RESUMO
Genetic counselors (GCs) typically provide short-term counseling and assess patient needs, including the need for ongoing psychosocial support. While some patients may benefit from a referral to a mental health provider (MHP), previous research identified barriers to this process due to patient characteristics, the GC work environment, and MHP availability. Adoption of interprofessional collaborative practice (IPCP), a model where multiple healthcare professionals from diverse training disciplines collaborate to deliver patient care, may mitigate these barriers. Evidence suggests that IPCP both increases patient satisfaction and reduces healthcare spending. Anecdotal evidence suggests that GCs and MHPs may use IPCP in select institutions, but there is limited research examining these relationships. This study aims to characterize the benefits, barriers, and limitations of current IPCP practice between GCs and MHPs. Six semi-structured interviews with GCs and MHPs were completed and analyzed thematically. Four themes emerged: (1) mental health concerns in GC sessions and GC scope of practice; (2) establishing and maintaining IPCP between GCs and MHPs; (3) benefits, barriers, and limitations of IPCP; and (4) next steps to develop future IPCP. The findings suggest that there are varying approaches to IPCP that are influenced by perceptions of provider scope of practice. IPCP may mitigate some previously described referral barriers related to logistics, and the availability of trusted MHPs with knowledge of a GCs specialty, thereby improving patient and provider satisfaction.
RESUMO
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward an Evolvix syntax for general-purpose programming that makes accurate modeling easy for biologists, we observed how names affect C2B quality. To protect learning and coding investments, C2B interfaces require long-term backward compatibility and semantic reproducibility (accurate reproduction of computational meaning from coder-brains to reader-brains by code alone). Semantic reproducibility is often assumed until confusing synonyms degrade modeling in biology to deciphering exercises. We highlight empirical naming priorities from diverse individuals and roles of names in different modes of computing to show how naming easily becomes impossibly difficult. We present the Evolvix BEST (Brief, Explicit, Summarizing, Technical) Names concept for reducing naming priority conflicts, test it on a real challenge by naming subfolders for the Project Organization Stabilizing Tool system, and provide naming questionnaires designed to facilitate C2B debugging by improving names used as keywords in a stabilizing programming language. Our experiences inspired us to develop Evolvix using a flipped programming language design approach with some unexpected features and BEST Names at its core.
