Research data supporting EXPRESS-CJ (Exploring the social and ethical implications of risk stratified screening for society - Community jury study)
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Authors
Dennison, Rebecca
Boscott, Rachel
Thomas, Rae
Moorthie, Sowmiya
Thomas, Chloe
Publication Date
2022-05-17Type
Dataset
Metadata
Show full item recordCitation
Dennison, R., Boscott, R., Thomas, R., Griffin, S., Harrison, H., John, S., Moorthie, S., et al. (2022). Research data supporting EXPRESS-CJ (Exploring the social and ethical implications of risk stratified screening for society - Community jury study) [Dataset]. https://doi.org/10.17863/CAM.78681
Description
This entry relates to data collected as part of the EXPRESS-CJ study to explore the public acceptability of using risk stratification to determine eligibility for cancer screening using community juries.
The dataset is the pseudo-anonymised transcripts from the three community juries. Consent was given by participants to share anonymised data with other responsible researchers. As consent was not given to share publicly it is not possible to add the data to the repository. Instead, the data are stored within the Primary Care Unit and researchers can request access by contacting Dr Rebecca Dennison (rl423@medschl.cam.ac.uk) or PCU_DATA@medschl.cam.ac.uk. Applicants will be required to complete a Data Access Agreement that will indicate the criteria for data access and conditions for research use and will incorporate privacy and confidentiality standards to ensure data security.
The information pack that was sent to the participants before the study and study questionnaires are attached with this record.
Format
No specific software is required.
Keywords
Cancer, Population screening, Risk stratification, Acceptability, Communication, Community jury
Relationships
Publication Reference: https://doi.org/10.1111/hex.13522https://www.repository.cam.ac.uk/handle/1810/336934
Sponsorship
Funded by a CRUK Cambridge Centre Early Detection Pump Priming award.
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.78681
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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IRUS guide.
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