Abstract
A crucial first step to enable implementation of population-based genetic risk assessment and management in OC is to raise awareness of OC within SA communities. It will be important to engage with the SA community early on in programme implementation to address their specific concerns and to ensure culturally tailored decision support.
Population-based risk assessment, using genetic testing and the provision of appropriate risk management, could lead to prevention, early detection and improved clinical management of ovarian cancer (OC). Previous research with mostly white British participants found positive attitudes towards such a programme. The current study aimed to explore the attitudes of South Asian (SA) women and men in the UK with the aim of identifying how best to implement such a programme to minimise distress and maximise uptake.
Semistructured qualitative focus group discussions.
Community centres across North London and Luton.
49 women and 13 men who identified as SA (Indian, Pakistani or Bangladeshi), which constitutes the largest non-European ethnic minority group in the UK.
Seven community-based focus groups were held. Group discussions were transcribed verbatim, coded and analysed thematically.
Awareness and knowledge of OC symptoms and specific risk factors was low. The programme was acceptable to most participants and attitudes to it were generally positive. Participants' main concerns related to receiving a high-risk result following the genetic test. Younger women may be more cautious of genetic testing, screening or risk-reducing surgery due to the importance of marriage and childbearing in their SA cultures.
CONCLUSIONS
OBJECTIVE
DESIGN
SETTING
PARTICIPANTS
METHODS
RESULTS
| Original language | English |
|---|---|
| Journal | BMJ Open |
| Volume | 8 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 18 Jul 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Risk assessment
- genetic testing
- ovarian cancer
- risk management
- risk stratification
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