Team of researchers from the Department of Women & Children’s Health, King’s College London have designed an advanced mobile phone app in order to help identify women who require special treatments at the right time and thus help to eliminate emotional and financial burden on families and the NHS.
The user-friendly mobile app, QUiPP v2 will help doctors to calculate a woman’s individual risk of preterm birth. Through the app they will be able to predict the urgency for special treatments and to receive them at the right time. This will further also reassure women when their risk is low.
The team reveals that the app can calculate the risk based on woman’s individual risk factors. These include late miscarriage or symptoms, preterm birth, in addition to clinical test results which further helps to predict preterm birth. The app has reportedly helped to produce a simple individual % risk score.
The study published in two papers Ultrasound in Obstetrics and Gynecology, highlight the way the complicated algorithms have been tested and developed by the team, which are then incorporated in the app and calculate the simple % risk.
Sources further suggest the team has completed the EQUIPTT trial and have evaluated the possibility of whether the QUiPP is useful in targeting of care. It is alleged that the results of the trials will be published later this year.
In wake of the latest discovery, Patient Safety Minister, Nadine Dorries commented, “The joy a newborn brings can be cruelly contrasted alongside the fear when a baby is born too soon. Being able to identify mothers at risk of a pre-term birth as early as possible can help clinicians to intervene sooner, improve safety and ultimately save lives.
“We want the NHS to be the safest place in the world to give birth and the harnessing of promising digital innovations such as this is another stepping stone on this shared journey.”