Evidence map›Paper›PMID 24876450›Full record

ReviewJournal of diabetes science and technology2014

A detailed description of the implementation of inpatient insulin orders with a commercial electronic health record system.

Aaron Neinstein, Heidemarie Windham MacMaster, Mary M Sullivan, Robert Rushakoff

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2014. 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-weighted citation impact, top 6% 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 mapstarted 2018, after this paper: background citation

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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. The health data utility and the resurgence of health information exchanges as a national resource.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  2. Review
  3. Insulin Bolus Calculator: Lessons Learned from Institutional Experience.Journal of diabetes science and technology · 2021
    Article
  4. Hospital Diabetes Meeting 2020.Journal of diabetes science and technology · 2020
    Article
  5. Review
  6. Hypoglycemia Reduction Strategies in the ICU.Current diabetes reports · 2017
    Review
  7. Review
  8. 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

4 authors at 1 institution in 1 country.

Aaron NeinsteinUniversity of California, San Francisco, CA, USA aaron.neinstein@ucsf.edu.
Heidemarie Windham MacMasterUniversity of California, San Francisco, CA, USA.
Mary M SullivanUniversity of California, San Francisco, CA, USA.
Robert RushakoffUniversity of California, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the setting of Meaningful Use laws and professional society guidelines, hospitals are rapidly implementing electronic glycemic management order sets. There are a number of best practices established in the literature for glycemic management protocols and programs. We believe that this is the first published account of the detailed steps to be taken to design, implement, and optimize glycemic management protocols in a commercial computerized provider order entry (CPOE) system. Prior to CPOE implementation, our hospital already had a mature glycemic management program. To transition to CPOE, we underwent the following 4 steps: (1) preparation and requirements gathering, (2) design and build, (3) implementation and dissemination, and (4) optimization. These steps required more than 2 years of coordinated work between physicians, nurses, pharmacists, and programmers. With the move to CPOE, our complex glycemic management order sets were successfully implemented without any significant interruptions in care. With feedback from users, we have continued to refine the order sets, and this remains an ongoing process. Successful implementation of glycemic management protocols in CPOE is dependent on broad stakeholder input and buy-in. When using a commercial CPOE system, there may be limitations of the system, necessitating workarounds. There should be an upfront plan to apply resources for continuous process improvement and optimization after implementation.

Indexed as

Hypoglycemic AgentsInsulinMedical Order Entry SystemsDiabetes MellitusDrug PrescriptionsElectronic Health RecordsHumansInpatientsHypoglycemic AgentsInsulinCPOEdiabetes mellituselectronic health record (EHR)inpatient glycemic managementinsulin

Identifiers

PMID24876450
PMCPMC4764241
OpenAlexW2060569107

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.