Neoplasms

Respiratory Tract (Lung and Bronchial) Diseases

All Conditions

Digestive System Diseases

Lung Neoplasms

Colorectal Neoplasms

Intestinal Neoplasms

Gastrointestinal Neoplasms

Digestive System Neoplasms

Gastrointestinal Diseases

Colonic Diseases

Intestinal Diseases

Rectal Diseases

This cohort seeks to investigate the feasibility of using two commercially available health and wellbeing trackers to monitor patients with colorectal cancer who are about to start treatment. Participants will be asked to:

* Wear the OURA ring and the Withings ScanWatch for the duration of their planned cancer treatment up to a maximum of 26 weeks (6 months).
* Complete weekly wearable device satisfaction surveys and weekly cancer specific patient reported outcomes measures (modified FACT-C survey).
* Report specific symptoms on an ad-hoc basis as they wish.

This cohort seeks to investigate the feasibility of using two commercially available health and wellbeing trackers to monitor patients with lung cancer who are about to start treatment. Participants will be asked to:

* Wear the OURA ring and the Withings ScanWatch for the duration of their planned cancer treatment up to a maximum of 26 weeks (6 months).
* Complete weekly wearable device satisfaction surveys and weekly cancer specific patient reported outcomes measures (modified FACT-L survey).
* Report specific symptoms on an ad-hoc basis as they wish.

Participants (with haematological malignancy about to start treatment with CAR T-cell therapy or another cellular therapy product) will be asked to:

* Wear an OURA ring and Withings ScanWatch for approx five weeks including whilst they are in hospital (prior to CAR T-cell therapy and continue for 28 days post infusion)
* Wear an Isansys LifeTouch, Isansys LifeTemp and Nonin Model 3150 WristOx™ Pulse Oximeter during their inpatient stay only, up to a maximum of 28 days.
* Supported to take daily weights using Withings Body Scale.
* Asked to complete weekly electronic quality of life surveys
* Provide a series of 12 blood samples to measure inflammatory molecules at various intervals

All participants will be asked to wear an OURA ring and WithingsScan Watch both at home and whilst in hospital. These devices can record activity, sleep type and duration, resting heart rate and heart rate variability along with a range of other vital signs.

OURA Ring

WithingsScan Watch

Participants in cohort 3 will also be asked to wear Isansys monitoring devices whilst they are in hospital. They will begin to wear the monitors prior to CAR T-cell therapy and continue for 28 days post infusion. Participants will be asked to wear an Isansys LifeTouch, Isansys LifeTemp and Nonin Model 3150 WristOx™ Pulse Oximeter during their inpatient stay only, up to a maximum of 28 days.

Isansys Patient Status Engine

On a weekly basis participants will be asked to complete satisfaction surveys for the devices they are wearing (ring and watch) and report on their quality of life through standardised questionnaires. These surveys will be delivered electronically to participants via their smartphone or tablet device. There will be an option for participants to report adhoc symptoms via an app on their smartphone or tablet device.

Quality of Life Surveys

COHORT 3 ONLY

Participants in Cohort 3 only will be asked to provide a series of blood samples to measure inflammatory molecules during the study. These will be requested at various intervals during face-to-face visits and whilst the patient is in hospital:

* Baseline blood sample during study enrolment
* Post-lymphodepletion and prior to CAR T-cell infusion (this may be on day -1 or day 0 as needed)
* Post CAR T-cell infusion:

  * Day 1
  * Day 3
  * Day 6
  * Day 9
  * Day 14 (if the participant remains in hospital)

A sample of blood will be taken at baseline and a further sample post lymphodepletion and prior to CAR T-cell infusion. Post CAR T-cell infusion, samples will be taken at two timepoints (morning and afternoon) on each of the sampling days.

Blood Samples

COHORT 3 ONLY

During their inpatient stay, up to a maximum of 28 days, participants in Cohort 3 will be supported to weigh themselves daily using a Withings Body Scale.

Daily Weights

Hayley Brooks

Dr Anthony Wilson

The EMBRaCE-GM study is a multi-cohort trial designed to efficiently evaluate the range of wearable vital signs monitors that could be used to support patients during cancer treatment.

The aims of the study are to determine

* to determine if continuous vital signs monitoring is feasible during cancer treatment
* to determine if such monitoring is acceptable to patients undergoing cancer treatment
* to determine what insights could be made with the data obtained

A multi-cohort study is essential because there are a huge range of vital signs monitors that could be useful and a method that allows quickly identification of the devices that are most acceptable to patients and which offer the most useful information to clinicians is needed. Similarly, the best device may vary according to the specific disease and the treatment a patient is offered.

Each cohort in the study will investigate a variety of wearable vital signs monitors in different patient groups undergoing different treatments. A common data collection platform will be used for all cohorts with a modular design that allows data collection to be adapted slightly to meet specific needs for each cohort.

1 in 2 people will be diagnosed with cancer during their lifetime with over 350,000 new cancer diagnoses per year (UK). Cancer treatment is a complex process. Patients experience a range of symptoms as a consequence of their disease and their treatment. Sometimes, the treatment itself can lead to specific life-threatening complications.Patients who recover may be left with lasting physical and psychological consequences. A third of those who are suffering from cancer or who have recovered from it classify their health as 'average to poor' which is double the rate reported by individuals without health problems. There is an ongoing need to offer patients personalised support through their cancer journey and to identify and minimise complications.

This need for personalised cancer care is emphasised in the NHS Long Term Plan (2019). A key aim of which is to improve cancer survival but with a focus on giving patients 'more control over their health' through improved self-management. The long-term plan identifies a need for digitally-enabled care to empower patients and highlights that artificial intelligence (AI) and digital clinical decision support could play a role in this regard.

Wearable vital signs monitors offer a solution by which patients can be monitored more frequently and in more detail during cancer treatment. There is a huge variety of wearable monitors which range from commercially available well-being trackers to CE marked medical devices. The devices themselves take many forms which may vary in their acceptability to patients and utility to health care professionals. The parameters which can be monitored range from traditional vital signs to more holistic measures of sleep, stress and activity. Such information could help to identify individuals who are recovering well, those who are experiencing specific symptoms or those who need extra assistance.

The availability of commercial well-being monitors is growing rapidly and monitors are becoming progressively more sophisticated. Monitors are also increasingly used in medical research in conjunction with or in place of formal medical devices. This trend has been highlighted in a recent systematic review in which the authors noted the need for further research to understand the validity and acceptability of using such devices in an outpatient healthcare setting. This is particularly true for patients suffering from cancer, where the vast majority of wearable device research has focused upon exercise trackers, the breast cancer tumour type and patients who have already completed their cancer treatment. In addition, the acceptability of such devices to patients has been shown to vary. The COMPARE study reported that patients are broadly supportive of artificial intelligence (AI) and wearable devices whilst a study in patient genitourinary cancer found that acceptability of wearable devices varied between 100% (40-49 years) and 40% (80-89 years).

The situation is broadly the same for wearable vital signs monitors which are registered as medical devices. Whilst these devices have been more extensively studied, the majority of research does not pertain to cancer patients and no specific use case has been identified in this patient population.

Therefore, before wearable vital signs monitors can play a role in cancer care it is essential that the acceptability of the range of devices is formally evaluated in a variety of cancer types, in a broad demographic of patients, over the duration of cancer treatment and in a variety of treatment modalities and settings. The investigators aim to understand the potential of these devices to offer new insights and learn if the information provided can be useful to patients and healthcare professionals.

The EMBRaCE-GM study is a multi-cohort trial designed to efficiently evaluate the range of wearable vital signs monitors. Each cohort is a distinct group of patients who undertake a feasibility study.

Enhanced Monitoring for Better Recovery and Cancer Experience in Greater Manchester

A Multi-cohort Trial to Investigate the Feasibility and Acceptability of Wearable Vital Signs Monitors in Patients Undergoing Cancer Treatment in Greater Manchester.

The proportion of participants who completed the planned duration of monitoring with the device (ie:- did not request to terminate the study early) and the amount of time vital signs were actually recorded by the device expressed as a percentage of the total time the patient wore the device on the study.

The proportion of participants who completed 5 weeks of monitoring and the full period of monitoring (hospital admission to discharge, max 28 days) with the device (i.e:- did not request to remove the device early) as the amount of time vital signs were actually recorded by the device expressed as a percentage of the total duration of the participant's planned cancer treatment.

The proportion of participants who completed 5 weeks of monitoring and the full period of monitoring (hospital admission to discharge, max 28 days) with the device (i.e:- did not request to remove the device early) as the amount of time vital signs were actually recorded by the device expressed as a percentage of the total time the patient wore the device on the study.

The number of daily weights recorded (inpatient stay, max 28 days)

The outcome is measured as an overall device acceptability to participants, this will be reflected as the number of eligible patients who declined to take part in the study and their reasons for declining compared to participant feedback of acceptability.

Participants will be asked to complete a weekly survey (via smart phone/tablet) to determine the acceptability of the devices to patients:

- Likert scale acceptability ratings for each wearable monitor(pre-defined answer options, ranging from "very likely" through to "highly unlikely" on a 5-point scale) and free text comments on wearing the devices

Participants will be asked to complete a weekly survey (via smart phone/tablet) to determine the acceptability of the devices to patients:

- The percentage of participants who report each week that they have decided to stop wearing the device (via weekly survey) and categorical reasons for device removal (via weekly survey)

Participants will be asked to complete a weekly survey (via smart phone/tablet) to determine the acceptability of the devices to patients:

- The percentage of the devices that are successfully returned for re-use at the end of the study period and for devices that were not returned, what was the reason for this?

Participants will be asked to complete a weekly survey (via smart phone/tablet) to determine the acceptability of the devices to patients:

- Likert scale ratings (pre-defined answer options, ranging from "very likely" through to "highly unlikely" on a 5-point scale) and free text comments concerning the extent to which the devices support self-management.

Spots Global Cancer Trial Database for isansys patient status engine