Publications by authors named "Ricardo E Flores Ortega"

Introduction: Children, adolescent, and young adult cancer survivors experience overall increased risks of infertility that are preventable through effective fertility preservation services prior to starting cancer treatment. Oncofertility care is the evidence-based practice of informing newly diagnosed cancer patients about their reproductive risks and supporting shared decision-making on fertility preservation services. Despite longstanding clinical guidelines, oncofertility care delivery continues to be limited and highly variable across adult and pediatric oncology settings.

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Introduction: From diagnosis to post-treatment, many young breast cancer survivors (YBCS) experience infertility, limited contraception choices, concern about pregnancy safety, and menopausal symptoms. Clinical guidelines recommend oncofertility care (counseling and/or clinical services that meet fertility, contraception, pregnancy health and/or menopausal symptom management needs) throughout the cancer care continuum. However, significant oncofertility care gaps exist in rural, community oncology settings.

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Importance: Multiple US states recently passed laws mandating health insurance coverage for fertility preservation (FP) services to improve access to care for patients with cancer, for whom FP service expenses can be prohibitive. Key unanswered questions include how heterogeneous benefit mandate laws and regulations are and how this variation may affect implementation, access, and utilization.

Objective: To describe the design of state-level FP health insurance benefit mandate laws and regulations and derive guidance on best practices and implementation needs.

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Background: Recent reports indicated declines in hepatitis C virus (HCV) testing during the first half of 2020 in the United States due to coronavirus disease 2019 (COVID-19), but the longer-term impact on HCV testing and treatment is unclear.

Methods: We obtained monthly state-level volumes of HCV antibody, RNA and genotype testing, and HCV treatment initiation, stratified by age and gender, spanning January 2019 until December 2020 from 2 large national laboratories. We performed segmented regression analysis for each state from a mixed-effects Poisson regression model with month as the main fixed predictor and state as a random intercept.

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