Excess deaths associated with COVID-19 by rurality and demographic factors in the United States.

PURPOSE: To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity. METHODS: Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods. FINDINGS: There were 16.9% (95% confidence interval [CI]: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% [18.1, 18.4], large fringe metro: 15.6% [15.5, 15.8], medium metro: 18.1% [18.0, 18.3], small metro: 15.5% [15.3, 15.7], micropolitan rural: 16.3% [16.1, 16.5], and noncore rural: 15.8% [15.6, 16.1]). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% [49.0, 49.6]), followed by non-Hispanic Black persons (28% [27.5, 27.9]) and non-Hispanic White persons (12% [11.6, 11.8]). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022. CONCLUSION: Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.

Rural-Urban Differences in Workers' Access to Paid Sick Leave.

Paid sick leave (PSL) is associated with health care access and health outcomes. The COVID-19 pandemic highlighted the importance of PSL as a public health strategy, yet PSL is not guaranteed in the United States. Rural workers may have more limited PSL, but research on rural PSL has been limited. We estimated unadjusted and adjusted PSL prevalence among rural versus urban workers and identified characteristics of rural workers with lower PSL access using the 2014-2017 Medical Expenditure Panel Survey. We found rural workers had lower access to PSL than urban workers, even after adjusting for worker and employment characteristics. Paid sick leave access was lowest among rural workers who were Hispanic, lacked employer-sponsored insurance, and reported poorer health status. Lower rural access to PSL poses a threat to the health and health care access of rural workers and has implications for the COVID-19 public health emergency and beyond.

Engaging At-Risk Rural Residents in Secondary Lung Cancer Prevention.

INTRODUCTION: Rural residents are at elevated risk for lung cancer and related mortality, yet limited research has explored their perspectives on cancer risk or prevention options, including tobacco treatment and lung cancer screening with low-dose computed tomography (LDCT). This qualitative study examined attitudes and beliefs among rural adults who reported either current or former tobacco use, as well as disengagement from the health care system. METHODS: We conducted 6 focus groups with rural Maine residents at risk for lung cancer based on age and smoking history (n = 50). Semistructured interviews explored participants' knowledge, perceptions, and attitudes regarding lung cancer risk, LDCT screening, and patient provider relationships. Inductive qualitative analysis of interview transcripts was conducted to identify key themes. RESULTS: Participants were cognizant of their elevated lung cancer risk, yet few were aware of LDCT screening. When informed about LDCT, most participants indicated a willingness to undergo screening, although a substantial minority indicated reluctance related to fear and fatalism. Participants generally expressed the belief that relationships with a primary care provider could support their health and identified several provider factors that influence these relationships, including attention and time for patient concerns; respect and non-judgmental, nonstigmatizing attitudes; treating patients as individuals; and provider empathy and emotional support. CONCLUSIONS: Rural residents at risk for lung cancer report limited knowledge and substantial ambivalence regarding LDCT screening, but identify provider behaviors that may promote patient-provider relationships and greater engagement with their health. More research is needed to confirm these findings and understand how to help rural residents and healthcare providers work together to reduce lung cancer risk.

Urban-Rural and Socioeconomic Differences in Patient Knowledge and Perceptions of Genomic Tumor Testing.

PURPOSE: Social determinants of health, such as rurality, income, and education, may widen health disparities by driving variation in patients' knowledge and perceptions of medical interventions. This effect may be greatest for medical technologies that are hard to understand and less accessible. This study explored whether knowledge and perceptions (expectations and attitudes) of patients with cancer toward large-panel genomic tumor testing (GTT), an emerging cancer technology, vary by patient rurality independent of other socioeconomic characteristics (education and income). METHODS: Patients with cancer enrolled in a large precision oncology initiative completed surveys measuring rurality, sociodemographic characteristics, and knowledge and perceptions of GTT. We used multivariable linear models to examine differences in GTT knowledge, expectations, and attitudes by patient rurality, education, and income level. Models controlled for age, sex and clinical cancer stage and type. RESULTS: Rural patients had significantly lower knowledge of GTT than urban patients using bivariate models (P = .025). However, this association disappeared when adjusting for education and income level: patients with lower educational attainment and lower income had lower knowledge and higher expectations (P ≤ .002), whereas patients with higher income had more positive attitudes (P = .005). Urban patients had higher expectations of GTT compared with patients living in large rural areas (P = .011). Rurality was not associated with attitudes. CONCLUSION: Patients' education and income level are associated with knowledge, expectations, and attitudes toward GTT, whereas rurality is associated with patient expectations. These findings suggest that efforts to promote adoption of GTT should focus on improving knowledge and awareness among individuals with low education and income. These differences may lead to downstream disparities in GTT utilization, which should be explored in future research.

Maternal hepatitis C prevalence and trends by county, US: 2016-2020.

BACKGROUND: Trends in the prevalence of hepatitis C virus (HCV) infection among women delivering live births may differ in rural vs. urban areas of the United States, but estimation of trends based on observed counts may lead to unstable estimates in rural counties due to small numbers. OBJECTIVES: The objective of the study was to use small area estimation methods to provide updated county-level prevalence estimates and, for the first time, trends in maternal HCV infection among live births by county-level rurality. METHODS: Cross-sectional natality data from 2016 to 2020 were used to estimate maternal hepatitis C prevalence using hierarchical Bayesian models with spatiotemporal random effects to produce annual county-level estimates of maternal HCV infection and trends over time. Models included a 6-level rural-urban county classification, year, maternal characteristics and county-specific covariates. Data were analysed in 2022. RESULTS: There were 90,764/18,905,314 live births (4.8 per 1000) with HCV infection reported on the birth certificate. Hepatitis C prevalence was higher among rural counties as compared to urban counties. Rural counties had the largest annual increases in maternal hepatitis C prevalence (per 1000 births) from 2016 to 2020 (micropolitan: 0.39; noncore: 0.40), with smaller increases among less densely populated urban counties (medium metro: 0.28; small metro: 0.28) and urban counties (large central metro:0.11; large fringe metro: 0.14). CONCLUSIONS: The prevalence of maternal HCV infection was the highest in rural counties, and rural counties saw the greatest average prevalence increase during 2016-2020. County-level data can help in monitoring rural-urban trends in maternal HCV infection to reduce geographic disparities.

Out-of-hospital births and infant mortality in the United States: Effect measure modification by rural maternal residence.

BACKGROUND: Out-of-hospital births have been increasing in the United States, and home births are almost twice as common in rural vs. urban counties. Planned home births and births in rural areas have each been associated with an increased risk of infant mortality. OBJECTIVES: To estimate the effect of birth setting on infant mortality in the United States and how this is modified by rural-urban county of maternal residence. METHODS: We conducted a population-based cohort study of infants born in the United States during 2010-2017 using the National Center for Health Statistics' period-linked birth-infant death files. Unadjusted and adjusted Poisson regression models were used to calculate infant mortality rate ratios and 95% confidence intervals for out-of-hospital births vs. hospital births stratified by maternal residence. Relative excess risk due to interaction (RERI) was calculated to assess effect measure modification on the additive scale. RESULTS: The study included 25,210,263 live births. Of rural births, 97.8% was in hospitals, 0.5% was in birth centres, and 1.5% was planned home births; of urban births, 98.6% was in hospitals, 0.5% was in birth centres, and 0.7% was planned home births. After adjusting for maternal demographics and markers of high-risk pregnancy and stratifying by maternal residence, infant mortality rates were generally higher for out-of-hospital as compared to hospital births (e.g. rural planned home births aRR 1.62, 95% confidence interval [CI] 1.42, 1.85, and rural birth centre aRR 1.33, 95% CI 1.05, 1.68). There were positive additive effects of rural residence on infant mortality for planned home births and birth centre births. CONCLUSIONS: Within both rural and urban areas, out-of-hospital births generally had higher rates of infant mortality than hospital births after accounting for maternal demographics and markers of high-risk pregnancy. The risks associated with planned home births and birth centre births were more pronounced for women in rural counties.

Use of electronic health records to manage tobacco screening and treatment in rural primary care.

PURPOSE: Electronic health records (EHRs) can facilitate primary care providers' (PCPs) use of best practices in addressing tobacco dependence. It is unknown whether rural PCPs reap the same benefits as their urban counterparts when employing EHRs for this purpose. Our study examines this issue. METHODS: This cross-sectional investigation based on the 2012-2015 National Ambulatory Medical Care Survey used chi-square tests and adjusted logistic regression models to explore how rurality and use of tobacco-related EHR functions were related to smoking status documentation (SSD) and cessation treatment at adult primary care visits. FINDINGS: SSD rates were similar in visits to rural- and urban-based PCPs (88.2% rural-based vs 81.1% urban-based, P = .5819). Use of EHRs for SSD was associated with higher SSD odds at visits to both rural- and urban-based PCPs, but this increase was greater for visits to rural-based PCPs (428% vs 220% urban-based, P = .0443). Rates of cessation treatment at smokers' visits were low in rural and urban contexts (19.3% rural vs 19.6% urban, P = .9430). Odds of cessation treatment were 68% higher where EHRs were used to remind PCPs of treatment guidelines (P = .001), with no rural-urban difference in the size of the increase. Access to EHRs with tobacco-related functions was similar across rural and urban practices. CONCLUSIONS: Rural-based PCPs were at least as successful as urban-based PCPs in leveraging EHRs to enhance tobacco-related services. Even where EHRs are used, opportunities exist to expand cessation treatment in rural primary care.

Rural-urban residence and emergency contraception use, access, and counseling in the United States, 2006-2017.

OBJECTIVE: To estimate differences in emergency contraception (EC) use, access, and counseling by rural-urban residence among reproductive age women in the United States. STUDY DESIGN: We examined respondent data (2006-2017) from the National Survey of Family Growth for women ages 15-44 (n = 28,448) to estimate EC use, access, and counseling by rural-urban county of residence. Rural-urban prevalence ratios for EC outcome measures were estimated using predicted margins from logistic regression models, which were adjusted for demographic differences and current contraceptive method use. Changes in ever-use of EC over time were estimated for rural and urban respondents, separately, using Chi-square tests and trends were estimated using inverse variance weighted linear regression models. RESULTS: During 2006 to 2017, 10% of rural and 19% of urban women who had ever had sex reported ever using EC pills. Among rural women, ever-use increased from 6% in 2006-2008 to 15% in 2015-2017 (Chi-square p < 0.01; trend p-value < 0.01); among urban women, ever-use increased from 11% to 27% (Chi-square p < 0.01; trend p-value < 0.01). Rural and urban women were similarly likely to have obtained EC without a prescription and from a drug store. Rural women were less likely to have received EC counseling than urban women; however, counseling rates were low among all women. CONCLUSION: We observed differences in EC ever-use and receipt of EC counseling by rural-urban residence among US women ages 15 to 44, adding to the evidence that rural-urban residence is an important factor in reproductive health. More research is needed to explore factors contributing to rural-urban differences in EC use. IMPLICATIONS: Our key finding that EC use varied by rural-urban county residence offers additional evidence that rural-urban residence should be considered in reproductive health practice and policy. We discuss areas for future research into potential barriers to EC use in rural populations.

Contraceptive Method Use by Rural-Urban Residence among Women and Men in the United States, 2006 to 2017.

PURPOSE: Policy and reproductive health practice changes in the past decade have affected use of different contraceptive methods, but no study has assessed contraceptive method use over this time by rural-urban residence in the United States. METHODS: We used female and male respondent data (2006-2017) from the National Survey of Family Growth (n = 29,133 women and n = 24,364 men) to estimate contraceptive method use by rural-urban residence over time and contraceptive method use by age, marital status, and parity/number of children. RESULTS: From 2006-2010 to 2013-2017, among urban women, we found increased use of two or more methods (11% to 14%); increased use of intrauterine devices (5% to 11%), implants (0 to 2%), and withdrawal (5 to 8%); and decreased use of sterilization (28% to 22%) and pills (26% to 22%). Among rural women, we found increased use of intrauterine devices (5% to 9%) and implants (1% to 5%). We found increased withdrawal use for urban men, but otherwise no differences among men across time. In data pooled across all survey periods (2006-2017), contraceptive method use varied by rural-urban residence across age, marital status, and parity/number of children. CONCLUSIONS: In a nationally representative sample of reproductive age women and men, we found rural-urban differences in contraceptive method use from 2006-2010 to 2013-2017. Describing contraceptive use differences by rural-urban residence is necessary for tailoring reproductive health services to populations appropriately.

Rural-Urban Residence and Maternal Hepatitis C Infection, U.S.: 2010-2018.

INTRODUCTION: The prevalence of hepatitis C virus infection among women delivering live births in the U.S. may be higher in rural areas where county-level estimates may be unreliable. The aim of this study is to model county-level maternal hepatitis C virus infection among deliveries in the U.S. METHODS: In 2020, U.S. natality files (2010-2018) with county-level maternal residence information were used from states that had adopted the 2003 revised U.S. birth certificate, which included a field for hepatitis C virus infection present during pregnancy. Hierarchical Bayesian spatial models with spatiotemporal random effects were applied to produce stable annual county-level estimates of maternal hepatitis C virus infection for years when all states had adopted the revised birth certificate (2016-2018). Models included a 6-Level Urban-Rural County Classification Scheme along with the birth year and county-specific covariates to improve posterior predictions. RESULTS: Among approximately 32 million live births, the overall prevalence of maternal hepatitis C virus infection was 3.5 per 1,000 births (increased from 2.0 in 2010 to 5.0 in 2018). During 2016-2018, posterior predicted median county-level maternal hepatitis C virus infection rates showed that nonurban counties had 3.5-3.8 times higher rates of hepatitis C virus than large central metropolitan counties. The counties in the top 10th percentile for maternal hepatitis C virus rates in 2018 were generally located in Appalachia, in Northern New England, along the northern border in the Upper Midwest, and in New Mexico. CONCLUSIONS: Further implementation of community-level interventions that are effective in reducing maternal hepatitis C virus infection and its subsequent morbidity may help to reduce geographic and rural disparities.

A Century Later: Rural Public Health's Enduring Challenges and Opportunities.

The US public health community has demonstrated increasing awareness of rural health disparities in the past several years. Although current interest is high, the topic is not new, and some of the earliest public health literature includes reports on infectious disease and sanitation in rural places. Continuing through the first third of the 20th century, dozens of articles documented rural disparities in infant and maternal mortality, sanitation and water safety, health care access, and among Black, Indigenous, and People of Color communities. Current rural research reveals similar challenges, and strategies suggested for addressing rural-urban health disparities 100 years ago resonate today. This article examines rural public health literature from a century ago and its connections to contemporary rural health disparities. We describe parallels between current and historical rural public health challenges and discuss how strategies proposed in the early 20th century may inform current policy and practice. As we explore the new frontier of rural public health, it is critical to consider enduring rural challenges and how to ensure that proposed solutions translate into actual health improvements. (Am J Public Health. 2020;110:1678-1686. https://doi.org/10.2105/AJPH.2020.305868).

Area Deprivation Index and Rurality in Relation to Lung Cancer Prevalence and Mortality in a Rural State.

BACKGROUND: We sought to describe lung cancer prevalence and mortality in relation to socioeconomic deprivation and rurality. METHODS: We conducted a population-based cross-sectional analysis of prevalent lung cancers from a statewide all-payer claims dataset from 2012 to 2016, lung cancer deaths in Maine from the state death registry from 2012 to 2016, rurality, and area deprivation index (ADI), a geographic area-based measure of socioeconomic deprivation. Analyses examined rate ratios for lung cancer prevalence and mortality according to rurality (small and isolated rural, large rural, or urban) and ADI (quintiles, with highest reflecting the most deprivation) and after adjusting for age, sex, and area-level smoking rates as determined by the Behavioral Risk Factor Surveillance System. RESULTS: Among 1 223 006 adults aged 20 years and older during the 5-year observation period, 8297 received lung cancer care, and 4616 died. Lung cancer prevalence and mortality were positively associated with increasing rurality, but these associations did not persist after adjusting for age, sex, and smoking rates. Lung cancer prevalence and mortality were positively associated with increasing ADI in models adjusted for age, sex, and smoking rates (prevalence rate ratio for ADI quintile 5 compared with quintile 1 = 1.41, 95% confidence interval [CI] =1.30 to 1.54) and mortality rate ratio = 1.59, 95% CI = 1.41 to 1.79). CONCLUSION: Socioeconomic deprivation, but not rurality, was associated with higher lung cancer prevalence and mortality. Interventions should target populations with socioeconomic deprivation, rather than rurality per se, and aim to reduce lung cancer risk via tobacco treatment and control interventions and to improve patient access to lung cancer prevention, screening, and treatment services.

What Is Rural? Challenges And Implications Of Definitions That Inadequately Encompass Rural People And Places.

Monitoring and improving rural health is challenging because of varied and conflicting concepts of just what rural means. Federal, state, and local agencies and data resources use different definitions, which may lead to confusion and inequity in the distribution of resources depending on the definition used. This article highlights how inconsistent definitions of rural may lead to measurement bias in research, the interpretation of research outcomes, and differential eligibility for rural-focused grants and other funding. We conclude by making specific recommendations on how policy makers and researchers could use these definitions more appropriately, along with definitions we propose, to better serve rural residents. We also describe concepts that may improve the definition of and frame the concept of rurality.

Female Age at First Sexual Intercourse by Rural-Urban Residence and Birth Cohort.

BACKGROUND: Previous studies have examined timing of sexual initiation in the United States, but little is known about rural-urban differences in age at first sex. METHODS: We used female respondent data from the National Survey of Family Growth (n = 29,133; 2006-2010 and 2011-2017) to examine age at first vaginal sex with a male partner. We used the Kaplan-Meier estimator and Cox proportional hazard analyses to assess differences in age at first sex by rural-urban residence, overall and stratified by 5-year birth cohorts (1968-1997). Models were adjusted for respondent characteristics and accounted for complex survey design. RESULTS: Overall, rural women experienced first sex earlier compared with urban women (hazard ratio [HR], 1.20; 95% confidence interval [CI], 1.12-1.29). By age 18, 62% of rural women had experienced first sex, compared with 54% of urban women. After adjustment for respondent characteristics, HRs were attenuated, but rural women were still more likely to have experienced first sex compared with urban women (HR, 1.07; 95% CI, 1.01-1.13). In unadjusted models, rural women were more likely to have experienced first sex compared with urban women for most birth cohorts (HRs ranged from 1.14 to 1.32); for only one cohort (1988-1992) was this association found in the adjusted analysis (HR, 1.23; 95% CI, 1.09-1.39). CONCLUSIONS: Women living in rural areas were generally more likely to report first sex at an earlier age compared with urban women, suggesting that delivery of sexual education and reproductive health services for women in the United States may need to take into account rural-urban residence.

Rural-Urban Differences in the Decline of Adolescent Cigarette Smoking.

OBJECTIVES: To examine change over time in cigarette smoking among rural and urban adolescents and to test whether rates of change differ by rural versus urban residence. METHODS: We used the 2008 through 2010 and 2014 through 2016 US National Survey of Drug Use and Health to estimate prevalence and adjusted odds of current cigarette smoking among rural and urban adolescents aged 12 to 17 years in each period. To test for rural-urban differences in the change between periods, we included an interaction between residence and time. RESULTS: Between 2008 to 2010 and 2014 to 2016, cigarette smoking rates declined for rural and urban adolescents; however, rural reductions lagged behind urban reductions. Controlling for socioeconomic characteristics, rural versus urban odds of cigarette smoking did not differ in 2008 through 2010; however, in 2014 through 2016, rural youths had 50% higher odds of smoking than did their urban peers. CONCLUSIONS: Differential reductions in rural youth cigarette smoking have widened the rural-urban gap in current smoking rates for adolescents. Public Health Implications. To continue gains in adolescent cigarette abstinence and reduce rural-urban disparities, prevention efforts should target rural adolescents.

Association Between Rurality and Lung Cancer Treatment Characteristics and Timeliness.

BACKGROUND: Lung cancer is the leading cause of cancer-related mortality in the United States, and rural states bear a greater burden of disease. METHODS: We analyzed tumor registry data to examine relationships between rurality and lung cancer stage at diagnosis and treatment. Cases were from the Maine Cancer Registry from 2012 to 2015, and rurality was defined using rural-urban commuting areas. Multivariable models were used to examine the relationships between rurality and treatment, adjusting for age, sex, poverty, education, insurance status, and cancer stage. RESULTS: We identified 5,338 adults with incident lung cancer; 3,429 (64.2%) were diagnosed at a late stage (III or IV). Rurality was not associated with stage at diagnosis. For patients with early-stage disease (I or II), rurality was not associated with receipt of treatment. However, for patients with late-stage disease, residents of large rural areas received more surgery (10%) compared with metropolitan (9%) or small/isolated rural areas (6%), P = .01. In multivariable analyses, patients in large rural areas received more chemotherapy (OR 1.48; 95% CI: 1.08-2.02) than those in metropolitan areas. Patients with early-stage disease residing in small/ isolated rural areas had delays in treatment (median time to first treatment = 43 days, interquartile range [IQR] 22-68) compared with large rural (34 days, IQR 17-55) and metropolitan areas (35 days, IQR 17-60), P = .0009. CONCLUSION: Rurality is associated with differences in receipt of specific lung cancer treatments and in timeliness of treatment.

Long-Term Services and Supports Use Among Older Medicare Beneficiaries in Rural and Urban Areas.

State and federal policies have shifted long-term services and support (LTSS) priorities from nursing home care to home and community-based services (HCBS). It is not clear whether the rural LTSS system reflects this system transformation. Using the Medicare Current Beneficiary Survey, we examined nursing home use among rural and urban Medicare beneficiaries aged 65 and older. Study findings indicate that even after controlling for known predictors of nursing home use, rural Medicare beneficiaries exhibited greater odds of nursing home residence and that the higher odds of rural nursing home residence are, in part, associated with higher rural nursing home bed supplies. A complex interplay of policy, LTSS infrastructure, and social, cultural, and other factors may be influencing the observed differences. Federal and state efforts to build rural HCBS capacity may be necessary to mitigate stubbornly persistent rural-urban differences in the patterns of institutional and community-based LTSS use.

Mental Health First Aid in Rural Communities: Appropriateness and Outcomes.

PURPOSE: Mental Health First Aid (MHFA), an early intervention training program for general audiences, has been promoted as a means for improving population-level behavioral health (BH) in rural communities by encouraging treatment-seeking. This study examined MHFA's appropriateness and impacts in rural contexts. METHODS: We used a mixed-methods approach to study MHFA trainings conducted from November 2012 through September 2013 in rural communities across the country. DATA SOURCES: (a) posttraining questionnaires completed by 44,273 MHFA participants at 2,651 rural and urban trainings in 50 US states; (b) administrative data on these trainings; and (c) interviews with 16 key informants who had taught, sponsored, or participated in rural MHFA. Measure of Rurality: Rural-Urban Commuting Area Codes. ANALYSES: Chi-square tests were conducted on questionnaire data. Structural, descriptive, and pattern coding techniques were used to analyze interview data. FINDINGS: MHFA appears aligned with some key rural needs. MHFA may help to reduce unmet need for BH treatment in rural communities by raising awareness of BH issues and mitigating stigma, thereby promoting appropriate treatment-seeking. However, rural infrastructure deficits may limit some communities' ability to meet new demand generated by MHFA. MHFA may help motivate rural communities to develop initiatives for strengthening infrastructure, but additional tools and consultation may be needed. CONCLUSIONS: This study provides preliminary evidence that MHFA holds promise for improving rural BH. MHFA alone cannot compensate for weaknesses in rural BH infrastructure.

Rural considerations in establishing network adequacy standards for qualified health plans in state and regional health insurance exchanges.

PURPOSE: The Affordable Care Act (ACA) requires Health Insurance Exchanges (HIEs) to specify network adequacy standards for the Qualified Health Plans (QHPs) they offer to consumers. This article examines rural issues surrounding network adequacy standards, and offers recommendations for crafting standards that optimize rural access. METHOD: This policy analysis reviews ACA requirements for QHP network adequacy standards, considering Medicaid managed care and Medicare Advantage (MA) standards as models. We analyze the implications of stringent vs flexible access standards in terms of how choices might affect health plans' participation in rural markets and rural enrollees' access to care. Finally, we propose strategies for designing standards with the degree of flexibility most likely to benefit rural consumers. FINDINGS: A traditional approach to safeguarding rural access is to impose strict network adequacy standards on plans in rural areas. However, if strict standards prove difficult to meet due to rural provider scarcity, they might diminish QHPs' willingness to serve rural areas. Thus, they could exacerbate rather than alleviate rural access problems. CONCLUSIONS: To benefit rural communities, network adequacy standards must be strong enough to provide real protections for beneficiaries, yet flexible enough to accommodate rural delivery system constraints and remain attainable for QHPs. Useful strategies to achieve this balance might include: adjusting standards according to degrees of rurality and rural utilization norms; counting midlevel clinicians toward fulfillment of patient-provider ratios; and allowing plans to ensure rural access through delivery system innovations such as telehealth.

Health care access and use among the rural uninsured.

The uninsured have poorer access to care and obtain care at greater acuity than those with health insurance; however, the differential impact of being uninsured in rural versus urban areas is largely unknown. Using data from the 2002-2007 Medical Expenditure Panel Survey, we examine whether uninsured rural residents have different patterns of health care use than their urban counterparts, and the factors associated with any differences. We find that being uninsured leads to poorer access in both rural and urban areas, yet the rural uninsured are more likely to have a usual source of care and use services than their urban counterparts. Further, controlling for demographic and health characteristics, the access and use differences between the uninsured and insured in rural areas are smaller than those observed in urban areas. This suggests that rural providers may impose fewer barriers on the uninsured who seek care than providers in urban areas.