Cited by 73Gestational Diabetes Research and ManagementPatient Safety and Medication ErrorsClinical Laboratory Practices and Quality Control

A system-based intervention to improve postpartum diabetes screening among women with gestational diabetes

Vesco, Kimberly K., Dietz, Patricia M., Bulkley, Joanna, Bruce, F. Carol, Callaghan, William M., England, Lucinda, Kimes, Terry, Bachman, Donald J. +2 more·2012·American Journal of Obstetrics and Gynecology

Abstract

Objective We sought to determine whether our process improvement program led to increased postpartum diabetes screening rates among women with gestational diabetes mellitus (GDM).Study design In early 2009, we conducted obstetrics department staff education sessions, revised GDM patient care protocols, and developed an electronic system to trigger reminder calls to patients who had not completed diabetes mellitus screening by 3 months postpartum. We then evaluated the rates of postpartum glucose test order entry and completion for women with GDM delivering from July 2009 through June 2010 (n = 179) and July 2007 through June 2008 (n = 200).Results After the program's implementation, the proportion of women receiving an order for a postpartum glucose test within 3 months of delivery increased from 77.5-88.8% (P = .004), and test completion increased from 59.5-71.5% (hazard ratio, 1.37; 95% confidence interval, 1.07-1.75).Conclusion Rates of postpartum diabetes testing can be improved with system changes and reminders.

Integrity signals

Registry

Crossref · 10.1016/j.ajog.2012.08.017

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Remote monitoring and telemedicine-based approaches greatly improve care access for women with newborns.

    “studies show that remote monitoring and telemedicine-based approaches greatly improve care access for women with newborns [116-118].”

    From Wearables and the Medical Revolution (2018) · cites this paper as [117]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Vesco, K. K., Dietz, P. M., Bulkley, J., Bruce, F. C., Callaghan, W. M., England, L., Kimes, T., Bachman, D. J., Hartinger, K. J., & Hornbrook, M. C.
Affiliations
  • Kaiser Permanente (US)
  • Centers for Disease Control and Prevention (US)
Corresponding author
Vesco, Kimberly K.
Venue
American Journal of Obstetrics and Gynecology
Publisher
Elsevier BV
Published
2012-10
Volume
207
Issue
4
Pages
283.e1-283.e6
ISSN
0002-9378 (ISSN-L)
OpenAlex
W2034526195
Cited by
73
References
4
Citations by year
2026: 4 · 2025: 1 · 2024: 8 · 2023: 5 · 2022: 6 · 2021: 8 · 2020: 6 · 2019: 2 · 2018: 4 · 2017: 5 · 2016: 3 · 2015: 8 · 2014: 10 · 2013: 3
FWCI
8.07
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Obstetrics and Gynecology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
gestational diabetes mellitus, postpartum diabetes screening, process improvement, patient care protocols, employee training, quality improvement, screening rates
MeSH terms
Adult, Diabetes Mellitus, Type 2, Female, Glucose Tolerance Test, Humans, Pregnancy, Diabetes, Gestational, Postpartum Period

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review