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Objective: To demonstrate the association between increases in labor and delivery unit census and delays in patient care decisions using a computer simulation module.Methods: This was an observational cohort study of labor and delivery unit nurse managers. We developed a computer module that simulates the physical layout and clinical activity of the labor and delivery unit at our tertiary care academic medical center, in which players act as clinical managers in dynamically allocating nursing staff and beds as patients arrive, progress in labor, and undergo procedures. We exposed nurse managers to variation in patient census and measured the delays in resource decisions over the course of a simulated shift. We used mixed logistic and linear regression models to analyze the associations between patient census and delays in patient care.Results: Thirteen nurse managers participated in the study and completed 17 12-hour shifts, or 204 simulated hours of decision-making. All participants reported the simulation module reflected their real-life experiences at least somewhat well. We observed 1.47-increased odds (95% CI 1.18-1.82) of recommending a patient ambulate in early labor for every additional patient on the labor and delivery unit. For every additional patient on the labor and delivery unit, there was a 15.9-minute delay between delivery and transfer to the postpartum unit (95% CI 2.4-29.3). For every additional patient in the waiting room, we observed a 33.3-minute delay in the time patients spent in the waiting room (95% CI 23.2-43.5) and a 14.3-minute delay in moving a patient in need of a cesarean delivery to the operating room (95% CI 2.8-25.8).Conclusion: Increasing labor and delivery unit census is associated with patient care delays in a computer simulation. Computer simulation is a feasible and valid method of demonstrating the sensitivity of care decisions to shifts in patient volume. [ABSTRACT FROM AUTHOR]

Objective: To evaluate risk factors associated with maternal bacteremia in febrile peripartum women.Methods: We performed a case-control study of women with fevers occurring between 7 days before and up to 42 days after delivery of viable neonates at two academic hospitals. Women with positive blood cultures were matched with the next two febrile women meeting inclusion criteria with negative blood cultures in the microbiology data without other matching parameters. We compared maternal and neonatal characteristics and outcomes between women in the case group and those in the control group with univariate analysis. We then used logistic regression to examine the association between clinical characteristics and maternal bacteremia.Results: After excluding blood cultures positive only for contaminants, we compared 115 women in the case group with 285 in the control group. Bacteremic women were more likely to experience their initial fever during labor (40.9% compared with 22.8%, P<.01) and more likely to have fever at or above 102°F (62.6% compared with 31.6%, P<.01). These associations persisted in the adjusted analysis: multiparity (adjusted odds ratio [OR] 1.75, 95% CI 1.07-2.87), initial fever during labor (adjusted OR 2.82, 95% CI 1.70-4.70), and fever at or above 102°F (adjusted OR 3.83, 95% CI 2.37-6.19). In an analysis restricted to neonates whose mothers had initial fevers before or in the immediate 24 hours after delivery, neonates born to women in the case group had higher rates of bacteremia compared with those born to women in the control group (9.0% compared with 1.3%, P<.01). Eight of the nine bacteremic neonates born to bacteremic mothers (89%) grew the same organism as his or her mother in blood culture.Conclusion: Maternal bacteremia is associated with multiparity, initial fever during labor, and fever at or above 102°F; however, 37.5% of cases of bacteremia occurred in women with maximum fevers below this threshold. Obstetricians should maintain a heightened suspicion for an infectious source of fever in women with these clinical characteristics. [ABSTRACT FROM AUTHOR]

Objective: To measure what patients with Spanish language preference and limited English proficiency value most when selecting a prenatal care clinician., Methods: A discrete choice experiment was administered at two large academic medical centers in Boston, Massachusetts. Participants were identified by electronic medical record, had preferred Spanish language and self-identified limited English proficiency, and either were pregnant with a completed fetal anatomy scan or had given birth within the past 12 months at the time of the study. The discrete choice experiment consisted of eight attributes to consider when selecting a prenatal care clinician: clinician Spanish proficiency, type of interpreter used, interpersonal dynamics (ie, making patients feel seen, heard, and cared for), cultural concordance, continuity of care, shared decision making, distance from home, and wait times for appointments. Descriptive statistics of demographic variables were calculated. Hierarchical Bayesian models were used to analyze discrete choice experiment data., Results: The attributes that were most important to 166 participants when choosing their prenatal care clinician were interpersonal dynamics within the patient-clinician dyad and clinician Spanish language proficiency (average importance 21.4/100 and 20.8/100, respectively). Of lowest importance were wait time to receive an appointment and continuity of care (average importance 5.1 and 6.1, respectively). Although participants highly preferred that their clinician be "fluent or near fluent in Spanish," the second most preferred option was having a clinician with only basic Spanish proficiency rather than a more advanced level of Spanish proficiency with some misunderstandings., Conclusion: Our study demonstrates the importance of positive clinician-patient interpersonal dynamics and language-concordant care for patients with Spanish language preference in prenatal care. Promoting equitable patient-centered care for patients with limited English proficiency requires responding to preferences regarding clinician language proficiency and demonstrating attentiveness, empathy, and concern for prenatal care experiences., Competing Interests: Financial Disclosure Michele R. Hacker disclosed that her institution received funding from the NIH, Breast Cancer Research Foundation, and the Marriott Foundation. Elysia Larson disclosed that her institution received funding from NIMHD (1R01MD016026), NIMH (1K01MH133966), and CARE USA. Her institution also received funding from Harvard University through the Eleanor and Miles Shore Faculty Development Award. She has been a consultant to the World Bank for projects unrelated to the current submission. The other authors did not report any potential conflicts of interest., (Copyright © 2024 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)