Chronic Obstructive Pulmonary Disease (COPD) Clinical Trials

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To Explore the Safety and Clinical Efficacy of a Treatment Realignment Algorithm Using Data From a Digital Self-management Application for Patients With COPD

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Phase 1
SUMMARY

Although COPD cannot be cured, managing COPD can help reduce symptoms control, slows progression of the disease, and may improve the quality of life. Management of COPD becomes less effective when healthcare professionals fail to prescribe appropriate inhaled therapies, due to poor adherence to evidence-based guidelines and underdiagnosis, or when patients fail to adhere to prescribed treatment regimens. my mhealth has developed an app called myCOPD to allow patients to record their COPD symptoms and medications, which in term supports them with their COPD. This app is now used by COPD patients across the UK, via a prescription from their healthcare professionals. my mHealth has now developed a research app MMH-LAB1 which, in the intervention arm, includes an algorithm to assist patients with understanding their level of symptom burden according to the severity of their daily symptoms and exacerbation risk. The algorithm then analyses current patient prescribed inhaled medication against those recommended by the GOLD 2023 report and informs the patient via the MMH-LAB1 app as to whether their medication needs to be changed by their healthcare provider. This trial will explore whether the introduction of the algorithm within the MMH-LAB1 app can be used as a safe, effective and acceptable tool to assist patients to achieve optimal guideline based inhaled therapy and therefore provide greater symptom control and lowered exacerbation risk for COPD patients. Participants will be randomised to the MMH-LAB1 app - control arm (MMH-LAB\_Control\_1 where participants just record COPD symptoms and medications), or to the MMH\_LAB1 app - intervention arm (MMH-LAB1\_Test\_1 where participants record their COPD symptoms and medication plus receiving information from the algorithm, as to whether their medications are in guidance or not, and if not, be notified to visit their healthcare professional.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:

• Adult patients over 18 years of age and able to give informed consent

• A clinical diagnosis of COPD (all patients registered on the app have a confirmed diagnosis of COPD confirmed by their clinician before being prescribed the app).

• A registered and activated user of the myCOPD app

• One or more CAT questionnaire completed on the myCOPD app in the last 12 months

• One or more exacerbation form completed on the myCOPD app in the last 12 months CTU/FORM/5321 - CIP template for Clinical Investigations of Medical Devices, Version 1 14-DEC-2023 mySmartCOPD Clinical Investigation Plan v1 25-FEB-2025 Page 25 of 53

• One or more COPD medication diary completed on the myCOPD app in the last 12 months

• Classified appropriately into 3 groups:

• (A) Few symptoms (CAT \<10, 0 or 1 moderate exacerbations) (B) Many symptoms (CAT ≥10, ≥0 or 1 moderate exacerbations) (C)Exacerbators (≥2 moderate or ≥1 severe exacerbation independent of CAT)

Locations
Other Locations
United Kingdom
University Hospital Southampton
RECRUITING
Southampton
Contact Information
Primary
Trial Manager
mysmartcopd@soton.ac.uk
+44 23 8059 6920
Time Frame
Start Date: 2025-10-08
Estimated Completion Date: 2026-09
Participants
Target number of participants: 746
Treatments
Placebo_comparator: MMH-LAB1 Control This arm is based on the original COPD app the participants already use
Participants for this study are already users of a COPD self management app. This arm is a replica of this app, with additional questionnaires built in
Experimental: MMH-LAB1 Test This arm is based on the original COPD app the participants use plus an algorithm
Participants for this study are already users of a COPD self management app. This arm is a replica of this app, with additional questionnaires built in plus an algorithm which identifies, based on the symptoms and medication reported onto the app by the participant, whether they are on the correct medication or not. If not, the app will generate a notification and inform the participant that they need to approach their healthcare provider and inform them of this and that they need a medication review.
Sponsors
Leads: University of Southampton

This content was sourced from clinicaltrials.gov