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Clinical implementation of an oncology-specific family health history risk assessment tool.
Fung, Si Ming; Wu, R Ryanne; Myers, Rachel A; Goh, Jasper; Ginsburg, Geoffrey S; Matchar, David; Orlando, Lori A; Ngeow, Joanne.
Afiliação
  • Fung SM; Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Wu RR; Centre for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, North Carolina, 27708, Durham, USA. ryanne.wu@duke.edu.
  • Myers RA; Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, North Carolina, 27708, Durham, USA. ryanne.wu@duke.edu.
  • Goh J; Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore. ryanne.wu@duke.edu.
  • Ginsburg GS; Centre for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, North Carolina, 27708, Durham, USA.
  • Matchar D; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Orlando LA; Centre for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, North Carolina, 27708, Durham, USA.
  • Ngeow J; Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, North Carolina, 27708, Durham, USA.
Hered Cancer Clin Pract ; 19(1): 20, 2021 Mar 20.
Article em En | MEDLINE | ID: mdl-33743786
BACKGROUND: The presence of hereditary cancer syndromes in cancer patients can have an impact on current clinical care and post-treatment prevention and surveillance measures. Several barriers inhibit identification of hereditary cancer syndromes in routine practice. This paper describes the impact of using a patient-facing family health history risk assessment platform on the identification and referral of breast cancer patients to genetic counselling services. METHODS: This was a hybrid implementation-effectiveness study completed in breast cancer clinics. English-literate patients not previously referred for genetic counselling and/or gone through genetic testing were offered enrollment. Consented participants were provided educational materials on family health history collection, entered their family health history into the platform and completed a satisfaction survey. Upon completion, participants and their clinicians were given personalized risk reports. Chart abstraction was done to identify actions taken by patients, providers and genetic counsellors. RESULTS: Of 195 patients approached, 102 consented and completed the study (mean age 55.7, 100 % women). Sixty-six (65 %) met guideline criteria for genetic counseling of which 24 (36 %) were referred for genetic counseling. Of those referred, 13 (54 %) participants attended and eight (33 %) completed genetic testing. On multivariate logistic regression, referral was not associated with age, cancer stage, or race but was associated with clinical provider (p = 0.041). Most providers (71 %) had higher referral rates during the study compared to prior. The majority of participants found the experience useful (84 %), were more aware of their health risks (83 %), and were likely to recommend using a patient-facing platform to others (69 %). CONCLUSIONS: 65 % of patients attending breast cancer clinics in this study are at-risk for hereditary conditions based on current guidelines. Using a patient-facing risk assessment platform enhances the ability to identify these patients systematically and with widespread acceptability and recognized value by patients. As only a third of at-risk participants received referrals for genetic counseling, further understanding barriers to referral is needed to optimize hereditary risk assessment in oncology practices. TRIAL REGISTRATION: NIH Clinical Trials registry, NCT04639934 . Registered Nov 23, 2020 -- Retrospectively registered.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article