RESUMO
BACKGROUND: Improved technologies paired with an increase in access to genetic testing have led to the availability of expanded carrier screening evaluating hundreds of disorders. Currently, most autosomal dominant mutations, such as BRCA1, are not included in expanded carrier assays. Screening pregnant or preconception reproductive-aged women for BRCA1 may present a unique opportunity to perform population-based screening for patients at a time when precancer screening, chemoprevention, and/or risk-reducing surgery may be beneficial. OBJECTIVE: This study aimed to inform clinical decision-making as to whether the universal incorporation of BRCA1 testing at the time of obstetrical prenatal carrier screening is cost-effective. STUDY DESIGN: A decision analysis and Markov model was created. The initial decision point in the model was BRCA1 testing at the time of expanded carrier screening. Model probabilities, cost, and utility values were derived from published literature. For BRCA1-positive patients, the model simulated breast cancer screening and risk-reducing surgical interventions. A cycle length of 1 year and a time horizon of 47 years were used to simulate the lifespan of patients. The setting was obstetrical clinics in the United States, and the participants were a theoretical cohort of 1,429,074 pregnant patients who annually underwent expanded carrier screening. RESULTS: Among our cohort, BRCA1 testing resulted in the identification of an additional 3716 BRCA1-positive patients, the prevention of 1394 breast and ovarian cancer cases, and 1084 fewer deaths. BRCA1 testing was a cost-effective strategy compared with no BRCA1 testing with an incremental cost-effectiveness ratio of $86,001 per quality-adjusted life years. In a 1-way sensitivity analysis, we varied the prevalence of BRCA1 in the population from 0.00% to 20.00% and found that BRCA1 testing continued to be the cost-effective strategy until the prevalence rate was reduced to 0.16%. Multiple additional sensitivity analyses did not substantially affect the cost-effectiveness. CONCLUSION: The addition of BRCA1 testing to obstetrical prenatal carrier screening is a cost-effective management strategy to identify at-risk women at a time when cancer screening and preventive strategies can be effective. Despite the burden of additional genetic counseling, prenatal care represents a unique opportunity to implement population-based genetic testing.
RESUMO
PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to underutilization of hereditary cancer risk assessment. Chatbots, or programs that use artificial intelligence to simulate conversation, have emerged as a promising tool in health care and, more recently, as a potential tool for genetic cancer risk assessment and counseling. Here, we evaluated the existing literature on the use of chatbots in genetic cancer risk assessment and counseling. METHODS: A systematic review was conducted using key electronic databases to identify studies which use chatbots for genetic cancer risk assessment and counseling. Eligible studies were further subjected to meta-analysis. RESULTS: Seven studies met inclusion criteria, evaluating five distinct chatbots. Three studies evaluated a chatbot that could perform genetic cancer risk assessment, one study evaluated a chatbot that offered patient counseling, and three studies included both functions. The pooled estimated completion rate for the genetic cancer risk assessment was 36.7% (95% CI, 14.8 to 65.9). Two studies included comprehensive patient characteristics, and none involved a comparison group. Chatbots varied as to the involvement of a health care provider in the process of risk assessment and counseling. CONCLUSION: Chatbots have been used to streamline genetic cancer risk assessment and counseling and hold promise for reducing barriers to genetic services. Data regarding user and nonuser characteristics are lacking, as are data regarding comparative effectiveness to usual care. Future research may consider the impact of chatbots on equitable access to genetic services.