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Analysis of referrals to a multi-disciplinary breast cancer genetics clinic: practical and economic considerations
Authors:Marta M. Reis  Dorothy Young  Lorna McLeish  David Goudie  Alan Cook  Frank Sullivan  Helen Vysny  Alison Fordyce  Roger Black  Manouche Tavakoli  Michael Steel
Affiliation:(1) Tayside Breast Cancer Family Clinic, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK;(2) Community Health Sciences Division, University of Dundee Medical School, McKenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, UK;(3) Bute Medical School, University of St Andrews, St Andrews, KY16 9TS, UK;(4) Information and Statistics Division (NHS Scotland), Gyle Square, Edinburgh, EH12 9EB, UK;(5) Department of Management, University of St Andrews, St Andrews, UK
Abstract:Analysis of activity was undertaken in an established regional clinic providing risk assessment, counselling, screening and management for women with a family history of breast or ovarian cancer. The objectives were to determine: (1) how closely the route and pattern of referrals matched official guidelines (2) whether the previously recorded socio-economic imbalance among clinic clientele persisted and (3) the economic and practical consequences of committing resources to verification and extension of reported family histories. The findings were: (1) after some years of operation, the proportion of referrals direct from primary care had increased from less than 50% to over 75%, with a concomitant slight decrease in overall referral rate; (2) the socio-economic distribution of patients referred had become less selective and (3) extension and verification of reported family histories led to a redistributuion of risk categories, increasing the proportion of referrals judged to be in the “low risk” category, from 25% (based on referral letter alone) to 41% (at the end of the process). The costs associated with this approach are offset by the savings generated and it allows specialised counselling and screening services to be targeted more efficiently.
Keywords:Breast cancer  Familial  Genetic  Clinical services  Risk  Assessment  Economics  Primary care
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