Naltrexone Compared With Buprenorphine or Methadone in Pregnancy: A Systematic Review.

OBJECTIVE: Although naltrexone is an evidence-based medication for opioid use disorder (MOUD), few data are available with use in pregnancy. Our objective was to assess outcomes of pregnant individuals with opioid use disorder (OUD) taking naltrexone compared with those taking methadone or buprenorphine. DATA SOURCES: We undertook a systematic review using electronic database search (PubMed, CINAHL, EMBASE, PsycInfo), conference proceedings, and trial registries including ClinicalTrials.gov . METHODS OF STUDY SELECTION: We conducted an electronic search of research articles through May 2023 for randomized controlled trials, prospective cohort, and retrospective cohort studies of naltrexone (oral, implant, or extended release) compared with methadone or buprenorphine (sublingual or extended release) among pregnant individuals with OUD. After double review of all articles, we abstracted obstetric (primary outcome: gestational age at delivery), neonatal (primary outcome: neonatal abstinence syndrome [NAS]), and substance use outcomes. TABULATION, INTEGRATION, AND RESULTS: Five studies met eligibility criteria; four were retrospective cohort studies, and one was a prospective cohort study. Four studies included data on gestational age at delivery (weeks) with no difference detected between the two groups in any study (mean difference ranging -0.20, 95% CI, -1.49-1.09 to 0.8, 95% CI, -0.15 to 1.75). Three studies included data on NAS with all studies detecting a lower risk in the naltrexone group compared with methadone or buprenorphine (relative risk ranging from 0.08, 95% CI, 0.01-1.16 to 0.15, 95% CI, 0.06-0.36). Most studies (four of five) had a moderate or high potential for selection bias primarily driven by small sample size and lack of controlling for confounders. CONCLUSION: Although the evidence base is limited, available data suggest that naltrexone use in pregnancy is a reasonable MOUD option with reassuring perinatal outcomes. To enhance confidence in this conclusion and to assess substance use outcomes, further comparative studies of pregnant people with OUD taking naltrexone and other MOUD types are needed. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, 42017074249.

Consensus pregnancy-related criteria for suicide and unintentional overdoses using a Delphi process.

Suicide and unintentional overdose are leading manners of preventable death during and within a year of pregnancy. Recently, the Utah Maternal Mortality Review Committee (MMRC) developed 10 criteria to guide pregnancy-related classification of these deaths. Our objective was to (1) evaluate if consensus could be reached across experts in maternal mortality review when applying criteria to the determination of pregnancy-relatedness in mock MMRC case evaluation and (2) assess how additional case information shifted participants' determination of pregnancy-relatedness in these mock cases. We used a modified Delphi process to evaluate criteria for pregnancy-related suicides and unintentional overdose. The study team developed base case scenarios to reflect the 10 proposed criteria. Base scenarios varied in timing of death (prenatal or delivery, early postpartum (<6 months), late postpartum (6-12 months)) and level of additional information available (e.g., informant interviews, social media posts). Consensus in favor of a criterion was met when ≥75% of participants identified a case as pregnancy-related in at least 1 scenario. Fifty-eight participants, representing 48 MMRCs, reviewed scenarios. Of 10 proposed criteria, 8 reached consensus. Overall, participants classified 19.4% of base case scenarios as pregnancy-related, which increased to 56.8% with additional information. Pregnancy-related classification changed across timing of death and with availability of additional information (prenatal or delivery 27.7% versus 84.6%; early postpartum 30.0% versus 58.3%; late postpartum 0.0% versus 25.0%, respectively). We identified consensus supporting the application of 8 standardized criteria in MMRC determinations of pregnancy-relatedness among suicide and unintentional overdose deaths.

The CAPNET multi-center data set for child physical abuse: Rationale, methods and scope.

BACKGROUND: The pediatric subspecialty of Child Abuse Pediatrics (CAP) was certified by the American Board of Medical Subspecialties in 2006. Relative to its impact on pediatric health, CAP-focused research has been relatively under-funded. Multi-center networks related to CAP-focused research have made important advances, but have been limited in scope and duration. CAPNET is multi-center network whose mission is to support CAP-focused research. OBJECTIVE: To describe the rationale, development, and scope of the CAPNET research network infrastructure, the CAPNET data registry and associated data resources. METHODS: Based on existing priorities for CAP-focused research, we used consensus building and iterative testing to establish inclusion criteria, common data elements, data quality assurance, and data sharing processes for children with concerns of physical abuse. RESULTS: We describe the rationale, methods and intended scope for the development of the CAPNET research network and data registry. CAPNET is currently abstracting data for children <10 years (120 months) old who undergo sub-specialty evaluation for physical abuse at 10 US pediatric centers (approximately 4000 evaluations/year total) using an online data capture form. Data domains include: demographics; visit timing and providers, medical/social history, presentation, examination findings, laboratory and radiographic testing, diagnoses, outcomes, and data for contact children. We describe the methods and criteria for collecting and validating data which are broadly available to CAP investigators. CONCLUSIONS: CAPNET represents a new data resource for the CAP research community and will increase the quantity and quality of CAP-focused research.

Using Maps to Promote Data-Driven Decision-Making: One Library's Experience in Data Visualization Instruction.

Data play a crucial role in health research, education, and patient care. Initiatives such as Big Data to Knowledge (BD2K) and Precision Medicine point to the increasing focus and value of data use and reuse. As the universe of data continues to grow exponentially, health education needs to provide students with practical hands-on learning sessions that illustrate the multitude of uses for data and statistics. Giving students early exposure to data reuse provides a solid background for the more complex data they may gather later in their education. This column describes how librarians at a general academic library used data dashboards and Tableau in two library sessions to provide students with hands-on experience in data visualization and its role in decision-making.