Search

As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. However, the computational skills needed to collect, manipulate, and evaluate data have not always been a focus of educational programs, and the increasing interest in “data science” suggest that data literacy has become paramount to ensure valid estimation. In this article, we first motivate such practical concerns for the modern epidemiology student, particularly as it relates to challenges in causal inference; second, we discuss how such concerns may be manifested in typical epidemiological analyses and identify the potential for bias; third, we present a case study that exemplifies the entire process; and finally, we draw attention to resources that can help epidemiology students connect the theoretical underpinning of the science to the practical considerations as described herein.

Introduction: We assessed awareness of pre-exposure prophylaxis (PrEP) among HIV-negative Black and Latinx persons living in the Philadelphia Metropolitan Statistical Area. Methods: Using chi-square and Wilcoxon rank-sum tests, we analyzed data from the 2016 heterosexual cycle of the National HIV Behavioral Surveillance system to assess how sociodemographic factors, health care utilization, and risk behaviors affected PrEP awareness. Results: Participants (n = 472) were predominately Black, non-Hispanic (88.1%) with a median age of 41.5 years. Most participants reported having a usual source of medical care (92.1%) and seeing a medical provider within 12 months (87.0%). However, PrEP awareness was low in this sample (4.9%) and was lower among those who had a medical visit compared with those who had not ( P < .01). Conclusion: Current Centers for Disease Control and Prevention clinical guidelines suggest that providers counsel high-risk patients about PrEP. Our data suggest that this is not happening with people of color in Philadelphia. Interventions targeting medical providers working with HIV-risk people of color may be appropriate.

Objectives. To examine inequities in conversion practice exposure across intersections of ethnoracial groups and gender identity in the United States. Methods. Data were obtained from The Population Research in Identity and Disparities for Equality Study of sexual and gender minority people from 2019 to 2021 (n = 9274). We considered 3 outcomes: lifetime exposure, age of first exposure, and period between first and last exposure among those exposed to conversion practices. We used log-binomial, Cox proportional hazards, and negative binomial models to examine inequities by ethnoracial groups and gender identity adjusting for confounders. We considered additive interaction. Results. Conversion practice prevalence was highest among minoritized ethnoracial transgender and nonbinary participants (TNB; 8.6%). Compared with White cisgender participants, minoritized ethnoracial TNB participants had twice the prevalence (prevalence ratio = 2.16; 95% confidence interval [CI] = 1.62, 2.86) and risk (hazard ratio = 2.04; 95% CI = 1.51, 2.69) of conversion practice exposure. Furthermore, there was evidence of a positive additive interaction for age of first exposure. Conclusions. Minoritized ethnoracial TNB participants were most likely to recall experiencing conversion practices. Public Health Implications. Policies banning conversion practices may reduce the disproportionate burden experienced by minoritized ethnoracial TNB participants. ( Am J Public Health. 2024;114(4):424-434. https://doi.org/10.2105/AJPH.2024.307580).