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Satisfaction

Connecting patients, clinicians and researchers to improve patient care.

Analysing results from clinical trials and observational studies to improve patient outcomes. Our products meet the needs of both patients and clinicians.

98%

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
Love SEND
ICU REGISTRAR

Compliance

The design of our products has been led by clinicians, helping to improve patient compliance and medication adherence.

illustration of blood glucose input in mobile phone
Significantly better adherence to blood glucose monitoring

[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

illustration of a pair of lungs
High compliance for COPD monitoring

[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

Measurable Clinical Outcomes

Our products are clinically validated, resulting in measurable patient outcomes.

surgery icon

Significant reduction in caesarean sections

[(27/101, 26.7%) in GDm-Health group versus (47/102, 46.1%) in the control group, P=.005]1

mother and child icon

Reduction in pre-term births

[(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

heart icon

Significantly higher overall health status

[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

Providing time to care and saving costs

Our products help to make clinicians more efficient, allowing them more time to spend with their patients. They also reduce the number of unnecessary clinical visits, driving costs down for healthcare providers.

£230

40%

50%

30%

Saving per patient using GDm-Health3

Reduction in the number of visits to see practice nurses for COPD patients using the EDGE-COPD app2

Reduction in time spent on clerical and administrative tasks when using GDm-Health3

Reduction in the time to take a set of vital sign observations when using SEND4

Clinically led, evidence based

Our results are published in peer-reviewed journals and papers.

Journal of the American Medical Informatics Association

A ward-based time study of paper and electronic documentation for recording vital sign observations

Farmer et al, Journal of Medical Internet Research (2017)

Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

JMIR Publications: mHealth and uHealth

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

Williams V. et al, (2014), npj Primary Care Respiratory Medicine, 24

Patient's experience of identifying and managing exacerbations in COPD: A qualitative study

Read more
BMC Medical Informatics and Decision Making

SEND: a system for electronic notification and documentation of vital sign observations

Read more
Williams V. et al, (2014), British Journal of General Practice, 64

Using a mobile health application to support self-management in COPD: A qualitative study

Read more

Clinically led, evidence based

Our results are published in peer-reviewed journals and papers.

Journal of the American Medical Informatics Association

A ward-based time study of paper and electronic documentation for recording vital sign observations

Farmer et al, Journal of Medical Internet Research (2017)

Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Read more
JMIR Publications: mHealth and uHealth

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

Read more
Williams V. et al, (2014), npj Primary Care Respiratory Medicine, 24

Patient's experience of identifying and managing exacerbations in COPD: A qualitative study

Read more
BMC Medical Informatics and Decision Making

SEND: a system for electronic notification and documentation of vital sign observations

Read more
Williams V. et al, (2014), British Journal of General Practice, 64

Using a mobile health application to support self-management in COPD: A qualitative study

Read more

References

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.