Contraceptive content shared on social media: an analysis of Twitter.

Background: Information on social media may affect peoples' contraceptive decision making. We performed an exploratory analysis of contraceptive content on Twitter (recently renamed X), a popular social media platform.

Methods: We selected a random subset of 1% of publicly available, English-language tweets related to reversible, prescription contraceptive methods posted between January 2014 and December 2019.

An assessment of postpartum contraception rates with evolving care during the COVID-19 pandemic.

Objective: The COVID-19 pandemic presented new care delivery obstacles in the form of scheduling procedures and safe presentation to in-person visits. Contraception provision is an indispensable component of postpartum care that was not immune to these challenges. Given the barriers to care during the initial months of the pandemic, we sought to examine how postpartum contraception, sterilization, and visit attendance were affected during this period.

Reproductive Justice: A Case-Based, Interactive Curriculum.

Introduction: Reproductive injustices such as forced sterilization, preventable maternal morbidity and mortality, restricted access to family planning services, and policy-driven environmental violence undermine reproductive autonomy and health outcomes, with disproportionate impact on historically marginalized communities. However, curricula focused on reproductive justice (RJ) are lacking in medical education.

Methods: We designed a novel, interactive, case-based RJ curriculum for postclerkship medical students.

Language Preference and Risk of Primary Cesarean Delivery: A Retrospective Cohort Study.

Objectives: While some medical indications for cesarean delivery are clear, subjective provider and patient factors contribute to the rising cesarean delivery rates and marked disparities between racial/ethnic groups. We aimed to determine the association between language preference and risk of primary cesarean delivery.

Methods: We conducted a retrospective cohort study of nulliparous, term, singleton, vertex (NTSV) deliveries of patients over 18 years old from 2011-2016 at an academic medical center, supplemented with data from the Massachusetts Department of Public Health.

Population attitudes toward contraceptive methods over time on a social media platform.

Background: Contraceptive method choice is often strongly influenced by the experiences and opinions of one's social network. Although social media, including Twitter, increasingly influences reproductive-age individuals, discussion of contraception in this setting has yet to be characterized. Natural language processing, a type of machine learning in which computers analyze natural language data, enables this analysis.

Safety considerations in the epilepsy monitoring unit for psychogenic nonepileptic seizures.

Injury occurs in epilepsy monitoring units (EMUs) to patients with epileptic seizures (ES); however, there are limited data regarding the safety concerns of patients with psychogenic nonepileptic seizures (PNES) being monitored in EMUs. We reviewed EMU records from 116 PNES and compared them to 170 ES. Three falls (2.

Improving safety outcomes in the epilepsy monitoring unit.

Long term video electroencephalography (EEG) in epilepsy monitoring units (EMU) is used to diagnose and treat patients with epilepsy. Injury occurs in the EMU, including reports of death. No standardized patient safety protocols exist.