Our Work

When it comes to patient-reported outcome measures, getting better or worse is really the bottom line for a disease that sadly tends to get worse over time.

dQ&A data show that users' perceptions of an algorithm's aggressiveness strongly impact satisfaction and NPS.

About 10% of Americans have Type 2 diabetes (T2), often along with obesity and heart disease.

Despite clear evidence that hormonal fluctuations during menstruation impact blood glucose, these effects are often overlooked in diabetes care.

dQ&A presented three research abstracts at the 85th Scientific Sessions of the American Diabetes Association (ADA), the world’s largest diabetes conference.

dQ&A is announcing the availability of new data collected this quarter from ten thousand people with diabetes in the USA, Canada and seven EU countries.

dQ&A moderators have the skills and expertise to extract top-quality, real-time, valuable insights directly from people living with diabetes and health care providers.

Drivers Analysis is a sophisticated statistical technique that delivers penetrating, next-level insights by disentangling the underlying causes of specific outcomes – so you learn not only ’what’ but ‘why’.