[(27/101, 26.7%) in GDm-Health group versus (47/102, 46.1%) in the control group, P=.005]1
[(5/101, 5.0%) in GDm-Health group versus (13/102, 12.7%; OR 0.36, 95% CI 0.12-1.01) in the control group]1
[5-level EuroQol 5-dimension questionnaire, mean score increased in the EDGE-COPD group by 0.01 and decreased in the standard care arm by 0.08, P=.003]2
Users of GDm-HealthTM app would recommend the app to their family and friends1
You’re being looked after really …. I did like the idea that someone would be looking over me
Patient, using the edge-COPDTM app
I can look at the pollution readings and avoid polluted areas, preventing the onset of any respiratory symptoms and potentially avoiding a COPD attack. Knowledge is power!
Derek, a COPD Sufferer using CleanSpaceTM app
The GDm-Health system has helped to transform the way we deliver care for women with diabetes in pregnancy.
RACHEL CROWLEY, FORMER DIABETES SPECIALIST MIDWIFE, ROYAL BERKSHIRE NHS FOUNDATION TRUST
[mean 3.80 readings per day, (SD 1.80) in the GDm-Health group and mean 2.63 readings per day, (SD 1.71) in the control group (P=1)
[EDGE-COPD patients submitted symptoms and oxygen saturations 5.9 days per week and completed their diaries within 2 hours of their chosen time.]2
1. Mackillop, L., Hirst, J.E., Bartlett, K.J., Birks, J.S., Clifton, L., Farmer, A.J., Gibson, O., Kenworthy, Y., Levy, J.C., Loerup, L. and Rivero-Arias, O., 2018. Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth, 6(3), p.e71.
2. Farmer, A., Williams, V., Velardo, C., Shah, S.A., Yu, L.M., Rutter, H., Jones, L., Williams, N., Heneghan, C., Price, J. and Hardinge, M., 2017. Self-Management support using a digital health system compared with usual care for chronic obstructive pulmonary disease: randomized controlled trial. Journal of medical Internet research, 19(5).
3. National Institute for Clinical Excellence (2017) Health app: GDm-Health for people with gestational diabetes. Medtech innovation briefing (MIB131).
4. Wong, D., Bonnici, T., Knight, J., Gerry, S., Turton, J. and Watkinson, P., 2017. A ward-based time study of paper and electronic documentation for recording vital sign observations. Journal of the American Medical Informatics Association, 24(4), pp.717-721.