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Addressing the need for genetic cancer risk assessment in Mexico: From establishment of a formal program to delivery innovation and expansion. | LitMetric

AI Article Synopsis

  • - The manuscript describes the development of an oncogenetics program in Mexico, highlighting its transition from in-person services to a mixed model incorporating telemedicine for broader outreach.
  • - In total, 2222 participants were involved, with a majority being women; most received research genetic testing, and results were communicated through various methods including phone and in-person meetings.
  • - The study concludes that genetic cancer risk assessment is achievable even in resource-limited settings, and emphasizes the effectiveness of telemedicine in healthcare, suggesting the model could be replicated in similar contexts globally.

Article Abstract

Purpose: The purpose of this manuscript is to show the process of the establishment and adaptation of an oncogenetics program in Mexico.

Methods: The oncogentics program at the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán was established as a traditional in-person service and adapted to include telemedicine counseling to expand services to other hospitals and persists as a mixed counseling model with research/commercial genetic testing.

Results: A total of 2222 participants were included with a median age of 47 years and 77.6% were women; 64% and 36% were enrolled in person and by phone, respectively; 91.1% had research testing, 4.7% commercial testing, 2% complementary pharma testing, and 2.1% had more than 1 testing. Results disclosure was by phone for 49.6%, in person for 43.3%, and by videocall for 7.1% of the cases. Cascade testing proportion was similar in both groups (88%), and 14.8% probands and 40.8% family members had a positive result for a pathogenic cancer susceptibility gene variant.

Conclusion: Our results demonstrated that genetic cancer risk assessment is feasible in limited resources settings and provide evidence that telemedicine is effective and can be used as an alternative in real-world populations. Our model could be adapted and potentially replicated in other institutions and countries that face similar barriers for health care.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11658543PMC
http://dx.doi.org/10.1016/j.gimo.2024.101874DOI Listing

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