Publication date: Feb 11, 2025

To conduct a cost-utility analysis of an implementation package that has been developed aiming to embed the referral of people with type 2 diabetes mellitus (T2DM) to structured self-management education (SSME) from primary care into routine practice compared with usual care. Model-based cost-effectiveness analysis using the School for Public Health Research type 2 diabetes treatment model. With costs and effectiveness parameters coming from analyses of data from a cluster randomised control trial. English National Health Service. People with T2DM from 64 GP practices in England. Embedding SSME implementation package Usual care. The primary outcome measure was the incremental cost-effectiveness ratio. Secondary outcome measures included the probability of Embedding implementation package being cost-effective and value of information. The estimated cost of the intervention was lb40 316 across the study sites, which equates to lb0. 521 per patient across all practices. For the base case, the estimated mean discounted incremental lifetime cost of the intervention per patient is lb48. 19. This is associated with a mean per patient incremental quality-adjusted life-year (QALY) estimate of 0. 006, producing an incremental cost-effectiveness ratio of lb8311 per QALY gained. This has a 73. 1% probability of the intervention being cost-effective at a funding threshold of lb20 000 per QALY gained. Scenario analyses indicate that alternative parameterisations can lead to this finding being overturned. The effectiveness of the Embedding packages was hampered by the COVID-19 pandemic. However, our base case analysis shows that Embedding could be cost-effective for this patient population, but this was subject to significant structural uncertainty. This suggests that while implementation initiatives can be highly cost-effective in this population, more robust evidence or further incentivisation will be required before widespread adoption can be recommended. ISRCTN23474120, registered 05/04/2018.

Open Access PDF

Semantics

Original Article