Use of Medications for Opioid Use Disorder and Child Welfare Outcomes.

This cohort study investigates whether use of medications for opioid use disorder in pregnancy is associated with higher rates of infants discharge home with their mothers after birth.

Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants.

OBJECTIVE: Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record data. METHODS: We developed phenotype algorithms for the identification of opioid-exposed infants among a population of birthing person-infant dyads from an academic health care system (2010-2022). We derived phenotype algorithms from combinations of 6 unique indicators of in utero opioid exposure, including those from the infant record (NOWS or opioid-exposure diagnosis, positive toxicology) and birthing person record (opioid use disorder diagnosis, opioid drug exposure record, opioid listed on medication reconciliation, positive toxicology). We determined the positive predictive value (PPV) and 95% confidence interval for each phenotype algorithm using medical record review as the gold standard. RESULTS: Among 41 047 dyads meeting exclusion criteria, we identified 1558 infants (3.80%) with evidence of at least 1 indicator for opioid exposure and 32 (0.08%) meeting all 6 indicators of the phenotype algorithm. Among the sample of dyads randomly selected for review (n = 600), the PPV for the phenotype requiring only a single indicator was 95.4% (confidence interval: 93.3-96.8) with varying PPVs for the other phenotype algorithms derived from a combination of infant and birthing person indicators (PPV range: 95.4-100.0). CONCLUSIONS: Opioid-exposed infants can be accurately identified using electronic health record data. Our publicly available phenotype algorithms can be used to conduct research examining outcomes among opioid-exposed infants with and without NOWS.

"The Problem's Bigger than We Are": Understanding How Local Factors Influence Child Welfare Responses to Substance Use in Pregnancy, A Qualitative Study.

State eligibility for certain federal child welfare funding requires a gubernatorial assurance that infants affected by substances receive plans of safe care (POSC). We conducted 18 interviews with state and county child welfare staff to understand how POSC has been implemented and found variability in practice driven by vague policy, challenges of cross-system collaboration, and a lack of knowledge about substance use disorder. Policy improvements should align requirements with POSC practice and create shared accountability with key partners.

The strength of our stories: a qualitative analysis of a multi-institutional GME storytelling event.

Context: Storytelling is a powerful tool for encouraging reflection and connection among both speakers and listeners. While growing in popularity, studying the benefits of formal oral storytelling events within graduate medical education remains rare. Our research question was: could an oral storytelling event for GME trainees and faculty be an effective approach for promoting well-being and resilience among participants?Methods: We used multiple approaches to gather perspectives from physician participants (storytellers and audience members) at an annual oral storytelling event for residents, fellows, and faculty from seven academic health systems in Minnesota. Data sources included short reflections written by participants during the event, an immediate post-event survey exploring participants' experiences during the event, social media postings, and targeted follow-up interviews further exploring the themes of connection and burnout that were raised in post-event survey responses. We performed a qualitative analysis using both deductive and inductive coding to identify themes.Results: There were 334 participants, including 197 physicians. At the event, 129 real-time written reflections were collected. There were also 33 Twitter posts related to the event. Response rate for the post-event survey was 65% for physicians, with 63% of physician respondents volunteering for targeted follow-up interviews. Of those, 38% completed the follow-up interview. Themes that emerged from the multi-modal qualitative analysis included a sense of connection and community, re-connection with meaning and purpose in work, renewal and hope, gratitude, and potential impact on burnout.Conclusion: The large turnout and themes identified show how an oral storytelling event can be a powerful tool to build community in graduate medical education. Qualitative analysis from multiple sources obtained both in real-time at the event and upon deeper reflection afterwards showed the event positively impacted the well-being of participants and that oral storytelling events can be an effective approach for promoting resilience in GME.

Debunking three rape myths.

BACKGROUND: Stereotypes and prejudicial misconceptions are prevalent regarding sexual assaults and victims' responses. These are collectively referred to as rape myths. This study examines three rape myths purporting that sexual assault victims (1) immediately report the crime, (2) experience severe physical and/or anogenital injuries, and (3) forcefully resist their assailant. STUDY DESIGN: This is a cross-sectional descriptive study examining presence of physical or anogenital injury, level of physical resistance during a sexual assault, and time to sexual assault report. Study subjects were female sexual assault victims examined by a sexual assault nurse examiner at Regions Hospital in St. Paul, Minnesota, in 2011 and 2012. RESULTS: Sexual assault nurse examiner reports for 317 subjects met the inclusion criteria and were reviewed. Twelve (4%) victims experienced physical injury requiring medical intervention. Thirty-four (11%) sustained anogenital injuries requiring medical intervention. Overall, 253 (81%) victims did not actively resist at some point during the assault, with 178 (57%) victims never actively resisting. Nearly half (129, 43%) did not appear in the emergency department for 12 or more hours from the time of the assault. CONCLUSION: Women who seek emergency department assistance after a sexual assault take a variable amount of time to present to the emergency department, rarely experience moderate or severe physical or anogenital injury, and commonly do not exert strong physical resistance against their attacker during at least part of the assault.