Electronic Health Record Alert With Heart Failure Risk and Sodium Glucose Cotransporter 2 Inhibitor Prescriptions in Diabetes: A Randomized Clinical Trial.

SGLT2i clinical trial diabetes implementation science

Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
10 Sep 2024
Historique:
medline: 10 9 2024
pubmed: 10 9 2024
entrez: 10 9 2024
Statut: aheadofprint

Résumé

Sodium glucose cotransporter 2 inhibitors (SGLT2i) prevent heart failure (HF) in patients with type 2 diabetes mellitus (T2DM) but prescription rates are low. The effect of an electronic health record (EHR) alert notifying providers of patients' estimated risk of developing HF on SGTL2i prescriptions is unknown. This was a pragmatic, randomized clinical trial that compared an EHR alert and usual care among patients with T2DM and no history of HF or SGLT2i use at a single center. The EHR alert notified providers of their patient's HF risk and recommended HF prevention strategies. Randomization was performed at the provider level across general and subspecialty internal medicine as well as family medicine outpatient clinics. The primary outcome was proportion of SGLT2i prescriptions within 30 days. Proportion of natriuretic peptide (NP) tests within 90 days was also assessed. A total of 1524 patients (median age 75 years, 45% women, 23% Black) were enrolled between September 28, 2021, and April 29, 2022 from 189 outpatient clinics. SGLT2i were prescribed to 1.2% (9/780) of patients in the EHR alert group and 0% (0/744) of those in the usual care group ( In a single-center trial with low overall SGLT2i use, an EHR alert incorporating HF risk information significantly increased SGLT2i prescriptions and NP testing although the absolute rates were low.

Sections du résumé

BACKGROUND UNASSIGNED
Sodium glucose cotransporter 2 inhibitors (SGLT2i) prevent heart failure (HF) in patients with type 2 diabetes mellitus (T2DM) but prescription rates are low. The effect of an electronic health record (EHR) alert notifying providers of patients' estimated risk of developing HF on SGTL2i prescriptions is unknown.
METHODS UNASSIGNED
This was a pragmatic, randomized clinical trial that compared an EHR alert and usual care among patients with T2DM and no history of HF or SGLT2i use at a single center. The EHR alert notified providers of their patient's HF risk and recommended HF prevention strategies. Randomization was performed at the provider level across general and subspecialty internal medicine as well as family medicine outpatient clinics. The primary outcome was proportion of SGLT2i prescriptions within 30 days. Proportion of natriuretic peptide (NP) tests within 90 days was also assessed.
RESULTS UNASSIGNED
A total of 1524 patients (median age 75 years, 45% women, 23% Black) were enrolled between September 28, 2021, and April 29, 2022 from 189 outpatient clinics. SGLT2i were prescribed to 1.2% (9/780) of patients in the EHR alert group and 0% (0/744) of those in the usual care group (
CONCLUSIONS UNASSIGNED
In a single-center trial with low overall SGLT2i use, an EHR alert incorporating HF risk information significantly increased SGLT2i prescriptions and NP testing although the absolute rates were low.

Identifiants

pubmed: 39254082
doi: 10.1177/19322968241264747
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19322968241264747

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article:

Auteurs

Matthew W Segar (MW)

Department of Cardiology, The Texas Heart Institute, Houston, TX, USA.

Kershaw V Patel (KV)

Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.

Neil Keshvani (N)

Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Vaishnavi Kannan (V)

Department of Health System Information Resources (Clinical Informatics), The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Duwayne Willett (D)

Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

David C Klonoff (DC)

Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.

Ambarish Pandey (A)

Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Classifications MeSH