Cancer Research UK Local Cancer Awareness Measure, Greater Manchester, April-May 2024: Special Licence Access

DOI

Abstract copyright UK Data Service and data collection copyright owner.The Cancer Awareness Measure (CAM) was developed in 2007-8 to address the absence of a validated measure of general public awareness of cancer (Stubbings, S., Robb, K., Waller, J., Ramirez, A., Austoker, J., Macleod, U., Hion, S., and Wardle, J. (2009) 'Development of a measurement tool to assess public awareness of cancer', British Journal of Cancer, 101(2), S13-S17.).The survey includes measures of awareness of signs and symptoms of cancer, cancer risk factors, age-related risk, screening programmes and potential barriers to seeing the GP. Since then, Cancer Research UK (CRUK) has significantly revised and updated the survey, including a wider range of questions and collecting data online instead of face-to-face. 

In 2023-2024 Cancer Research UK ran two Local Cancer Awareness Measure Plus (CAM+) pilots, collecting data in two local regions (Greater Manchester and Leicester, Leicestershire and Rutland (LLR)) using both an online panel and community sampling to recruit participants. The LLR pilot Local CAM+ datasets are available under SNs 9343 and 9359.The Greater Manchester (GM) pilot Local CAM+ dataset does not include National CAM+ questions on alcohol consumption, physical activity, perception of health services capacity and closeness to cancer. However, it includes additional questions on possible facilitators for cancer screening attendance and willingness to travel for hospital tests.A End User Licence version of this study is available under SN 9342.Further information about the CAM+ may be found on the Cancer Research UK Cancer Awareness Measure Plus (CAM+) webpage.

Main Topics:The CAM questionnaires address the following topics: public awareness of cancer symptoms public knowledge of cancer risk factors barriers and enablers to help seeking uptake of screening programmes barriers to cancer screening (cervical, breast and bowel)experience of breast and cervical cancer screening symptom experience co-morbiditiesperception of symptom seriousness help seeking behaviours including remote consultation and re-presentation perceptions of remote consultation demographic variables including health behaviours such as smoking and fruit and vegetable consumption.From 2021 onwards, the questionnaire also covers:impact of COVID-19 on help seeking behaviourperceptions of safety from COVID-19 in different medical settings.The Special Licence version of the CAM dataset includes more detailed data on symptoms, risk factors and reasons for delay. Users should check the standard End User Licence (EUL) version of the study to see whether it meets their research needs before making an application for the Special Licence version.

Quota sample

Self-administered questionnaire: Web-based (CAWI)

Identifier
DOI https://doi.org/10.1038/sj.bjc.6605385
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=2ba551fda73157ae2707df062f22cf4cd9c724a18e9d6aa82cc13dd9a849ee7f
Provenance
Creator Cancer Research UK
Publisher UK Data Service
Publication Year 2025
Funding Reference Cancer Research UK
Rights <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply.; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use is not permitted.</p><p>Use of the data requires approval from the data owner or their nominee. Users must apply for access via a Special Licence application.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Greater Manchester; England