Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06222905 |
Other study ID # |
P02445 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
February 20, 2019 |
Est. completion date |
December 31, 2030 |
Study information
Verified date |
January 2024 |
Source |
Papworth Hospital NHS Foundation Trust |
Contact |
Lucy Gale |
Phone |
01223638480 |
Email |
lucy.gale1[@]nhs.net |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The goal of this observational study is to learn about the impact of home monitoring in
adults with cystic fibrosis. The main questions it aims to answer are:
- how people with CF find using home monitoring equipment
- to see if by using home monitoring data acute respiratory exacerbations (chest
infections) can be detected earlier than standard care
Participants will be provided with a range of home monitoring equipment -
- hand held spirometer (lung function)
- weighing scales
- oximeter (blood oxygen levels)
- activity and heart rate monitor
to measure health at home several times a week. This information links to an app on a
smartphone which the participant and clinicians can see.
Description:
This is a multi-centre, observational, prospective cohort study. We aim to recruit 610 adult
patients with CF from the following four CF centres within the United Kingdom
- Royal Papworth Hospital, Cambridge
- University Hospital Llandough, Penarth Wales
- Queen Elizabeth University Hospital, Glasgow, Scotland
- Western General Hospital, Edinburgh, Scotland.
The study is designed to run as a non-disruptive study with no impact on routine clinical
practice. Each participant will be actively involved in home monitoring / virtual clinics.
Their linked-anonymised data will be uploaded to a secure NHS (National Health Service)
approved web-based site for analysis via Microsoft Azure which implements the transmission
integrity and confidentiality control by ensuring that cryptography is implemented through a
hybrid model.
Clinical metadata including physiology home monitor / virtual clinic data, sputum volume and
colour recording will be analysed to establish whether there are predictive signals that
could be used as an early alert to clinical deterioration.
Patient level costing will be compared across the cohort and with historical controls to
estimate the cost saving or additional cost of home monitoring / virtual clinics.
The statistical data will be analysed by statisticians at the University of Cambridge, with
analysis expertise input by Microsoft Research. The health economic data analysis will be
carried out by statisticians at the University of Cambridge, with input from the CF Trust and
Microsoft Research. A variety of different statistics packages will be utilised as
appropriate.
The study specific questionnaire will be completed online by the patients through
SurveyMonkey or in paper form if the patient prefers with the questionnaire taking
approximately 15 minutes to complete.
All data will be link anonymised and the interviews that take place (at the lead site only)
will generate identifiable data, however this will be restricted to the research team at
Royal Papworth Hospital and anonymised prior to publication.
Study Duration The study will run for 12 years (with each participant enrolled for up to 5
years (60 months)). The anticipated start date would be 1st December 2018 with the expected
end date of the 31 Dec 2030.
Study Activities and Data Collection
The duration of enrolment per participant will be up to 5 years (60 months). During the study
period patient data will be collected on the following parameters:
1. Physiology home monitor / virtual clinic data, sputum volume and colour recording
metadata will be analysed to establish whether there are predictive signals that could
be used as an early alert to clinical deterioration. The above parameters are routinely
collected as part of their normal clinical care, by using the 'Breathe RM' (Remote
Monitor) which is downloaded onto the patient's own smartphone Patients will need to
have access to a Wi-Fi connection, but the app will not create any mobile data charges
as long as they are connected to Wi-Fi.
The patient can then sync the following devices:
i. Fitbit - passive monitoring ii. Pulse oximeter - once daily iii. Spirometer - once
daily iv. Weighing scales - once daily Anonymised data from the above devices will be
uploaded and synced with the app. This will need to be done daily by the patient.
2. Patient level costing data will be compared across the cohort and with historical
controls to estimate the cost saving or additional cost of home monitoring / virtual
clinics.
3. Semi- structured interviews (at the lead site only) and questionnaires completed through
SurveyMonkey or paper (patient can choose) to capture qualitative and quantitative
impact of home monitoring / virtual clinics on CF patients. This aspect of the project
is the only research procedures that the patients will be asked to undertake.
Patients will be asked to complete the following surveys at the timepoints listed below:
1. Study specific survey completed through either SurveyMonkey or paper copy at 3, 12 and 24
months which will take approximately 15 minutes to complete, no further questionnaires will
be required after the first 24 months only the continued collection of data as noted above.