Patterns of mean age at drug use initiation by race and ethnicity, 2004-2019.

INTRODUCTION: Adolescent drug use can result in clinically significant psychiatric outcomes later in life mitigated by targeted prevention strategies. While mean age of drug initiation has increased over time, there is little research of mean age of drug initiation among adolescents by race/ethnicity. METHODS: The study used the National Survey on Drug Use and Health data (2004-2019). Sample included individuals aged 12 to 21 years. Year-by-year drug use initiation (i.e., first-time use within the past year) trends examined for each drug by race/ethnicity using jointpoint regression. RESULTS: Sample included 95,022 initiates for any of 18 drugs. Year-by-year mean initiation age significantly increased for alcohol (except Non-Hispanic [NH] White, 2004-2012), tobacco cigarettes (except NH American Indian/Alaska Native [AI/AN]), cigars, marijuana (except NH Asian or Pacific Islander, NH Multiracial), cocaine (except NH Black). Significant increase in mean initiation age found for heroin (Hispanic/Latinx only), hallucinogens (NH White, NH Black only), LSD (NH White only), methamphetamines (NH White only), smokeless tobacco (NH White, NH Black only), inhalants (only NH White, NH AI/AN; NH Multiracial, 2004-2011), sedatives (NH White, Hispanic/Latinx only), stimulants (NH White, Hispanic/Latinx only), and ecstasy (NH White, NH Black, Hispanic/Latinx only). Significant decrease in mean initiation age found for alcohol (only NH White, 2013-2019), smokeless tobacco (only Hispanic/Latinx, 2015-2019; NH AI/AN, 2012-2019), and inhalants (only NH Multiracial, 2012-2019). CONCLUSION: Mean initiation age differed widely by race/ethnicity. Mean initiation age in most racial/ethnic groups increased for several drugs including alcohol, marijuana, and tobacco products and decreased for some drugs such as inhalants. These findings could help inform groups to target for future prevention strategies.

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.

Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA.

Air toxics are atmospheric pollutants with hazardous effects on health and the environment. Although methodological constraints have limited the number of air toxics assessed for associations with health and disease, advances in machine learning (ML) enable the assessment of a much larger set of environmental exposures. We used ML methods to conduct a retrospective study to identify combinations of 109 air toxics associated with asthma symptoms among 269 elementary school students in Spokane, Washington. Data on the frequency of asthma symptoms for these children were obtained from Spokane Public Schools. Their exposure to air toxics was estimated by using the Environmental Protection Agency's Air Toxics Screening Assessment and National Air Toxics Assessment. We defined three exposure periods: the most recent year (2019), the last three years (2017-2019), and the last five years (2014-2019). We analyzed the data using the ML-based Data-driven ExposurE Profile (DEEP) extraction method. DEEP identified 25 air toxic combinations associated with asthma symptoms in at least one exposure period. Three combinations (1,1,1-trichloroethane, 2-nitropropane, and 2,4,6-trichlorophenol) were significantly associated with asthma symptoms in all three exposure periods. Four air toxics (1,1,1-trichloroethane, 1,1,2,2-tetrachloroethane, BIS (2-ethylhexyl) phthalate (DEHP), and 2,4-dinitrophenol) were associated only in combination with other toxics, and would not have been identified by traditional statistical methods. The application of DEEP also identified a vulnerable subpopulation of children who were exposed to 13 of the 25 significant combinations in at least one exposure period. On average, these children experienced the largest number of asthma symptoms in our sample. By providing evidence on air toxic combinations associated with childhood asthma, our findings may contribute to the regulation of these toxics to improve children's respiratory health.

Urban green and blue spaces and general and mental health among older adults in Washington state: Analysis of BRFSS data between 2011-2019.

A growing body of evidence highlights the significant effect of built environment features on mental and general health. This study examined the association between distance to and percentage of green and blue space measures and serious psychological distress, general health, and frequent mental distress among older adults living in urban ZIP codes in Washington state. Percentage of green space, particularly tree canopy and forest space, was significantly associated with better self-rated general health and reduced odds of serious psychological distress. Closer distance to blue space was associated with better self-rated general health. Programs which incentivize exposure to green and blue spaces for urban-dwelling, older adults may improve health 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.

Disparities in access to opioid treatment programs and buprenorphine providers by race and ethnicity in the contiguous U.S.

BACKGROUND: The burden of drug overdose mortality varies by race and ethnicity, with American Indian/Alaska Native (AI/AN), Black, and White people experiencing the largest burden. We analyzed census block group data to evaluate differences in travel distance to opioid treatment programs (OTP) and buprenorphine providers by race and ethnicity. METHODS: The Substance Abuse and Mental Health Services Administration provided the addresses of OTPs and buprenorphine providers. The study classified block groups as majority (≥50 %) AI/AN, Black, Asian, White, no single racial majority, or Hispanic. We classified deprivation and rurality using the Area Deprivation Index and Rural-Urban Commuting Area codes. The study applied generalized linear mixed models. RESULTS: Among all block groups, the median road distance to the nearest OTPs and buprenorphine providers was 8 and 2 miles, respectively. AI/AN-majority block groups had the longest median distances to OTPs (88 miles versus 4-10 miles) and buprenorphine providers (17 miles versus 1-3 miles) compared to other racial or ethnic majority block groups. For OTPs and buprenorphine providers, travel distances were slightly greater in more deprived block groups compared to less deprived block groups. The median distance to the nearest OTPs and buprenorphine providers were larger in micropolitan and small town/rural block groups compared to metropolitan areas. CONCLUSIONS: Disparities exist in travel distance to OTPs and buprenorphine providers. People in block groups with AI/AN-majority, nonmetropolitan, or more deprived designation experience travel disparities accessing treatment. Future research should develop targeted interventions to reduce access to care disparities for individuals with opioid use disorder.

Travel Burden to Cancer Screening and Treatment Facilities Among Washington Women: Data From an Integrated Healthcare Delivery System.

PURPOSE: To characterize distance traveled for breast cancer screening and to sites of service for breast cancer treatment, among rural and urban women served by a Washington State healthcare network. METHODS: Data for this study came from one of the largest not-for-profit integrated healthcare delivery systems in Washington State. Generalized linear mixed models with gamma log link function were used to examine the associations between travel distance and sociodemographic and contextual characteristics of patients. RESULTS: Median travel distance for breast cancer screening facilities, hematologist/oncologists, radiation oncologists, or surgeons was 11, 19, 23, or 11 miles, respectively. Travel distance to breast cancer screening or referral facilities was longer in non-core metropolitan ZIP codes compared to metropolitan ZIP codes. AI/AN and Hispanic women travelled longer distances to reach referral facilities compared to other racial and ethnic groups. CONCLUSION: Disparities exist in travel distance to breast cancer screening and treatment. Further research is needed to describe sociodemographic and system level characteristics that contribute to such disparities and to discover novel approaches to alleviate this burden.

Study protocol for a multi-level cross-sectional study on the equitable reach and implementation of coordinated specialty care for early psychosis.

BACKGROUND: Approximately 115,000 young adults will experience their first episode of psychosis (FEP) each year in the USA. Coordinated specialty care (CSC) for early psychosis is an evidence-based early intervention model that has demonstrated effectiveness by improving quality of life and reducing psychiatric symptoms for many individuals. Over the last decade, there has significant increase in the implementation of CSC programs throughout the USA. However, prior research has revealed difficulties among individuals and their family members accessing CSC. Research has also shown that CSC programs often report the limited reach of their program to underserved populations and communities (e.g., ethnoracial minorities, rural and low socioeconomic neighborhoods). Dissemination and implementation research focused on the equitable reach and implementation of CSC is needed to address disparities at the individual level. METHODS: The proposed study will create a novel integrative multi-level geospatial database of CSC programs implemented throughout the USA that will include program-level data (e.g., geocoded location, capacity, setting, role availability), provider-level data (race, ethnicity, professional credentials), and neighborhood-level census data (e.g., residential segregation, ethnic density, area deprivation, rural-urban continua, public transit time). This database will be used to characterize variations in CSC programs by geographical location and examine the overall reach CSC programs to specific communities. The quantitative data will be combined with qualitative data from state administrators, providers, and service users that will inform the development of dissemination tools, such as an interactive dashboard, that can aid decision making. DISCUSSION: Findings from this study will highlight the impact of outer contextual determinants on implementation and reach of mental health services, and will serve to inform the future implementation of CSC programs with a primary focus on equity.

Opioid use and COVID-19: a secondary analysis of the impact of relaxation of methadone take-home dosing guidelines on use of illicit opioids.

Background: An exemption to existing U.S. regulation of methadone maintenance therapy after the onset of the COVID-19 pandemic permitted increased take-home doses beginning March 2020.Objectives: We assessed the impact of this exemption on opioid use.Methods: A pre/post study of 187 clients recruited from an OTP who completed a survey and consented to share their urine drug testing (UDT) data. Use of fentanyl, morphine, hydromorphone, codeine, and heroin was assessed via UDT. Receipt of take-home methadone doses was assessed from clinic records for 142 working days pre- and post-COVID exemption. Analysis was conducted using a linear regression model to assess the association between increased take-home doses and use of illicit opioids.Results: In the pre- vs. post-COVID-19 SAMHSA exemption periods, 26.2% vs. 36.3% of UDTs were positive for 6-acetylmorphine respectively, 32.6% vs. 40.6% positive for codeine, 34.2% vs 44.2% positive for hydromorphone, 39.5% vs. 48.1% positive for morphine, 8.0% vs. 14.4% positive for fentanyl (p-value < .001). However, in the unadjusted descriptive data, when grouped by change in substance use, those clients who experienced a decrease in the use of morphine, codeine, and heroin post-COVID-19 were given significantly more take-home doses than the groups that had no change or an increase in the use of these substances. In the adjusted model, there was no significant relationship between change in opioid use and increased receipt of take-home methadone doses.Conclusions: Although take-home doses post-COVID-19 nearly doubled, this increase was not associated with a significant change in use of illicit opioids.

Trends in Alzheimer Disease Mortality Among American Indian and Alaska Native People Between 2011 and 2019.

PURPOSE: The number of American Indian and Alaska Native (AI/AN) people living with dementia is expected to increase 5-fold by 2060. Social determinants of health may explain disparities in the incidence of Alzheimer disease (AD) but remain largely overlooked. METHODS: We examined the time trend of AD mortality rates and associations of the percentage of AI/ANs, density of primary care physicians and neurologists, area deprivation index, rurality, and Indian Health Service region with AD mortality in 646 purchased/referred care delivery area counties. RESULTS: AD mortality rates significantly increased over time. Counties with higher concentrations of AI/AN people had lower AD mortality. More deprived counties had 34% higher AD mortality compared with less deprived counties. AD mortality was 20% lower in nonmetro counties than in metro counties. CONCLUSIONS: Findings have implications for prioritizing areas where more resources for AD care, education, or outreach are needed.

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.

Yakima County Incidence Rates of Sexually Transmitted Infections From 2013 to 2018 in Urban-Rural and Area-Deprivation Continua.

BACKGROUND: This study aimed to examine variations in the incidence rates of sexually transmitted infections (STIs; i.e., chlamydia, gonorrhea, and syphilis) across the urban-rural and area-deprivation continua from January of 2013 to December of 2018 in Yakima County, Washington. The rates of STIs has been increasing in the United States in the past decade. Historically, Yakima County has higher rates of STIs than state and national rates. In addition, Yakima County contains rural areas and areas with greater deprivation that face gaps in access to care. METHODS: The Washington State Department of Health Database Surveillance System was used to conduct the study. The data set included diagnosed cases of chlamydia, gonorrhea, and syphilis with positive laboratory test results for the duration of the study period. Incidence rates of STIs were calculated and statistically analyzed across the urban-rural and area-deprivation continua using rural-urban commuting area codes and the area deprivation index. RESULTS: The incidence rates of STIs increased from January of 2013 to December of 2018. Rates of STI did not differ in micropolitan, small town, and rural block groups compared with the metropolitan block groups. Most-deprived block groups had significantly higher STI rates compared with less deprived block groups. CONCLUSIONS: There is a need for increased STI intervention in higher deprivation areas including STI education. Public health officials and health care providers should be aware of these risk factors and tailor interventions to the neighborhood they serve.

Variations in national availability of waivered buprenorphine prescribers by racial and ethnic composition of zip codes.

BACKGROUND: Opioid overdose remains a public health crisis in diverse communities. Between 2019 and 2020, there was an almost 40% increase in drug fatalities primarily due to opioid analogues of both stimulants and opioids. Medications for opioid use disorder (MOUD; e.g., buprenorphine) are effective, evidence-based treatments that can be delivered in office-based primary care settings. We investigated disparities in the proportion of national prescribers who have obtained a waiver issued to prescribe MOUD by demographic characteristics. METHODS: Data for the secondary data analyses were obtained from the Drug Enforcement Administration that maintains data on waivered MOUD prescribers across the US. Proportion of waivered prescribers were examined by ZIP code, race and ethnicity composition, socioeconomic status, insurance, and urban-rural designation using generalized linear mixed effects models. RESULTS: Compared with predominantly Non-Hispanic White ZIP codes, other racially and ethnically diverse areas had a higher proportion of waivered buprenorphine prescribers. Differences in prescriber availability between predominant racial group was dependent on rurality based on the interaction found in our fitted model. In metropolitan areas, we found that predominantly Non-Hispanic White ZIP codes had a lower rate of waivered prescribers compared to predominantly Black/African American ZIP codes. CONCLUSIONS: Our findings suggest that among AI/AN and Black/African American neighborhoods, availability of waivered prescribers may not be a primary barrier. However, availability of waivered prescribers and prescribing might potentially be an obstacle for Hispanic/Latinx and rural communities. Additional research to determine factors related to improving MOUD availability among diverse communities therefore remains vital to advancing health equity.

Racial and socioeconomic inequities in breast cancer screening before and during the COVID-19 pandemic: analysis of two cohorts of women 50 years + .

BACKGROUND: Routine screening mammography at two-year intervals is widely recommended for the prevention and early detection of breast cancer for women who are 50 years + . Racial and other sociodemographic inequities in routine cancer screening are well-documented, but less is known about how these long-standing inequities were impacted by the disruption in health services during the COVID-19 pandemic. Early in the pandemic, cancer screening and other prevention services were suspended or delayed, and these disruptions may have had to disproportionate impact on some sociodemographic groups. We tested the hypothesis that inequities in screening mammography widened during the pandemic. METHODS: A secondary analysis of patient data from a large state-wide, non-profit healthcare system in Washington State. Analyses were based on two mutually exclusive cohorts of women 50 years or older. The first cohort (n = 18,197) were those women screened in 2017 who would have been due for repeat screening in 2019 (prior to the pandemic's onset). The second cohort (n = 16,391) were women screened in 2018 due in 2020. Explanatory variables were obtained from patient records and included race/ethnicity, age, rural or urban residence, and insurance type. Multivariable logistic regression models estimated odds of two-year screening for each cohort separately. Combining both cohorts, interaction models were used to test for differences in inequities before and during the pandemic. RESULTS: Significant sociodemographic differences in screening were confirmed during the pandemic, but these were similar to those that existed prior. Based on interaction models, women using Medicaid insurance and of Asian race experienced significantly steeper declines in screening than privately insured and white women (Odds ratios [95% CI] of 0.74 [0.58-0.95] and 0.76 [0.59-0.97] for Medicaid and Asian race, respectively). All other sociodemographic inequities in screening during 2020 were not significantly different from those in 2019. CONCLUSIONS: Our findings confirm inequities for screening mammograms during the first year of the COVID-19 pandemic and provide evidence that these largely reflect the inequities in screening that were present before the pandemic. Policies and interventions to tackle long-standing inequities in use of preventive services may help ensure continuity of care for all, but especially for racial and ethnic minorities and the socioeconomically disadvantaged.

COVID-19 and inequities in colorectal and cervical cancer screening and diagnosis in Washington State.

INTRODUCTION: Studies have shown that cancer screenings dropped dramatically following the onset of the coronavirus diseases 2019 (COVID-19) pandemic. In this study, we examined differences in rates of cervical and colorectal cancer (CRC) screening and diagnosis indicators before and during the first year of the COVID-19 pandemic. METHODOLOGY: We used retrospective data from a large healthcare system in Washington State. Targeted screening data included completed cancer screenings for both CRC (colonoscopy) and cervical cancer (Papanicolaou test (Pap test)). We analyzed and compared the rate of uptake of colorectal (colonoscopies) and cervical cancer (Pap) screenings done pre-COVID-19 (April 1, 2019-March 31, 2020) and during the pandemic (April 1, 2020-March 31, 2021). RESULTS: A total of 26,081 (12.7%) patients underwent colonoscopies in the pre-COVID-19 period, compared to only 15,708 (7.4%) patients during the pandemic, showing a 39.8% decrease. A total of 238 patients were referred to medical oncology for CRC compared to only 155 patients during the first year of the pandemic, a reduction of 34%. In the pre-COVID-19 period, 22,395 (10.7%) women were administered PAP tests compared to 20,455 (9.6%) women during the pandemic, for a 7.4% reduction. period 1780 women were referred to colposcopy, compared to only 1680 patients during the pandemic, for a 4.3% reduction. CONCLUSION: Interruption in screening and subsequent delay in diagnosis during the pandemic will likely lead to later-stage diagnoses for both CRC and cervical cancer, which is known to result in decreased survival. IMPACT: The results emphasize the need to prioritize cancer screening, particularly for those at higher risk.

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.