Improving Care Beyond Birth: A Qualitative Study of Postpartum Care After High-Risk Pregnancy.

Background: The postpartum period is a window to engage birthing people in their long-term health and facilitate connections to comprehensive care. However, postpartum systems often fail to transition high-risk patients from obstetric to primary care. Exploring patient experiences can be helpful for optimizing systems of postpartum care. Methods: This is a qualitative study of high-risk pregnant and postpartum individuals. We conducted in-depth interviews with 20 high-risk pregnant or postpartum people. Interviews explored personal experiences of postpartum care planning, coordination of care between providers, and patients' perception of ideal care transitions. We performed thematic analysis using the Capability, Opportunity, Motivation, Behavior (COM-B) model of behavior change as a framework. COM-B allowed for a formal structure to assess participants' ability to access postpartum care and primary care reengagement after delivery. Results: Participants universally identified difficulty accessing primary care in the postpartum period, with the most frequently reported barriers being lack of knowledge and supportive environments. Insufficient preparation, inadequate prenatal counseling, and lack of standardized care transitions were the most significant barriers to primary care reengagement. Participants who most successfully engaged in primary care had postpartum care plans, coordination between obstetric and primary care, and access to material resources. Conclusions: High-risk postpartum individuals do not receive effective counseling on the importance of primary care engagement after delivery. System-level challenges and lack of care coordination also hinder access to primary care. Future interventions should include prenatal education on the benefits of primary care follow-up, structured postpartum planning, and system-level improvements in obstetric and primary care provider communication.

Oxaliplatin desensitization for ovarian cancer in pregnancy: A case report.

•Incidence of cancer in pregnancy is rising and successful treatment of these patients requires expert multidisciplinary care.•Platinum hypersensitivity reactions in ovarian cancer are commonly treated with desensitization protocols.•To our knowledge, chemotherapy desensitization in pregnant patients has not been previously reported.•Oxaliplatin desensitization during pregnancy may be safe and feasible.

Decline in Prenatal Buprenorphine/Naloxone Fills during the COVID-19 Pandemic in the United States.

OBJECTIVES: Pregnancy provides a critical opportunity to engage individuals with opioid use disorder in care. However, before the COVID-19 pandemic, there were multiple barriers to accessing buprenorphine/naloxone during pregnancy. Care disruptions during the pandemic may have further exacerbated these existing barriers. To quantify these changes, we examined trends in the number of individuals filling buprenorphine/naloxone prescriptions during the COVID-19 pandemic. METHODS: We estimated an interrupted time series model using linked national pharmacy claims and medical claims data from prepandemic (May 2019 to February 2020) to the pandemic period (April 2020 to December 2020). We estimated changes in the growth rate in the monthly number of individuals filling buprenorphine/naloxone prescriptions in the 6 months preceding a delivery claim, per 100,000 pregnancies, during the COVID-19 pandemic. RESULTS: We identified 2947 pregnant individuals filling buprenorphine/naloxone prescriptions. Before the pandemic, there was positive growth in the monthly number of individuals filling buprenorphine/naloxone prescriptions (4.83%; 95% confidence interval [CI], 3.82-5.84%). During the pandemic, this monthly growth rate declined for both individuals on commercial insurance and individuals on Medicaid (all payers: -5.53% [95% CI, -6.65% to -4.41%]; Medicaid: -7.66% [95% CI, -10.14% to -5.18%]; Commercial: -3.59% [95% CI, -5.32% to -1.87%]). CONCLUSION: The number of pregnant individuals filling buprenorphine/naloxone prescriptions was increasing, but this growth has been lost during the pandemic.

Society for Maternal-Fetal Medicine Special Statement: Utilizing telemedicine to address disparities in maternal-fetal medicine: a call to policy action.

The combination of deserts in maternal-fetal medicine coverage across the United States and the COVID-19 pandemic accelerated the implementation of telemedicine programs for maternal-fetal medicine care delivery. Although telemedicine-based care has the potential to facilitate timely access to maternal-fetal medicine services, which can improve maternal and neonatal outcomes, telemedicine is a relatively novel healthcare modality that needs to be implemented strategically. As with any medical service, telemedicine care requires rigorous evaluation to assess outcomes and ensure quality. Important health policy considerations, including access to services and insurance coverage, have substantial implications for equity in the implementation of telemedicine, particularly for reproductive healthcare following the 2022 United States Supreme Court decision in Dobbs v Jackson Women's Health Organization that overturned the constitutional right to an abortion. Investing resources and advocating for a rigorous, widely accessible telemedicine infrastructure at this crucial moment will establish an important foundation for more equitable pregnancy care. Key advocacy priorities for maternal-fetal medicine telemedicine include (1) expanding insurance coverage of telemedicine across payers, regardless of geographic location; (2) advocating for interstate licensure parity; (3) increasing access to affordable Internet and digital literacy training; and (4) ensuring access to reproductive healthcare, including abortion care, delivered via telemedicine.

Mobilizing the fourth trimester to improve population health: interventions for postpartum transitions of care.

Birthing people in the United States, particularly those from marginalized communities, experience an unexpectedly high rate of morbidity and mortality. Optimal postpartum care is an opportunity to address immediate maternal health concerns while providing a connection to further high-value primary care. However, postpartum care in the United States is fragmented and incomplete. In response to this failure, the American College of Obstetricians and Gynecologists has called for obstetricians to develop individualized care plans that facilitate transitions from obstetrical to primary care after delivery. In this clinical opinion, we review previous interventions that have aimed to increase postpartum care engagement and bridge gaps in care. Although numerous interventions have been trialed, few have been both successful and scalable. We provide recommendations on ways to reimagine equitable and effective postpartum care interventions with multidisciplinary collaboration.

Self-monitoring of blood pressure among women with hypertensive disorders of pregnancy: a systematic review.

BACKGROUND: The World Health Organization (WHO) recommends self-monitoring of blood pressure (SMBP) for hypertension management. In addition, during the COVID-19 response, WHO guidance also recommends SMBP supported by health workers although more evidence is needed on whether SMBP of pregnant individuals with hypertension (gestational hypertension, chronic hypertension, or pre-eclampsia) may assist in early detection of pre-eclampsia, increase end-user autonomy and empowerment, and reduce health system burden. To expand the evidence base for WHO guideline on self-care interventions, we conducted a systematic review of SMBP during pregnancy on maternal and neonatal outcomes. METHODS: We searched for publications that compared SMBP with clinic-based monitoring during antenatal care. We included studies measuring any of the following outcomes: maternal mortality, pre-eclampsia, long-term risk and complications, autonomy, HELLP syndrome, C-section, antenatal hospital admission, adverse pregnancy outcomes, device-related issues, follow-up care with appropriate management, mental health and well-being, social harms, stillbirth or perinatal death, birthweight/size for gestational age, and Apgar score. After abstract screening and full-text review, we extracted data using standardized forms and summarized findings. We also reviewed studies assessing values and preferences as well as costs of SMBP. RESULTS: We identified 6 studies meeting inclusion criteria for the effectiveness of SMBP, 6 studies on values and preferences, and 1 study on costs. All were from high-income countries. Overall, when comparing SMBP with clinic-monitoring, there was no difference in the risks for most of the outcomes for which data were available, though there was some evidence of increased risk of C-section among pregnant women with chronic hypertension. Most end-users and providers supported SMBP, motivated by ease of use, convenience, self-empowerment and reduced anxiety. One study found SMBP would lower health sector costs. CONCLUSION: Limited evidence suggests that SMBP during pregnancy is feasible and acceptable, and generally associated with maternal and neonatal health outcomes similar to clinic-based monitoring. However, more research is needed in resource-limited settings. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021233839 .

Bridging the postpartum gap: best practices for training of obstetrical patient navigators.

The postpartum period represents a critical window of opportunity to improve maternal short- and long-term health, including optimizing postpartum recovery, providing effective contraception, caring for mood disorders, managing weight, supporting lactation, initiating preventive care, and promoting cardiometabolic health. However, inadequate postpartum care, especially for individuals facing social and structural barriers, is common in the United States and contributes to suboptimal health outcomes with lasting consequences. Patient navigation is a patient-centered intervention that uses trained personnel to identify financial, cultural, logistical, and educational obstacles to effective healthcare and to mitigate these barriers to facilitate comprehensive and timely access to needed health services. Given the emerging evidence suggesting that patient navigation may be a promising method to improve health among postpartum individuals, our team developed a postpartum patient navigator training guide to be used in the Navigating New Motherhood 2 and other obstetrical navigation programs. Navigating New Motherhood 2 is a randomized trial exploring whether patient navigation by a trained, lay postpartum navigator for individuals with a low income can improve health and patient-reported outcomes during and after the postpartum period. Hiring and training patient navigators without health professional degrees are integral components of initiating a navigation program. However, patient navigator training is highly variable, and no guideline regarding key elements in such a training program exists for obstetrics specifically. Thus, this paper aimed to describe the core principles, content, and rationale for each element in a comprehensive postpartum patient navigator training program. Training should be centered around the following 6 core elements: (1) principles of patient navigation; (2) knowledge of pregnancy and postpartum care; (3) health education and health promotion principles; (4) cultural sensitivity and health equity; (5) care coordination and community resources; and (6) electronic medical record systems. These core elements can serve as a basis for the development of adaptable curricula for several institutions and contexts. In addition, we offer recommendations for the implementation of a navigator training program. A curriculum with built-in flexibility to meet community and institutional needs may promote the effective and sustainable use of patient navigation in the postpartum context.

Changes in Delivery Timing for High-Risk Pregnancies in the United States.

OBJECTIVE: This study was aimed to assess whether the "39-week" rule is being extended to high-risk pregnancies and if so whether this has led to changes in neonatal morbidity or stillbirth. STUDY DESIGN: Birth certificate data between 2010 and 2014 from 23 states (55% of births in the United States) were used. Pregnancies were classified as high risk if they had any one of the following: maternal age greater than or equal to 40 years, prepregnancy body mass index (BMI) greater than or equal to 40 kg/m2, chronic (prepregnancy) hypertension, or diabetes (pregestational or gestational). Delivery timing changes for all pregnancies at term (37 weeks or greater) were compared with changes in the high-risk population. Neonatal morbidities (neonatal intensive care unit [NICU] admission, need for assisted ventilation, 5-minute Apgar score, and macrosomia), maternal morbidities (intensive care unit [ICU] admission, cesarean delivery, operative vaginal delivery, chorioamnionitis, and severe perineal laceration), and stillbirth rates were compared across time periods. Multivariate logistic regression was used to analyze whether gestational age-specific morbidity changes were due to shifts in delivery timing. RESULTS: For the overall population, there was a shift in delivery timing between 2010 and 2014, a 2.5% decrease in 38-week deliveries, and a 2.3% increase in 39-week deliveries (p < 0.01). This gestational age shift was identical in the high-risk population (2.7% decrease in 38-week deliveries and 2.9% increase in 39-week deliveries). For the high-risk population, NICU admission increased from 5.4 to 6.3% in 2014 (p < 0.01) and assisted ventilation rates declined from 3.8 to 2.9% (p < 0.01). These changes, however, were independent of changes in delivery timing. There was no increase in the rate of stillbirth (0.23% in 2010 and 0.23% in 2014; p = 0.50). CONCLUSION: There was a significant shift in delivery timing for high-risk pregnancies in the United States between 2010 and 2014. This shift, however, did not result in statistically significant changes in either neonatal morbidity or stillbirth. KEY POINTS: · From 2010 to 2014, term deliveries for high-risk pregnancies shifted towards 39 weeks.. · The shift towards 39 weeks in high-risk pregnancies was not accompanied by any improvement in neonatal morbidity.. · The shift towards 39 weeks in high-risk pregnancies did not result in an increase in the stillbirth rate..

Controversies in Gestational Diabetes.

Gestational diabetes mellitus (GDM) complicates approximately 7% of pregnancies in the USA. Despite recognition of the benefits of diagnosing and treating GDM, there are several areas of controversy that remain unresolved. There is debate as to whether to screen for GDM with the one-step versus the two-step approach. While the former identifies more pregnancies with potential adverse outcomes, data are lacking as to whether treatment of these pregnancies will improve outcomes, while increasing costs by diagnosing more women. Though it is well established that the diagnosis of even mild GDM, and treatment with lifestyle recommendations and insulin, improves pregnancy outcomes, it is controversial as to which type and regimen of insulin is optimal, and whether oral agents can be used safely and effectively to control glucose levels. Finally, it is recommended that women with GDM get tested for type 2 diabetes within several months of delivery; however, many women do not undergo this testing and alternative approaches are needed. These controversies are discussed with data from both sides of the debate to enable clinicians to make patient-centered decisions until more definitive data are available.

A multidisciplinary telemedicine model for management of coronavirus disease 2019 (COVID-19) in obstetrical patients.

Background: The COVID-19 pandemic caused by the SARS-CoV-2 has increased the demand for inpatient healthcare resources; however, approximately 80% of patients with COVID-19 have a mild clinical presentation and can be managed at home. Objective: This study aimed to describe the feasibility and clinical and process outcomes associated with a multidisciplinary telemedicine surveillance model to triage and manage obstetrical patients with known exposures and symptoms of COVID-19. Study Design: We implemented a multidisciplinary telemedicine surveillance model with obstetrical physicians and nurses to standardize ambulatory care for obstetrical patients with confirmed or suspected COVID-19 based on the symptoms or exposures at an urban academic tertiary care center with multiple hospital-affiliated and community-based practices. All pregnant or postpartum patients with COVID-19 symptoms, exposures, or hospitalization were eligible for inclusion in the program. Patients were assessed by means of regular nursing phone calls and were managed according to illness severity. Patient characteristics and clinical and process outcomes were abstracted from the electronic medical record. Results: A total of 135 patients were enrolled in the multidisciplinary telemedicine model from March 17 to April 19, 2020, of whom 130 were pregnant and 5 were recently postpartum. In this study, 116 of 135 patients (86%) were managed solely in the outpatient setting and did not require an in-person evaluation; 9 patients were ultimately admitted after ambulatory or urgent evaluations, and 10 patients were observed after hospital discharge. Although only 50% of the patients were tested secondary to limitations in ambulatory testing, 1 in 3 of those patients received positive results for SARS-CoV-2 (N=22, 16% of entire cohort). Patients were enrolled in the telemedicine model for a median of 7 days (interquartile range, 4-8) and averaged 1 phone call daily, resulting in 891 nursing calls and 20 physician calls over 1 month. Conclusion: A multidisciplinary telemedicine surveillance model for outpatient management of obstetrical patients with COVID-19 symptoms and exposures is feasible and resulted in rates of ambulatory management similar to those seen in nonpregnant patients. A centralized model for telemedicine surveillance of obstetrical patients with COVID-19 symptoms may preserve inpatient resources and prevent avoidable staff and patient exposures, particularly in centers with multiple ambulatory practice settings.

Predictors of very early postpartum weight loss in women with recent gestational diabetes mellitus.

Objective: Women with gestational diabetes (GDM) have a 7-12-fold increased risk for developing type 2 diabetes later in life. Postpartum weight retention is highly predictive for future obesity, and further increases risk for type 2 diabetes. We sought to identify predictors of losing at least 75% of gestational weight gain by very early postpartum in women with recent GDM.Methods: We recruited women with GDM during pregnancy or just after delivery. Prepregnancy weight was self-reported at recruitment; gestational weight gain, mode of delivery, and insulin use were extracted from medical records. At a mean of 7.2 (±2.1) weeks postpartum we measured weight and height and administered questionnaires, including demographics, breastfeeding, Edinburgh Postnatal Depression Scale, sleep, Harvard Food Frequency, and the International Physical Activity Questionnaire. We modeled the odds of 75% loss of gestational weight gain at the study visit using multivariable logistic regression models and selected the model with the lowest Akaike information criterion (AIC) as our final model. Analyses were conducted using JMP 10-13 Pro (SAS Institute Inc.)Results: Seventy-five women with recent GDM were included in the study. The mean age of study participants was 33 (SD ±5) years old, of whom 57% were white, 30% were African American, and 20% of the women identified as Hispanic. The mean prepregnancy BMI was 31.4 kg/m2 (SD ±5.6) and the mean pregnancy weight gain was 12.5 kg (SD ±7.8). Fifty-two percent of participants lost at least 75% of their pregnancy weight gain by the early postpartum study visit. Thirty-seven women (49%) exceeded Institute of Medicine (IOM) guidelines for gestational weight gain. In a multivariate model adjusting for weeks postpartum at the time of the study visit, less gestational weight gain (OR 0.56; 95% CI 0.39-0.73), increased age (OR 1.48; 95% CI 1.13-2.20), and lack of insulin use during pregnancy (OR 0.08 for use of insulin; 95% CI 0.00-0.73) were associated with at least 75% postpartum weight loss. Prepregnancy BMI and sleep were not retained in the model. Race/ethnicity, education, breastfeeding, nulliparity, cesarean section, depressive symptoms, dietary composition, glycemic index, and physical activity did not meet criteria for inclusion in the model.Conclusions: A substantial proportion of women with recent GDM lost at least 75% of their gestational weight gain by early postpartum. Older women, those who did not use insulin during pregnancy and those who gained less weight during pregnancy were significantly more likely to have lost 75% of gestational weight by very early postpartum.

The combined impact of maternal age and body mass index on cumulative live birth following in vitro fertilization.

BACKGROUND: It is critical to evaluate the combined impact of age and body mass index on the cumulative likelihood of live birth following in vitro fertilization, as achieving a lower body mass index before infertility treatment often is recommended for women with overweight and obesity. It is important to consider whether achieving a particular body mass index, thus resulting in an older age at in vitro fertilization cycle start, is beneficial or harmful to the likelihood of live birth. OBJECTIVES: To evaluate the combined impact of age and body mass index on the cumulative live birth rate following in vitro fertilization to inform when delaying in vitro fertilization treatment to achieve a lower body mass index may be beneficial or detrimental to the likelihood of live birth. STUDY DESIGN: This is a retrospective study using linked fresh and cryopreserved/frozen cycles from January 2014 to December 2015 from the Society for Reproductive Technology Clinic Outcome Reporting System, representing >90% of in vitro fertilization cycles performed in the United States. The primary outcome was live birth as measured by cumulative live birth rate. Secondary outcomes included implantation rate, clinical pregnancy rate, and miscarriage rate. Poisson and logistic regression were used to calculate risk and odds ratios with 95% confidence intervals to determine differences in implantation, clinical pregnancy, and miscarriage, as appropriate, among first fresh in vitro fertilization cycles compared across age (years) and body mass index (kg/m2) categories. Cox regression was used to calculate hazard ratios with 95% confidence intervals to determine differences in the cumulative live birth rate using fresh plus linked frozen embryo transfer cycles. RESULTS: There were 51,959 first fresh cycles using autologous eggs and 16,067 subsequent frozen embryo transfer cycles. There were 21,395 live births, for an overall cumulative live birth rate of 41.2% per cycle start. The implantation rate, clinical pregnancy rate, and cumulative live birth rate decreased with increasing body mass index and age, and the miscarriage rate increased with increasing body mass index and age (linear trend P<.001 for all). Body mass index had a greater influence on live birth at younger ages as compared with older ages. CONCLUSIONS: Age-related decline in fertility has a greater impact than body mass index on the cumulative live birth rate at older ages, suggesting that taking time to achieve lower body mass index before in vitro fertilization may be detrimental for older women with overweight or obesity. Delaying conception to lose weight before in vitro fertilization should be informed by the combination of age and body mass index.

Timing of First Milk Expression to Maximize Breastfeeding Continuation Among Mothers of Very Low-Birth-Weight Infants.

OBJECTIVE: To estimate the time of first milk expression among mothers of very low-birth-weight (VLBW, 1,500 g or less) infants that predicts the maximal duration of mother's milk provision during hospitalization in the neonatal intensive care unit (NICU). METHODS: We performed a secondary analysis and studied 1,157 mother-VLBW infant pairs in nine Massachusetts hospitals born from January 2015 until December 2017. We determined the cut-point for timing of first milk expression after delivery that was associated with the highest probability of any and exclusive provision of mother's milk for the infant at NICU discharge or transfer using recursive partitioning. We estimated hazard ratios (HRs) comparing the probability of continued provision of mother's milk during the hospitalization between mothers who initiated milk expression before compared with after the cut-point (within 8 hours after delivery [referent] vs 9-24 hours), adjusting for gestational age, birth weight, maternal race and ethnicity, and clustering by hospital and plurality in Cox proportional hazards models. RESULTS: Sixty-eight percent of mothers first expressed milk within 8 hours after delivery. First milk expression at 9-24 hours was associated with lower odds of any mother's milk provided to the infant on day 7 (adjusted odds ratio [aOR] 0.39 [0.24-0.60]) and discharge or transfer (aOR 0.45 [0.33-0.62]), compared with expression within 8 hours. Findings were similar for exclusive mother's milk. Mothers who first expressed 9-24 hours stopped providing milk earlier in the neonatal hospitalization (adjusted HR 1.64 [1.33-2.01]) compared with mothers who first expressed within 8 hours. CONCLUSION: Using a data-driven approach, we identified that first milk expression within 8 hours was superior to 9-24 hours with respect to maximal duration of provision of mother's milk for hospitalized VLBW infants. Randomized control trials are needed to further establish the causal relationship between timing of first milk expression and long-term lactation success among mothers of VLBW infants.

Association Between Changes in Postpartum Weight and Waist Circumference and Changes in Cardiometabolic Risk Factors Among Women With Recent Gestational Diabetes.

INTRODUCTION: Women with gestational diabetes mellitus (GDM) have a 30% to 70% risk for developing type 2 diabetes and are at increased risk for cardiovascular disease. Little is known about how anthropometric changes in the first postpartum year modify cardiometabolic risk factors. METHODS: We randomly assigned women in the Balance After Baby study to an intervention group consisting of participation in a web-based lifestyle program or to a control group in which no program was offered. We measured weight, height, waist circumference, blood pressure, lipids, insulin, adiponectin, interleukin-6, and high-sensitivity C-reactive protein, and we conducted 2-hour oral glucose tolerance tests at 6 weeks, 6 months, and 12 months postpartum. We evaluated whether women assigned to the intervention had improved cardiometabolic risk markers compared with the control group. We then conducted a post-hoc analysis, pooling the 2 groups to compare changes in weight and waist circumference with changes in cardiometabolic risk factors. RESULTS: Women in the intervention group did not significantly improve cardiometabolic risk markers compared with women in the control group. We noted a large overlap of weight change and change in waist circumference between groups. In our post-hoc analysis pooling groups, changes in diabetes and cardiovascular risk factors were significantly correlated with changes in weight and waist circumference. The strongest associations were observed for fasting insulin, HOMA, and fasting glucose. CONCLUSION: Anthropometric changes in weight and waist circumference in women with recent GDM may affect cardiometabolic risk factors, even in the first postpartum year. Our study demonstrates the importance of the postpartum year as an opportunity to decrease future risk for diabetes and cardiovascular disease in women with a history of GDM.

Online Birth Plans and Anticipatory Guidance: A Critical Review Using Web Analytics and Crowdsourcing.

We assessed the content of online birth plans using Web analytics and crowdsourcing to identify the most commonly accessed online birth plans. We analyzed the first 14 websites of 6 different searches across time. We repeated this search using 200 individuals recruited by a commercial crowdsourcing service. We identified the 12 URLs that appeared most frequently from all searches then categorized the content by relevance to stages of labor or newborn care. Twenty-five different URLs with customizable birth plans were identified by clinical and crowdsourced searches, with considerable overlap. Among the most commonly identified birth plans, we found prompts for outdated practices in a minority (18%-37%). The majority of online birth plans can be positive tools for shared decision making.

Disparities in Care for Publicly Insured Women With Pregestational Diabetes.

OBJECTIVE: To investigate the association among public health insurance, preconception care, and pregnancy outcomes in pregnant women with pregestational diabetes. METHODS: This is a retrospective cohort of pregnant women with pregestational type 1 or type 2 diabetes from 2006 to 2011 in Massachusetts-a state with universal insurance coverage since 2006. Women delivering after 24 weeks of gestation and receiving endocrinology and obstetric care in a multidisciplinary clinic were included. Rates of preconception consultation, our primary outcome of interest, were then compared between publicly and privately insured women. We used univariate analysis followed by logistic regression to compare receipt of preconception consultation and other secondary diabetes care measures and pregnancy outcomes according to insurance status. RESULTS: Fifty-four percent (n=106) of 197 women had public insurance. Publicly insured women were younger (median age 30.4 compared with 35.3 years, P<.01) with lower rates of college education (12.3% compared with 45.1%, P<.01). Women with public insurance were less likely to receive a preconception consult (5.7% compared with 31.9%, P<.01), had lower rates of hemoglobin A1C less than 6% at the onset of pregnancy (37.2% compared with 58.4%, P=.01), and experienced higher rates of pregnancies affected by congenital anomalies (10.4% compared with 2.2%, P=.02) compared with those with private insurance. In adjusted analyses controlling for educational attainment, maternal age, and body mass index, women with public insurance were less likely to receive a preconception consult (adjusted odds ratio [OR] 0.21, 95% CI 0.08-0.58), although the odds of achieving the target hemoglobin A1C (adjusted OR 0.45, 95% CI 0.20-1.02) and congenital anomaly (adjusted OR 2.23, 95% CI 0.37-13.41) were similar after adjustment. CONCLUSION: Despite continuous access to health insurance, publicly insured women were less likely than privately insured women to receive a preconception consult-an evidence-based intervention known to improve pregnancy outcomes. Improving use of preconception care among publicly insured women with diabetes is critical to reducing disparities in outcomes.

Preconception consultations with Maternal Fetal Medicine for obese women: a retrospective chart review.

BACKGROUND: Obesity is associated with impaired fertility and pregnancy complications, and preconception weight loss may improve some of these outcomes. The purpose of this study was to evaluate the quality and effectiveness of Maternal Fetal Medicine (MFM) preconception consults for obese women. METHODS: We performed a retrospective chart review examining 162 consults at an academic medical center from 2008 to 2014. The main outcome measures included consultation content - e.g. discussion of obesity-related pregnancy complications, screening for comorbidities, and referrals for weight loss interventions - and weight loss. RESULTS: Screening for diabetes and hypertension occurred in 48% and 51% of consults, respectively. Discussion of obesity-related pregnancy complications was documented in 96% of consults. During follow-up (median 11 months), 27% of patients saw a nutritionist, 6% saw a provider for a medically supervised weight loss program, and 6% underwent bariatric surgery. The median weight change was a loss of 0.6% body weight. CONCLUSIONS: In this discovery cohort, a large proportion of MFM preconception consultations lacked appropriate screening for obesity-related comorbidities. While the vast majority of consultations included a discussion of potential pregnancy complications, relatively few patients achieved significant weight loss. More emphasis is needed on weight loss resources and delaying pregnancy to achieve weight loss goals.

Patterns of gestational diabetes diagnosis inside and outside of clinical guidelines.

BACKGROUND: Hospital discharge codes are often used to determine the incidence of gestational diabetes mellitus (GDM) at state and national levels. Previous studies demonstrate substantial variability in the accuracy of GDM reporting, and rarely report how the GDM was diagnosed. Our aim was to identify deliveries coded as gestational diabetes, and then to determine how the diagnosis was assigned and whether the diagnosis followed established guidelines. METHODS: We identified which deliveries were coded at discharge as complicated by GDM at the Brigham and Women's Hospital in Boston, MA for the year 2010. We reviewed medical records to determine whether the codes were appropriately assigned. RESULTS: Of 7883 deliveries, coding for GDM was assigned with 98% accuracy. We identified 362 cases assigned GDM delivery codes, of which 210 (58%) had oral glucose tolerance test (OGTT) results available meeting established criteria. We determined that 126 cases (34%) received a GDM delivery code due to a clinician diagnosis documented in the medical record, without an OGTT result meeting established guidelines for GDM diagnosis. We identified only 15 cases (4%) that were coding errors. CONCLUSIONS: Thirty four percent of women assigned GDM delivery codes at discharge had a medical record diagnosis of GDM but did not meet OGTT criteria for GDM by established guidelines. Although many of these patients may have met guidelines if guideline-based testing had been conducted, our findings suggest that clinician diagnosis outside of published guidelines may be common. There are many ramifications of this approach to diagnosis, including affecting population-level statistics of GDM prevalence and the potential impact on some women who may be diagnosed with GDM erroneously.