A Framework for Integrating Continuous Glucose Monitor-Derived Metrics into Economic Evaluations in Type 1 Diabetes.
Ágnes BenedictEmily R HankoskyKinga MarczellJieling ChenDavid J KleinJ Jaime CaroJay P BaeBrian D BenneyworthPublished in: PharmacoEconomics (2022)
Economic models in type 1 diabetes have relied on a change in haemoglobin A1c as the link between the blood glucose trajectory and long-term clinical outcomes, including microvascular and macrovascular disease. The landscape has changed in the past decade with the availability of regulatory approved, accurate and convenient continuous glucose monitoring devices and their ability to track patients' glucose levels over time. The data emerging from continuous glucose monitoring have enriched the clinical understanding of the disease and indirectly of patients' behaviour. This has triggered the development of new measures proposed to better define the quality of glycaemic control, beyond haemoglobin A1c. The objective of this paper is to review recent developments in clinical knowledge brought into focus with the application of continuous glucose monitoring devices, and to discuss potential approaches to incorporate the concepts into economic models in type 1 diabetes. Based on a targeted review and a series of multidisciplinary workshops, an influence diagram was developed that captures newer concepts (e.g. continuous glucose monitoring metrics) that can be integrated into economic models and illustrates their association with more established concepts. How the additional continuous glucose monitoring-based indicators of glycaemic control may contribute to economic modelling beyond haemoglobin A1c, and more accurately reflect the economic value of novel type 1 diabetes treatments, is discussed.
Keyphrases
- type diabetes
- blood glucose
- glycemic control
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- healthcare
- insulin resistance
- adipose tissue
- quality improvement
- patient reported outcomes
- risk assessment
- climate change
- machine learning
- high resolution
- drug delivery
- electronic health record
- skeletal muscle
- mass spectrometry
- weight loss
- cancer therapy