Racial, ethnic, and rural disparities in distance to physicians among decedents with Alzheimer's disease and related dementias in Washington State.

INTRODUCTION: Distance to physicians may explain some of the disparities in Alzheimer's disease and related dementia (AD/ADRD) outcomes. METHODS: We generated round trip distance between residences of decedents with AD/ADRD and the nearest neurologist and primary care physician in Washington State. RESULTS: The overall mean distance to the nearest neurologist and primary care physician was 17 and 4 miles, respectively. Non-Hispanic American Indian and/or Alaska Native and Hispanic decedents would have had to travel 1.12 and 1.07 times farther, respectively, to reach the nearest neurologist compared to non-Hispanic White people. Decedents in micropolitan, small town, and rural areas would have had to travel 2.12 to 4.01 times farther to reach the nearest neurologist and 1.14 to 3.32 times farther to reach the nearest primary care physician than those in metropolitan areas. DISCUSSION: These results underscore the critical need to identify strategies to improve access to specialists and primary care physicians to improve AD/ADRD outcomes. HIGHLIGHTS: Distance to neurologists and primary care physicians among decedents with AD/ADRD American Indian and/or Alaska Native decedents lived further away from neurologists Hispanic decedents lived further away from neurologists Non-metropolitan decedents lived further away from neurologists and primary care Decrease distance to physicians to improve dementia outcomes.

Budget Impact Tool for Implementing Contingency Management for Co-occurring Alcohol Use Disorders and Serious Mental Illness.

OBJECTIVE: Contingency management (CM) is a behavioral intervention in which tangible incentives are provided to patients when they achieve a desired behavior (e.g., reducing or abstaining from alcohol use). The authors sought to describe the resource requirements and associated costs of various CM versions (usual, high magnitude, and shaping) tailored to a high-risk population with co-occurring serious mental illness and severe alcohol use disorder. METHODS: A microcosting analysis was conducted to identify the resource requirements of the different CM versions. This approach included semistructured interviews with site investigators, who also staffed the intervention. The resource costing method-multiplying the number of units of each resource utilized by its respective unit cost-was used to value the resources from a provider's perspective. All cost estimates were calculated in 2021 U.S. dollars. RESULTS: The cost of setting up a CM program was $6,038 per site. Assuming full capacity and 56% of urine samples meeting the requirement for receipt of the CM incentive, the average cost of 16 weeks of usual and shaping CM treatments was $1,119-$1,136 and of high-magnitude CM was $1,848-$1,865 per participant. CONCLUSIONS: A customizable tool was created to estimate the costs associated with various levels of treatment success and CM design features. After the trial, the tool will be updated and used to finalize per-participant cost for incorporation into a comprehensive economic evaluation. This costing tool will help a growing number of treatment providers who are interested in implementing CM with budgeting for and sustaining CM in their practices.

Geographic Disparities in the Availability of Mental Health Services in U.S. Public Schools.

INTRODUCTION: The purpose of this study was to examine geographic variation in the availability of and barriers to school-based mental health services. METHODS: A weighted, nationally representative sample of U.S. public schools from the 2017-2018 School Survey on Crime and Safety was used. Schools reported the provision of diagnostic mental health assessments and/or treatment as well as factors that limited the provision of mental health services. Availability of mental health services and factors limiting service provision were examined across rurality, adjusting for school enrollment and grade level. The analysis was conducted in December 2021. RESULTS: Half (51.2%) of schools reported providing mental health assessments, and 38.3% reported providing treatment. After adjusting for enrollment and grade level, rural schools were 19% less likely, town schools were 21% less likely, and suburban schools were 11% less likely to report providing mental health assessments than city schools. Only suburban schools were less likely than city schools to provide mental health treatment (incidence rate ratio=0.85; 95% CI=0.72, 1.00). Factors limiting the provision of services included inadequate access to professionals (70.9%) and inadequate funding (77.0%), which were most common among rural schools. CONCLUSIONS: Significant inequities in school-based mental health services exist outside of urban areas.

Disparities in years of potential life lost among racial and ethnic groups in Washington state.

BACKGROUND: The disproportionate mortality burden racial and ethnic groups endure compared to their non-Hispanic white (NHW) counterparts is a widely known public health issue in the United States. METHODS: We examined disparities in premature mortality through a measure of years of potential life lost (YPLL) among racial and ethnic groups after accounting for individual and place-based risk factors. Data were nearly 400,000 geocoded death records from Washington state mortality records from 2011 to 2018. Decedent records included information on marital status and educational attainment at time of death. We linked these records to census tract indicators of rurality and area deprivation based on residential longitude and latitude coordinates at time of death. We conducted censored Poisson regression to test adjusted associations between racial and ethnic identity and YPLL. RESULTS: Relative to non-Hispanic whites, non-Hispanic blacks, American Indian and Alaska Natives, Asian or other Pacific Islanders, multiracial, and Hispanic decedents had significantly higher rates of YPLL. Controlling for sociodemographic factors reduced but did not eliminate the disparities in YPLL between non-Hispanic whites and other racial and ethnic groups. Controlling for place-based risk factors did not further attenuate differences. CONCLUSIONS: Racial and ethnic minorities suffer disproportionately from premature mortality. Researchers and policy makers must recognize the disproportionate risks to premature mortality and work together to alleviate them through the delivery of better and more accessible targeted services.

Deaths associated with opioids, race and ethnicity, and years of potential life lost in Washington State.

INTRODUCTION: This study examined disparities in years of potential life lost (YPLL) related to opioid use among racial and ethnic groups adjusting for individual- and neighborhood-level characteristics. METHODS: The study obtained data on 5265 geocoded death records associated with opioid use from the Washington State Department of Health. Death certificates included information on race and ethnicity, sex, marital status, and educational attainment. We linked these records to neighborhood-level indicators of rurality, area deprivation, and access to opioid treatment programs. Generalized linear mixed models tested associations between racial and ethnic identity and YPLL controlling for other individual and neighborhood characteristics. RESULTS: Among all decedents from opioid-related causes, the study found that racial and ethnic minorities-including Black, American Indian/Alaska Native, Asian, Native Hawaiian or other Pacific Islander-multiracial, or Hispanic adults died at younger ages than did White adults (33 to 44 vs 45). In the fully adjusted models, the estimated mean for YPLL was higher for Asian or Native Hawaiian or other Pacific Islander, multiracial, and Hispanic adults compared to White adults. Accounting for educational attainment and marital status substantially reduced YPLL differences between groups, by as much as 40% in some cases. CONCLUSIONS: The study observed striking differences in YPLL related to opioid causes among racial and ethnic minorities. Accounting for social determinants of health greatly reduced YPLL across all groups but racial and ethnic disparities in YPLL remained significant. Understanding and alleviating additional causes of disparities in YPLL is warranted to abate the epidemic of opioid related deaths in the United States.

Disparities in Access to Radiation Therapy by Race and Ethnicity in the United States With Focus on American Indian/Alaska Native People.

OBJECTIVES: Striking disparities in access to radiation therapy (RT) exist, especially among racial and ethnic-minority patients. We analyzed census block group data to evaluate differences in travel distance to RT as a function of race and ethnicity, socioeconomic status, and rurality. METHODS: The Directory of Radiotherapy Centers provided the addresses of facilities containing linear accelerators for RT. We classified block groups as majority (≥ 50%) American Indian/Alaska Native (AI/AN), black, white, Asian, no single racial majority, or Hispanic regardless of race. We used the Area Deprivation Index to classify deprivation and Rural-Urban Commuting Area codes to classify rurality. Generalized linear mixed models tested associations between these factors and distance to nearest RT facility. RESULTS: Median distance to nearest RT facility was 72 miles in AI/AN-majority block groups, but 4 to 7 miles in block groups with non-AI/AN majorities. Multivariable models estimated that travel distances in AI/AN-majority block groups were 39 to 41 miles longer than in areas with non-AI/AN majorities. Travel distance was 1.3 miles longer in the more deprived areas versus less deprived areas and 16 to 32 miles longer in micropolitan, small town, and rural areas versus metropolitan areas. CONCLUSIONS: Cancer patients in block groups with AI/AN-majority populations, nonmetropolitan location, and low socioeconomic status experience substantial travel disparities in access to RT. Future research with more granular community- and individual-level data should explore the many other known barriers to access to cancer care and their relationship to the barriers posed by distance to RT care.

Differences in Loneliness Across the Rural-Urban Continuum Among Adults Living in Washington State.

PURPOSE: Rural residents may be at higher risk for loneliness than urban residents due to factors such as social isolation, poorer health, and socioeconomic disadvantage. To date, there have been few studies examining rural-urban differences in loneliness among adults in the United States. We examined differences in loneliness across the rural-urban continuum among adult residents living in Washington State. METHODS: Stratified random sampling was used to select 2,575 adults from small rural, large rural, suburban, and urban areas who were invited to complete a survey on factors affecting health. Data were obtained from 616 adults (278 from small rural, 100 from large rural, 98 from suburban, and 140 from urban areas) from June 2018 through October 2019. Loneliness was measured using the UCLA Loneliness Scale (3rd version). Multivariable linear and logistic regressions were used to examine geographic differences in loneliness (measured continuously and dichotomously). FINDINGS: Mean unadjusted loneliness scores were lower in suburban compared to urban areas (35.06 vs 38.57, P = .03). The prevalence of loneliness was 50.7%, 59.0%, 40.8%, and 54.3% in small rural, large rural, suburban, and urban areas, respectively. Suburban living was associated with lower odds for being lonely compared to urban living (unadjusted OR = 0.58; 95% CI = 0.34-0.98), but this association was not statistically significant in the adjusted model (OR = 0.63; 95% CI = 0.33-1.19). CONCLUSION: Loneliness is a prevalent health issue across the rural-urban continuum among Washington State adults.

Geographic Disparities in Access to Specialty Care Programs for Early Psychosis in Washington State.

Supported by the 10% set-aside funds in the Community Mental Health Block grant, distributed at the state level, coordinated specialty care (CSC) have been widely disseminated throughout the U.S. This study explores variations in the geographical accessibility of CSC programs by neighborhood level characteristics in Washington State. CSC locations were geocoded. Socioeconomic neighborhood deprivation (i.e., Area deprivation index) and rurality (i.e., Rural-Urban Commuting Area codes) were neighborhood level characteristics extracted from the 2018 American Community Survey. Geographic accessibility of CSC was assessed using a two-step floating catchment area technique and multilevel linear models were used to examine the association between specific neighborhood characteristics and geographic accessibility. The association between access and socioeconomically deprived neighborhoods varied differentially by neighborhood rurality (an interaction effect). Model estimates indicated that the least deprived, metropolitan neighborhoods had the best access (M = 0.38; CI: 0.34, 0.42) and rural neighborhoods in the second most deprived quartile had the worst access (M = 0.16; CI: 0.11, 0.21) to CSC. There was a clear decrease in accessibility for more rural neighborhoods, regardless of other neighborhood characteristics. In conclusions, findings provide important insight into how resource distribution contributes to geographic disparities in access to CSC. The use of spatial analytic techniques has the potential to identify specific neighborhoods and populations where there is a need to expand and increase availability of CSC to ensure access to rural and socioeconomically deprived neighborhoods.

Disparities in Access to Radiation Therapy Facilities Among American Indians/Alaska Natives and Hispanics in Washington State.

PURPOSE: Racial and ethnic minorities in the state of Washington experience higher cancer mortality relative to whites. We sought to characterize differences in travel distance to radiation therapy (RT) facilities in Washington by race and ethnicity with a special focus on non-Hispanic American Indians and Alaska Natives as a contributor to limited access and cancer disparities. METHODS AND MATERIALS: Geocoded mortality data from Washington Department of Health (2011-2018) were used to identify decedents with mortality related to all-causes, all cancers, and cancers likely requiring access to RT. This was determined from optimal RT usage estimates by diagnosis. RT facility locations were ascertained from the Directory of Radiation Therapy Centers and confirmed. Distance from decedents' address listed on death certificates to nearest RT facility was calculated. Generalized mixed models were used for statistical analysis. RESULTS: We identified 418,754 deaths; 109,134 were cancer-related, 60,973 likely required RT. Among decedents with cancers likely requiring RT, non-Hispanic American Indians and Alaska Natives decedents would have had to travel 1.16 times (95% confidence interval [CI], 1.09-1.24) farther from their residences to reach the nearest treatment facility compared with non-Hispanic whites. This association existed in metro counties but was more pronounced in nonmetro counties (1.39 times farther; 95% CI, 1.22-1.58). In addition, Hispanics would have had to travel 1.11 times farther (95% CI, 1.06-1.16) to reach the nearest facility compared with non-Hispanic whites, primarily due to differences in urban counties. Decedents in nonmetro counties lived on average 35 miles (SD = 29) from RT centers and non-Hispanic American Indians and Alaska Natives in nonmetro counties 53 miles (SD = 38). Compared with non-Hispanic white decedents, those who were non-Hispanic black, non-Hispanic Asian, and non-Hispanic Native Hawaiian decedents lived closer to RT facilities. CONCLUSIONS: We observed significant disparities in access to RT facilities in Washington, specifically for non-Hispanic American Indians and Alaska Natives and rural decedents. The findings call for initiatives to improve access to critical cancer treatment services for these underserved populations with known disparities in cancer deaths.

Disparities in Technology and Broadband Internet Access Across Rurality: Implications for Health and Education.

Amidst the COVID-19 pandemic, interest in using telehealth to increase access to health and mental health care has grown, and school transitions to remote learning have heightened awareness of broadband inequities. The purpose of this study was to examine access and barriers to technology and broadband Internet service ("broadband") among rural and urban youth. Washington State public school districts were surveyed about youth's access to technology (ie, a device adequate for online learning) and broadband availability in spring 2020. Availability of and barriers to broadband (ie, geography, affordability, and smartphone-only connectivity) were assessed across rurality. Among responding districts, 64.2% (n = 172) were rural and 35.8% (n = 96) were urban. Rural districts reported significantly fewer students with access to an Internet-enabled device adequate for online learning (80.0% vs 90.1%, P < .01). Access to reliable broadband varied significantly across geography (P < .01). Compared with their urban peers, rural youth face more challenges in accessing the technology and connectivity needed for remote learning and telehealth. Given that inadequate broadband infrastructure is a critical barrier to the provision of telehealth services and remote learning in rural areas, efforts to improve policies and advance technology must consider geographical disparities to ensure health and education equity.

Access to medication-assisted treatment in the United States: Comparison of travel time to opioid treatment programs and office-based buprenorphine treatment.

OBJECTIVES: Disparities in access to medication-assisted treatment are a major problem. This study estimated and compared drive time to the nearest opioid treatment program (OTP) and office-based buprenorphine treatment (OBBT) across the urban-rural continuum in the U.S. METHODS: Drive time was calculated between the longitude and latitude of population weighted block group centroids and the longitude and latitude of the nearest OTP and OBBT. Rural-Urban Commuting Area (RUCA) codes were used for defining rurality. The Integrated Nested Laplace Approximation approach was used for statistical analysis. RESULTS: The mean travel time to the nearest OBBT compared to OTP decreased by 7.18 min (95 % CI = 7.23-7.14) in metropolitan cores, 36.63 min (95 % CI = 37.12-36.15) in micropolitan cores, 38.84 min (95 % CI = 39.57-38.10) in small town cores, and 40.16 min (95 % CI = 40.81-39.50) in rural areas. Additionally, travel burden to the nearest OTP would be more than 60 min for 13,526,605 people and more than 90 min for 5,371,852 people. The travel burden to the nearest OBBT would be more than 60 min for 845,991 people and more than 90 min for 149,297 people. CONCLUSIONS: The mean drive time to the closest OBBT was significantly smaller than the mean drive time to the closest OTP. Analysis of barriers to access is necessary to devising creative initiatives to improve access to critical opioid use disorder treatment services.

Disparities in Access to Opioid Treatment Programs and Office-Based Buprenorphine Treatment Across the Rural-Urban and Area Deprivation Continua: A US Nationwide Small Area Analysis.

OBJECTIVES: To measure access to opioid treatment programs (OTPs) and office-based buprenorphine treatment (OBBTs) at the smallest geographic unit for which the Census Bureau publishes demographic and socioeconomic data (ie, block group) and to explore disparities in access to treatment across the rural-urban and area deprivation continua across the United States. METHODS: Access to OTPs and OBBTs at the block group in 2019 was quantified using an innovative 2-step floating catchment area technique that accounts for the supply of treatment facilities relative to the population size, proximity of facilities relative to the location of population in block groups, and time as a barrier within catchments. Block groups were stratified into tertiles based on the rural-urban continuum codes (metropolitan, micropolitan, small town, or rural) and area deprivation index (least-deprived, middle-deprived, most-deprived). The Integrated Nested Laplace Approximation approach was used for statistical analysis. RESULTS: Across the United States, 3329 block groups corresponding to 2 915 949 adults lacked access to OTPs within a 2-hour drive of their community and 130 block groups corresponding to 86 605 adults did not have access to OBBTs. Disparities in access to treatment were observed across the urban-rural and area deprivation continua including (1) lowest mean access score to OBBTs were found among most-deprived small towns, and (2) lower mean access score to OTPs were found among micropolitan and small towns. CONCLUSIONS: The results of this study revealed disparities in access to medication-assisted treatment. The findings call for creative initiatives and local and regional policies to develop to mitigate access problems.

Rural-Urban Disparities in Access to Medicaid-Contracted Pharmacies in Washington State, 2017.

INTRODUCTION: Community retail pharmacies offer multiple public health services to meet the health care needs of medically underserved rural communities. Many rural residents are enrolled in Medicaid insurance, and it is important that pharmacies contract with Medicaid to meet the health care needs of these people. The objective of this study was to evaluate disparities in access to Medicaid-contracted pharmacies across the rural-urban continuum in Washington State. METHODS: We linked data on licensed community retail pharmacies in Washington State in 2017 to lists of state Medicaid-contracted pharmacies. We classified pharmacies as being located in small rural, large rural, suburban, and urban areas by using rural-urban commuting area (RUCA) codes. We evaluated the likelihood of zip code-level access to at least 1 pharmacy that was contracted with a Medicaid insurance plan across the rural-urban continuum by using descriptive statistics and modified Poisson regression models, adjusted for zip code-level community characteristics. RESULTS: Of 1,145 pharmacies in our study sample, 8.4% (n = 96) were not contracted with a Medicaid plan. Compared with urban core zip codes, small rural zip codes (adjusted relative risk [ARR] = 0.64; 95% CI, 0.46-0.91) and large rural zip codes (ARR = 0.68; 95% CI, 0.49-0.95) were significantly less likely to have access to a Medicaid-contracted pharmacy. Suburban zip codes did not differ significantly from urban core areas in their access to Medicaid-contracted pharmacies. CONCLUSION: In Washington State, the likelihood of access to a Medicaid-contracted pharmacy decreased significantly as rurality increased. Policy efforts should aim to improve access for Medicaid enrollees, especially those outside urban centers.

Environmental Correlates of Reaching a Centenarian Age: Analysis of 144,665 Deaths in Washington State for 2011-2015.

Objective: This study examined the association of several social and environmental factors on the likelihood of reaching centenarian age for older adults in Washington State. Methods: A survival analysis of reaching centenarian age for older adults aged 75 years and above was performed using Washington State mortality data from 2011-2015. Models were adjusted for sex, race, education, marital status, and neighborhood level social and environmental variables at the block group level. Geographic clusters of increased chance of becoming a centenarian were also mapped. Results: In the adjusted model, increased neighborhood walkability, lower education level, higher socioeconomic status, and a higher percent of working age population were positively associated with reaching centenarian age. Being widowed, divorced/separated, or never married were also positively correlated compared to being married. Additionally, being white or female were positively correlated with reaching centenarian status. Discussion: Several social and environmental factors are correlated with becoming a centenarian in Washington State. In this study, we explore findings that are consistent with previous research, as well as some that have not been previously explained. More research is needed to expand upon these findings in this rapidly growing field.

Area deprivation amplifies racial inequities in premature mortality: Analysis of 242,667 deaths in Washington State, USA 2011-15.

Racial and socioeconomic inequalities in health are consistently reported, but less is known about the interplay between racial and deprivation-related inequities. We used geographically-localized data on all deaths recorded in Washington state 2011 to 2015 (n = 242,667 decedents) and multi-level regression models to examine premature (<65 years) mortality by race and neighborhood deprivation separately and in combination. White versus non-white inequities in premature mortality did not vary substantially with increasing levels of deprivation. However, most non-white races from deprived neighborhoods had odds of premature mortality between three and eight times that of more-affluent whites. These findings may reflect the compounding of disadvantage stemming from social and environmental risk factors.

Proximity to Screening Site, Rurality, and Neighborhood Disadvantage: Treatment Status among Individuals with Sexually Transmitted Infections in Yakima County, Washington.

Background: Early sexually transmitted infections (STIs) diagnosis facilitates prompt treatment initiation and contributes to reduced transmission. This study examined the extent to which contextual characteristics such as proximity to screening site, rurality, and neighborhood disadvantage along with demographic variables, may influence treatment seeking behavior among individuals with STIs (i.e., chlamydia, gonorrhea, and syphilis). Methods: Data on 16,075 diagnosed cases of STIs between 2007 and 2018 in Yakima County were obtained from the Washington State Department of Health Database Surveillance System. Multilevel models were applied to explore the associations between contextual and demographic characteristics and two outcomes: (a) not receiving treatment and (b) the number of days to receiving treatment. Results: Contextual risk factors for not receiving treatment or having increased number of days to treatment were living ≥10 miles from the screening site and living in micropolitan, small towns, or rural areas. Older age was a protective factor and being female was a risk for both outcomes. Conclusions: Healthcare providers and facilities should be made aware of demographic and contextual characteristics that can impact treatment seeking behavior among individuals with STIs, especially among youth, females, and rural residents.

Characteristics of place and the rural disadvantage in deaths from highly preventable causes.

Extensive research has documented higher mortality in rural parts of the United States compared to urban areas. Much of this work focuses on aggregate rates, documenting a rural mortality penalty that has been increasing over the last three decades. Advances in place-based analyses suggest the importance of community resources for individual mortality but have largely focused on urban spaces. We advance knowledge on rural-urban mortality disparities by focusing on differences for highly preventable causes of death. Using unique geocoded mortality records from Washington state, we match individual-level attributes with area-level measures of socioeconomic conditions to examine whether characteristics of place elucidate the rural mortality penalty. We find that rural decedents have greater odds of dying from highly preventable causes compared to their urban counterparts. Place-based socioeconomic measures, meanwhile, independently associate with the odds of dying from highly preventable causes. However, we find no evidence that the relationship between socioeconomic conditions and highly preventable death varies across geographic contexts.

The Association Between Obesity, Socio-Economic Status, and Neighborhood Environment: A Multi-Level Analysis of Spokane Public Schools.

Socio economic inequities in obesity have been attributed to individuals' psychosocial and behavioral characteristics. School environment, where children spend a large part of their day, may play an important role in shaping their health. This study aims to assess whether prevalence of overweight and obesity among elementary school students was associated with the school's social and built environments. Analyses were based on 28 public elementary schools serving a total of 10,327 children in the city of Spokane, Washington. Schools were classified by percentage of students eligible for free and reduced meals (FRM). Crime rates, density of arterial roads, healthy food access, and walkability were computed in a one-mile walking catchment around schools to characterize their surrounding neighborhood. In the unadjusted multilevel logistic regression analyses, age, sex, percentage of students eligible for FRM, crime, walkability, and arterial road exposure were individually associated with the odds of being overweight or obese. In the adjusted model, the odds of being overweight or obese were higher with age, being male, and percentage of students eligible for FRM. The results call for policies and programs to improve the school environment, students' health, and safety conditions near schools.

Access to Primary Care Physicians and Mortality in Washington State: Application of a 2-Step Floating Catchment Area.

OBJECTIVE: To measure access to primary care physicians (PCPs) using a 2-step floating catchment area and explore the associations between access to PCPs and mortality related to all-causes, cancers, and heart disease in Washington State. METHODS: An ecological study employing generalized linear regression models of access to PCPs and mortality rates in 4,761 block groups in Washington State in 2015. To measure access to PCPs, we used a 2-step floating catchment area approach, taking into account area-level population, supply of PCPs, and travel time between PCPs, as well as area-level population with a distance decay function. RESULTS: A 1-unit increase in PCP access score was associated with a reduction of 4.2 all-cause deaths per 100,000 people controlling for socioeconomic characteristics. A 1-unit increase in PCP access score was associated with a reduction of 2.7 cancer deaths and a reduction of 2.1 heart disease deaths per 100,000 people controlling for socioeconomic characteristics. CONCLUSIONS: Better access to PCPs was associated with lower mortality from all-causes, cancers, and heart disease. The 2-step floating catchment area approach can help with the identification of PCP shortage areas, the development of rural residency programs, and the expansion of the physician workforce in Washington State and other regions.