Abstract

Background: Self-monitoring of blood glucose helps diabetic patients adjust their management strategies proactively, thus avoiding complications which place a burden on healthcare resources. It is hypothesised that some blood glucose meter attributes may influence patients’ choice. Objective: The aim of this study is to elicit diabetic patients’ preferences for attributes associated with blood glucose meters. Methods: A cross-sectional, web-based survey of UK patients with Type 1 and type 2 diabetes was conducted and preferences for attributes associated with blood glucose meters were estimated using a discrete choice experiment (DCE) framework. Results: Type 1 respondents considered ‘time to test’ to be the most critical factor and were willing to trade a compact device (2.61 units), or convenience (1.37 units) for a device that could produce test results in under 30 seconds. Type 2 respondents preferred the low maintenance attribute and were most willing to trade a compact device (2.72 units) or convenience (1.37 units) for this attribute. Conclusions: The DCE has elicited preference weightings for five key glucose meter attributes for both Type 1 and Type 2 diabetic patients. Devices that provide value added features such as offline storage of data and additional data analysis will be valued by both Type 1 and Type 2 patients whereas a compact device is less valued.

Highlights

  • Devices that provide value added features such as offline storage of data and additional data analysis will be valued by both Type 1 and Type 2 patients whereas a compact device is less valued

  • Diabetes mellitus is a disease characterised by a chronic abnormal blood glucose level caused by the failure of the pancreatic insulin secretion or tissues’ resistance to insulin action

  • It is hypothesised that some glucose meter attributes may influence patients’ choice, and their willingness to adhere to a self-monitoring of blood glucose regimen

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Summary

Results

There were 447 responses to the survey and after removing nonqualifying responders there were 406 (90.83%) responses available for the DCE analysis (3 opted-out, 3 under 18s, 24 do not use glucose meters, 8 failed DCE screening question, 3 non-traders). Significant differences (p

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