Geographic access to critical care obstetrics for women of reproductive age by race and ethnicity

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

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, and 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.

Obstetrics and Gynecology Care in Latinx Communities

The Latinx community represents the largest racial minority population in the nation. There are significant barriers to care and treatment as it relates to obstetrics and gynecology. Understanding cultural considerations is essential to improving care in this community. Public health strategies as well as policies to address racial health disparities facing the Latinx community are explored in this article.

Dual Barriers: Examining Digital Access and Travel Burdens to Hospital Maternity Care Access in the United States, 2020

Policy Points The White House Blueprint for Addressing the Maternal Health Crisis report released in June 2022 highlighted the need to enhance equitable access to maternity care. Nationwide hospital maternity unit closures have worsened the maternal health crisis in underserved communities, leaving many birthing people with few options and with long travel times to reach essential care. Ensuring equitable access to maternity care requires addressing travel burdens to care and inadequate digital access. Our findings reveal socioeconomically disadvantaged communities in the United States face dual barriers to maternity care access, as communities located farthest away from care facilities had the least digital access.

CONTEXT

With the increases in nationwide hospital maternity unit closures, there is a greater need for telehealth services for the supervision, evaluation, and management of prenatal and postpartum care. However, challenges in digital access persist. We examined associations between driving time to hospital maternity units and digital access to understand whether augmenting digital access and telehealth services might help mitigate travel burdens to maternity care.

METHODS

This cross-sectional study used 2020 American Hospital Association Annual Survey data for hospital maternity unit locations and 2020 American Community Survey five-year ZIP Code Tabulation Area (ZCTA)-level estimates of household digital access to telecommunication technology and broadband. We calculated driving times of the fastest route from population-weighted ZCTA centroids to the nearest hospital maternity unit. Rural-urban stratified generalized median regression models were conducted to examine differences in ZCTA-level proportions of household lacking digital access equipment (any digital device, smartphones, tablet), and lacking broadband subscriptions by spatial accessibility to maternity units.

FINDINGS

In 2020, 2,905 (16.6%) urban and 3,394 (39.5%) rural ZCTAs in the United States were located >30 minutes from the nearest hospital maternity units. Regardless of rurality, these communities farther away from a maternity unit had disproportionally lower broadband and device accessibility. Although urban communities have greater digital access to technology and broadband subscriptions compared to rural communities, disparities in the percentage of households with access to digital devices were more pronounced within urban areas, particularly between those with and without close proximity to a hospital maternity unit. Communities where nearest hospital maternity units were >30 minutes away had higher poverty and uninsurance rates than those with <15-minute access.

CONCLUSIONS

Socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access. To optimize maternity care access, ongoing efforts (e.g., Affordable Connectivity Program introduced in the 2021 Infrastructure Act), should bridge the gaps in digital access and target communities with substantial travel burdens to care and limited digital access.

Rural and Urban Differences in Insurance Coverage at Prepregnancy, Birth, and Postpartum

OBJECTIVE

To measure insurance coverage at prepregnancy, birth, and postpartum, and insurance coverage continuity across these periods among rural and urban U.S. residents.

METHODS

We performed a pooled, cross-sectional analysis of survey data from 154,992 postpartum individuals in 43 states and two jurisdictions that participated in the 2016-2019 PRAMS (Pregnancy Risk Assessment Monitoring System). We calculated unadjusted estimates of insurance coverage (Medicaid, commercial, or uninsured) during three periods (prepregnancy, birth, and postpartum), as well as insurance continuity across these periods among rural and urban U.S. residents. We conducted subgroup analyses to compare uninsurance rates among rural and urban residents by sociodemographic and clinical characteristics. We used logistic regression models to generate adjusted odds ratios (aORs) for each comparison.

RESULTS

Rural residents experienced greater odds of uninsurance in each period and continuous uninsurance across all three periods, compared with their urban counterparts. Uninsurance was higher among rural residents compared with urban residents during prepregnancy (15.4% vs 12.1%; aOR 1.19, 95% CI 1.11-1.28], at birth (4.6% vs 2.8%; aOR 1.60, 95% CI 1.41-1.82), and postpartum (12.7% vs 9.8%, aOR 1.27, 95% CI 1.17-1.38]. In each period, rural residents who were non-Hispanic White, married, and with intended pregnancies experienced greater adjusted odds of uninsurance compared with their urban counterparts. Rural-urban differences in uninsurance persisted across both Medicaid expansion and non-expansion states, and among those with varying levels of education and income. Rural inequities in perinatal coverage were experienced by Hispanic, English-speaking, and Indigenous individuals during prepregnancy and at birth.

CONCLUSION

Perinatal uninsurance disproportionately affects rural residents, compared with urban residents, in the 43 states examined. Differential insurance coverage may have important implications for addressing rural-urban inequities in maternity care access and maternal health.

Racial Disparities in Respectful Maternity Care During Pregnancy and Birth After Cesarean in Rural United States

OBJECTIVE

To describe the experiences of pregnancy and birth after cesarean of women who live in rural areas of the United States, including access to vaginal birth after cesarean (VBAC), type of maternity care provider, travel times, autonomy in decision making, and respectful maternity care.

DESIGN

Retrospective observational study.

SETTING

Online questionnaire of women who gave birth in the United States.

PARTICIPANTS

Women (N = 1,711) with histories of cesarean and subsequent births within 5 years of participating.

METHODS

We calculated descriptive and bivariate statistics by identified areas of residence and stratified measures of autonomy and respectful maternity care by self-identification as a member of a racialized group. We applied qualitative descriptive analysis to responses to an open-ended survey question.

RESULTS

A total of 299 (17.5%) participants identified their areas of residence as rural. Similar percentages of rural and metropolitan participants were able to plan VBAC (p = .88). More rural participants than metropolitan participants reported travel times of more than 60 minutes to give birth (p < .001), and fewer had obstetricians (p = .002) or doulas (p = .03). Rural participants from racialized groups experienced significantly less respectful maternity care than White, non-Hispanic rural participants and all metropolitan participants (p = .04). Qualitative data illustrating the main findings are included.

CONCLUSIONS

Our findings highlight challenges faced by rural residents accessing VBAC and help explain why rates of VBAC in rural areas remain low. We suggest a range of clinical and policy strategies to improve access to VBAC in rural areas and to improve the quality of maternity care for racialized women who live in rural areas.

Understanding the Changing Landscape of Health Disparities in Chronic Liver Diseases and Liver Cancer

Liver disease and liver cancer disparities in the U.S. are reflective of complex multiple determinants of health. This review describes the disproportionate burden of liver disease and liver cancer among racial, ethnic, sexual, and gender minority, rural, low socioeconomic status (SES) populations, and place-based contexts. The contributions of traditional and lifestyle-related risk factors (e.g., alcohol consumption, evitable toxin exposure, nutrition quality) and comorbid conditions (e.g., viral hepatitis, obesity, type II diabetes) to disparities is also explored. Biopsychosocial mechanisms defining the physiological consequences of inequities underlying these health disparities, including inflammation, allostatic load, genetics, epigenetics, and social epigenomics are described. Guided by the National Institute on Minority Health and Health Disparities (NIMHD) framework, integrative research of unexplored social and biological mechanisms of health disparities, appropriate methods and measures for early screening, diagnosis, assessment, and strategies for timely treatment and maintaining multidisciplinary care should be actively pursued. We review emerging research on adverse social determinants of liver health, such as structural racism, discrimination, stigma, SES, rising care-related costs, food insecurity, healthcare access, health literacy, and environmental exposures to pollutants. Limited research on protective factors of liver health is also described. Research from effective, multilevel, community-based interventions indicate a need for further intervention efforts that target both risk and protective factors to address health disparities. Policy-level impacts are also needed to reduce disparities. These insights are important, as the social contexts and inequities that influence determinants of liver disease/cancer have been worsened by the coronavirus disease-2019 pandemic and are forecasted to amplify disparities.

How far will they go? Distance and driving times that north American men travel to see a reproductive urologist

Male factor infertility affects about 50% of infertile couples. However, male factor infertility is largely under-evaluated due to multiple reasons. This study is to determine the time men travel for fertility evaluation, and factors associated with driving longer. Data from the Andrology Research Consortium were analysed. Driving distance and time were calculated by comparing "patient postal code" with "clinic postal code", then stratified into quartiles. Patients with the longest driving times (> 75th percentile [Q4]) were compared with those having shorter driving times. Logistic regression analysis was used to identify factors associated with longer driving times. Sixteen clinics and 3029 men were included. The median driving distance was 18.1 miles, median driving time was 32 min, and Q4 driving time was 49 min. Factors correlated with having Q4 driving time were age > 30 years, native Indian and Caucasian race, body mass index (BMI) > 30 kg/m2 , history of miscarriage, children with previous partner, self-referral, prior vasectomy, and prior marijuana use. On logistic regression, males aged < 30 years were more likely to be in Q4 for driving time versus older males. Blacks and Asians were less likely to travel further than Caucasians. Overweight/obese men, those having children with previous partner, and with prior vasectomy were more likely to be in Q4 travelling time. Factors correlated with longer driving times include younger age, native Indian and Caucasian race, higher BMI, children with prior partner, and prior vasectomy. These may reflect groups that drive long distances for reproductive care. The study provides an opportunity to better access these groups and minimise their barriers to fertility care.

Examining the Ratio of Obstetric Beds to Births, 2000-2019

The number of U.S. births has been declining. There is also concern about rural obstetric units closing. To better understand the relationship between births and obstetric beds during 2000-2019, we examined changes over time in births, birth hospital distributions (i.e., hospital birth volume, ownership, and urban-rural designation), and the ratio of births to obstetric beds. We analyzed American Hospital Association Annual Survey data from 2000 to 2019. We included U.S. hospitals with at least 25 reported births during the year and at least 1 reported obstetric bed. We categorized birth volume to identify and describe hospitals with maternity services using seven categories. We calculated ratios of number of births to number of obstetric beds overall, by annual birth volume category, by three categories of hospital ownership, and by six urban-rural categories. The ratio of births to obstetric beds, which may represent need for maternity services, has stayed relatively consistent at 65 over the past two decades, despite the decline in births and changes in birth hospital distributions. The ratios were smallest in hospitals with < 250 annual births and largest in hospitals with ≥ 7000 annual births. The largest ratios of births to obstetric beds were in large metro areas and the smallest ratios were in noncore areas. At a societal level, the reduction in obstetric beds corresponds with the drop in the U.S. birth rate. However, consistency in the overall ratio can mask important differences that we could not discern, such as the impact of closures on distances to closest maternity care.

Summary of neonatal and maternal transport and reimbursement policies-a 5-year update

OBJECTIVE

To examine the number of states with neonatal and maternal transport and reimbursement policies in 2019, compared with 2014.

STUDY DESIGN

We conducted a systematic review of web-based, publicly available information on neonatal and maternal transport policies for each state in 2019. Information was abstracted from rules, codes, licensure regulations, and planning and program documents, then summarized within two categories: transport and reimbursement policies.

RESULT

In 2019, 42 states had a policy for neonatal transport and 37 states had a policy for maternal transport, increasing by 8 and 7 states respectively. Further, 31 states had a reimbursement policy for neonatal transport and 11 states for maternal transport, increases of 1 state per category. Overall, the number of states with policies increased from 2014 to 2019.

CONCLUSION

The number of state neonatal and maternal transport policies increased; these policies may support provision of care at the most risk-appropriate facilities.

Is limited access to obstetric services associated with adverse birth outcomes? A cross-sectional study of Korean national birth data

OBJECTIVES

The geographical disparity in the access to essential obstetric services is a public health issue in many countries. We explored the association between timely access to obstetric services and the individual risk of adverse birth outcomes.

DESIGN

Repeated cross-sectional design.

SETTING

South Korean national birth data linked with a medical service provision database.

PARTICIPANTS

1 842 718 singleton livebirths from 2014 to 2018.

PRIMARY OUTCOME MEASURES

Preterm birth (PTB), post-term birth, low birth weight (LBW) and macrosomia.

RESULTS

In the study population, 9.3% of mothers lived in districts where the Time Relevance Index (TRI) was as low as the first quartile (40.6%). Overall PTB and post-term birth rates were 5.0% and 0.1%, respectively. Among term livebirths, LBW and macrosomia occurred in 1.0% and 3.3%, respectively. When the TRI is lower, representing less access to obstetric care, the risk of macrosomia was higher (adjusted OR=1.15, 95% CI 1.11 to 1.20 for Q1 compared with Q4). Similarly, PTB is more likely to occur when TRI is lower (1.05, 95% CI 1.00 to 1.10 for Q1; 1.03, 95% CI 1.01 to 1.05 for Q2). There were some inverse associations between TRI and post-term birth (0.80, 95% CI 0.71 to 0.91, for Q2; 0.84, 95% CI 0.76 to 0.93, for Q3).

CONCLUSIONS

We observed less accessibility to obstetric service is associated with higher risks of macrosomia and PTB. This finding supports the role of obstetric service accessibility in the individual risk of adverse birth outcomes.

Seven years later: state neonatal risk-appropriate care policy consistency with the 2012 American Academy of Pediatrics Policy

OBJECTIVE

To assess consistency of state neonatal risk-appropriate care policies with the 2012 AAP policy seven years post-publication.

STUDY DESIGN

Systematic, web-based review of all publicly available 2019 state neonatal levels of care policies. Information on infant risk (gestational age, birth weight), technology and equipment capabilities, and availability of specialty staffing used to define neonatal levels of care was extracted for review.

RESULT

Half of states (50%) had a neonatal risk-appropriate care policy. Of those states, 88% had language consistent with AAP-defined Level I criteria, 80% with Level II, 56% with Level III, and 55% with Level IV. Comparing policies (2014-2019), consistency increased in state policies among all levels of care with the greatest increase among level IV criteria.

CONCLUSION

States improved consistency of policy language by each level of care, though half of states still lack policy to provide minimum standards of care to the most vulnerable infants.

Birth Volume and Geographic Distribution of US Hospitals With Obstetric Services From 2010 to 2018

IMPORTANCE

Timely access to clinically appropriate obstetric services is critical to the provision of high-quality perinatal care.

OBJECTIVE

To examine the geographic distribution, proximity, and urban adjacency of US obstetric hospitals by annual birth volume.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective population-based cohort study identified US hospitals with obstetric services using the American Hospital Association (AHA) Annual Survey of Hospitals and Centers for Medicare & Medicaid provider of services data from 2010 to 2018. Obstetric hospitals with 10 or more births per year were included in the study. Data analysis was performed from November 6, 2020, to April 5, 2021.

EXPOSURE

Hospital birth volume, defined by annual birth volume categories of 10 to 500, 501 to 1000, 1001 to 2000, and more than 2000 births.

MAIN OUTCOMES AND MEASURES

Outcomes assessed by birth volume category were percentage of births (from annual AHA data), number of hospitals, geographic distribution of hospitals among states, proximity between obstetric hospitals, and urban adjacency defined by urban influence codes, which classify counties by population size and adjacency to a metropolitan area.

RESULTS

The study included 26 900 hospital-years of data from 3207 distinct US hospitals with obstetric services, reflecting 34 054 951 associated births. Most infants (19 327 487 [56.8%]) were born in hospitals with more than 2000 births/y, and 2 528 259 (7.4%) were born in low-volume (10-500 births/y) hospitals. More than one-third of obstetric hospitals (37.4%; 10 064 hospital-years) were low volume. A total of 46 states had obstetric hospitals in all volume categories. Among low-volume hospitals, 18.9% (1904 hospital-years) were not within 30 miles of any other obstetric hospital and 23.9% (2400 hospital-years) were within 30 miles of a hospital with more than 2000 deliveries/y. Isolated hospitals (those without another obstetric hospital within 30 miles) were more frequently low volume, with 58.4% (1112 hospital-years) located in noncore rural areas.

CONCLUSIONS AND RELEVANCE

In this cohort study, marked variations were found in birth volume, geographic distribution, proximity, and urban adjacency among US obstetric hospitals from 2010 to 2018. The findings related to geographic isolation and rural-urban distribution of low-volume obstetric hospitals suggest the need to balance proximity with volume to optimize effective referral and access to high-quality perinatal care.