was stopped early because of feasibility concerns related to the long-term follow-up. However, 158 participants were enrolled (DOS: n=82; ESC: n=76), of whom 155 had discharge data. The DOS group had a greater frequency of prescriptions for bolus insulin (78% vs 44%; P=.01), needles or syringes (95% vs 63%; P=.03), and glucometers (86% vs 36%; P<.001). The clarity of the orders was similar. HbA

conclusionsAn intervention that included a DOS plus a postdischarge nurse phone call resulted in more complete discharge prescriptions. The assessment of postdischarge outcomes was limited, owing to the loss of the long-term follow-up, but it suggested a possible benefit in glucose control.

trial registrationClinicalTrials.gov NCT03455985; https://clinicaltrials.gov/ct2/show/NCT03455985.

Indexed as

dischargeorder settype 2 diabetes

Identifiers

PMID35881437
PMCPMC9364166
OpenAlexW4285367533

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.