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Evaluating disparities in access to obstetric services for American Indian women across Montana
Abstract
Purpose
Pregnant women across the rural United States have increasingly limited access to obstetric care, especially specialty care for high‐risk women and infants. Limited research focuses on access for rural American Indian/Alaskan Native (AIAN) women, a population warranting attention given persistent inequalities in birth outcomes.
Methods
Using Montana birth certificate data (2014–2018), we examined variation in travel time to give birth and access to different levels of obstetric care (i.e., the proportion of individuals living within 1‐ and 2‐h drives to facilities), by rurality (Rural‐Urban Continuum Code) and race (White and AIAN people).
Findings
Results point to limited obstetric care access in remote rural areas in Montana, especially higher‐level specialty care, compared to urban or urban‐adjacent rural areas. AIAN women traveled significantly farther than White women to access care (24.2 min farther on average), even compared to White women from similarly rural areas (5–13 min farther, after controlling for sociodemographic characteristics, risk factors, and health care utilization). AIAN women were 20 times more likely to give birth at a hospital without obstetric services and had less access to complex obstetric care. Poor access was particularly pronounced among reservation‐dwelling AIAN women.
Conclusions
It is imperative to consider racial disparities and health inequities underlying poor access to obstetric services across rural America. Current federal policies aim to reduce maternity care professional shortages. Our findings suggest that racial disparities in access to complex obstetric care will persist in Montana unless facility‐level infrastructure is also expanded to reach areas serving AIAN women.
... Important underlying reasons for such gaps included lack of transport, cost, and low levels of trust and confidence in the child's GP. A similar pattern is found internationally, with lower utilisation of healthcare services among ethnic minority groups [6][7][8], and particularly for indigenous ethnic groups [9]. In the US, children from racial minority and marginalised communities were found to have poorer health status and disrupted access to care [10]. ...
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.
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.
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.Results6,822 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 immunize. 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.
Objective:
To describe delivery-related severe maternal morbidity and mortality among indigenous women compared with non-Hispanic white (white) women, distinguishing rural and urban residents.
Methods:
We used 2012-2015 maternal hospital discharge data from the National Inpatient Sample to conduct a pooled, cross-sectional analysis of indigenous and white patients who gave birth. We used weighted multivariable logistic regression and predictive population margins to measure health conditions and severe maternal morbidity and mortality (identified using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis and procedure codes) among indigenous and white patients, to test for differences across both groups, and to test for differences between rural and urban residents within each racial category.
Results:
We identified an estimated 7,561,729 (unweighted n=1,417,500) childbirth hospitalizations that were included in the analyses. Of those, an estimated 101,493 (unweighted n=19,080) were among indigenous women, and an estimated 7,460,236 (unweighted n=1,398,420) were among white women. The incidence of severe maternal morbidity and mortality was greater among indigenous women compared with white women (2.0% vs 1.1%, respectively; relative risk [RR] 1.8, 95% CI 1.6-2.0). Within each group, incidence was higher among rural compared with urban residents (2.3% for rural indigenous women vs 1.8% for urban indigenous women [RR 1.3, 95% CI 1.0-1.6]; 1.3% for rural white women vs 1.2% for urban white women [RR 1.1, 95% CI 1.1-1.2]).
Conclusion:
Severe maternal morbidity and mortality is elevated among indigenous women compared with white women. Incidence is highest among rural indigenous residents. Efforts to improve maternal health should focus on populations at greatest risk, including rural indigenous populations.
Objectives:
To quantify drive distances to hospital obstetric services and advanced neonatal care and to examine such disparities by residential rurality and insurance type.
Study design:
Data for all-payer maternal childbirth hospitalizations in 2002 (N = 661,240) and 2013 (N = 634,807) from nine geographically dispersed states were linked with the American Hospital Association annual surveys to identify maternal residence zip codes and the addresses of hospitals with obstetric services or advanced neonatal care.
Results:
The uneven geographic distribution of hospital obstetric and advanced neonatal care increased between 2002 and 2013, varying by maternal residential rurality and insurance type. Women in rural non-core areas, with Medicaid or no insurance, and living in counties with lower income and educational attainment, had to travel farther to the nearest hospital with obstetric services or neonatal care than their counterparts.
Conclusions:
Women in communities that are already socioeconomically disadvantaged face increasing and substantial travel distances to access perinatal care.
Purpose:
Women of color in the United States, particularly in high-poverty neighborhoods, experience high rates of poor birth outcomes, including cesarean section, preterm birth, low birthweight, and infant mortality. Doula care has been linked to improvements in many perinatal outcomes, but women of color and low-income women often face barriers in accessing doula support.
Description:
To address this issue, the New York City Department of Health and Mental Hygiene's Healthy Start Brooklyn introduced the By My Side Birth Support Program in 2010. The goal was to complement other maternal home-visiting programs by providing doula support during labor and birth, along with prenatal and postpartum visits. Between 2010 and 2015, 489 infants were born to women enrolled in the program.
Assessment:
Data indicate that By My Side is a promising model of support for Healthy Start projects nationwide. Compared to the project area, program participants had lower rates of preterm birth (6.3 vs. 12.4%, p < 0.001) and low birthweight (6.5 vs. 11.1%, p = 0.001); however, rates of cesarean birth did not differ significantly (33.5 vs. 36.9%, p = 0.122). Further research is needed to explore possible reasons for this finding, and to examine the influence of doula support on birth outcomes among populations with high rates of chronic disease and stressors such as poverty, racism, and exposure to violence. However, feedback from participants indicates that doula support is highly valued and helps give women a voice in consequential childbirth decisions.
Conclusion:
Available evidence suggests that doula services may be an important component of an effort to address birth inequities.
The United States has a trust responsibility to provide services to American Indians and Alaska Native (AI/AN) persons. However, a long-standing history of underfunding of the Indian Health Service (IHS) has led to significant challenges in providing services.
Twentieth century laws, including the Snyder Act, Transfer Act, Indian Self-Determination and Education Assistance Act, and Indian Health Care Improvement Act (IHCIA) have had an effect on the way health services are provided. IHCIA was reauthorized as part of the Patient Protection and Affordable Care Act (ACA). Several provisions in ACA allow for potential improvements in access to services for AI/AN populations and are described herein.
Although policy developments have been promising, IHS underfunding must be resolved to ensure improved AI/AN health.
Misclassification of race in medical and mortality records has long been documented as an issue in American Indian/Alaska Native data. Yet, little has been shared in a cohesive narrative which outlines why misclassification of American Indian/Alaska Native identity occurs. The purpose of this paper is to provide a summary of the current state of the science in racial misclassification among American Indians and Alaska Natives. We also provide a historical context on the importance of this problem and describe the ongoing political processes that both affect racial misclassification and contribute to the context of American Indian and Alaska Native identity.
Early and regular prenatal care appointments are imperative for the health of both the mother and baby to help prevent complications associated with pregnancy and birth. American Indian women are especially at risk for health disparities related to pregnancy and lack of prenatal health care. Previous research has outlined a basic understanding of the reasons for lack of prenatal care for women in general; however, little is known about care received by pregnant women at Indian Health Service hospitals. Qualitative interviews were carried out with 58 women to better understand the prenatal health experiences of American Indian women from one tribe in the Northern Plains. Several themes related to American Indian women's prenatal health care experiences were noted, including communication barriers with physicians, institutional barriers such as lack of continuity of care, and sociodemographic barriers. Solutions to these barriers, such as a nurse midwife program, are discussed.
Cancer is the second leading cause of death among Native Americans, who have-some of the poorest cancer survival rates of any race/ethnicity nationwide. Considering the cancer burden experienced by Native Americans and the lack of research exploring Northeastern tribal communities' cancer experiences, a qualitative investigation of Native Americans' cancer coping strategies and health education needs was undertaken. Data were collected through group (74) and individual (17) interviews with 91 Native Americans from the Northeast. Relationships between intergenerational mistrust, individual mistrust, and utilization of biomedical health care systems for Northeastern Native Americans are presented. Trust is central to the provider-patient relationship and the foundation for developing and maintaining connections to Native American communities. Intergenerational mistrust, shaped by historical and contemporary issues of prejudice and miscommunication, affect cancer health experiences and views. Approaches for reducing mistrust and building relationships between health care providers and Native communities are highlighted.
In the past fifteen years there has been a wave of closures of small maternity services in Canada and other developed nations which results in the need for rural parturient women to travel to access care. The purpose of our study is to systematically document newborn and maternal outcomes as they relate to distance to travel to access the nearest maternity services with Cesarean section capability.
Study population is all women carrying a singleton pregnancy beyond 20 weeks and delivering between April 1, 2000 and March 31, 2004 and residing outside of the core urban areas of British Columbia. Maternal and newborn data was linked to specific geographic catchments by the B.C. prenatal Health Program. Catchments were stratified by distance to nearest maternity service with Cesarean section capability if greater than 1 hour travel time or level of local service. Hierarchical logistic regression was used to test predictors of adverse newborn and maternal outcomes.
49,402 cases of women and newborns resident in rural catchments were included. Adjusted odds ratios for prenatal mortality for newborns from catchments greater than 4 hours from services was 3.17 (95% CI 1.45-6.95). Newborns from catchments 2 to 4 hours, and 1 to 2 hours from services generated rates of 179 and 100 NICU 3 days per thousand births respectively compared to 42 days for newborns from catchments served by specialists.
Distance matters: rural parturient women who have to travel to access maternity services have increased rates of adverse prenatal outcomes.
We sought to determine whether aggregate national data for American Indians/Alaska Natives (AIANs) mask geographic variation and substantial subnational disparities in prenatal care utilization.
We used data for US births from 1995 to 1997 and from 2000 to 2002 to examine prenatal care utilization among AIAN and non-Hispanic White mothers. The indicators we studied were late entry into prenatal care and inadequate utilization of prenatal care. We calculated rates and disparities for each indicator at the national, regional, and state levels, and we examined whether estimates for regions and states differed significantly from national estimates. We then estimated state-specific changes in prevalence rates and disparity rates over time.
Prenatal care utilization varied by region and state for AIANs and non-Hispanic Whites. In the 12 states with the largest AIAN birth populations, disparities varied dramatically. In addition, some states demonstrated substantial reductions in disparities over time, and other states showed significant increases in disparities.
Substantive conclusions about AIAN health care disparities should be geographically specific, and conclusions drawn at the national level may be unsuitable for policymaking and intervention at state and local levels. Efforts to accommodate the geographically specific data needs of AIAN health researchers and others interested in state-level comparisons are warranted.
Hospital discharge data from 33 rural hospital service areas in Washington State were categorized by the extent to which patients left their local communities for obstetrical services. Women from communities with relatively few obstetrical providers in proportion to number of births were less likely to deliver in their local community hospital than women in rural communities with greater numbers of physicians practicing obstetrics in proportion to number of births. Women from these high-outflow communities had a greater proportion of complicated deliveries, higher rates of prematurity, and higher costs of neonatal care than women from communities where most patients delivered in the local hospital.
We sought to provide a national profile of rural and urban American Indian/Alaska Native (AI/AN) maternal and infant health.
In this cross-sectional study of all 1989-1991 singleton AI/AN births to US residents, we compared receipt of an inadequate pattern of prenatal care, low birthweight (< 2500 g), infant mortality, and cause of death for US rural and urban AI/AN and non-AI/AN populations.
Receipt of an inadequate pattern of prenatal care was significantly higher for rural than for urban mothers of AI/AN infants (18.1% vs 14.4%, P </=.001); rates for both groups were over twice that for Whites (6.8%). AI/AN postneonatal death rates (rural = 6.7 per 1000; urban = 5.4 per 1000) were more than twice that of Whites (2.6 per 1000).
Preventable disparities between AI/ANs and Whites in maternal and infant health status persist.
Rural racial/ethnic minorities constitute a forgotten population. The limited research addressing rural Black, Hispanic, and American Indian/Alaska Native populations suggests that disparities in health and in health care access found among rural racial/ethnic minority populations are generally more severe than those among urban racial/ethnic minorities.
We suggest that disparities must be understood as both collective and contextual phenomena. Rural racial/ethnic minority disparities in part stem from the aggregation of disadvantaged individuals in rural areas. Disparities also emerge from a context of limited educational and economic opportunity. Linking public health planning to the education and economic development sectors will reduce racial/ethnic minority disparities while increasing overall well-being in rural communities.
This report describes changes in how the National Center for Health Statistics (NCHS) will code, publish, and release maternal mortality data and presents official 2018 maternal mortality estimates using a new coding method. Due to the incremental implementation of the pregnancy status checkbox item on the 2003 revised U.S. Standard Certificate of Death, NCHS last published an official estimate of the U.S. maternal mortality rate in 2007. As of 2018, implementation of the revised certificate, including its pregnancy checkbox, is complete for all 50 states (noting that California implemented a different checkbox than that on the U.S. Standard Certificate of Death), allowing NCHS to resume the routine publication of maternal mortality statistics. However, an evaluation of data quality indicated some errors with the reporting of maternal deaths (deaths within 42 days of pregnancy) following adoption of the checkbox, including overreporting of maternal deaths among older women. Therefore, NCHS has adopted a new method (to be called the 2018 method) for coding maternal deaths to mitigate these probable errors. The 2018 method involves further restricting application of the pregnancy checkbox to decedents aged 10–44 years from the previous age group of 10–54. In addition, the 2018 method restricts assignment of maternal codes to the underlying cause alone when the checkbox is the only indication of pregnancy on the death certificate, and such coding would be applied only to decedents aged 10–44 based solely on the checkbox when no other pregnancy information is provided in the cause-of-death statement. Based on the new method, a total of 658 deaths were identified in 2018 as maternal deaths. The maternal mortality rate for 2018 was 17.4 deaths per 100,000 live births, and the rate for non-Hispanic black women (37.1) was 2.5 to 3.1 times the rates for non-Hispanic white (14.7) and Hispanic (11.8) women. Rates also increased with age. Maternal mortality rates calculated without using information obtained from the checkbox are also presented for 2002, 2015, 2016, 2017, and 2018 to provide comparisons over time using a comparable coding approach across all states. © 2020, National Center for Health Statistics. All rights reserved.
Objective:
To synthesize the literature on associations between social determinants of health and pregnancy-related mortality and morbidity in the United States and to highlight opportunities for intervention and future research.
Data sources:
We performed a systematic search using Ovid MEDLINE, CINAHL, Popline, Scopus, and ClinicalTrials.gov (1990-2018) using MeSH terms related to maternal mortality, morbidity, and social determinants of health, and limited to the United States.
Methods of study selection:
Selection criteria included studies examining associations between social determinants and adverse maternal outcomes including pregnancy-related death, severe maternal morbidity, and emergency hospitalizations or readmissions. Using Covidence, three authors screened abstracts and two screened full articles for inclusion.
Tabulation, integration, and results:
Two authors extracted data from each article and the data were analyzed using a descriptive approach. A total of 83 studies met inclusion criteria and were analyzed. Seventy-eight of 83 studies examined socioeconomic position or individual factors as predictors, demonstrating evidence of associations between minority race and ethnicity (58/67 studies with positive findings), public or no insurance coverage (21/30), and lower education levels (8/12), and increased incidence of maternal death and severe maternal morbidity. Only 2 of 83 studies investigated associations between these outcomes and socioeconomic, political, and cultural context (eg, public policy), and 20 of 83 studies investigated material and physical circumstances (eg, neighborhood environment, segregation), limiting the diversity of social determinants of health studied as well as evaluation of such evidence.
Conclusion:
Empirical studies provide evidence for the role of race and ethnicity, insurance, and education in pregnancy-related mortality and severe maternal morbidity risk, although many other important social determinants, including mechanisms of effect, remain to be studied in greater depth.
Systematic review registration:
PROSPERO, CRD42018102415.
In the United States, severe maternal morbidity and mortality is climbing-a reality that is especially challenging for rural communities, which face declining access to obstetric services. Severe maternal morbidity refers to potentially life-threatening complications or the need to undergo a lifesaving procedure during or immediately following childbirth. Using data for 2007-15 from the National Inpatient Sample, we analyzed severe maternal morbidity and mortality during childbirth hospitalizations among rural and urban residents. We found that severe maternal morbidity and mortality increased among both rural and urban residents in the study period, from 109 per 10,000 childbirth hospitalizations in 2007 to 152 per 10,000 in 2015. When we controlled for sociodemographic factors and clinical conditions, we found that rural residents had a 9 percent greater probability of severe maternal morbidity and mortality, compared with urban residents. Attention to the challenges faced by rural patients and health care facilities is crucial to the success of efforts to reduce maternal morbidity and mortality in rural areas. These challenges include both clinical factors (workforce shortages, low patient volume, and the opioid epidemic) and social determinants of health (transportation, housing, poverty, food security, racism, violence, and trauma).
We provide a literature review concerning healthcare access for Native Americans in rural areas. We group previous research around three themes; barriers in rural America; barriers within the Indian Health Services system (including provider recruitment and retention); and the scale of services offered. Considering a wide range of access measures, a general failure exists in providing Native Americans with services comparable to those received by other Americans There are repeated findings of disparities in specific resources available, such as staff and infrastructure. Improvement appears possible through increased funding, and by giving greater management control to each tribe.
Maternal mortality and severe maternal morbidity, particularly among women of color, is increasing in the United States. The leading medical causes of maternal mortality are cardiovascular disease, other chronic conditions, infection, and common obstetric complications such as hemorrhage. Although specific modifications in the clinical management of some of these conditions have been instituted, more can be done to improve the system of care for high-risk women at facility and population levels. The goal of levels of maternal care is to reduce maternal morbidity and mortality, including existing disparities, by encouraging the growth and maturation of systems for the provision of risk appropriate care specific to maternal health needs. In order to standardize a complete and integrated system of perinatal regionalization and risk-appropriate maternal care, this classification system establishes levels of maternal care that pertain to basic care (level I), specialty care (level II), subspecialty care (level III), and regional perinatal health care centers (level IV). The determination of the appropriate level of care to be provided by a given facility should be guided by regional and state health care entities, national accreditation and professional organization guidelines, identified regional perinatal health care service needs, and regional resources. State and regional authorities should work together with the multiple institutions within a region to determine the appropriate coordinated system of care and to implement policies that promote and support a regionalized system of care. These relationships enhance the ability of women to give birth safely in their community, while providing support for circumstances where higher level resources are needed.
Community health centers (CHCs) provide comprehensive medical services to medically under-served Americans, helping to reduce health disparities. This study aimed to identify the unique compositions and contexts of CHCs to better understand variation in access to early prenatal care and rates of low birth weights (LBW). Data include CHC-level data from the Uniform Data System, and regional-level data from the US Census American Community Survey and Behavioral Risk Factor Surveillance System. First, latent class analysis was conducted to identify unobserved subgroups of CHCs. Second, data envelopment analysis was performed to evaluate the operational efficiency of CHCs. Third, we used generalized linear models to examine the associations between the CHC subgroups, efficiency, and perinatal outcomes. Seven classes of CHCs were identified, including two rural classes, one suburban, one with large centers serving poor minorities in low poverty areas, and three urban classes. Many of these classes were characterized by the racial compositions of their patients. Findings indicate that CHCs serving white patients in rural areas have greater access to early prenatal care. Health centers with greater efficiency have lower rates of LBW, as do those who serve largely white patient populations in rural areas. CHCs serving poor racial minorities living in low-poverty areas had particularly low levels of access to early prenatal care and high rates of LBW. Findings highlight that significant diversity exists in the sociodemographic composition and regional context of US health centers, in ways that are associated with their operations, delivery of care, and health outcomes. Results from this study highlight that while the provision of early prenatal care and the efficiency with which a health center operates may improve the health of the women served by CHCs and their babies, the underlying social and economic conditions facing patients ultimately have a larger association with their health.
Background:
Cultural safety has the potential to improve the health disparities between Indigenous and non-Indigenous Canadians, yet practical applications of the concept are lacking in the literature.
Purpose:
This study aims to identify the key components of culturally safe health initiatives for the Indigenous population of Canada to refine its application in health-care settings.
Methods:
We conducted a scoping review of the literature pertaining to culturally safe health promotion programs, initiatives, services, or care for the Indigenous population in Canada. Our initial search yielded 501 publications, but after full review of 44 publications, 30 were included in the review. After charting the data, we used thematic analysis to identify themes in the data.
Results:
We identified six themes: collaboration/partnerships, power sharing, address the broader context of the patient's life, safe environment, organizational and individual level self-reflection, and training for health-care providers.
Conclusion:
While it is important to recognize that the provision of culturally safe initiatives depend on the specific interaction between the health-care provider and the patient, having a common understanding of the components of cultural safety, such as those that we identified through this research, will help in the transition of cultural safety from theory into practice.
Importance
Hospital-based obstetric services have decreased in rural US counties, but whether this has been associated with changes in birth location and outcomes is unknown.
Objective
To examine the relationship between loss of hospital-based obstetric services and location of childbirth and birth outcomes in rural counties.
Design, Setting, and Participants
A retrospective cohort study, using county-level regression models in an annual interrupted time series approach. Births occurring from 2004 to 2014 in rural US counties were identified using birth certificates linked to American Hospital Association Annual Surveys. Participants included 4 941 387 births in all 1086 rural counties with hospital-based obstetric services in 2004.
Exposures
Loss of hospital-based obstetric services in the county of maternal residence, stratified by adjacency to urban areas.
Main Outcomes and Measures
Primary outcomes were county rates of (1) out-of-hospital births; (2) births in hospitals without obstetric units; and (3) preterm births (<37 weeks’ gestation).
Results
Between 2004 and 2014, 179 rural counties lost hospital-based obstetric services. Of the 4 941 387 births studied, the mean (SD) maternal age was 26.2 (5.8) years. A mean (SD) of 75.9% (23.2%) of women who gave birth were non-Hispanic white, and 49.7% (15.6%) were college graduates. Rural counties not adjacent to urban areas that lost hospital-based obstetric services had significant increases in out-of-hospital births (0.70 percentage points [95% CI, 0.30 to 1.10]); births in a hospital without an obstetric unit (3.06 percentage points [95% CI, 2.66 to 3.46]); and preterm births (0.67 percentage points [95% CI, 0.02 to 1.33]), in the year after loss of services, compared with those with continual obstetric services. Rural counties adjacent to urban areas that lost hospital-based obstetric services also had significant increases in births in a hospital without obstetric services (1.80 percentage points [95% CI, 1.55 to 2.05]) in the year after loss of services, compared with those with continual obstetric services, and this was followed by a decreasing trend (−0.19 percentage points per year [95% CI, −0.25 to −0.14]).
Conclusions and Relevance
In rural US counties not adjacent to urban areas, loss of hospital-based obstetric services, compared with counties with continual services, was associated with increases in out-of-hospital and preterm births and births in hospitals without obstetric units in the following year; the latter also occurred in urban-adjacent counties. These findings may inform planning and policy regarding rural obstetric services.
Recent closures of rural obstetric units and entire hospitals have exacerbated concerns about access to care for more than twenty-eight million women of reproductive age living in rural America. Yet the extent of recent obstetric unit closures has not yet been measured. Using national data, we found that 9 percent of rural counties experienced the loss of all hospital obstetric services in the period 2004-14. In addition, another 45 percent of rural US counties had no hospital obstetric services at all during the study period. That left more than half of all rural US counties without hospital obstetric services. Counties with fewer obstetricians and family physicians per women of reproductive age and per capita, respectively; a higher percentage of non-Hispanic black women of reproductive age; and lower median household incomes and those in states with more restrictive Medicaid income eligibility thresholds for pregnant women had higher odds of lacking hospital obstetric services. The same types of counties were also more likely to experience the loss of obstetric services, which highlights the challenge of providing adequate geographic access to obstetric care in vulnerable and underserved rural communities.
After a crisis at its Indian Health Service hospital, the Rosebud Sioux Tribe imagines a health system that finally meets its needs.
Background:
Perinatal services exist today as a dyad of maternal and neonatal care. When perinatal care is fragmented or unavailable, excess morbidity and mortality may occur in pregnant women and newborns.
Objective:
Describe spatial relationships between women of reproductive age, individual perinatal subspecialists (Maternal Fetal Medicine and Neonatology), and obstetric and neonatal critical care facilities in the United States to identify gaps in health care access.
Study design:
We used geographic visualization and conducted surface interpolation, nearest neighbor, and proximity analyses. Source data included 2010 United States Census, October 2013 National Provider Index, 2012 American Hospital Association, 2012 National Center for Health Statistics Natality File, and the 2011 American Academy of Pediatrics Directory.
Results:
In October 2013, there were 2.5 neonatologists for every Maternal Fetal Medicine specialist in the United States. In 2012 there were 1.4 Level III or higher neonatal intensive care units (NICU) for every Level III obstetric unit (hereafter, obstetric critical care unit). Nationally, 87% of women of reproductive age live within 50 miles of both an obstetric critical care unit and NICU. However, 18% of obstetric critical care units had no NICU and 20% of NICUs had no obstetric critical care unit within a 10 mile radius. Additionally, 26% of obstetric critical care units had no Maternal Fetal Medicine specialist practicing within 10 miles of the facility and 4% of NICUs had no neonatologist practicing within 10 miles.
Conclusion:
Gaps in access and discordance between the availability of Level III or higher obstetric and neonatal care may affect delivery of risk appropriate care for high risk maternal fetal dyads. Further study is needed to understand the importance of these gaps and discordance on maternal and neonatal outcomes.
Objectives:
To examine whether living in a rural versus urban area differentially exposes populations to social conditions associated with disparities in access to health care.
Methods:
We linked Medical Expenditure Panel Survey (2005-2010) data to geographic data from the American Community Survey (2005-2009) and Area Health Resource File (2010). We categorized census tracts as rural and urban by using the Rural-Urban Commuting Area Codes. Respondent sample sizes ranged from 49 839 to 105 306. Outcomes were access to a usual source of health care, cholesterol screening, cervical screening, dental visit within recommended intervals, and health care needs met.
Results:
African Americans in rural areas had lower odds of cholesterol screening (odds ratio[OR] = 0.37; 95% confidence interval[CI] = 0.25, 0.57) and cervical screening (OR = 0.48; 95% CI = 0.29, 0.80) than African Americans in urban areas. Whites had fewer screenings and dental visits in rural versus urban areas. There were mixed results for which racial/ethnic group had better access.
Conclusions:
Rural status confers additional disadvantage for most of the health care use measures, independently of poverty and health care supply. (Am J Public Health. Published online ahead of print June 16, 2016: e1-e7. doi:10.2105/AJPH.2016.303212).
Background:
A recent American Congress of Obstetricians and Gynecologists and Society for Maternal-Fetal Medicine (MFM) consensus statement on levels of maternity care lays out designations that correspond to specific capacities available in facilities that provide obstetric care. Pregnant women in rural and remote areas receive particular attention in discussions of regionalization and levels of care, owing to the challenges in assuring local access to high-acuity services when necessary. Currently, approximately half a million rural women give birth each year in US hospitals, and whether and which of these women give birth locally is crucial for successfully operationalizing maternal levels of care.
Objective:
We sought to characterize rural women who give birth in nonlocal hospitals and measure local hospital characteristics and maternal diagnoses present at childbirth that are associated with nonlocal childbirth.
Study design:
This was a repeat cross-sectional analysis of administrative hospital discharge data for all births to rural women in 9 states in 2010 and 2012. Multivariate logistic regression models were used to predict the odds of childbirth in a nonlocal hospital (at least 30 road miles from the patient's residence). We examined patient age, race/ethnicity, payer, rurality, clinical diagnoses (diabetes, hypertension, hemorrhage during pregnancy, placental abnormalities, malpresentation, multiple gestation, preterm delivery, prior cesarean delivery, and a composite of diagnoses that may require MFM consultation), as well as local hospital characteristics (birth volume, neonatal care level, ownership, accreditation, and system affiliation).
Results:
The rate of nonlocal childbirth among 216,076 rural women was 25.4%. It varied significantly by primary payer (adjusted odds ratio [AOR], 0.76; 95% confidence interval [CI], 0.68-0.86 for Medicaid vs private insurance) and by clinical conditions including multiple gestation (AOR, 1.82; 95% CI, 1.58-2.1), preterm deliveries (AOR, 2.41; 95% CI, 2.17-2.67), and conditions that may require MFM services or consultation (AOR, 1.28; 95% CI, 1.22-1.35). Rural women whose local hospital did not have a neonatal intensive or intermediate care unit had nearly double the odds of giving birth at a nonlocal hospital (AOR, 1.94; 95% CI, 1.64-2.31).
Conclusion:
Approximately 75% of rural women gave birth at local hospitals; rural women with preterm births and clinical complications, as well as those without local access to higher-acuity neonatal care, were more likely to give birth in nonlocal hospitals. However, after controlling for clinical complications, rural Medicaid beneficiaries were less likely to give birth at nonlocal hospitals, implying a potential access challenge for this population.
Objectives
To review research published before and after the passage of the Patient Protection and Affordable Care Act (2010) examining barriers in seeking or accessing health care in rural populations in the USA.
Study design
This literature review was based on a comprehensive search for all literature researching rural health care provision and access in the USA.
Methods
Pubmed, Proquest Allied Nursing and Health Literature, National Rural Health Association (NRHA) Resource Center and Google Scholar databases were searched using the Medical Subject Headings (MeSH) ‘Rural Health Services’ and ‘Rural Health.’ MeSH subtitle headings used were ‘USA,’ ‘utilization,’ ‘trends’ and ‘supply and distribution.’ Keywords added to the search parameters were ‘access,’ ‘rural’ and ‘health care.’ Searches in Google Scholar employed the phrases ‘health care disparities in the USA,’ inequalities in ‘health care in the USA,’ ‘health care in rural USA’ and ‘access to health care in rural USA.’ After eliminating non-relevant articles, 34 articles were included.
Results
Significant differences in health care access between rural and urban areas exist. Reluctance to seek health care in rural areas was based on cultural and financial constraints, often compounded by a scarcity of services, a lack of trained physicians, insufficient public transport, and poor availability of broadband internet services. Rural residents were found to have poorer health, with rural areas having difficulty in attracting and retaining physicians, and maintaining health services on a par with their urban counterparts.
Conclusions
Rural and urban health care disparities require an ongoing program of reform with the aim to improve the provision of services, promote recruitment, training and career development of rural health care professionals, increase comprehensive health insurance coverage and engage rural residents and healthcare providers in health promotion.
Childbirth is the most common reason for hospitalization in the United States. Assessing obstetric care quality is critically important for patients, clinicians, and hospitals in rural areas.
The study used hospital discharge data from the Statewide Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality, for 9 states (Colorado, Iowa, Kentucky, New York, North Carolina, Oregon, Vermont, Washington, and Wisconsin) to identify all births in rural hospitals with 10 or more births/year in 2002 (N = 94,356) and 2010 (N = 103,880). Multivariate logistic regression was used to assess the relationship between hospital annual birth volume, measured as low (10-110), medium (111-240), medium-high (241-460) or high (>460), and 3 measures of obstetric care quality (low-risk cesarean rates for term, vertex, and singleton pregnancies with no prior cesarean; nonindicated cesarean; and nonindicated induction) and 2 patient safety measures (episiotomy and perineal laceration).
The odds of low-risk and nonindicated cesarean were lower in medium-high and high-volume rural hospitals compared with low-volume hospitals after controlling for maternal demographic and clinical factors. In low-volume hospitals, odds of labor induction without medical indication were higher than in medium-volume hospitals, but not significantly different from medium-high or high-volume hospitals. Odds of episiotomy were greater in medium-high or high-volume hospitals than in low-volume hospitals. The likelihood of perineal laceration did not differ significantly by birth volume.
Obstetric quality and safety outcomes vary significantly across rural hospitals by birth volume. Better performance is not consistently associated with either lower or higher volume facilities.
This article describes geocode and traveltime, two commands that use Google Maps to provide spatial information for data. The geocode command allows users to generate latitude and longitude for various types of locations, including addresses. The traveltime command takes latitude and longitude information and finds travel distances between points, as well as the time it would take to travel that distance by either driving, walking, or using public transportation. Copyright 2011 by StataCorp LP.
The location of medical services critically affects access to health care. We examine the extent to which the spatial distribution of health care resources allows expectant mothers to give birth in the county where they live or forces them to travel elsewhere for obstetrical care. We focus on native American-white differentials in access and travel because little is known about inter-racial differences involving native American Indians. Montana birth records for the period 1980–1989 are used to identify the degree to which women leave the county of residence to give birth. Thirty-seven percent of births to native American mothers involved travel, compared to 19% of births to whites. Sixty-one percent of births to whites were to mothers residing in counties with relatively high levels of obstetrical care (Level II hospitals), while that proportion for native Americans was only 18%. Of women who traveled, 65% of whites gave birth in counties with a Level II hospital, compared to 40% of native Americans. Results of logistic regression suggest that the distribution of health care facilities in the county of residence largely explains travel for birthing. Inter-racial differences in travel turn out to be minimal when the spatial distribution of health care resources is taken into consideration, and both groups act similarly when faced with the same level of health care resources. Suggestions to improve the delivery of health care in rural areas are offered.
To evaluate access to inpatient obstetric care, we determined the proportions of women of reproductive age who resided within 30-minute and 60-minute driving times to the nearest hospital offering perinatal services.
Perinatal centers, identified from the 2007 American Hospital Association survey, were designated as being level I (uncomplicated obstetric and nursery care), level II (limited complicated care), or level III (full complement of care). The study population consisted of all reproductive-aged (18-39 years) women included in the 2010 U.S. Census Bureau estimates. We used geographic information system mapping software to map 30-minute and 60-minute drive times from the census block group centroid to the nearest perinatal center.
A total of 2,606 hospitals in the United States offered some level of perinatal care for the 49.8 million reproductive-aged women. Access to perinatal centers within a 30-minute drive varied by the level of care: 87.5% of the population to any center; 78.6% to level II or level III centers; and 60.8% to level III facilities. Access to the centers within a 60-minute drive also varied: 97.3% of the population to any center; 93.1% to level II or level III centers; and 80.1% to level III facilities. The mostly rural western half of the United States (except for the Pacific Coast) and Alaska had the greatest geographic maldistribution of perinatal services.
Driving times to hospitals offering perinatal care vary considerably. Using geographic information system software can be valuable for regional obstetric workforce planning and policy-making in relation to accessing care.
Wide disparities in obstetric outcomes exist between women of different race/ethnicities. The prevalence of preterm birth, fetal growth restriction, fetal demise, maternal mortality, and inadequate receipt of prenatal care all vary by maternal race/ethnicity. These disparities have their roots in maternal health behaviors, genetics, the physical and social environments, and access to and quality of health care. Elimination of the health inequities because of sociocultural differences or access to or quality of health care will require a multidisciplinary approach. We aim to describe these obstetric disparities, with an eye toward potential etiologies, thereby improving our ability to target appropriate solutions.
To examine differences in correlates of neonatal and postneonatal infant mortality rates, across counties, by degree of rurality.
Neonatal and postneonatal mortality rates were calculated from the 1998 to 2002 Compressed Mortality Files from the National Center for Health Statistics. Bivariate analyses assessed the relationship between neonatal and postneonatal mortality by Urban Influence (UI) codes. Multivariable, weighted least-squares regression models included measures of county socioeconomic conditions, health services and environmental risks.
The bivariate analysis indicated neonatal and postneonatal mortality was significantly higher in the most nonmetropolitan counties compared to the most metropolitan counties. However the relationship was not linear across the Urban Influence codes. In the multivariable models, a nonmetropolitan advantage was observed for counties not adjacent to metropolitan areas for neonatal mortality. However, postneonatal mortality rates were higher in the most rural nonmetropolitan counties.
Certain characteristics of nonmetropolitan counties not adjacent to metropolitan counties and with an urban area of 2,500 population or more are protective against neonatal mortality (UI = 7, UI = 8). This may indicate that just having access to health services is more important to creating a protective effect for these nonmetropolitan counties than having a high concentration of medical facilities. The nonmetropolitan, not adjacent (UI = 9) disadvantage observed for postneonatal mortality supports the idea that the isolation of these areas combined with the combination of risk factors across the most nonmetropolitan counties leads to poorer postneonatal health outcomes in these areas.
Theoretical underpinnings of two theories are examined for their applicability in guiding practice and research when understanding Native American women's health outcomes. Method: Published studies testing two independent theories, historical trauma and weathering, are reviewed. Key theoretical concepts that are applicable in the study of Native women and understanding their intergenerational heritage of injustice and cultural context are discussed.
The authors infer underlying assumptions and definitions of both theories and present a hypothetical diagram blending both theories.
By understanding historical legacies and the surrounding context, researchers and clinicians can develop knowledge to improve and enhance optimal health outcomes and life opportunities for Native women.
This paper examines the dimensions of the access concept with particular attention to the extent to which more parsimonious indicators of access can be developed. This process is especially useful to health policy makers, planners and researchers in need of cost-effective social indicators of access to monitor the need for and impact of innovative health care programs. Three stages of data reduction are used in the analysis, resulting in a reduced set of key indicators of the concept. Implication for subsequent data collection and measurement of access are discussed.
The assessment of the adequacy of prenatal care utilization is heavily shaped by the way in which utilization is measured. Although it is widely used, the current major index of utilization, the Kessner/Institute of Medicine Index, has not been subjected to systematic examination. This paper provides such an examination.
Data from the 1980 National Natality Survey are used to disaggregate the components of the Kessner Index for detailed analysis. An alternative two-part index, the Adequacy of Prenatal Care Utilization Index, is proposed that combines independent assessments of the timing of prenatal care initiation and the frequency of visits received after initiation.
The Kessner Index is seriously flawed. It is heavily weighted toward timing of prenatal care initiation does not distinguish timing of initiation from poor subsequent utilization, inaccurately measures utilization for full- or post-term pregnancies, and lacks sufficient documentation for consistent computer programming.
The Adequacy of Prenatal Care Utilization Index offers a more accurate and comprehensive set of measures of prenatal care utilization than the Kessner Index.
American Indians experienced massive losses of lives, land, and culture from European contact and colonization resulting in a long legacy of chronic trauma and unresolved grief across generations. This phenomenon, labeled historical unresolved grief, contributes to the current social pathology of high rates of suicide, homicide, domestic violence, child abuse, alcoholism and other social problems among American Indians. The present paper describes the concept of historical unresolved grief and historical trauma among American Indians, outlining the historical as well as present social and political forces which exacerbate it. The abundant literature on Jewish Holocaust survivors and their children is used to delineate the intergenerational transmission of trauma, grief, and the survivor's child complex. Interventions based on traditional American Indian ceremonies and modern western treatment modalities for grieving and healing of those losses are described.
In 1976, the Committee on Perinatal Health recommended that hospitals with no neonatal intensive care unit (NICU) or intermediate NICUs transfer high-risk mothers and infants that weigh <2000 g to a regional NICU. This standard was based on expert opinion and has not been validated carefully. This study evaluated the effect of NICU level and patient volume at the hospital of birth on neonatal mortality of infants with a birth weight (BW) of <2000 g.
Birth certificates of 16 732 singleton infants who had a BW of <2000 g and were born in nonfederal hospitals in California in 1992 and 1993 were linked to death certificates and to discharge abstracts. The hospitals were classified by the level of NICU: no NICU, no intensive care; intermediate NICU, intermediate intensive care; community NICU, expanded intermediate intensive care; and regional NICU, tertiary intensive care. A logistic regression model that controlled for demographic risks, diagnoses, transfer, average NICU census, and NICU level was estimated using death within the first 28 days or first year of life if continuously hospitalized as the main outcome measure.
Compared with birth in a hospital with a regional NICU, risk-adjusted mortality of infants with BW of <2000 g was higher when birth occurred in hospitals with no NICU (odds ratio [OR]: 2.38; 95% confidence interval [CI]: 1.81-3.13), an intermediate NICU (OR: 1.92; 95% CI: 1.44-2.54), or a small (average census <15) community NICU (OR: 1.42; 95% CI: 1.14-1.76). Risk-adjusted mortality for infants who were born in hospitals with a large (average census > or =15) community NICU was not statistically different compared with those with a regional NICU (OR: 1.11; 95% CI: 0.87-1.43). Except for large community NICUs, all of these ORs are larger when the data are restricted to infants with BW of <1500 g or BW of <1250 g and smaller for BW between 1250 g and 1999 g and 1500 g and 1999 g. For large community NICUs, the results are similar for the smaller BW intervals and significant only for the larger BW interval.
These results support the recommendation that hospitals with no NICU or intermediate NICUs transfer high-risk mothers with estimated fetal weight of <2000 g to a regional NICU. For infants with BW of <2000 g, birth at a hospital with a regional NICU is associated with a lower risk-adjusted mortality than birth at a hospital with no NICU, intermediate NICU of any size, or small community NICU. Subsequent neonatal transfer to a regional NICU only marginally decreases the disadvantage of birth at these hospitals. The evidence for the few hospitals with large community NICUs is mixed. Although the data point to higher mortality in large community NICUs, they are not conclusive and additional study is needed on the mortality effects of large community NICUs. Greater efforts should be made to deliver infants with expected BW of <2000 g at hospitals with regional NICUs.
A substantial body of research has been devoted to the subject of access to health care services for rural residents, much with the intention of shaping government policies to remove barriers or equalize the distribution of health care services. A number of programs and policies have grown out of or been affected by access research, yet despite identifiable successes of the policy research process, barriers to health care services still exist in rural areas. This article attempts to stimulate discussion about ways that rural health researchers can build on past research on access to care. A framework for posing access questions is proposed, suggesting that access research focus on the following areas: factors that drive differences in utilization, availability, and acceptability; consumer satisfaction and an understanding of why rural consumer satisfaction has been found to be high; factors that impede access that are mutable; and services that can be shown to improve outcomes.
To summarize the reliability and validity of birth certificate variables and encourage nurses to spearhead data improvement.
A Medline key word search of reliability and validity of birth certificate, and a reference review of more than 60 articles were done.
Twenty-four primary research studies of U.S. birth certificates that involved validity or reliability assessment.
Studies were reviewed, critiqued, and organized as either a reliability or a validity study and then grouped by birth certificate variable.
The reliability and validity of birth certificate data vary considerably by item. Insurance, birthweight, Apgar score, and delivery method are more reliable than prenatal visits, care, and maternal complications. Tobacco and alcohol use, obstetric procedures, and delivery events are unreliable. Birth certificates are not valid sources of information on tobacco and alcohol use, prenatal care, maternal risk, pregnancy complications, labor, and delivery.
Birth certificates are a key data source for identifying causes of increasing U.S. infant mortality but have serious reliability and validity problems. Nurses are with mothers and infants at birth, so they are in a unique position to improve data quality and spread the word about the importance of reliable and valid data. Recommendations to improve data are presented.
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