Evidence map›Paper›PMID 37718146›Full record

ArticleJoint Commission journal on quality and patient safety2024

Multisite Quality Improvement Program Within the Project ECHO Diabetes Remote Network.

C Jason Wang, Eugene M Lewit, Catherine L Clark, Fu-Shiuan Whitney Lee, David M Maahs, Michael James Haller, Ananta Addala, Rayhan A Lal, Nicolas Cuttriss, Linda G Baer and 7 more

Open access · greenAbstract read
In one paragraph

Article in Joint Commission journal on quality and patient safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. DEKODE-A cloud-based performance feedback model improved DKA care across multiple hospitals in the UK.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Article
  2. 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

17 authors at 3 institutions in 1 country.

C Jason Wang
Eugene M Lewit
Catherine L Clark
Fu-Shiuan Whitney Lee
David M Maahs
Michael James Haller
Ananta Addala
Rayhan A Lal
Nicolas Cuttriss
Linda G Baer
Lauren E Figg
Claudia Añez-Zabala
Eleni P Sheehan
Sarah C Westen
Angelina V Bernier
William Troy Donahoo
Ashby Farmer Walker
Stanford University · USUniversity of Florida · USAction Network · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Holden T. Maecker · 2017 to 2026
$19.5M
Training Research Leaders in Type 1 DiabetesK12DK122550 · NIDDK · STANFORD UNIVERSITY · PI MAAHS, DAVID MATTHEW · 2019 to 2023
$2.1M
The Optimal Pathway to Implanted Autonomous Insulin DeliveryK23DK122017 · NIDDK · STANFORD UNIVERSITY · PI LAL, RAYHAN · 2020 to 2024
$958k
NIDDK NIH HHS K12 DK122550NIDDK NIH HHS K23 DK122017NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

backgroundThe telementoring Project ECHO (Extension for Community Healthcare Outcomes) model has been shown to improve disease management in diabetes in many underserved communities. The authors aim to evaluate if ECHO could also be an effective tool for quality improvement (QI) of diabetes care in these communities.

methodsThirteen clinics in underserved communities in California and Florida participating in Project ECHO Diabetes were recruited for a 12-month QI program. The program provided weekly tele-education sessions, including a didactic presentation and case-based discussion. In addition, clinics chose their own set of quality measures to improve and met remotely to discuss their efforts, successes, and setbacks every quarter with mentorship from QI experts.

resultsOf the 31 QI initiatives attempted by different clinics, all had either made improvements (25 initiatives, 80.6%) or were in the process of making improvements (6 initiatives, 19.4%) in structural, process, and outcome measures. Examples of these measures include whether clinics have protocols to identify high-risk patients (structure), numbers of continuous glucose monitor prescriptions submitted by the clinics (process), and percentage of patients with diabetes whose most recent HbA1c are > 9% (outcome). For one measure, 40.0% of the clinics had achieved a higher percentage of cumulative HbA1c measurement in the third quarter of the year, compared to the fourth quarter in the previous year. The cost of QI implementation varied widely due to different number of personnel involved across sites.

conclusionA QI program delivered via Project ECHO Diabetes can facilitate quality improvements in underserved communities.

Indexed as

Diabetes MellitusQuality ImprovementBlood GlucoseGlycated HemoglobinHumansBlood GlucoseGlycated Hemoglobin

Identifiers

PMID37718146
PMCPMC12909745
OpenAlexW4385779312

What OpenQuestion 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 OpenQuestion graph.