Real-World Evidence and Randomised Controlled Trials

The research team at my mhealth have been working hard to ensure the support it provides to evidence based, and guaranteed to see results. The team has undertaken a number of clinical trials and real-world studies to ensure the platform is effect the NHS iive and able to support health services and patients.

Explore our peer-reviewed studies and real-world evidence to understand the effectiveness of my mhealth digital therapeutics.

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events MMH-R08

13 May 2024

Exacerbation predictive modelling using real-world data from the myCOPD app

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events External Studies

5th October 2023

Effectiveness of physical activity outcomes using a web-based Cardiac Rehabilitation application.

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events External Studies

5th October 2023

Effectiveness of psychological outcomes using a web-based Cardiac Rehabilitation application

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events Research MMH-R07

12 March 2024

Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance.

Published on Nature 12 March 2024

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events Research MMH-R06

24th October 2023

Exploring the Validity of GOLD 2023 Guidelines: Should GOLD C and D Be Combined?

Published on Pub Med 24th October 2023.

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events Evaluation MMH-E09

22 May 2023

Observing Digital Cardiac Rehabilitation using myHeart During the First Wave of COVID-19: A Real-World Multicentre Evaluation.

Published on Omicsonline 15 May 2022.

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events External Studies

2 March 2022

Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research.

Published on NCBI 2 March 2022.

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events Evaluation MMH-E08

11 March 2023

Can digital health apps provide patients with support to promote structured diabetes education and ongoing self-management?

A real-world evaluation of myDiabetes usage.

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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events Research MMH-E07

21 March 2022

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine
Learning Approach

Results from the my mhealth and University of Southampton collaborative grant project through Big Medilytics have been published in JMIR Medication Informatics.

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SBRI_Grant

7 March 2022

Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management

Mobile health applications (MHA) have been found to be a promising technological approach to support self-management.

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Dr. David Pettigrew, Chief Executive Officer, my mhealth Evidence MMH-E06

01 Nov, 2021

myCOPD: Can a digital self-management platform with a data repository support the Dorset COPD patient population and service delivery? (ID 318)

‘Our Digital Dorset’ and ‘my mhealth’ conducted a study exploring the usage of myCOPD by tracking activity using the Dorset Intelligence and Insight Service (DiiS).

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Trial of a self-management intervention using a scalable app. Research MMH-R03

26 Oct, 2020

Evidence generation for the clinical impact of myCOPD in patients with mild, moderate and newly diagnosed COPD: a randomised
controlled trial

First publication of complete results for a preliminary trial of a self-management intervention using a scalable app.

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A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD Research MMH-R02

20 Oct, 2020

A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD

First publication of complete results shows the myCOPD app could play an important role in supporting recovery following an exacerbation of COPD.

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Evaluation of diabetes self-management mobile health applications Research MMH-R01

17 July, 2017

Online versus face-to-face pulmonary rehabilitation for patients with COPD: randomised
controlled trial

First publication of complete results shows a 6-week programme of online supported pulmonary rehabilitation (PR).

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A real-world service evaluation of myHeart Evaluation MMH-E01

18 Nov, 2020

A real-world service evaluation of myHeart

Results of a service evaluation of myHeart and the potential benefit of using the myHeart app to supplement existing cardiac rehabilitation.

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A real-world multi-centre service evaluation of myDiabetes Evaluation MMH-E02

18 Nov, 2020

A real-world multi-centre service evaluation of myDiabetes

Results have led to continued QISMET Accreditation for myDiabetes (QIS2015) and have revealed the app could play an important role in supporting structured patient education delivery for type 2 diabetes following initial diagnosis, and as an ongoing resource.

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myCOPD evaluation Evaluation MMH-E03

14 Dec, 2020

Enhanced home-based pulmonary rehabilitation myCOPD evaluation

Results of a service evaluation by Southend University Hospital using myCOPD to support a home-based pulmonary rehabilitation (PR) programme in several different local locations.

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COPD study Evaluation MMH-E05

25 Nov, 2021

A digitally enhanced pulmonary rehabilitation approach for COPD during COVID-19 using myCOPD

March 2020 saw traditional pulmonary rehabilitation (PR) delivery suspended due to COVID-19. Kent Community Health NHS Foundation Trust Pulmonary Rehabilitation (PR) service quickly adapted to deliver remote, digitally supported PR using myCOPD.

Read more on erj.ersjournals.com

Evaluation MMH-E04

14 Dec, 2020

A real-world service evaluation of myCOPD

Results of a supported self-management evaluation of COPD patients by Stonehaven Medical Group and Aberdeenshire Health & Social Care Partnership (NHS Grampian).

Read more about the study.

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