Cancer Loyalty Card Study
CLOCS
1 other identifier
observational
963
1 country
1
Brief Summary
Approximately 7,400 new cases of ovarian cancer are diagnosed each year in the United Kingdom (UK), and with over 4,000 women dying from the disease each year it is a particularly lethal form of cancer. The symptoms for ovarian cancer are not well known and vague, and most women are diagnosed at a late stage when the cancer has already spread around the abdominal cavity with poor prognosis. Novel methods are needed to improve earlier detection and thereby improve survival from this disease. The Cancer Loyalty Card Study (CLOCS) proposes to use loyalty card data from two participating high street retailers to investigate purchase behaviour as an opportunity for cancer symptom surveillance. The investigators aim to conduct a case-control study of ovarian cancer patients matched with women without ovarian cancer and to explore public preferences for how to communicate potential outcomes of the commercial and health data linkages back to individuals. Eligible participants will be women in the UK who own at least one loyalty card with the participating high street retailers. Of these women, those who have been diagnosed with ovarian cancer are eligible to participate in the study as cases, while women who have not been diagnosed with ovarian cancer are eligible to participate as controls. Upon choosing to participate, all participants will be asked to complete a short questionnaire about well-established ovarian cancer risk factors and common symptoms either in the clinic (cases) or online/from a packet in the mail(controls). This information will be used in risk assessment for ovarian cancer of participants, which will be used at the analysis stage.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2019
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 19, 2019
CompletedFirst Posted
Study publicly available on registry
June 21, 2019
CompletedStudy Start
First participant enrolled
November 4, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
July 28, 2022
CompletedResults Posted
Study results publicly available
January 20, 2025
CompletedJanuary 20, 2025
January 1, 2025
2.2 years
June 19, 2019
February 6, 2023
January 17, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Purchase Behaviours (Purchase of Items)
The primary outcome of the CLOCS will be to define the time by which the cases and controls are statistically significantly (p=0.05) different in their purchase behaviours leading up to ovarian cancer diagnosis. A higher purchase amount of relevant items (pain and indigestion medications) in cases compared to controls associated with cancer.
24 months
Secondary Outcomes (1)
Alert About Cancer Symptoms Assessed by Purchase Behaviour
3 years
Study Arms (2)
Cases
Participants diagnosed with ovarian cancer
Controls
Participants without ovarian cancer
Interventions
For cases, the study recruiter at the Trust will present this in the clinic. Controls will complete this online or at home when volunteering to participate. The participant questionnaire will be completed by the participant.
For cases, the study recruiter at the trust will complete this form together with the participant. Controls will not complete this form.
Eligibility Criteria
All participants will be females in the UK who are at least 18 years old and who own at least one of the participating high street retailer loyalty cards. Participants who have been diagnosed with ovarian cancer are considered cases. Participants who do not have ovarian cancer are considered controls.
You may qualify if:
- Women, at least 18 years old, recently diagnosed with ovarian cancer (preferably recruited just after diagnosis and during treatment period,but are still eligible if diagnosed up to 2 years prior, at the latest) who hold at least one participating high street retailer loyalty card are eligible to join the CLOCS as cases.
- Women, at least 18 years old, who have not been diagnosed with ovarian cancer and hold at least one participating high street retailer loyalty card are eligible to join the CLOCS as controls.
You may not qualify if:
- Women under the age of 18 years and, since this is a study about ovarian cancer,men will not be eligible to join this study. Women who do not own loyalty cards with the participating high street retailers are not eligible to join this study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Imperial College Londonlead
- Cancer Research UKcollaborator
- Imperial College Healthcare NHS Trustcollaborator
- Sandwell & West Birmingham Hospitals NHS Trustcollaborator
- University College London Hospitalscollaborator
- County Durham and Darlington NHS Foundation Trustcollaborator
- Walsall Healthcare NHS Trustcollaborator
- Surrey and Sussex Healthcare NHS Trustcollaborator
- Airedale NHS Foundation Trustcollaborator
- Abertawe Bro Morgannwg University Health Boardcollaborator
- Gateshead Health NHS Foundation Trustcollaborator
- Norfolk and Norwich University Hospitals NHS Foundation Trustcollaborator
- The Leeds Teaching Hospitals NHS Trustcollaborator
- NHS Lothiancollaborator
- East Lancashire Hospitals NHS Trustcollaborator
- University Hospitals Bristol and Weston NHS Foundation Trustcollaborator
- Royal Surrey County Hospital NHS Foundation Trustcollaborator
- Royal Marsden NHS Foundation Trustcollaborator
- Velindre NHS Trustcollaborator
- Cardiff and Vale University Health Boardcollaborator
- South Tees Hospitals NHS Foundation Trustcollaborator
- West Hertfordshire Hospitals NHS Trustcollaborator
- The Christie NHS Foundation Trustcollaborator
- Manchester University NHS Foundation Trustcollaborator
- NHS Greater Glasgow and Clydecollaborator
Study Sites (1)
Imperial College Healthcare NHS Trust
London, United Kingdom
Related Publications (4)
Flanagan JM, Skrobanski H, Shi X, Hirst Y. Self-Care Behaviors of Ovarian Cancer Patients Before Their Diagnosis: Proof-of-Concept Study. JMIR Cancer. 2019 Jan 17;5(1):e10447. doi: 10.2196/10447.
PMID: 30664464BACKGROUNDBrewer HR, Chadeau-Hyam M, Johnson E, Sundar S, Flanagan J, Hirst Y. Cancer Loyalty Card Study (CLOCS): feasibility outcomes for an observational case-control study focusing on the patient interval in ovarian cancer. BMJ Open. 2023 Jun 14;13(6):e066022. doi: 10.1136/bmjopen-2022-066022.
PMID: 37316316RESULTBrewer HR, Hirst Y, Chadeau-Hyam M, Johnson E, Sundar S, Flanagan JM. Association Between Purchase of Over-the-Counter Medications and Ovarian Cancer Diagnosis in the Cancer Loyalty Card Study (CLOCS): Observational Case-Control Study. JMIR Public Health Surveill. 2023 Jan 26;9:e41762. doi: 10.2196/41762.
PMID: 36701184DERIVEDBrewer HR, Hirst Y, Sundar S, Chadeau-Hyam M, Flanagan JM. Cancer Loyalty Card Study (CLOCS): protocol for an observational case-control study focusing on the patient interval in ovarian cancer diagnosis. BMJ Open. 2020 Sep 8;10(9):e037459. doi: 10.1136/bmjopen-2020-037459.
PMID: 32900761DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr James Flanagan
- Organization
- Imperial College London
Study Officials
- PRINCIPAL INVESTIGATOR
James Flanagan, PhD
Imperial College London
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 19, 2019
First Posted
June 21, 2019
Study Start
November 4, 2019
Primary Completion
January 31, 2022
Study Completion
July 28, 2022
Last Updated
January 20, 2025
Results First Posted
January 20, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will not share
Only aggregated and anonymised survey data will be shared with other researchers after publication. No sensitive individual level data will be shared.