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E-genetics: exploring the acceptability and feasibility of using technology in cancer genetics services
J Hilgart1, J A Hayward, R Iredale
1Institute of Medical Genetics, Cardiff University, Cardiff, UK.
Information and communication technologies (ICTs) in cancer genetics services, or e-genetics, show promise for improving access. Patient feedback indicates high acceptability for many e-genetics tools, though patient choice remains paramount.
Area of Science:
- Medical Informatics
- Genetics
- Public Health
Background:
- Increasing demand for specialist cancer genetics services necessitates innovative delivery models.
- Information and communication technologies (ICTs) offer potential solutions for improving access, particularly in rural areas.
- The Cancer Genetics Service for Wales (CGSW) explored the integration of ICTs into its services, termed e-genetics.
Purpose of the Study:
- To explore the acceptability and feasibility of utilizing ICTs within cancer genetics services.
- To gather patient and staff perspectives on proposed e-genetics initiatives.
- To identify key factors for successful implementation of e-genetics.
Main Methods:
- An online patient survey was conducted with 225 participants.
- Focus groups were held with patients and staff from the CGSW.
- Data collected explored patient preferences for various e-genetics tools and service delivery models.
Main Results:
- Many proposed e-genetics aspects, including electronic questionnaires and decision aids, were highly acceptable to patients.
- Telemedicine for genetic counseling was viewed as a beneficial option for specific patient groups, not a replacement for face-to-face appointments.
- Patient choice and individual needs were emphasized as crucial for service development.
Conclusions:
- E-genetics initiatives have the potential to enhance efficiency and cost-effectiveness in cancer genetics services.
- While not universally suitable for all users, user-friendly e-genetics developments can improve service quality and accessibility.
- Balancing technological integration with patient preferences is key to successful e-genetics implementation.
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