Case Study

Improving Type II Diabetes Care: How One Medical Education Provider Identified and Addressed Gaps Using Adaptive Learning

Overview

A major medical education provider was interested in improving the performance of clinicians managing patients with type 2 diabetes (T2D).

50% PARTICIPANTS

initially failed to identify multifactorial causes of weight gain

63% PARTICIPANTS

initially failed to correctly select SGLT2 inhibitors as optimal treatment for diabetes and heart failure

72% PARTICIPANTS

missed identifying yeast infections—a common issue associated with SGLT2 inhibitors

Challenge

Patients with T2D often are seen and treated for other health challenges, such as weight, fatigue or even heart conditions. They see clinicians practicing across a range of specialties, but those providers may have gaps in their knowledge and ability to integrate a multifaceted treatment approach.

The client was interested in providing training that could help identify and bridge those gaps. However, traditional training programs had not historically created the improvement in patient care and outcomes they wanted.

Results

The program revealed that participating clinicians had a foundational understanding of T2D management, but there were significant gaps in their ability to integrate multifaceted treatment approaches and advanced pharmacotherapy options, particularly in managing weight and understanding risks.

The analytics offered by the Pro-ficiency Adaptive Learning platform allowed the client to drill down and determine which type of clinicians needed specific types of training and support. It also allowed them to see the rate of improvement after simulation-driven training had been provided.

As a result of using this tailored platform and training approach, the client was able to improve clinician knowledge about T2D therapeutic approaches, improve competence in implementing pharmacotherapy, and improve understanding of the safety and efficacy of therapies that target T2D and obesity.