Quealth Smartphone Risk Predictor Proven to be Highly Accurate for Type 2 Diabetes

ROADTOHEALTH, the UK company behind award-winning health application Quealth, has announced the successful clinical validation of the accuracy of its diabetes health risk assessment algorithm. The validation work on the diabetes risk assessment algorithm is just one element of the exhaustive clinical testing the Quealth team is conducting on all its risk predictors.

Quealth

Quealth gives smartphone owners the chance to assess their risk of developing type 2 diabetes, six forms of cancer, cardiovascular disease, chronic obstructive pulmonary disease (lung disease) and dementia. It is available free via Apple’s App Store, Google Play, the Samsung Galaxy App Store and Lenovo’s newly released App Explorer.

The proprietary algorithms at the heart of the app calculate an individual’s risk of developing these diseases based on answers they give to a series of questions covering areas such as family history, medical history, environment, biometrics and lifestyle. Depending on their ‘Quealth Score’ – a number between 1 and 100 – the app then provides evidence-based content and coaching drawn from the latest behavioural change science to drive lifestyle improvements. Future releases will also incorporate live biometric data from hundreds of different mobile apps and wearable devices.

Quealth’s diabetes, cardiovascular disease and lung disease risk algorithms have been validated so far, and all achieve Area Under Curve (AUC) values – a globally-recognised measure of how accurately they predict clinical outcomes – of between 0.77 and 0.80. These values approach the maximum predictive capability possible for a questionnaire-based assessment and are directly comparable to – and in many cases higher than – other internationally-recognised and respected disease risk prediction algorithms. The remaining algorithms, for dementia and six different forms of cancer, are currently in the process of clinical validation.

The clinical validation is being conducted with Dr Stephen Weng of the University of Nottingham’s Division of Primary Care within the School of Medicine. He is a member of roadtohealth’s Academic Expert Panel, which is led by Quealth Clinical Lead and Head of Clinical Governance Paul Nash.

Paul Nash said: “Our three-dimensional clinical validation programme ensures that Quealth accurately assesses health risk, delivers evidence-based health content and effectively drives positive, sustainable changes in health behaviours. The fact that the first three of our health risk algorithms have been so rigorously tested by top academics and emerged as amongst the most accurate health risk predictors available anywhere, makes us extremely proud. It also makes us even more determined to keep Quealth at the top of its game, helping people all around the world live longer, healther lives.”

In addition to Dr. Weng, the Quealth Academic Expert Panel comprises of clinical specialists Leo Pemberton BSc Hons RD MBDA (Diet and Nutrition), Dr Graham Cope of the University of Birmingham (Smoking), Dr Dale Esligerof the University of Loughborough (Physical Activity and health content) and Dr Jonathan Ward of Breaking Free (Alcohol).

Quealth has been developed on the back of roadtohealth’s 14 years experience of providing risk assessment technology for health information, pharmacies and insurance companies from all around the world. Given the rigorous clinical governance, Quealth is now one of the most highly validated health management apps available today.

 

Source: Quealth