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Chronic Obstructive Pulmonary DiseaseNCT04240353

RECEIVER: Digital Service Model for Chronic Obstructive Pulmonary Disease (COPD)

An observational study of Chronic Obstructive Pulmonary Disease, run by NHS Greater Glasgow and Clyde at 1 site in United Kingdom.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Chronic obstructive pulmonary disease (COPD) is a serious but treatable chronic health condition. Optimised management improves symptoms, complications, quality of life and survival. Read more about this study

Who is it for?
Ages 18 to 100 years
Conditions the study is for
Chronic Obstructive Pulmonary Disease
What is being tested?
COPD digital support service
How many people
400 participants
Where
1 siteUnited Kingdom
Study dates
1 Aug 2018to 31 Jul 2021
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 100 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Patients with high risk COPD presenting to secondary care with COPD exacerbation or persisting hypercapnic respiratory failure (requiring home NIV)

Who may be able to join

  • confirmed diagnosis of chronic obstructive pulmonary disease, established pre-screening or at screening, defined as per Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2019 guidelines
  • home non-invasive ventilation cohort: hypercapnic respiratory failure and/or sleep-disordered breathing meeting established criteria for provision of home NIV
  • exacerbation cohort: recent presentation to secondary care with exacerbation of COPD, defined as per GOLD 2019 guidelines
  • patient or close-contact has access to smartphone, tablet or daily home computer web-browser
  • informed consent
  • ≥18 years of age

Who cannot join

  • inability to comprehend informed consent
  • communication barrier precluding use of COPD digital service

Trial locations and contacts

1 site in 1 country.

United Kingdom1 site
  • Queen Elizabeth University Hospital

    Glasgow, Scotland, G51 4TF

Other trials in United Kingdom

About this study

Official title: Remote-management of COPD: Evaluating Implementation of Digital Innovations to Enable Routine Care

Chronic obstructive pulmonary disease (COPD) is a serious but treatable chronic health condition. Optimised management improves symptoms, complications, quality of life and survival. Disease exacerbations, which have adverse outcomes and often trigger hospital admissions, underpin the rising costs of managing COPD (projected increase in the United Kingdom (UK) to £2.3bn by 2030). The costs and care-quality gap of COPD exacerbations, coupled with the global rising prevalence present a major healthcare challenge. This study proposal, which has been developed in partnership with patients, clinicians, enterprise and government representation is to conduct an implementation and effectiveness observational cohort study to establish a continuous and preventative digital health service model for COPD.

The implementation proposals comprise: -

Read more
  • Establishing a digital resource for high-risk COPD patients which contains symptom diaries (structured patient reported outcome questionnaires), integrates physiology monitoring (FitBit and home NIV therapy data), enables asynchronous communication with clinical team, supports COPD self-management and tracks interaction with the service (for endpoint analyses).
  • Establishing a cloud-based clinical COPD dashboard which will integrate background electronic health record data, core COPD clinical dataset, patient-reported outcomes, physiology and therapy data and patient messaging to provide clinical decision support and practice-efficiencies, enhancing delivery of guideline-based COPD care.
  • Use the acquired dataset to explore feasibility and accuracy of machine-learned predictive modelling risk scores, via cloud-based infrastructure, which will be for future prospective clinical trial.

Our primary endpoint for the effectiveness evaluation is number of patients screened and recruited who successfully utilise and engage with this RECEIVER clinical service. The implementation components of the project will be iterated during the study, based on patient and clinical user experience and engagement. Secondary endpoints include a number of specified clinical outcomes, clinical service outcomes, machine-learning supported exploratory analyses, patient-centred outcomes and healthcare cost analyses.

Read the detailed description

Patients will be screened from emergency attendance or admission at South and North Sector (Queen Elizabeth University Hospital, and Glasgow Royal Infirmary) and from referrals to the COPD clinical team at these sites.

Patients meeting inclusion criteria will be approached and offered enrolment to the study. Recruitment and consent timings will be individualised to be most efficient and least burdensome for patients. For some patients it will be appropriate to do this immediately to avoid burden of repeated attendances; for some patients, delay and consideration may be appropriate; for some patients the enrolment and engagement may be a staged process (consent at time of hospital attendance, study commence at follow up home or clinic visit etc).

Patients recruited will receive support information and assistance with login setups for the digital service components. Literature with frequently asked questions (FAQs), and team contacts for service support are available for throughout the study.

Patients enrolled will be asked, and prompted with text notifications, to complete daily short structured COPD symptom questionnaire. There are a small number of additional questions on a weekly basis, with quality of life questions completed once every 28 days. Patients recruited will have a "Fitbit" wristband wearable to monitor physiology.

Patients with hypercapnic respiratory failure will additionally be on home non-invasive ventilation (NIV) treatment - this is part of their routine clinical care rather than a study intervention. However, the study patient resource and messaging system will be used to gather information and support this treatment.

Selected patients, who are recruited during hospital admission or attendance and will be attending outpatient clinic follow up, will undergo exploratory physiology measurements - parasternal electromyography (EMG) (similar to electrocardiography (ECG) recording, takes ~20 minutes with breathing manoeuvres), oscillometry (a breathing test involving 10 resting non-effortful breaths blown into the medical device), home pollution monitoring (a pack which rests in patients bedroom +/- tube placed outside house) for 7 days - alongside routine clinical care at baseline and 3 monthly intervals.

Patients will have linked access from the patient resource to curated information about COPD diagnosis, and all aspects of management. Specific prompts about management - e.g. timing to make appointment for annual flu vaccination - will be provided through platform-text notifications. Self-management content of the resource will potentially be further developed over iterations within the study; any change in content of patient materials would be advised as a protocol amendment.

Patients will be able to message the clinical team using the patient portal. This supplements existing availability of answer phone contact details provided as part of routine clinical care. Automatic messages will notify patients that this is not for emergency contact, and that replies should be expected within Mon-Fri working hours, by next working day. This messaging system will be used to support self management, home oxygen and home NIV treatment initiation and monitoring, and practical aspects such as appointment scheduling and equipment consumable replenishment.

The clinical team will be able to access the data from the patients symptom diaries, wearable and NIV physiology directly - asynchronously, rather than delayed acquisition of this data at a clinical contact. This data visualisation will support routine clinical care, and better inform unscheduled advice contacts from patients (e.g. help determine significance of apparent worsening symptoms).

This data will be subject to machine-learning analysis, which will evaluate secondary endpoints, as per protocol.

Being tested
COPD digital support service
Medical subject headings
Pulmonary Disease, Chronic Obstructive

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • COPD digital support serviceOther

    Also called Lenus Health COPD

    Use of COPD digital services to record patient symptoms, integrate physiology monitoring, communicate with the clinical team and track interaction

Study groups in NCT04240353
Study groupRoleWhat they receive
COPD groupPatients with high-risk COPD with recent exacerbation requiring hospitalisation (within last 12 months) or hypercapnia respiratory failure and/or sleep disordered breathing meeting criteria for provision of home NIV.
Receives: Other: COPD digital support service

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Patient utilisation of digital service

    Proportion of enrolled high-risk COPD patients successfully utilising remote-management in a digital service model

    Measured: 24 months (12 months recruiting)

Secondary outcomes (5)
  1. Clinical outcomes

    Impact of digitally-enabled remote management on clinical outcomes including COPD exacerbations, unscheduled care contact, hospitalisation and occupied bed days, compared to historical and contemporary SafeHaven cohort (electronic health care record dataset) cohorts

    Measured: 24 months (12 months recruiting)

  2. Clinical service outcomes

    Impact of digital service model on clinical service outcomes including number, nature and complexity of reviews for remotely managed NIV and supported self management.

    Measured: 24 months (12 months recruiting)

  3. Machine-learning analyses

    Machine-learning supported exploratory analyses of associations and relative predictive importance of electronic health record, patient-reported outcomes, wearables physiology and NIV parameters

    Measured: 24 months (12 months recruiting)

  4. Patient-centred outcomes

    Impact of digital service on patient-centred outcomes including health related quality of life (EQ5-D) at baseline and monthly during study and qualitative user research with semi-structured user experience interviews.

    Measured: 24 months (12 months recruiting)

  5. Healthcare cost analyses of digital service model

    Assessment of healthcare costs associated with the digital service model including development and installation costs, recurring costs, and projected direct/indirect costs savings compared to previous service model

    Measured: 24 months (12 months recruiting)

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted27 Jan 2020
  2. Study start1 Aug 2018
  3. Primary completion31 Jul 2021 (estimated)
  4. Study completion31 Jul 2021 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
400 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04240353
Sponsor's protocol ID
INGN18RM173
Status last verified
Feb 2021
First submitted
21 Jan 2020
Last updated
3 Feb 2021
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Taylor A, Lowe DJ, McDowell G, Lua S, Burns S, McGinness P, Carlin CM. Remote-Management of COPD: Evaluating the Implementation of Digital Innovation to Enable Routine Care (RECEIVER): the protocol for a feasibility and service adoption observational cohort study. BMJ Open Respir Res. 2021 Aug;8(1):e000905. doi: 10.1136/bmjresp-2021-000905.

    PubMed 34462271

Questions about this trial

What is this clinical trial studying?

An observational study of Chronic Obstructive Pulmonary Disease, run by NHS Greater Glasgow and Clyde at 1 site in United Kingdom.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 6 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 3 Feb 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Patient utilisation of digital service (time frame: 24 months (12 months recruiting)). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT04240353, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Feb 2021; AzTrials last refreshed its copy on 3 Nov 2026.

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