Evidence map›Paper›PMID 29575924›Full record

ArticleJournal of diabetes science and technology2018

What Can We Learn From Point-of-Care Blood Glucose Values Deleted and Repeated by Nurses?

Dawn Corl, Tom Yin, May Ulibarri, Heather Lien, Tracy Tylee, Jing Chao, Brent E Wisse

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Adverse Event Data for Years 2018 to 2020 for Diabetes Devices.Journal of diabetes science and technology · 2022
    Article
  2. More Focus is Needed to Reduce Adverse Events for Diabetes Devices.Journal of diabetes science and technology · 2022
    Article
  3. Article
  4. Inpatient Hypoglycemia: The Challenge Remains.Journal of diabetes science and technology · 2020
    Review
  5. Getting More Information From Glucose Meter Evaluations.Journal of diabetes science and technology · 2019
    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

7 authors at 2 institutions in 1 country.

Dawn Corl1 Department of Clinical Education, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Tom Yin2 Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.
May Ulibarri2 Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Heather Lien1 Department of Clinical Education, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Tracy Tylee3 Division of Endocrinology, Metabolism and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA.
Jing Chao3 Division of Endocrinology, Metabolism and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA.
Brent E Wisse3 Division of Endocrinology, Metabolism and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA.
University of Washington · USHarborview Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitals rely on point-of-care (POC) blood glucose (BG) values to guide important decisions related to insulin administration and glycemic control. Evaluation of POC BG in hospitalized patients is associated with measurement and operator errors. Based on a previous quality improvement (QI) project we introduced an option for operators to delete and repeat POC BG values suspected as erroneous. The current project evaluated our experience with deleted POC BG values over a 2-year period.

methodA retrospective QI project included all patients hospitalized at two regional academic medical centers in the Pacific Northwest during 2014 and 2015. Laboratory Medicine POC BG data were reviewed to evaluate all inpatient episodes of deleted and repeated POC BG.

resultsInpatient operators choose to delete and repeat only 0.8% of all POC BG tests. Hypoglycemic and extreme hyperglycemic BG values are more likely to be deleted and repeated. Of initial values <40 mg/dL, 58% of deleted values (18% of all values) are errors. Of values >400 mg/dL, 40% of deleted values (5% of all values) are errors. Not all repeated POC BG values are first deleted. Optimal use of the option to delete and repeat POC BG values <40 mg/dL could decrease reported rates of severe hypoglycemia by as much as 40%.

conclusionsThis project demonstrates that operators are frequently able to identify POC BG values that are measurement/operator errors. Eliminating these errors significantly reduces documented rates of severe hypoglycemia and hyperglycemia, and has the potential to improve patient safety.

Indexed as

Data AccuracyPoint-of-Care TestingBlood GlucoseDiabetes MellitusHumansPoint-of-Care SystemsQuality Assurance, Health CareRetrospective StudiesBlood Glucosehyperglycemiahypoglycemianursing educationnursing judgmentpatient safety

Identifiers

PMID29575924
PMCPMC6134629
OpenAlexW2790891708

What OpenQuestion holds

Textmetadata
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.