This Committee Statement provides evidence-informed, person-centered guidance to optimize the identification, evaluation, management, and removal of deep and nonpalpable contraceptive implants. This guidance applies to clinicians removing the implants themselves or facilitating timely referral for removal. Appropriate referral includes a Center of Experience in the U.S. or similar tertiary experts outside the U.S. We discuss preventing the need for deep and nonpalpable implant removal by following proper subdermal placement techniques. When approaching removal of deep and nonpalpable implants, we recommend following a standardized protocol that addresses localization, positioning, marking the contraceptive implant location and measuring the depth, the necessary instruments, and removal techniques. When removing multi-rod contraceptive implants, we recommend that clinicians confirm both the number and location of the rods and adjust their removal approach accordingly. Finally, we discuss using the most appropriate diagnostic and procedural codes for deep or nonpalpable contraceptive implant removal services.

Digital platforms have become primary spaces where people encounter and engage with information about contraception, abortion and other reproductive health topics. Researchers have increasingly turned to these platforms to study health-related discourse, yet the methodological and interpretive challenges of this work are substantial. This commentary examines methodological, interpretive, and translational challenges arising across the digital platform research pipeline. Key challenges include data access limitations imposed by platform corporations, the difficulty of achieving or confirming representation within algorithmically personalized environments, temporal instability of platform content, and the growing use of multimodal data. Beyond data collection, significant interpretive concerns arise from unclear denominators, platform engagement metrics that are not comparable across platforms, the absence of user-level demographic information, and the increasing presence of non-human and AI-generated content. Finally, there exists a translational gap between platform-derived endpoints and clinically meaningful outcomes, with the inherent lag in traditional publication cycles further diminishing the relevance of study findings. Ultimately, a more rigorous methodological foundation and focus on more than simply descriptive, cross-sectional studies would improve both the scientific rigor and translational value of digital platform research in reproductive health.