Prenatal Vaccination Patterns among Birthing Individuals with History of Preterm Birth in the Pre- and Post-COVID Era.

OBJECTIVE: This study aims to explore vaccination acceptance among individuals with a history of preterm birth between March and June during the pre-COVID (2019), early-COVID (2020), and late-COVID (2021) periods. STUDY DESIGN: This is a cross-sectional, retrospective cohort study of pregnant individuals with a history of preterm birth (<37 weeks' gestation) who initiated care of a subsequent pregnancy during pre-COVID (March-June 2019), early-COVID (March-June 2020), or late-COVID (March-June 2021). The primary outcome of interest was vaccination status for influenza, Tdap, and COVID-19 vaccines. Fisher's exact and chi-square tests were used to investigate association between vaccination status and time periods, race/ethnicity, and insurance. RESULTS: Among 293 pregnancies, influenza vaccination rate was highest in early-COVID (p < 0.05). There was no statistically significant difference in Tdap or COVID-19 vaccination between time periods. COVID-19 vaccination was highest in individuals with private insurance (p < 0.05). There was no statistically significant difference in vaccination status by race/ethnicity. CONCLUSION: In this study on high-risk pregnant individuals, the majority of our cohort remained unvaccinated against COVID-19 into the late-COVID period. Additionally, their influenza vaccination rates were greater than the national average in early-COVID and substantially lower than the national average in late-COVID. This shift in influenza vaccination acceptance may have been sparked by COVID-19 vaccine distribution beginning in January 2021 leading to overall vaccination hesitancy. Standardized guidelines and counseling concerning prenatal safety in recommended immunizations may serve as important tools of reassurance and health promotion. KEY POINTS: · Maternal infections during pregnancy are a risk factor for preterm birth.. · High-risk cohort had low influenza vaccination post-COVID possibly due to COVID-19 vaccine hesitancy.. · Vaccination education may be a uniquely important tool among high-risk pregnant patients..

Implementation of a validated post-operative opioid nomogram into clinical gynecologic surgery practice: A quality improvement initiative.

Objectives: The Gynecologic Oncology Postoperative Opioid use Predictive (GO-POP) calculator is a validated tool to provide evidence-based guidance on post-operative opioid prescribing. The objective of this study was to evaluate the impact of the implementation of GO-POP within an academic Gynecologic Oncology division. Methods: Two cohorts of patients (pre-implementation and post-implementation) who underwent surgery were compared with reference to GO-POP calculator implementation. All patients were included in the post-implementation group, regardless of GO-POP calculator use. An additional expanded-implementation cohort was used to compare pain control between GO-POP users and non-GO-POP users prospectively. Wilcoxon rank sum tests or ANOVA for continuous variables and Chi-square or Fisher's exact tests were used to categorical variables. Results: The median number of pills prescribed post-operatively decreased from 15 pills (Q1: 10, Q3: 20) to 10 pills (Q1: 8, Q3: 14.8) after implementation (p < 0.001). In the expanded-implementation cohort (293 patients), 41% patients were prescribed opioids using the GO-POP calculator. An overall median of 10 pills were prescribed with no difference by GO-POP calculator use (p = 0.26). Within the expanded-implementation cohort, refill requests (5% vs 9.2%; p = 0.26), clinician visits (0.8% vs 0.6%, p = 1), ED or urgent care visits (0% vs 2.3%, p = 0.15) and readmissions (0% vs 1.7%, p = 0.27) for pain did not differ between those prescribed opioids with and without the GO-POP calculator. Conclusions: A 33% reduction in post-operative opioid pills prescribed was seen following implementation of the GO-POP calculator into the Gynecologic Oncology division without increasing post-operative pain metrics or encounters for refill requests.