QuikRead go® Cuts Delays in Diabetes Diagnosis and Management
)
The global rise in Type 2 diabetes—many cases still undiagnosed—highlights the urgent need for more efficient monitoring strategies. One key tool in this effort is glycated haemoglobin (HbA1c) testing, now considered the gold standard for diagnosing and managing diabetes. Unlike traditional plasma glucose tests, which can be influenced by recent meals, HbA1c reflects average blood sugar levels over the past three months—the typical lifespan of a red blood cell.
Once diagnosed, patients have their HbA1c levels monitored every 3 to 6 months to ensure effective management. However, until recently, this process required at least two separate GP or nurse appointments: one for the blood draw and another for discussing results after laboratory analysis. Not only did this delay diagnosis, but logistical issues like lost or haemolysed samples often meant starting the process over.
Missed appointments—known as “Did Not Attend” (DNA) rates—pose another challenge. In diabetes clinics, cancellation and no-show rates can reach up to 20% (1). This not only strains healthcare resources and affects Quality Outcomes Framework (QOF) performance, but it also correlates with poorer glycaemic control and patient outcomes (2).
Now, point-of-care devices like the QuikRead go are transforming diabetes care. The QuikRead go is being used in the NHS to deliver immediate, lab-accurate HbA1c results from just a single drop of finger-prick blood. With results available during the same appointment, clinicians can discuss findings and take action on the spot.
This streamlined approach to HbA1c testing reduces DNA rates, optimises use of healthcare resources, and improves patient engagement and satisfaction. Especially in high-prevalence areas, faster access to testing and treatment could play a critical role in improving diabetes management and long-term outcomes.
By bridging the gap between testing and treatment, the QuikRead go is not just improving workflows—it’s helping to improve lives. As healthcare systems continue to adapt to growing diabetes rates, tools like these will be essential in delivering smarter, faster, and more patient-centred care.