Evaluating disparities in access to obstetric services for American Indian women across Montana

Health Insurance Type and Access to the Indian Health Service Before, During, and After Childbirth Among American Indian and Alaska Native People in the United States

BACKGROUND

American Indian and Alaska Native (AI/AN) people in the United States face elevated childbirth-related risks when compared with non-Hispanic white people. Access to health care is a treaty right of many AI/AN people, often facilitated through the Indian Health Service (IHS), but many AI/AN people do not qualify for or cannot access IHS care and rely on health insurance coverage to access care in other facilities. Our goal was to describe health insurance coverage and access to IHS care before, during, and after childbirth for AI/AN birthing people in the United States.

METHODS

We analyzed 2016 ton 2020 Pregnancy Risk Assessment Monitoring System data (44 states and 2 other jurisdictions) for 102,860 postpartum individuals (12,920 AI/AN and 89,940 non-Hispanic white). We calculated weighted percentages, adjusted predicted probabilities, and percentage point differences for health care coverage (insurance type and IHS care) before, during, and after childbirth.

RESULTS

Approximately 75% of AI/AN birthing people did not have IHS care around the time of childbirth. AI/AN people had greater variability in insurance coverage and more insurance churn (changes in type of insurance, including between coverage and no coverage) during the perinatal period, compared with non-Hispanic white people. Health care coverage differed for rural and urban AI/AN people, with rural AI/AN residents having the lowest prevalence of continuous insurance (60%).

CONCLUSION

AI/AN birthing people experience insurance churning and limited access to IHS care during the perinatal period. Efforts to improve care for AI/AN birthing people should engage federal, state, and tribal entities to ensure fulfillment of the trust responsibility of the United States and to address health inequities.

"It's just too far…": A qualitative exploration of the barriers and enablers to accessing perinatal care for rural Australian women

PURPOSE

Rural women and their babies experience poorer perinatal outcomes than their urban counterparts and this inequity has existed for decades. This study explored the barriers and enablers that exist for rural women in Australia in accessing perinatal care.

METHODS

A qualitative descriptive design, using reflexive thematic analysis, was employed. Semi-structured interviews were conducted in 2023 with women who had recently given birth in rural Victoria, Australia (n=19). A purposive sampling strategy was used, recruiting women via social media platforms from rural communities across the state. The Socioecological Model (SEM) was used as a framework to organise the findings.

RESULTS

Study participants reported multilevel barriers and enablers to accessing perinatal care in their own communities. Intrapersonal factors included financial resources, transportation, self-advocacy, health literacy, rural stoicism, personal agency, and cost of care. Interpersonal factors included factors such as ineffective relationships, poor communication, and care provider accessibility. Organisational factors included inequitable distribution of services, under-resourcing of perinatal services in rural areas, technology-enabled care models and access to continuity of care. Community factors included effective or ineffective interprofessional or interorganisational collaboration. Policy factors included centralisation of perinatal care, lack of funded homebirth and midwifery care pathways and access to free perinatal care.

CONCLUSION

Participants in this study articulated several key barriers influencing access to perinatal care in rural areas. These factors impede help-seeking behaviour and engagement with care providers, compounding the impact of rurality and isolation on perinatal outcomes and experience of care. Key enablers to accessing perinatal care in rural communities were also identified and included personal agency, health literacy, social capital, effective collaboration and communication between clinicians and services, technology enabled care and free perinatal care.

Global inequities in adverse pregnancy outcomes: what can we do?

The Health Equity Leadership & Exchange Network states that "health equity exists when all people, regardless of race, sex, sexual orientation, disability, socioeconomic status, geographic location, or other societal constructs, have fair and just access, opportunity, and resources to achieve their highest potential for health." It is clear from the wide discrepancies in maternal and infant mortalities, by race, ethnicity, location, and social and economic status, that health equity has not been achieved in pregnancy care. Although the most obvious evidence of inequities is in low-resource settings, inequities also exist in high-resource settings. In this presentation, based on the Global Pregnancy Collaboration Workshop, which addressed this issue, the bases for the differences in outcomes were explored. Several different settings in which inequities exist in high- and low-resource settings were reviewed. Apparent causes include social drivers of health, such as low income, inadequate housing, suboptimal access to clean water, structural racism, and growing maternal healthcare deserts globally. In addition, a question is asked whether maternal health inequities will extend to and be partially due to current research practices. Our overview of inequities provides approaches to resolve these inequities, which are relevant to low- and high-resource settings. Based on the evidence, recommendations have been provided to increase health equity in pregnancy care. Unfortunately, some of these inequities are more amenable to resolution than others. Therefore, continued attention to these inequities and innovative thinking and research to seek solutions to these inequities are encouraged.

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.

The Role of Family Medicine in Addressing the Maternal Health Crisis in the United States

The United States (US) is experiencing a maternal health crisis, with high rates of maternal morbidity and mortality. The US has the highest rates of pregnancy-related mortality among industrialized nations. Maternal mortality has more than quadrupled over the last decades. Rural areas and minoritized populations are disproportionately affected. Increased pregnancy-care workforce with greater participation from family medicine, greater collaborative care, and adequate postpartum care could prevent many maternal deaths. However, more than 40% of birthing people in the US receive no postpartum care. No singular solutions can address the complex contributors to the current situation, and efforts to address the crisis must address workforce shortages and improve care during and after pregnancy. This essay explores the role family medicine (FM) can play in addressing the crisis. We discuss pregnancy care training in FM residencies as well as the threats posed by financial and medico-legal climates to the maternal health workforce. We explore how collaborative care models and comprehensive postpartum care may impact the maternal health workforce. Efforts and resources devoted to high impact solutions for which FM has considerable autonomy, including collaborative and postpartum care, are likely to have greatest impact.

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.

Operationalizing risk-appropriate perinatal care in a rural US State: directions for policy and practice

BACKGROUND

Risk-appropriate care improves outcomes by ensuring birthing people and infants receive care at a facility prepared to meet their needs. Perinatal regionalization has particular importance in rural areas where pregnant people might not live in a community with a birthing facility or specialty care. Limited research focuses on operationalizing risk-appropriate care in rural and remote settings. Through the implementation of the Centers for Disease Control and Prevention (CDC) Levels of Care Assessment Tool (LOCATe), this study assessed the system of risk-appropriate perinatal care in Montana.

METHODS

Primary data was collected from Montana birthing facilities that participated in the CDC LOCATe version 9.2 (collected July 2021 - October 2021). Secondary data included 2021 Montana birth records. All birthing facilities in Montana received an invitation to complete LOCATe. LOCATe collects information on facility staffing, service delivery, drills, and facility-level statistics. We added additional questions on transport.

RESULTS

Nearly all (96%) birthing facilities in Montana completed LOCATe (N = 25). The CDC applied its LOCATe algorithm to assign each facility with a level of care that aligns directly with guidelines published by the American Academy of Pediatrics (AAP) and the American College of Obstetricians and Gynecologists (ACOG), and Society for Maternal-Fetal Medicine (SMFM). LOCATe-assessed levels for neonatal care ranged from Level I to Level III. Most (68%) facilities LOCATe-assessed at Level I or lower for maternal care. Close to half (40%) self-reported a higher-level of maternal care than their LOCATe-assessed level, indicating that many facilities believe they have greater capacity than outlined in their LOCATe-assessed level. The most common ACOG/SMFM requirements contributing to the maternal care discrepancies were the lack of obstetric ultrasound services and a physician anesthesiologist.

CONCLUSIONS

The Montana LOCATe results can drive broader conversations on the staffing and service requirements necessary to provide high-quality obstetric care in low-volume rural hospitals. Montana hospitals often rely on Certified Registered Nurse Anesthetists (CRNA) for anesthesia services and telemedicine to access specialty providers. Integrating a rural health perspective into the national guidelines could enhance the utility of LOCATe to support state strategies to improve the provision of risk-appropriate care.

American Indians travel great distances for obstetrical care: Examining rural and racial disparities

Rural, American Indian/Alaska Native (AI/AN) people, a population at elevated risk for complex pregnancies, have limited access to risk-appropriate obstetric care. Obstetrical bypassing, seeking care at a non-local obstetric unit, is an important feature of perinatal regionalization that can alleviate some challenges faced by this rural population, at the cost of increased travel to give birth. Data from five years (2014-2018) of birth certificates from Montana, along with the 2018 annual survey of the American Hospital Association (AHA) were used in logistic regression models to identify predictors of bypassing, with ordinary least squares regression models used to predict factors associated with the distance (in miles) birthing people drove beyond their local obstetric unit to give birth. Logit analyses focused on hospital-based births to Montana residents delivered during this time period (n = 54,146 births). Distance analyses focused on births to individuals who bypassed their local obstetric unit to deliver (n = 5,991 births). Individual-level predictors included maternal sociodemographic characteristics, location, perinatal health characteristics, and health care utilization. Facility-related measures included level of obstetric care of the closest and delivery hospitals, and distance to the closest hospital-based obstetric unit. Findings suggest that birthing people living in rural areas and on American Indian reservations were more likely to bypass to give birth, with bypassing likelihood depending on health risk, insurance, and rurality. AI/AN and reservation-dwelling birthing people traveled significantly farther when bypassing. Findings highlight that distance traveled was even farther for AI/AN people facing pregnancy health risks (23.8 miles farther than White people with pregnancy risks) or when delivering at facilities offering complex care (14-44 miles farther than White people). While bypassing may connect rural birthing people to more risk-appropriate care, rural and racial inequities in access persist, with rural, reservation-dwelling AI/AN birthing people experiencing greater likelihood of bypassing and traveling greater distances when bypassing.

Geographic proximity to immunization providers and vaccine series completion among children ages 0-24 months

OBJECTIVES

In the U.S., vaccination coverage is lower in rural versus urban areas. Spatial accessibility to immunization services has been a suspected risk factor for undervaccination in rural children. Our objective was to identify whether geographic factors, including driving distance to immunization providers, were associated with completion of recommended childhood vaccinations.

METHODS

We analyzed records from Montana's immunization information system for children born 2015-2017. Using geolocated address data, we calculated distance in road miles from children's residences to the nearest immunization provider. A multivariable log-linked binomial mixed model was used to identify factors associated with completion of the combined 7-vaccine series by age 24 months.

RESULTS

Among 26,085 children, 16,503 (63.3%) completed the combined 7-vaccine series by age 24 months. Distance to the nearest immunization provider ranged from 0 to 81.0 miles (median = 1.7; IQR = 3.2), with the majority (92.1%) of children living within 10 miles of a provider. Long distances (>10 miles) to providers had modest associations with not completing the combined 7-vaccine series (adjusted prevalence ratio [aPR]: 0.97, 95% confidence interval [CI]: 0.96-0.99). After adjustment for other factors, children living in rural areas (measured by rural-urban commuting area) were significantly less likely to have completed the combined 7-vaccine series than children in metropolitan areas (aPR: 0.88, 95% CI: 0.85-0.92).

CONCLUSIONS

Long travel distances do not appear to be a major barrier to childhood vaccination in Montana. Other challenges, including limited resources for clinic-based strategies to promote timely vaccination and parental vaccine hesitancy, may have greater influence on rural childhood vaccination.

Determinants of ethnic differences in the uptake of child healthcare services in New Zealand: a decomposition analysis

BACKGROUND

There are persistent ethnic gaps in uptake of child healthcare services in New Zealand (NZ), despite increasing policy to promote equitable access. We examined ethnic differences in the uptake of immunisation and primary healthcare services at different ages and quantified the contribution of relevant explanatory factors, in order to identify potential points of intervention.

METHODS

We used data from the Growing Up in New Zealand birth cohort study, including children born between 2009 and 2010. Econometric approaches were used to explore underlying mechanisms behind ethnic differences in service uptake. Multivariable regression was used to adjust for mother, child, household, socioeconomic, mobility, and social factors. Decomposition analysis was used to assess the proportion of each ethnic gap that could be explained, as well as the main drivers behind the explained component. These analyses were repeated for four data time-points.

RESULTS

Six thousand eight hundred twenty-two mothers were enrolled during the antenatal survey, and children were followed up at 9-months, 2-years and 4-years. In univariable models, there were ethnic gaps in uptake of immunisation and primary care services. After adjusting for covariates in multivariable models, compared to NZ Europeans, Asian and Pacific children had higher timeliness and completeness of immunisation at all time-points, while indigenous Māori had lower timeliness of first-year vaccines despite high intentions to immunise. Asian and Pacific mothers were less likely to have their first-choice lead maternity caregiver (LMC) than NZ Europeans mothers, and Māori and Asian mothers were less likely to be satisfied with their general practitioner (GP) at 2-years. Healthcare utilisation was strongly influenced by socio-economic, mobility and social factors including ethnic discrimination. In decomposition models comparing Māori to NZ Europeans, the strongest drivers for timely first-year immunisations and GP satisfaction (2-years) were household composition and household income. Gaps between Pacific and NZ Europeans in timely first-year immunisations and choice of maternity carer were largely unexplained by factors included in the models.

CONCLUSIONS

Ethnic gaps in uptake of child healthcare services vary by ethnicity, service, and time-point, and are driven by different factors. Addressing healthcare disparities will require interventions tailored to specific ethnic groups, as well as addressing underlying social determinants and structural racism. Gaps that remain unexplained by our models require further investigation.