Evidence map›Paper›PMID 32833937›Full record

ArticleMedical care2020

Electronic Measurement of a Clinical Quality Measure for Inpatient Hypoglycemic Events: A Multicenter Validation Study.

Carlos A Q Santos, Craig Conover, Nadine Shehab, Andrew I Geller, Yannis S Guerra, Holly Kramer, Nicole M Kosacz, Huiyuan Zhang, Daniel S Budnitz, William E Trick

Open access · greenAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Medical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Hypoglycemia.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Review
  2. Review
  3. Article
  4. Glucometrics: Where Are We Now?Current diabetes reports · 2023
    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

10 authors at 4 institutions in 1 country.

Carlos A Q SantosRush University Medical Center.
Craig ConoverMedical Research Analytics and Informatics Alliance, Chicago, IL.
Nadine ShehabCenters for Disease Control and Prevention, Atlanta, GA.
Andrew I GellerCenters for Disease Control and Prevention, Atlanta, GA.
Yannis S GuerraCook County Health and Hospitals System, Chicago, IL.
Holly KramerLoyola University Chicago, Maywood, IL.
Nicole M KosaczMedical Research Analytics and Informatics Alliance, Chicago, IL.
Huiyuan ZhangCook County Health and Hospitals System, Chicago, IL.
Daniel S BudnitzCenters for Disease Control and Prevention, Atlanta, GA.
William E TrickCook County Health and Hospitals System, Chicago, IL.
Centers for Disease Control and Prevention · USCook County Health and Hospitals System · USLoyola University Chicago · USRush University Medical Center · US

Funding

CDC HHS HHSD200201796208C
6 · The paper itself

Abstract

backgroundHypoglycemia related to antidiabetic drugs (ADDs) is important iatrogenic harm in hospitalized patients. Electronic identification of ADD-related hypoglycemia may be an efficient, reliable method to inform quality improvement.

objectiveDevelop electronic queries of electronic health records for facility-wide and unit-specific inpatient hypoglycemia event rates and validate query findings with manual chart review.

methodsElectronic queries were created to associate blood glucose (BG) values with ADD administration and inpatient location in 3 tertiary care hospitals with Patient-Centered Outcomes Research Network (PCORnet) databases. Queries were based on National Quality Forum criteria with hypoglycemia thresholds <40 and <54 mg/dL, and validated using a stratified random sample of 321 BG events. Sensitivity and specificity were calculated with manual chart review as the reference standard.

resultsThe sensitivity and specificity of queries for hypoglycemia events were 97.3% [95% confidence interval (CI), 90.5%-99.7%] and 100.0% (95% CI, 92.6%-100.0%), respectively for BG <40 mg/dL, and 97.7% (95% CI, 93.3%-99.5%) and 100.0% (95% CI, 95.3%-100.0%), respectively for <54 mg/dL. The sensitivity and specificity of the query for identifying ADD days were 91.8% (95% CI, 89.2%-94.0%) and 99.0% (95% CI, 97.5%-99.7%). Of 48 events missed by the queries, 37 (77.1%) were due to incomplete identification of insulin administered by infusion. Facility-wide hypoglycemia rates were 0.4%-0.8% (BG <40 mg/dL) and 1.9%-3.0% (BG <54 mg/dL); rates varied by patient care unit.

conclusionsElectronic queries can accurately identify inpatient hypoglycemia. Implementation in non-PCORnet-participating facilities should be assessed, with particular attention to patient location and insulin infusions.

Indexed as

Electronic Health RecordsAdultAgedHumansHypoglycemiaHypoglycemic AgentsInpatientsInsulinMaleMiddle AgedQuality Indicators, Health CareTertiary Care CentersHypoglycemic AgentsInsulin

Identifiers

PMID32833937
PMCPMC7492368
OpenAlexW3081442721

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.