Diabetes registries have grown in prevalence and incorporated patient engagement opportunities to support diabetes management. We aimed to understand the goals, purpose, and context for diabetes registries defined as patient-focused and how people with diabetes are engaging with these registries. We searched Pubmed, MEDLINE, Embase, and Emcare using the following criteria: (1) the population is people with diabetes mellitus, including type 1, type 2, and/or gestational diabetes; and (2) the study describes a patient focused registry. The search identified 346 citations, 9 of which were included. The goals of the registries included: developing referral systems, evaluating community-based interventions, collecting self-reported data, improving access to care, and fostering diabetes communities. The delivery settings were community-based, outpatient, or primary care. The methods of delivery and level of patient engagement varied between registries. This scoping review identified 9 diabetes registries, with varying goals, purposes and levels of patient engagement. It highlights a need for registries centered on people with diabetes to promote engagement and facilitate long-term diabetes self-management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748152PMC
http://dx.doi.org/10.1177/23743735251314620DOI Listing

Publication Analysis

Top Keywords

diabetes registries
12
patient engagement
12
people diabetes
12
diabetes
11
registries
8
scoping review
8
understanding patient
4
patient registries
4
registries diabetes
4
diabetes scoping
4

Similar Publications

Background: The combined index (HALP) of hemoglobin, albumin, lymphocytes, and platelets is considered a novel scoring system that reflects systemic inflammation and nutritional status. This study aimed to investigate the relationship between HALP scores and poor outcomes in acute ischemic stroke (AIS) patients with type 2 diabetes mellitus (DM).

Methods: Patients with AIS and type 2 DM were screened from the Third China National Stroke Registry (CNSR-III) and divided into quartiles based on their HALP scores at admission.

View Article and Find Full Text PDF

Background: In May 2020, the US Food and Drug Administration (FDA) asked 5 pharmaceutical companies to voluntarily recall some formulations of metformin due to contamination. This observational study sought to provide insight changes in hemoglobin A (HbA) levels when veterans switched to alternative antihyperglycemic agents following the recall.

Methods: This study included veterans aged ≥ 18 years with type 2 diabetes who were receiving health care from Veterans Integrated Service Network 6 and had an active metformin sustained-action (SA) prescription as of June 1, 2020.

View Article and Find Full Text PDF

Background: In 2011, the Veterans Health Administration (VHA) undertook multidisciplinary efforts to improve care for patients with nonhealing foot ulcers and reduce leg amputation rates. This article examines the impact of interdisciplinary care for amputation prevention in the VHA.

Methods: The VHA patient population was characterized using internal registries.

View Article and Find Full Text PDF

Diabetes registries have grown in prevalence and incorporated patient engagement opportunities to support diabetes management. We aimed to understand the goals, purpose, and context for diabetes registries defined as patient-focused and how people with diabetes are engaging with these registries. We searched Pubmed, MEDLINE, Embase, and Emcare using the following criteria: (1) the population is people with diabetes mellitus, including type 1, type 2, and/or gestational diabetes; and (2) the study describes a patient focused registry.

View Article and Find Full Text PDF

Background: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricuspid annular plane systolic excursion. Recently, a deep learning model has been proposed that accurately predicts RV ejection fraction (RVEF) from 2-dimensional echocardiographic videos, with similar diagnostic accuracy as 3-dimensional imaging. This study aimed to evaluate the prognostic value of the deep learning-predicted RVEF values in patients with severe MR undergoing TEER.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!