Help to improve the patient experience during investigations for suspected lung cancer

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Consultation has concluded

Are you interested in taking part in improving the patient experience during investigations for suspected lung cancer?

We’re looking for people who have had chest X-rays for suspected lung cancer, regardless of the outcome, diagnosis, or treatment plans. We’re also keen to hear from their close family or friends of such people to learn what they experienced as a result of that time.

What is it for?

The research team at the Centre for Healthcare Innovation Research at City, University of London is planning a research study to understand the thoughts and experiences of people, their close family members and friends during the investigations for suspected lung cancer. It is funded by Innovate UK as part of a wider project examining the use of an Artificial Intelligence (AI) based computer programme used in chest imaging.

The research team is inviting people to join a patient and public involvement (PPI) advisory group. We would like to understand the experiences of those referred for chest imaging and their immediate family/friends if affected.

What would PPI advisory group members be expected to do?

PPI group members will be asked to attend one workshop to share their experiences during the investigations for suspected lung cancer in a focus group. You can choose to take part in person or online.

Timeline

In December 2023 and January 2024, we plan to organise one in-person and one online workshop during working hours, and one online workshop 6 pm – 8 pm weekdays. Each workshop would take approximately two hours. The in-person workshop will be at City, University of London (Northampton Square, London, EC1V 0HB), and online workshops will be on Zoom. Detailed information will be shared after registration via email.

Remuneration

You will receive payment for any time spent in the workshop, £25/hour, and travel expenses for the in-person workshop.


If you are interested and would like to know more please email Janette Rawlinson, [email protected] or Menghan Cui, [email protected]

Are you interested in taking part in improving the patient experience during investigations for suspected lung cancer?

We’re looking for people who have had chest X-rays for suspected lung cancer, regardless of the outcome, diagnosis, or treatment plans. We’re also keen to hear from their close family or friends of such people to learn what they experienced as a result of that time.

What is it for?

The research team at the Centre for Healthcare Innovation Research at City, University of London is planning a research study to understand the thoughts and experiences of people, their close family members and friends during the investigations for suspected lung cancer. It is funded by Innovate UK as part of a wider project examining the use of an Artificial Intelligence (AI) based computer programme used in chest imaging.

The research team is inviting people to join a patient and public involvement (PPI) advisory group. We would like to understand the experiences of those referred for chest imaging and their immediate family/friends if affected.

What would PPI advisory group members be expected to do?

PPI group members will be asked to attend one workshop to share their experiences during the investigations for suspected lung cancer in a focus group. You can choose to take part in person or online.

Timeline

In December 2023 and January 2024, we plan to organise one in-person and one online workshop during working hours, and one online workshop 6 pm – 8 pm weekdays. Each workshop would take approximately two hours. The in-person workshop will be at City, University of London (Northampton Square, London, EC1V 0HB), and online workshops will be on Zoom. Detailed information will be shared after registration via email.

Remuneration

You will receive payment for any time spent in the workshop, £25/hour, and travel expenses for the in-person workshop.


If you are interested and would like to know more please email Janette Rawlinson, [email protected] or Menghan Cui, [email protected]