Gaba, Faiza;
Oxley, Samuel;
Liu, Xinting;
Yang, Xin;
Chandrasekaran, Dhivya;
Kalsi, Jatinderpal;
Antoniou, Antonis;
... Manchanda, Ranjit; + view all
(2022)
Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews.
Diagnostics
, 12
(5)
, Article 1028. 10.3390/diagnostics12051028.
Preview |
Text
GabaOxleyManchanda_2022_Diagnostics_Pop_testing_Qualitative data_PROMISE-FS.pdf - Published Version Download (290kB) | Preview |
Abstract
Unselected population-based personalised ovarian cancer (OC) risk assessments combining genetic, epidemiological and hormonal data have not previously been undertaken. We aimed to understand the attitudes, experiences and impact on the emotional well-being of women from the general population who underwent unselected population genetic testing (PGT) for personalised OC risk prediction and who received low-risk (<5% lifetime risk) results. This qualitative study was set within recruitment to a pilot PGT study using an OC risk tool and telephone helpline. OC-unaffected women ≥ 18 years and with no prior OC gene testing were ascertained through primary care in London. In-depth, semi-structured and 1:1 interviews were conducted until informational saturation was reached following nine interviews. Six interconnected themes emerged: health beliefs; decision making; factors influencing acceptability; effect on well-being; results communication; satisfaction. Satisfaction with testing was high and none expressed regret. All felt the telephone helpline was helpful and should remain optional. Delivery of low-risk results reduced anxiety. However, care must be taken to emphasise that low risk does not equal no risk. The main facilitators were ease of testing, learning about children’s risk and a desire to prevent disease. Barriers included change in family dynamics, insurance, stigmatisation and personality traits associated with stress/worry. PGT for personalised OC risk prediction in women in the general population had high acceptability/satisfaction and reduced anxiety in low-risk individuals. Facilitators/barriers observed were similar to those reported with genetic testing from high-risk cancer clinics and unselected PGT in the Jewish population.
| Type: | Article |
|---|---|
| Title: | Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/diagnostics12051028 |
| Publisher version: | https://doi.org/10.3390/diagnostics12051028 |
| Language: | English |
| Additional information: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | ovarian cancer; population testing; risk stratification; health and well-being |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10147413 |
Archive Staff Only
 |
View Item |
