The evolution of health system planning and implementation of maternal telehealth services during the COVID-19 Pandemic.

Background: Differential access to healthcare is associated with disparities in maternal outcomes. Telehealth is one approach for improving access to maternal services. However, little is known regarding how health systems leverage telehealth to close the access gap. Objective: This study examines how health systems have approached decisions about using telehealth for maternal services before and during the COVID-19 public health emergency and what factors were considered. Methods: We conducted semi-structured interviews with 15 health system leaders between July and October 2021 and June and August 2022. We used a rapid analysis followed by a content analysis approach. Results: Five health systems did not provide maternal telehealth services before the PHE due to a lack of reimbursement. Two health systems provided limited services as research endeavors, and one had integrated telehealth into routine maternity care. During the PHE, all transitioned to telehealth, with the primary consideration being patient and staff safety. At the time of the interview, key considerations shifted to patient access, patient preferences, patient complexity, return on investment, and staff burnout. However, several barriers impacted telehealth use, including coverage of portable devices and connectivity. These issues were reported to be common among underinsured, low-income, and rural patients. Health systems with particularly advanced capabilities worked on approaches to fill access gaps for these patients. Conclusion: Some health systems prioritized telehealth to improve access to high-quality maternal services for patients at the highest risk of adverse outcomes. However, policy and patient-level barriers to equitable implementation of these services persist.

Rural Hospital Closures: A Scoping Review of Studies Published Between 1990 and 2020.

Between 1990 and 2020, 334 rural hospitals closed in the United States, and since 2011 hospital closures have outnumbered new hospital openings. This scoping review evaluates peer-reviewed studies published since 1990 with a focus on rural hospital closures, synthesizing studies across six themes: 1) health care policy environment, 2) precursors to rural hospital closures, 3) economic impacts, 4) effects of rural hospital closures on access to care, 5) health and community impacts, and 6) definitions of rural hospitals and communities. In the 1990s, rural hospitals that closed were smaller, while rural hospitals that closed in the 2010s tended to have more beds. Many studies of the health impacts of rural hospital closures yielded null findings. However, these studies differed in their definitions of "rural hospital closure." Given the accelerated rate of hospital closures, more attention should be paid to hospitals that serve rural communities of color and low-income communities.

Disparities in Maternal Health Visits Between Rural and Urban Communities in the United States, 2016-2018.

OBJECTIVE: The objective was to estimate the rural-urban differences in the receipt of prepregnancy, prenatal, and postpartum services. METHODS: The authors conducted a cross-sectional data analysis using data from the Pregnancy Risk Assessment and Monitoring System from 2016 to 2018 to analyze rural-urban differences in the receipt of medical visits and care content delivery during the prepregnancy year, as well as the prenatal and postpartum periods among birthing people in the US, using survey-weighted multivariable logistic regression models. RESULTS: Rural-dwelling birthing people were significantly less likely to attend a medical visit in the prepregnancy year or postpartum period, even when controlled for sociodemographic and clinical characteristics. Compared to their urban counterparts, they were also less likely to receive comprehensive screening and counseling in the prepregnancy and postpartum maternity phases. CONCLUSION: Efforts to ameliorate rural-urban differences in maternal care access and quality should explicitly adopt multilevel, systemic approaches to policy and program implementation and evaluation. Policymakers and practitioners should consider telehealth as a potential complementary tool to minimize gaps in quality of care which disproportionately impact rural-dwelling birthing people.

Financial burden among metastatic breast cancer patients: a qualitative inquiry of costs, financial assistance, health insurance, and financial coping behaviors.

PURPOSE: Metastatic breast cancer (MBC) patients often face substantial financial burden due to prolonged and expensive therapy. However, in-depth experiences of financial burden among MBC patients are not well understood. METHODS: Qualitative interviews were conducted to describe the experiences of financial burden for MBC patients, focusing on the drivers of financial burden, their experience using their health insurance, accessing financial assistance, and any resulting cost-coping behaviors. Interviews were transcribed and qualitatively analyzed using a descriptive phenomenological approach to thematic analysis. RESULTS: A total of n = 11 MBC patients or caregiver representatives participated in the study. MBC patients were on average 50.2 years of age (range: 28-65) and 72.7% non-Hispanic White. MBC patients were diagnosed as metastatic an average of 3.1 years (range: 1-9) before participating in the study. Qualitative analysis resulted in four themes including (1) causes of financial burden, (2) financial assistance mechanisms, (3) health insurance and financial burden, and (4) cost-coping behaviors. Both medical and non-medical costs drove financial burden among participants. All participants reported challenges navigating their health insurance and applying for financial assistance. Regardless of gaining access to assistance, financial burden persisted for nearly all patients and resulted in cost-coping behaviors. CONCLUSION: Our findings suggest that current systems for health insurance and financial assistance are complex and difficult to meet patient needs. Even when MBC patients accessed assistance, excess financial burden persisted necessitating use of financial coping-behaviors such as altering medication use, maintaining employment, and taking on debt.

Telehealth Use by Pregnancy Stage Among Commercially Insured Patients in the United States, 2016-2019.

Introduction: Relatively little is known about the proportion of maternal health services utilized through telehealth and whether rural-urban disparities in telehealth use exist throughout antenatal, delivery, and postpartum phases of maternal services. In this study, we describe patterns of care, including telehealth utilization, by rurality and racial/ethnic composition of the health service area during the antenatal, labor/delivery, and postpartum stages of pregnancy among commercially insured patients between 2016 and 2019. Methods: We present univariate and comparative descriptive statistics of patient and facility characteristics and site of care by the degree of rurality and racial/ethnic composition of the health service area (defined as geozips). The individual-level utilization data for 238,695 patients were aggregated to the geo-zip level (n = 404). Results: Between 2016 and 2019, 3.5% of pregnancy, delivery, and postpartum-related visits among commercially insured patients were delivered through telehealth. Telehealth use was higher in the antenatal (3.5% of claim lines) and postpartum (4.1% of claim lines) periods, compared with labor and delivery (0.7% of claim lines). We also found that the proportion of telehealth services (of total services billed) increased with the share of Black and Latinx residents at the geozip level. Discussion: Our findings highlight disparities in telehealth use, consistent with findings from studies using different data sources and time periods. Future research is needed to examine whether the relative differences in proportion of telehealth services, even if small, are associated with telehealth capacity in the hospital or community and why the proportion of telehealth services differs across community-level characteristics, specifically rurality and proportion of Black and Latinx residents.

Assessing the pre-implementation context for financial navigation in rural and non-rural oncology clinics.

Background: Financial navigation (FN) is an evidence-based intervention designed to address financial toxicity for cancer patients. FN's success depends on organizations' readiness to implement and other factors that may hinder or support implementation. Tailored implementation strategies can support practice change but must be matched to the implementation context. We assessed perceptions of readiness and perceived barriers and facilitators to successful implementation among staff at nine cancer care organizations (5 rural, 4 non-rural) recruited to participate in the scale-up of a FN intervention. To understand differences in the pre-implementation context and inform modifications to implementation strategies, we compared findings between rural and non-rural organizations. Methods: We conducted surveys (n = 78) and in-depth interviews (n = 73) with staff at each organization. We assessed perceptions of readiness using the Organizational Readiness for Implementing Change (ORIC) scale. In-depth interviews elicited perceived barriers and facilitators to implementing FN in each context. We used descriptive statistics to analyze ORIC results and deductive thematic analysis, employing a codebook guided by the Consolidated Framework for Implementation Research (CFIR), to synthesize themes in barriers and facilitators across sites, and by rurality. Results: Results from the ORIC scale indicated strong perceptions of organizational readiness across all sites. Staff from rural areas reported greater confidence in their ability to manage the politics of change (87% rural, 76% non-rural) and in their organization's ability to support staff adjusting to the change (96% rural, 75% non-rural). Staff at both rural and non-rural sites highlighted factors reflective of the Intervention Characteristics (relative advantage) and Implementation Climate (compatibility and tension for change) domains as facilitators. Although few barriers to implementation were reported, differences arose between rural and non-rural sites in these perceived barriers, with non-rural staff more often raising concerns about resistance to change and compatibility with existing work processes and rural staff more often raising concerns about competing time demands and limited resources. Conclusions: Staff across both rural and non-rural settings identified few, but different, barriers to implementing a novel FN intervention that they perceived as important and responsive to patients' needs. These findings can inform how strategies are tailored to support FN in diverse oncology practices.

Structural Factors and Racial/Ethnic Inequities in Travel Times to Acute Care Hospitals in the Rural US South, 2007-2018.

Policy Points Policymakers should invest in programs to support rural health systems, with a more targeted focus on spatial accessibility and racial and ethnic equity, not only total supply or nearest facility measures. Health plan network adequacy standards should address spatial access to nearest and second nearest hospital care and incorporate equity standards for Black and Latinx rural communities. Black and Latinx rural residents contend with inequities in spatial access to hospital care, which arise from fundamental structural inequities in spatial allocation of economic opportunity in rural communities of color. Long-term policy solutions including reparations are needed to address these underlying processes. CONTEXT: The growing rate of rural hospital closures elicits concerns about declining access to hospital-based care. Our research objectives were as follows: 1) characterize the change in rural hospital supply in the US South between 2007 and 2018, accounting for health system closures, mergers, and conversions; 2) quantify spatial accessibility (in 2018) for populations most at risk for adverse outcomes following hospital closure-Black and Latinx rural communities; and 3) use multilevel modeling to examine relationships between structural factors and disparities in spatial access to care. METHODS: To calculate spatial access, we estimated the network travel distance and time between the census tract-level population-weighted centroids to the nearest and second nearest operating hospital in the years 2007 and 2018. Thereafter, to describe the demographic and health system characteristics of places in relation to spatial accessibility to hospital-based care in 2018, we estimated three-level (tract, county, state-level) generalized linear models. FINDINGS: We found that 72 (10%) rural counties in the South had ≥1 hospital closure between 2007 and 2018, and nearly half of closure counties (33) lost their last remaining hospital to closure. Net of closures, mergers, and conversions meant hospital supply declined from 783 to 653. Overall, 49.1% of rural tracts experienced worsened spatial access to their nearest hospital, whereas smaller proportions experienced improved (32.4%) or unchanged (18.5%) access between 2007 and 2018. Tracts located within closure counties had longer travel times to the nearest acute care hospital compared with tracts in nonclosure counties. Moreover, rural tracts within Southern states with more concentrated commercial health insurance markets had shorter travel times to access the second nearest hospital. CONCLUSIONS: Rural places affected by rural hospital closures have greater travel burdens for acute care. Across the rural South, racial/ethnic inequities in spatial access to acute care are most pronounced when travel times to the second nearest open acute care hospital are accounted for.

Facing financial barriers to healthcare: patient-informed adaptation of a conceptual framework for adults with a history of cancer.

Background: Cancer-related financial hardship is associated with negative clinical outcomes, which may be partially explained by cost-related delayed or forgone care in response to financial barriers. We sought to understand patient experiences facing financial barriers to medical care following a cancer diagnosis. Methods: We conducted virtual, semi-structured interviews in Fall 2022 with 20 adults with a history of cancer who had experienced cancer-related financial hardship in the prior year. We used template analysis within a pragmatic paradigm, combining constructivist and critical realist theoretical perspectives, to analyze interview transcripts and adapt an existing conceptual framework of financial barriers to care. Results: The majority of interviewees identified as women (70%), non-Hispanic white (60%), and reported an annual household income of <$48,000 (60%). As interviewees sought to overcome financial barriers, they described substantial frustration at the limitations and complexities of United States health and social care systems, resulting in a reliance on a fragmented, uncertain resource landscape. The administrative burden resulting from bureaucratic systems and the advocacy responsibilities required to navigate them ultimately fell on interviewees and their caregivers. Thus, participants described their ability to overcome financial barriers as being influenced by individual and interpersonal factors, such as social support, comfort asking for help, time, prior experience navigating resources, and physical and mental health. However, participants noted health system organizational factors, such as whether all new patients proactively met with a social worker or financial navigator, as having the potential to lessen the administrative and financial burden experienced. Conclusion: We present an adapted conceptual framework outlining multi-level factors influencing patient experiences coping with financial barriers to medical care. In addition to influencing whether a patient ultimately delays or forgoes care due to cost, financial barriers also have the potential to independently affect patient mental, physical, and financial health.

Spaces of Segregation and Health: Complex Associations for Black Immigrant and US-Born Mothers in New York City.

Black immigrants are a growing proportion of the Black population in the USA, and despite the fact that they now comprise nearly a quarter of Black urban residents, few studies address the relationships between racial segregation and maternal and birth outcomes among Black immigrants. In this study of birth outcomes among US-born and immigrant Black mothers in New York City between 2010 and 2014, we applied multilevel models, assessing the association between segregation (measured through a novel kernel-based measure of local segregation) and adverse birth outcomes (preterm birth (PTB) and low birth weight (LBW; < 2500 g)) among African-born, Caribbean-born, and US-born Black mothers. We found that African-born and Caribbean/Latin American-born Black mothers had a significantly lower incidence of PTB compared with US-born Black mothers (7.0 and 10.1, respectively, compared with 11.2 for US-born mothers). We also found disparities in the incidence of infant LBW by nativity, with the highest incidence among infants born to US-born mothers (10.9), compared with African-born (6.9) and Caribbean-born mothers (9.0). After adjusting for maternal (maternal age; higher rates of reported drug use and smoking) and contextual characteristics (neighborhood SES; green space access), we found that maternal residence in an area with high Black segregation increases the likelihood of PTB and LBW among US-born and Caribbean-born Black mothers. In contrast, the association between segregation and birth outcomes was insignificant for African-born mothers. Associations between tract-level socioeconomic disadvantage and birth outcomes also varied across groups, with only US-born Black mothers showing the expected positive association with risk of PTB and LBW.

The economic effects of rural hospital closures.

OBJECTIVE: To provide an updated analysis of the economic effects of rural hospital closures. STUDY SETTING: Our study sample was national in scope and consisted of nonmetro counties from 2001 to 2018. STUDY DESIGN: We used a difference-in-differences study design to estimate the effect of a hospital closure on county income, population, unemployment, and size of the labor force. Specifically, we compared economic changes over time in nonmetro counties experiencing a hospital closure to changes in a control group of nonmetro counties over the same time period. We also leveraged insight from recent research to control for estimation bias due to heterogeneity in the closure effect over time or across groups defined by when closure was experienced. DATA EXTRACTION: Data on (adjusted gross) annual income (in real dollars), annual population size, and monthly unemployment rate and labor force size were sourced from the Internal Revenue Service, Census Bureau, and Bureau of Labor Statistics, respectively. We used data from the North Carolina Rural Health Research Program to identify counties that experienced a hospital closure. PRINCIPAL FINDINGS: Of the 1759 nonmetro counties in our study sample, 109 experienced a hospital closure during the study period. Relative to the nonclosure counterfactual, closures significantly decreased labor force size, on average, by 1.4% (95% CI: [-2.1%, -0.8%]). Results also suggest that Prospective Payment System (PPS) hospital closures significantly decreased population size, on average, by 1.1% (95% CI: [-1.7%, -0.5%]), relative to the nonclosure counterfactual. CONCLUSIONS: Our analysis suggests that rural hospital closures often have adverse effects on local economic outcomes. Importantly, the negative economic effects of closure appear to be strongest following Prospective Payment System hospital closures and attenuated when the closed hospital is converted to another type of health care facility, allowing for the continued provision of services other than inpatient care.

Audiologist availability and supply in the United States: A multi-scale spatial and political economic analysis.

This study employs statistical modeling and mapping techniques to analyze the availability and accessibility of audiologists (practitioners who diagnose and treat hearing loss) in the United States at the county scale. The goal is to assess the relationships between socio-demographic and structural factors (such as health policy and clinical programs which train audiologists) and audiologist availability. These associations are analyzed at the county level, via a mixed effects hurdle model. At the county level, the proportion of older adults reporting difficulty hearing is negatively associated with audiologist supply. The findings show that audiologists tend to locate in metropolitan counties with higher median household incomes, younger populations, and lower proportions of older adults reporting hearing difficulty, suggesting an inverse care-type relationship between audiologist availability and need for hearing health services. Notably, neither state legislation requiring insurance plan coverage of hearing services for adults or Medicaid coverage of audiology services were significant predictors of audiologist supply at the county level.