American Society of Clinical Oncology Summit on Addressing Obesity Through Multidisciplinary Provider Collaboration: Key Findings and Recommendations for Action

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139117/1/oby21987.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139117/2/oby21987_am.pd

Sexual Orientation and Gender Identity Data Collection in Oncology Practice: Findings of an ASCO Survey

PURPOSE: Lack of collection of sexual orientation and gender identity (SOGI) data in oncology practices limits assessment of sexual and gender minority (SGM) cancer patients\u27 experiences and restricts opportunities to improve health outcomes of SGM patients. Despite national calls for routine SOGI data collection, individual-level and institutional barriers hinder progress. This study aimed to identify these barriers in oncology. METHODS: An online survey of ASCO members and others assessed SOGI data collection in oncology practices, institutional characteristics related to SOGI data collection, respondents\u27 attitudes about SOGI data and SGM patients, and respondent demographics. Logistic regression calculated adjusted odds ratios (ORs) and 95% CIs for factors associated with sexual orientation (SO) and gender identity (GI) data collection. RESULTS: Less than half of 257 respondents reported institutional SO and GI data collection (40% and 46%, respectively), whereas over a third reported no institutional data collection (34% and 32%, respectively) and the remainder were unsure (21% and 17%, respectively). Most respondents felt that knowing both SO and GI was important for quality care (77% and 85%, respectively). Collection of SO and GI was significantly associated in separate models with leadership support (ORs = 8.01 and 6.02, respectively), having resources for SOGI data collection (ORs = 10.6 and 18.7, respectively), and respondents\u27 belief that knowing patient SO and GI is important (ORs = 4.28 and 2.76, respectively). Themes from qualitative comments mirrored the key factors identified in our quantitative analysis. CONCLUSION: Three self-reinforcing factors emerged as critical drivers for collecting SOGI data: leadership support, dedicated resources, and individual respondents\u27 attitudes. Policy mandates, implementation science, and clinical reimbursement are strategies to advance meaningful data collection and use in clinical practice

Genomics and the origin of species

Speciation is a fundamental evolutionary process, the knowledge of which is crucial for understanding the origins of biodiversity. Genomic approaches are an increasingly important aspect of this research field. We review current understanding of genome-wide effects of accumulating reproductive isolation and of genomic properties that influence the process of speciation. Building on this work, we identify emergent trends and gaps in our understanding, propose new approaches to more fully integrate genomics into speciation research, translate speciation theory into hypotheses that are testable using genomic tools and provide an integrative definition of the field of speciation genomics