Federal telehealth policy changes during the COVID-19 public health emergency: Associations with telemental health use among rural and urban Medicare beneficiaries.

PURPOSE: The COVID-19 public health emergency (PHE) led to increased mental health (MH) concerns among Medicare beneficiaries while inhibiting their access to MH services (MHS). To help address these problems, the federal government introduced temporary flexibilities permitting broader telehealth use in Medicare. This study compared rural versus urban patterns of change in telemental health (TMH) use among adult MHS users in fee-for-service Medicare from 2019 to 2020, when PHE-related telehealth expansions were enacted. METHODS: In this cross-sectional investigation based on 2019-2020 Medicare claims data, we used chi-square tests, t-tests and adjusted logistic regression to explore how year (pre-PHE vs. PHE), rurality, and beneficiary characteristics were related to TMH use. FINDINGS: From 2019 to 2020, the proportion of MHS users who used TMH rose from 4.8% to 51.9% among rural residents (p < 0.0001) and from 1.1% to 61.3% (p < 0.0001) among urban residents. Across study years, adjusted odds of TMH use grew more than 18-fold for rural MHS users (OR = 18.10, p < 0.001) and nearly 120-fold for their urban counterparts (OR = 119.75, p < 0.001). Among rural MHS users in 2020, adjusted odds of TMH use diminished with increasing age. CONCLUSIONS: TMH mitigated PHE-related barriers to MHS access for rural and urban beneficiaries, but urban residents benefited disproportionately. Among rural beneficiaries, older age was related to lower TMH use. To avoid reinforcing existing MHS access disparities, policies must address factors limiting TMH use among rural beneficiaries, especially those over 75 and those from historically underserved communities.

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.

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.

Patterns of Telehealth Use Among Rural Medicaid Beneficiaries.

PURPOSE: Few studies have examined telehealth use among rural Medicaid beneficiaries. This study produced a descriptive overview of telehealth use in 2011, including the prevalence of telehealth use among rural and urban Medicaid beneficiaries, characteristics of telehealth users, types of telehealth services provided, and diagnoses associated with telehealth use. METHODS: Using data from the 2011 Medicaid Analytic eXtract (MAX), we conducted bivariate analyses to test the associations between rurality and prevalence and patterns of telehealth use among Medicaid beneficiaries. FINDINGS: Rural Medicaid beneficiaries were more likely to use telehealth services than their urban counterparts, but absolute rates of telehealth use were low-0.26% of rural nondual Medicaid beneficiaries used telehealth in 2011. Psychotropic medication management was the most prevalent use of telehealth for both rural and urban Medicaid beneficiaries, but the proportion of users who accessed nonbehavioral health services through telehealth was significantly greater as rurality increased. Regardless of telehealth users' residence, mood disorders were the most common reason for obtaining telehealth services. As rurality increased, significantly higher proportions of telehealth users received services to address attention-deficit/hyperactivity disorder (ADHD) and other behavioral health problems usually diagnosed in childhood. CONCLUSIONS: These findings provide a baseline for further policy-relevant investigations including examinations of changes in telehealth use rates in Medicaid since 2011. Reimbursement policies and unique rural service needs may account for the observed differences in rural-urban Medicaid telehealth use rates.