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


Journal

Joint Commission journal on quality and patient safety
ISSN: 1938-131X
Titre abrégé: Jt Comm J Qual Patient Saf
Pays: Netherlands
ID NLM: 101238023

Informations de publication

Date de publication:
12 Aug 2023
Historique:
received: 12 01 2023
revised: 05 08 2023
accepted: 09 08 2023
medline: 18 9 2023
pubmed: 18 9 2023
entrez: 17 9 2023
Statut: aheadofprint

Résumé

The 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. Thirteen 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. Of 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. A QI program delivered via Project ECHO Diabetes can facilitate quality improvements in underserved communities.

Sections du résumé

BACKGROUND BACKGROUND
The 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.
METHODS METHODS
Thirteen 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.
RESULTS RESULTS
Of 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.
CONCLUSION CONCLUSIONS
A QI program delivered via Project ECHO Diabetes can facilitate quality improvements in underserved communities.

Identifiants

pubmed: 37718146
pii: S1553-7250(23)00191-5
doi: 10.1016/j.jcjq.2023.08.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Joint Commission. Published by Elsevier Inc. All rights reserved.

Auteurs

Classifications MeSH