The Impact of Web-Based Continuing Medical Education Using Patient Simulation on Real-World Treatment Selection in Type 2 Diabetes: Retrospective Case-Control Analysis.
JMIR Med Educ
; 9: e48586, 2023 Aug 29.
Article
em En
| MEDLINE
| ID: mdl-37642994
BACKGROUND: Despite guidelines recommending the use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in certain patients with type 2 diabetes (T2D), they are not being prescribed for many of these patients. Web-based continuing medical education (CME) patient simulations have been used to identify clinicians' practice gaps and improve clinical decision-making as measured within a simulation, but the impact of this format on real-world treatment has not been researched. OBJECTIVE: This study aimed to evaluate the effect of a simulation-based CME intervention on real-world use of GLP-1 RAs by endocrinologists and primary care physicians. METHODS: Two evaluation phases of the CME simulation were conducted: phase I, the CME simulation phase, was a paired, pre-post study of 435 physician learners in the United States; and phase II, the real-world phase, was a retrospective, matched case-control study of 157 of the 435 physicians who had claims data available for the study period. RESULTS: Phase I CME results showed a 29 percentage point increase in correct decisions from pre- to postfeedback (178/435, 40.9% to 304/435, 69.9%; P<.001) in selecting treatment that addresses both glycemic control and cardiovascular event protection. Phase II results showed that 39 of 157 (24.8%) physicians in the intervention group increased use of GLP-1 RAs, compared to 20 of 157 (12.7%) in the comparison group. Being in the intervention group predicted GLP-1 RA use after education (odds ratio 4.49; 95% CI 1.45-13.97; P=.001). CONCLUSIONS: A web-based CME simulation focused on secondary prevention of cardiovascular events in a patient with T2D was associated with increased use of evidence-based treatment selection in the real world.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
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2_ODS3
Base de dados:
MEDLINE
Tipo de estudo:
Guideline
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
JMIR Med Educ
Ano de publicação:
2023
Tipo de documento:
Article