Cancer Genetic Risk Assessment and Referral Patterns in Primary Care
| Autor: | A. R. Bradbury, Michele Toscano, Brian L. Egleston, Joanne Armstrong, Hetal S. Vig, Mary B. Daly, Carla Mazar, Neal J. Meropol |
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| Rok vydání: | 2009 |
| Předmět: |
Adult
Male medicine.medical_specialty Referral Genetic counseling education Specialty MEDLINE Sex Factors Neoplasms medicine Humans Genetic Testing Referral and Consultation Genetics (clinical) Aged Genetic testing Primary Health Care medicine.diagnostic_test business.industry Data Collection Cancer Original Articles General Medicine Middle Aged medicine.disease Latent class model Pedigree Family medicine Female business Risk assessment |
| Zdroj: | Genetic Testing and Molecular Biomarkers. 13:735-741 |
| ISSN: | 1945-0257 1945-0265 |
| Popis: | Purpose: This study was undertaken to describe cancer risk assessment practices among primary care providers (PCPs). Methods: An electronic survey was sent to PCPs affiliated with a single insurance carrier. Demographic and practice characteristics associated with cancer genetic risk assessment and testing activities were described. Latent class analysis supported by likelihood ratio tests was used to define PCP profiles with respect to the level of engagement in genetic risk assessment and referral activity based on demographic and practice characteristics. Results: 860 physicians responded to the survey (39% family practice, 29% internal medicine, 22% obstetrics/gynecology (OB/GYN), 10% other). Most respondents (83%) reported that they routinely assess hereditary cancer risk; however, only 33% reported that they take a full, three-generation pedigree for risk assessment. OB/GYN specialty, female gender, and physician access to a genetic counselor were independent predictors of referral to cancer genetics specialists. Three profiles of PCPs, based upon referral practice and extent of involvement in genetics evaluation, were defined. Conclusion: Profiles of physician characteristics associated with varying levels of engagement with cancer genetic risk assessment and testing can be identified. These profiles may ultimately be useful in targeting decision support tools and services. |
| Databáze: | OpenAIRE |
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