Connecting patients, clinicians and researchers to improve patient care

Analysing results from clinical trials and observational studies to improve patient outcomes

Satisfaction

Our products meet the needs for both patients and clinicians.

You’re being looked after really …. I did like the idea that someone would be looking over me
Patient, EDGE
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, CLEANSPACE
The GDm-Health system has helped to transform the way we deliver care for women with diabetes in pregnancy.
RACHEL CROWLEY, FORMER DIABETES SPECIALIST MIDWIFEROYAL BERKSHIRE NHS FOUNDATION TRUST, GDM-HEALTH
Love SEND
ICU REGISTRAR, SEND

98%

98% of GDm-Health app users would recommend the app to their family and friends1

Satisfaction

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=<.001)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

Releasing Time to Care & 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.

BMC Medical Informatics and Decision Making

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

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Journal of Medical Internet Research

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

Read More
NJP Primary Care Respiratory Medicine

Patients’ experience of identifying and managing exacerbations in COPD: a qualitative study

Read More
British Journal of General Practice

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

Read More
Journal of Diabetes Science and Technology

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

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Journal of Medical Internet Research

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

Clinically led, evidence based

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

BMC Medical Informatics and Decision Making

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

Read More
Journal of Medical Internet Research

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

Read More
NJP Primary Care Respiratory Medicine

Patients’ experience of identifying and managing exacerbations in COPD: a qualitative study

Read More
British Journal of General Practice

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

Read More
Journal of Diabetes Science and Technology

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

Read More
Journal of Medical Internet Research

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
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.

Oxford Office

Big Data Institute
Old Road Campus
Headington
Oxford, OX3 7LF

Big Data Institute, Old Road Campus, Headington, Oxford, OX3 7LF

+44 (0) 3300 581845

Send us a message

For press enquiries, please contact press@sensynehealth.com

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