Proactive familial cancer risk assessment: a service development study in UK primary care

Abstract

BackgroundFamily history assessment can identify individuals above population-risk for cancer to enable targeted Screening, Prevention, and Early Detection (SPED). Family History Questionnaire Service (FHQS) is a resource-efficient patient-facing online tool to facilitate this. In the UK, cancer risk assessment is usually only offered to concerned individuals proactively self-presenting to their GP, leading to inequity in accessing SPED in the community.AimTo improve access to community cancer genetic risk assessment and explore barriers to uptake.Design & settingService development project of a digital pathway using the FHQS for cancer risk assessment across four general practices within the clinical remit of the South West Thames Centre for Genomics (SWTCG).Method3100 individuals aged 38–50 years were invited to complete the FHQS through either text message or email. A random selection of 100 non-responders were contacted to determine barriers to uptake.ResultsIn total,n= 304/3100 (10%) registered for the FHQS. Responders were more likely to be British (63% vs 47%,P<0.001), speak English as their main language (92% vs 76%,P<0.001), and not require an interpreter (99.6% vs 94.9%,P= 0.001). Of 304 responders, 158 (52%) were automatically identified as at population-risk without full family history review. Of the remaining 146 responders, 52 (36%) required either additional screening referral (n= 23), genetics referral (n= 15), and/or advice to relatives (n = 18). Of 100 non-responders contacted, eight had incorrect contact details and 53 were contactable. Reasons for not responding included not receiving invitation details (n= 26), losing the invitation (n= 5), or forgetting (n= 4).ConclusionThe FHQS can be used as part of a low-resource primary care pathway to identify individuals in the community above population-risk for cancer requiring action. This study highlighted barriers to uptake requiring consideration to maximise impact and minimise inequity.