The implications of using maternity care deserts to measure progress in access to obstetric care: a mixed-integer optimization analysis.

BACKGROUND: Lack of access to risk-appropriate maternity services, particularly for rural residents, is thought to be a leading contributor to disparities in maternal morbidity and mortality. There are several existing measures of access to obstetric care in the literature and popular media. In this study, we explored how current measures of obstetric access inform the number and location of additional obstetric care facilities required to improve access. METHODS: We formulated two facility location optimization models to determine the number of new facilities required to minimize the number of reproductive-aged women who lack access to obstetric care. We define regions with a lack of access as either maternity care deserts, designated by the March of Dimes to be counties with no obstetric care facility or obstetric providers, or regions further than 50 miles from critical care obstetric (CCO) services. We gathered information on hospitals with obstetric services from Georgia Department of Public Health public reports and estimated the female reproductive-age population by census block group using the American Community Survey. RESULTS: Out of the 1,910,308 reproductive-aged women who live in Georgia, 104,158 (5.5%) live in maternity care deserts, 150,563 (7.9%) reproductive-aged women live further than 50 miles from CCO services, and 38,202 (2.0%) live in both maternity care desert and further than 50 miles from CCO services. Our optimization analysis suggests that at least 56 new obstetric care facilities (a 67% increase) would be required to eliminate maternity care deserts in Georgia. However, the expansion of 8 facilities would ensure all women in Georgia live within 50 miles of CCO services. CONCLUSIONS: Current measures of access to obstetric care may not be sufficient for evaluating access and planning action toward improvements. In a state like Georgia with a large number of small counties, eliminating maternity care deserts would require a prohibitively large number of new obstetric care facilities. This work suggests that additional measures and tools are needed to estimate the number and type of obstetric care facilities that best match practical resources to meet obstetric care needs.

The implications of using maternity care deserts to measure progress in access to obstetric care: A mixed-integer optimization analysis.

Background: Among the factors contributing to the maternal mortality crisis in the United States is a lack of risk-appropriate access to obstetric care. There are several existing measures of access to obstetric care in the literature and popular media. In this study, we explored how current measures of obstetric access inform the number and location of additional obstetric care facilities required to improve access. Methods: We formulated two facility location optimization models to determine the number of new facilities required to minimize the number of reproductive-aged women living in obstetric care deserts. We define deserts as either "maternity care deserts", designated by the March of Dimes to be counties with no obstetric care hospital or obstetric providers, or regions further than 50 miles from critical care obstetric (CCO) services. We gathered information on hospitals with obstetric services from Georgia Department of Public Health public reports and estimated the female reproductive-age population by census block group using the American Community Survey. Results: Out of the 1,910,308 reproductive-aged women who live in Georgia, 104,158 (5.5%) live in maternity care deserts, 150,563 (7.9%) reproductive-aged women live further than 50 miles from CCO services, and 38,202 (2.0%) live in both "maternity care desert" and further than 50 miles from CCO services. Our optimization analysis suggests that 16 new obstetric facilities (a 19% increase from the current 83 facilities) are required to reduce the number of reproductive-aged women living in "maternity care deserts" by 50% (from 104,158 to 51,477). At least 56 new obstetric care facilities (a 67% increase) would be required to eliminate maternity care deserts in Georgia. Meanwhile, expansion of 2 obstetric care facilities to offer CCO services would reduce the number of reproductive-aged women living further than 50 miles from CCO services by 50% (from 150,563 to 57,338), and 8 facilities would ensure all women in Georgia live within 50 miles of CCO services. Conclusions: Current measures of access to obstetric care may not be sufficient for evaluating access and tracking progress toward improvements. In a state like Georgia with a large number of small counties, eliminating maternity care deserts would require a prohibitively large number of new obstetric care facilities. This work suggests that additional measures and tools are needed to estimate the number and type of obstetric care facilities that best match practical resources to obstetric care needs.

Closure of Labor & Delivery units in rural counties is associated with reduced adequacy of prenatal care, even when prenatal care remains available.

PURPOSE: Closure of rural Labor & Delivery (L&D) units can impact timely access to hospital-based obstetrical care. Iowa has lost over a quarter of its L&D units in the previous decade. Assessing the effect of these closures on prenatal care in those rural communities is important to understanding the full effect of unit closures on maternal health care. METHODS: Using birth certificate data in Iowa from 2017 to 2019, the initiation of prenatal care and adequacy of prenatal visits were assessed for 47 rural counties in Iowa. Of these, 7 experienced a closure of the only L&D unit between 1/1/2018 and 1/1/2019. The impact of these closures is modeled for all birthing parents and compared for Medicaid versus non-Medicaid recipients. FINDINGS: All 7 counties that experienced the loss of their only L&D unit continued to have prenatal care services available. Experiencing a closure of an L&D unit was associated with a lower likelihood of overall adequate prenatal care but not significantly associated with a lower rate of first-trimester prenatal care utilization. Among Medicaid recipients of the communities where an L&D unit closed, there was an association of closure with both a lower likelihood of adequate prenatal care and entry to prenatal care after the first trimester. CONCLUSIONS: Utilization of prenatal care is lower in rural communities following L&D unit closure, especially among Medicaid recipients. This suggests that the overall maternal health systems were disrupted by the closure of the L&D unit, impacting the utilization of services that remained available to the community.

Bypassing of nearest labor & delivery unit is contingent on rurality, wealth, and race.

Patient decisions to bypass the closest labor & delivery (L&D) facility in favor of other birthing locations can have consequences for the provision of health care in rural and micropolitan areas as patient volumes decline and payer mixes change. Among 220 589 uncomplicated births in Iowa, we document characteristics of birth parents who bypass their closest birthing facility, show how this bypassing behavior results in changed travel times to delivery facilities across the rural/urban divide, and indicate the parts of the state where bypassing behavior is most prevalent. From 2013 to 2019, 55.2% of deliveries occurred in facilities that were further from birthing parents' residences than the closest L&D facility. Bypassing is associated with White, non-Hispanic race/ethnicity, and private insurance status. Although bypassing is least common among micropolitan birth parents, this group has the greatest travel burden to birthing facilities and exhibits increasing rates of bypassing over time. Perinatal quality improvement programs can target locations and populations where low-risk birthing parents can be encouraged to deliver close to home if medically appropriate, particularly in small towns and rural areas. This can potentially alleviate the risk of obstetric deserts by ensuring L&D units maintain patient volumes necessary to continue operations.

Labor & delivery unit closures most impact travel times to birth locations for micropolitan residents in Iowa.

PURPOSE: Continued closure of rural hospitals and labor & delivery units can impact timely access to care. Iowa has lost over a quarter of its labor & delivery units in the previous decade. Calculating how travel times to labor & delivery services have changed, and where in the state the largest travel times take place, are important for understanding access to this critical service. METHODS: Using parental address and facility location from birth certificate data in Iowa from 2013 to 2019, travel times to birth facility are assessed for rural, micropolitan, and metropolitan parents, as well as for complicated versus noncomplicated births and Medicaid versus non-Medicaid recipients. FINDINGS: Parts of the state have travel times that are consistently greater than 30 minutes over the duration of the study. The largest increases in travel times are found among micropolitan residents, particularly those experiencing complicated births. Travel times are consistently the longest for rural residents but increased only slightly over the study time period. CONCLUSIONS: These findings suggest that access to hospital-based obstetric care is most changed for residents of small towns rather than rural or larger city residents.

Patients in Iowa Counties Lacking Hospitals With Labor and Delivery Services Disproportionately Receive Care at Level III Maternal Care Hospitals When Undergoing Cesarean Delivery: A Retrospective Longitudinal Study.

Introduction Many obstetrical patients from rural areas in the United States lack hospitals that provide labor and delivery care. Our objective was to examine the effects of such patients on caseloads of cesarean deliveries at Iowa hospitals with level III maternal care, as defined by the Iowa Department of Public Health (e.g., with obstetric anesthesiologists). Methods This retrospective longitudinal study included every discharge with cesarean delivery in the state of Iowa from October 2015 through June 2021. There were N=60,534 such deliveries from 76 hospitals, of which three were level III, and the rest were level I or II. Poisson regression models with robust variance estimation and controlling for geography, maternal risk factors, and insurance, were used to evaluate the binary outcome of whether patients received care at the university level III hospital in Eastern Iowa, or not. Similar models were also developed for care at the two private level III hospitals in Central Iowa, or not. Differences in the mean probabilities of receiving care at the level III hospitals were then estimated using logistic regression, with results reported in units of changes in cases per week at the hospitals. Results Statewide, the university level III hospital performed 7.4% of the cesarean deliveries, and the two private level III hospitals performed 23.4%. Patients from counties in which no cesarean deliveries were performed during the quarter of the year when they underwent a cesarean delivery disproportionately received care at level III hospitals versus levels I and II hospitals. Lower 99% confidence limits for incremental risk ratios were 1.46 and 4.20, respectively. Cesarean deliveries among patients residing in counties where no hospital had a labor and delivery ward were distributed unequally between the counties of the hospitals with level III maternal care. There were approximately 1.09 (standard error 0.10) extra cesarean deliveries per week at the university hospital versus 5.81 (standard error 0.11) at the private hospitals. The 1.09 vs 5.81 difference was caused, in part, by the effects of insurance and other hospitals with similar services. Conclusions Patients residing in counties without labor and delivery care disproportionately go to level III hospitals. These results can help anesthesiologists, obstetricians, and analysts at hospitals with large tertiary (level III) programs interpret their annual increases in total obstetric anesthesia activity.

Rural Maternal Health Care Outcomes, Drivers, and Patient Perspectives.

Rural communities are a vital segment of the US population; however, these communities are shrinking, and their population is aging. Rural women experience health disparities including increased risk of maternal morbidity and mortality. In this article, we will explore these trends and their determinants both within and external to the health care system. Health care providers, public health professionals, and policymakers should be aware of these social and structural factors that influence health outcomes and take action to reduce generational cycles of health disparity. Opportunities to improve the health and pregnancy outcomes for rural women and rural populations are highlighted.

All-Cause Severe Maternal Morbidity (SMM) and Transfusion-Only SMM Are Independently Associated with a Lower Likelihood of Exclusive Breastfeeding.

Background: The rates of severe maternal morbidity (SMM) including blood transfusions after delivery are rising, yet little is known about the impact of these experiences on breastfeeding. Materials and Methods: This is a single-institution retrospective cohort study examining breastfeeding rates at three time points for 1,857 first-time parents delivered at term between July 1, 2016 and June 30, 2019. Our exposure of interest was SMM, which was subdivided into SMM where transfusion was the only indicator (transfusion-only SMM) and SMM where another indicator (diagnostic or procedural) was met, which may also include transfusion (all-cause SMM). Association between transfusion-only SMM and all-cause SMM with feeding method was determined using multinomial regression modeling and adjusting for relevant sociodemographic characteristics. Results: The majority of those with uncomplicated deliveries were exclusively breastfeeding at the 2- to 4-week and 2- to 3-month time points (59.6% and 53.6%, respectively), in contrast to 46.3% and 42.0% of those who had experienced transfusion-only SMM, and 40.9% and 30% of those who had experienced all-cause SMM. In adjusted models, receipt of a blood transfusion was found to be associated with greater risk of exclusive formula feeding at all time points. Experience of all-cause SMM was significantly associated with increased likelihood of exclusive formula feeding at hospital discharge and the 2- to 3-month time point. Conclusions: We identified that experience of all-cause SMM and transfusion-only SMM are independently associated with a lower likelihood of exclusive breastfeeding after adjusting for sociodemographic factors. Perinatal clinicians should be aware of these risks and offer increased support to these couplets.

Common Complications of Breastfeeding and Lactation: An Overview for Clinicians.

Lactation and breastfeeding are core components of reproductive health care and obstetrical providers should be familiar with common complications that may arise in lactating individuals. While many breastfeeding challenges are best addressed by a lactation consultant, there are conditions that fall out of their scope and require care from a clinician. The objective of this chapter is to review common complications of breastfeeding and lactation including inflammatory conditions, disorders of lactogenesis, dermatologic conditions, and persistent pain with lactation.

Postpartum Nipple Symptoms: Risk Factors and Dermatologic Characterization.

Background: Nipple discomfort inhibits breastfeeding goals, particularly between 0 and 8 weeks postpartum (PP), and yet the specific dermatologic entities that contribute to nipple soreness have not been clearly delineated. Moreover, there remains a lack of evidence-based guidelines for nipple symptoms and skin diseases. Methods: A survey was distributed to 6-8-week PP women, 18-50 years of age, with an intent to exclusively or partially breastfeed ("at the breast" or "pump"). The study aimed to characterize nipple skin symptoms (pain and itching) and lesions (eczema, redness, cuts, or wounds) and any association between these nipple problems and past dermatologic history, breastfeeding outcomes, and the ability to meet her breastfeeding goals. Results: Findings paralleled Centers for Disease Control and Prevention (CDC) statistics with a 25% decline in breastfeeding rates between birth, 86.3% (189), and 6-8 weeks PP, 64.5% (145). By 6-8 weeks PP, exclusive "formula" and "exclusive feeding at the breast" showed the largest increase (+16.4%) and decrease (-22.9%), respectively. Although no significant difference was found in comparison of nipple problems to feeding methods or skin history, women who reported pumping or PP redness/eczema had higher odds ratios of a change in feeding practice, history of eczema, and sensitive skin. Strong pumping intentions were also associated with the highest risk of unmet breastfeeding goals. Conclusion: Regardless of feeding method, product, or provider use, PP nipple problems predominantly arose between 1 and 3 weeks PP. Clinical Trial Registration number 201901737.