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. We oversampled tweets for the contraceptive patch to ensure at least 200 tweets per method. To create the codebook, we identified common themes specific to tweet content topics, tweet sources, and tweets soliciting information or providing advice. All posts were coded by two team members, and differences were adjudicated by a third reviewer. Descriptive analyses were reported with accompanying qualitative findings. RESULTS: During the study period, 457,369 tweets about reversible contraceptive methods were published, with a random sample of 4,434 tweets used for final analysis. Tweets most frequently discussed contraceptive method decision-making (26.7%) and side effects (20.5%), particularly for long-acting reversible contraceptive methods and the depot medroxyprogesterone acetate shot. Tweets about logistics of use or adherence were common for short-acting reversible contraceptives. Tweets were frequently posted by contraceptive consumers (50.6%). A small proportion of tweets explicitly requested information (6.2%) or provided advice (4.2%). CONCLUSIONS: Clinicians should be aware that individuals are exposed to information through Twitter that may affect contraceptive perceptions and decision making, particularly regarding long-acting reversible contraceptives. Social media is a valuable source for studying contraceptive beliefs missing in traditional health research and may be used by professionals to disseminate accurate contraceptive information.

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. This curriculum was created using published guidelines on best practices for incorporating RJ in medical education. The session included a prerecorded video on the history of RJ, an article, and four interactive cases. Students engaged in a 2-hour small-group session, discussing key learning points of each case. We evaluated the curriculum's impact with a pre- and postsurvey and focus group. Results: Sixty-eight students participated in this RJ curriculum in October 2020 and March 2021. Forty-one percent of them completed the presurvey, and 46% completed the postsurvey. Twenty-two percent completed both surveys. Ninety percent of respondents agreed that RJ was relevant to their future practice, and 87% agreed that participating in this session would impact their clinical practice. Most respondents (81%) agreed that more RJ content is needed. Focus group participants appreciated the case-based, interactive format and the intersectionality within the cases. Discussion: This interactive curriculum is an innovative and effective way to teach medical students about RJ and its relevance to clinical practice. Walking alongside patients as they accessed reproductive health care in a case-based curriculum improved students' comfort and self-reported knowledge on several RJ topics.

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. We used modified Poisson regression with robust error variance to calculate risk ratios for cesarean delivery between patients with English language preference and other language preference, with secondary outcomes of Apgar score, maternal readmission, blood transfusion, and NICU admission. RESULTS: Of the 11,298 patients included, 10.3% reported a preferred language other than English, including Mandarin and Cantonese (61.7%), Portuguese (9.7%), and Spanish (7.5%). The adjusted risk ratio for cesarean delivery among patients with a language preference other than English was 0.85 (95% CI 0.72-0.997; p = 0.046) compared to patients with English language preference. No significant differences in risk of secondary outcomes between English and other language preference were found. DISCUSSION: After adjusting for confounders, this analysis demonstrates a decreased risk of cesarean delivery among women who do not have an English language preference at one institution. This disparity in cesarean delivery rates in an NTSV population warrants future research, raising the question of what clinical and social factors may be contributing to these lower cesarean delivery rates.

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. OBJECTIVE: This study aimed to illuminate temporal trends in attitudes toward long- and short-acting reversible contraceptive methods in tweets between 2006 and 2019 and establish social media platforms as alternate data sources for large-scale sentiment analysis on contraception. STUDY DESIGN: We studied English-language tweets mentioning reversible prescription contraceptive methods between March 2006 (founding of Twitter) and December 2019. Tweets mentioning contraception were extracted using search terms, including generic or brand names, colloquial names, and abbreviations. We characterized and performed sentiment analysis on tweets. We used Mann-Kendall nonparametric tests to assess temporal trends in the overall number and the number of positive, negative, and neutral tweets referring to each method. The code to reproduce this analysis is available at https://github.com/hms-dbmi/contraceptionOnTwitter. RESULTS: We extracted 838,739 tweets mentioning at least 1 contraceptive method. The annual number of contraception-related tweets increased considerably over the study period. The intrauterine device was the most commonly referenced method (45.9%). Long-acting methods were mentioned more often than short-acting ones (58% vs 42%), and the annual proportion of long-acting reversible contraception-related tweets increased over time. In sentiment analysis of tweets mentioning a single contraceptive method (n=665,064), the greatest proportion of all tweets was negative (65,339 of 160,713 tweets with at least 95% confident sentiment, or 40.66%). Tweets mentioning long-acting methods were nearly twice as likely to be positive compared with tweets mentioning short-acting methods (19.65% vs 10.21%; P<.002). CONCLUSION: Recognizing the influence of social networks on contraceptive decision making, social media platforms may be useful in the collection and dissemination of information about contraception.