Comparison of the characteristics of the population eligible for lung cancer screening under 2013 and population newly eligible under 2021 US Preventive Services Task Force recommendations.

PURPOSE: In 2021, the United States Preventive Services Task Force (USPSTF) revised their 2013 recommendations for lung cancer screening eligibility by lowering the pack-year history from 30+ to 20+ pack-years and the recommended age from 55 to 50 years. Simulation studies suggest that Black persons and females will benefit most from these changes, but it is unclear how the revised USPSTF recommendations will impact geographic, health-related, and other sociodemographic characteristics of those eligible. METHODS: This cross-sectional study employed data from the 2017-2020 Behavioral Risk Factor Surveillance System surveys from 23 states to compare age, gender, race, marital, sexual orientation, education, employment, comorbidity, vaccination, region, and rurality characteristics of the eligible population according to the original 2013 USPSTF recommendations with the revised 2021 USPSTF recommendations using chi-squared tests. This study compared those originally eligible to those newly eligible using the BRFSS raking-dervived weighting variable. RESULTS: There were 30,190 study participants. The results of this study found that eligibility increased by 62.4% due to the revised recommendations. We found that the recommendation changes increased the proportion of eligible females (50.1% vs 44.1%), Black persons (9.2% vs 6.6%), Hispanic persons (4.4% vs 2.7%), persons aged 55-64 (55.8% vs 52.6%), urban-dwellers(88.3% vs 85.9%), unmarried (3.4% vs 2.5%) and never married (10.4% vs 6.6%) persons, as well as non-retirees (76.5% vs 56.1%) Respondents without comorbidities and COPD also increased. CONCLUSION: It is estimated that the revision of the lung cancer screening recommendations decreased eligibility disparities in sex, race, ethnicity, marital status, respiratory comorbidities, and vaccination status. Research will be necessary to estimate whether uptake patterns subsequently follow the expanded eligibility patterns.

Availability and Quality of Dialysis Care in Rural versus Urban US Counties.

INTRODUCTION: Rural areas face significant disparities in dialysis care compared to urban areas due to limited access to dialysis facilities, longer travel distances, and a shortage of healthcare professionals. The objective of this study was to conduct a national examination of rural-urban differences in quality of dialysis care offered across counties in the USA. METHODS: Data were gathered from Medicare-certified dialysis facilities in 2020 from the Centers for Medicare and Medicaid Services website. To identify high-need counties, county-level estimated crude prevalence of diabetes in adults was obtained from the 2022 CDC PLACES data portal. Our analysis reviewed 3,141 counties in the USA. The primary outcome measured was whether the county had a dialysis facility. Among those counties that had a dialysis facility, additional outcomes were the average star rating, whether peritoneal dialysis was offered, and whether home dialysis was offered. RESULTS: The type of services offered by dialysis facilities varied significantly, with peritoneal dialysis being the most commonly offered service (50.8%), followed by home hemodialysis (28.5%) and late-shift services (16.0%). These service availabilities are more prevalent in urban facilities than in rural facilities. The Centers for Medicare and Medicaid Services Five Star Quality ratings were quite different between urban and rural facilities, with 40.4% of rural facilities having a ranking of five, compared to 27.1% in urban. CONCLUSION: The majority of rural counties lack a single dialysis facility. Counties with high rates of chronic kidney disease, diabetes, and blood pressure, deemed high need, were less likely to have a highly rated dialysis facility. The findings can be used to further inform targeted efforts to increase diabetes educational programming and design appropriate interventions to those residing in rural communities and high-need counties who may need it the most.

Travel Burden and Timely Linkage to Care Among People Newly Diagnosed with HIV Infection in South Carolina from 2005 to 2020.

This retrospective study explored the association between travel burden and timely linkage to care (LTC) among people with HIV (PWH) in South Carolina. HIV care data were derived from statewide all-payer electronic health records, and timely LTC was defined as having at least one viral load or CD4 count record within 90 days after HIV diagnosis before the year 2015 and 30 days after 2015. Travel burden was measured by average driving time (in minutes) to any healthcare facility visited within six months before and one month after the initial HIV diagnosis. Multivariable logistic regression models with the least absolute shrinkage and selection operator were employed. From 2005 to 2020, 81.2% (3,547 out of 4,366) of PWH had timely LTC. Persons who had longer driving time (adjusted Odds Ratio (aOR): 0.37, 95% CI: 0.14-0.99), were male versus female (aOR: 0.73, 95% CI: 0.58-0.91), had more comorbidities (aOR: 0.73, 95% CI: 0.57-0.94), and lived in counties with a higher percentage of unemployed labor force (aOR: 0.21, 95% CI: 0.06-0.71) were less likely to have timely LTC. However, compared to those aged between 18 and 24 years old, those aged between 45 and 59 (aOR:1.47, 95% CI: 1.14-1.90) or older than 60 (aOR:1.71, 95% CI: 1.14-2.56) were more likely to have timely LTC. Concentrated and sustained interventions targeting underserved communities and the associated travel burden among newly diagnosed PWH who are younger, male, and have more comorbidities are needed to improve LTC and reduce health disparities.

Chronic Disease Prevalence in the US: Sociodemographic and Geographic Variations by Zip Code Tabulation Area.

Introduction: We examined the geographic distribution and sociodemographic and economic characteristics of chronic disease prevalence in the US. Understanding disease prevalence and its impact on communities is crucial for effective public health interventions. Methods: Data came from the American Community Survey, the American Hospital Association Survey, and the Centers for Disease Control and Prevention's PLACES. We used quartile thresholds for 10 chronic diseases to assess chronic disease prevalence by Zip Code Tabulation Areas (ZCTAs). ZCTAs were scored from 0 to 20 based on their chronic disease prevalence quartile. Three prevalence categories were established: least prevalent (score ≤6), moderately prevalent (score 7-13), and highest prevalence (score ≥14). Community characteristics were compared across categories and spatial analyses to identify clusters of ZCTAs with high disease prevalence. Results: Our study showed a high prevalence of chronic disease in the southeastern region of the US. Populations in ZCTAs with the highest prevalence showed significantly greater socioeconomic disadvantages (ie, lower household income, lower home value, lower educational attainment, and higher uninsured rates) and barriers to health care access (lower percentage of car ownership and longer travel distances to hospital-based intensive care units, emergency departments, federally qualified health centers, and pharmacies) compared with ZCTAs with the lowest prevalence. Conclusion: Socioeconomic disparities and health care access should be addressed in communities with high chronic disease prevalence. Carefully directed resource allocation and interventions are necessary to reduce the effects of chronic disease on these communities. Policy makers and clinicians should prioritize efforts to reduce chronic disease prevalence and improve the overall health and well-being of affected communities throughout the US.

Uncovering the Complexity of Perinatal Polysubstance Use Disclosure Patterns on X: Mixed Methods Study.

BACKGROUND: According to the Morbidity and Mortality Weekly Report, polysubstance use among pregnant women is prevalent, with 38.2% of those who consume alcohol also engaging in the use of one or more additional substances. However, the underlying mechanisms, contexts, and experiences of polysubstance use are unclear. Organic information is abundant on social media such as X (formerly Twitter). Traditional quantitative and qualitative methods, as well as natural language processing techniques, can be jointly used to derive insights into public opinions, sentiments, and clinical and public health policy implications. OBJECTIVE: Based on perinatal polysubstance use (PPU) data that we extracted on X from May 1, 2019, to October 31, 2021, we proposed two primary research questions: (1) What is the overall trend and sentiment of PPU discussions on X? (2) Are there any distinct patterns in the discussion trends of PPU-related tweets? If so, what are the implications for perinatal care and associated public health policies? METHODS: We used X's application programming interface to extract >6 million raw tweets worldwide containing ≥2 prenatal health- and substance-related keywords provided by our clinical team. After removing all non-English-language tweets, non-US tweets, and US tweets without disclosed geolocations, we obtained 4848 PPU-related US tweets. We then evaluated them using a mixed methods approach. The quantitative analysis applied frequency, trend analysis, and several natural language processing techniques such as sentiment analysis to derive statistics to preview the corpus. To further understand semantics and clinical insights among these tweets, we conducted an in-depth thematic content analysis with a random sample of 500 PPU-related tweets with a satisfying κ score of 0.7748 for intercoder reliability. RESULTS: Our quantitative analysis indicates the overall trends, bigram and trigram patterns, and negative sentiments were more dominant in PPU tweets (2490/4848, 51.36%) than in the non-PPU sample (1323/4848, 27.29%). Paired polysubstance use (4134/4848, 85.27%) was the most common, with the combination alcohol and drugs identified as the most mentioned. From the qualitative analysis, we identified 3 main themes: nonsubstance, single substance, and polysubstance, and 4 subthemes to contextualize the rationale of underlying PPU behaviors: lifestyle, perceptions of others' drug use, legal implications, and public health. CONCLUSIONS: This study identified underexplored, emerging, and important topics related to perinatal PPU, with significant stigmas and legal ramifications discussed on X. Overall, public sentiments on PPU were mixed, encompassing negative (2490/4848, 51.36%), positive (1884/4848, 38.86%), and neutral (474/4848, 9.78%) sentiments. The leading substances in PPU were alcohol and drugs, and the normalization of PPU discussed on X is becoming more prevalent. Thus, this study provides valuable insights to further understand the complexity of PPU and its implications for public health practitioners and policy makers to provide proper access and support to individuals with PPU.

Rural-Urban Differences in Self-Reported Participation in Diabetes Self-Management Education.

CONTEXT: Rural America faces a dual challenge with a higher prevalence of diabetes mellitus (hereafter, diabetes) and diabetes-related mortality. Diabetes self-management education (DSME) can improve glucose control and reduce adverse effects of diabetes, but certified DSME programs remain disproportionately limited in rural counties than in urban counties. OBJECTIVE: The goal of this study is to examine the proportion of urban and rural adults who report having received DSME using a nationwide, 29-state survey while considering the potential consequences of lower service availability. DESIGN: This cross-sectional study used data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Residence was defined as urban (metropolitan county) vs rural (non-metropolitan county). Logistic regression, incorporated survey weights, was used to determine the odds of having received DSME by residence. SETTING: BRFSS is a nationally representative survey, and this study included participants from 29 states that were distributed throughout all regions of the United States. PARTICIPANTS: The study sample consisted of 28,179 adults who reported having diabetes, lived in one of the states that administered the diabetes module in 2019, and answered all relevant questions. MAIN OUTCOME MEASURES: The main outcome measure was whether a participant had ever received DSME. Participants were considered to have received DSME if they self-reported having ever taken a class on how to manage diabetes themselves. RESULTS: Overall, 54.5% of participants reported having received DSME; proportionately fewer rural residents (50.4%, ±1.1%) than urban residents (55.5%, ±1.0%) reported DSME. Rural disparities persisted after adjusting for demographic, enabling, and need factors (Adjusted Odds Ratio = 0.79; CI, 0.71-0.89). By sociodemographic factors, Hispanic persons vs non-Hispanic White persons and single vs married/coupled individuals were less likely to report DSME receipt (both 0.76 [0.62-0.94]). CONCLUSIONS: Ongoing national efforts addressing rural disparities in diabetes-related complications should target individuals most at risk for missing current diabetes educational programming and design appropriate interventions.

Geographic Differences in School Success Among Children and Adolescents in the United States.

The purpose of this study was to examine the relationship between rurality and challenges to school success: lack of school engagement, school absenteeism, and repeated grade. Cross-sectional data from the 2020 to 2021 National Survey of Children's Health, children ages 6 to 17 (n = 42,089), was used. Bivariate and multivariable logistic regression models were used to examine the associations between residence rurality and each outcome of interest. In bivariate analysis, rural children were more likely to have school absenteeism and repeat a school grade. In our adjusted models, there were no differences between rurality and the three measures of school success. Rural and urban children may be vulnerable to different risk factors for school failure. Findings from this study may be used by school nurses and policymakers as they design and implement programs in rural schools.

Dual Barriers: Examining Digital Access and Travel Burdens to Hospital Maternity Care Access in the United States, 2020.

Policy Points The White House Blueprint for Addressing the Maternal Health Crisis report released in June 2022 highlighted the need to enhance equitable access to maternity care. Nationwide hospital maternity unit closures have worsened the maternal health crisis in underserved communities, leaving many birthing people with few options and with long travel times to reach essential care. Ensuring equitable access to maternity care requires addressing travel burdens to care and inadequate digital access. Our findings reveal socioeconomically disadvantaged communities in the United States face dual barriers to maternity care access, as communities located farthest away from care facilities had the least digital access. CONTEXT: With the increases in nationwide hospital maternity unit closures, there is a greater need for telehealth services for the supervision, evaluation, and management of prenatal and postpartum care. However, challenges in digital access persist. We examined associations between driving time to hospital maternity units and digital access to understand whether augmenting digital access and telehealth services might help mitigate travel burdens to maternity care. METHODS: This cross-sectional study used 2020 American Hospital Association Annual Survey data for hospital maternity unit locations and 2020 American Community Survey five-year ZIP Code Tabulation Area (ZCTA)-level estimates of household digital access to telecommunication technology and broadband. We calculated driving times of the fastest route from population-weighted ZCTA centroids to the nearest hospital maternity unit. Rural-urban stratified generalized median regression models were conducted to examine differences in ZCTA-level proportions of household lacking digital access equipment (any digital device, smartphones, tablet), and lacking broadband subscriptions by spatial accessibility to maternity units. FINDINGS: In 2020, 2,905 (16.6%) urban and 3,394 (39.5%) rural ZCTAs in the United States were located >30 minutes from the nearest hospital maternity units. Regardless of rurality, these communities farther away from a maternity unit had disproportionally lower broadband and device accessibility. Although urban communities have greater digital access to technology and broadband subscriptions compared to rural communities, disparities in the percentage of households with access to digital devices were more pronounced within urban areas, particularly between those with and without close proximity to a hospital maternity unit. Communities where nearest hospital maternity units were >30 minutes away had higher poverty and uninsurance rates than those with <15-minute access. CONCLUSIONS: Socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access. To optimize maternity care access, ongoing efforts (e.g., Affordable Connectivity Program introduced in the 2021 Infrastructure Act), should bridge the gaps in digital access and target communities with substantial travel burdens to care and limited digital access.

Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age.

BACKGROUND: Despite previous research findings on higher risks of stillbirth among pregnant individuals with SARS-CoV-2 infection, it is unclear whether the gestational timing of viral infection modulates this risk. OBJECTIVE: This study aimed to examine the association between timing of SARS-CoV-2 infection during pregnancy and risk of stillbirth. STUDY DESIGN: This retrospective cohort study used multilevel logistic regression analyses of nationwide electronic health records in the United States. Data were from 75 healthcare systems and institutes across 50 states. A total of 191,403 pregnancies of 190,738 individuals of reproductive age (15-49 years) who had childbirth between March 1, 2020 and May 31, 2021 were identified and included. The main outcome was stillbirth at ≥20 weeks of gestation. Exposures were the timing of SARS-CoV-2 infection: early pregnancy (<20 weeks), midpregnancy (21-27 weeks), the third trimester (28-43 weeks), any time before delivery, and never infected (reference). RESULTS: We identified 2342 (1.3%) pregnancies with COVID-19 in early pregnancy, 2075 (1.2%) in midpregnancy, and 12,697 (6.9%) in the third trimester. After adjusting for maternal and clinical characteristics, increased odds of stillbirth were observed among pregnant individuals with SARS-CoV-2 infection only in early pregnancy (odds ratio, 1.75, 95% confidence interval, 1.25-2.46) and midpregnancy (odds ratio, 2.09; 95% confidence interval, 1.49-2.93), as opposed to pregnant individuals who were never infected. Older age, Black race, hypertension, acute respiratory distress syndrome or acute respiratory failure, and placental abruption were found to be consistently associated with stillbirth across different trimesters. CONCLUSION: Increased risk of stillbirth was associated with COVID-19 only when pregnant individuals were infected during early and midpregnancy, and not at any time before the delivery or during the third trimester, suggesting the potential vulnerability of the fetus to SARS-CoV-2 infection in early pregnancy. Our findings underscore the importance of proactive COVID-19 prevention and timely medical intervention for individuals infected with SARS-CoV-2 during early and midpregnancy.

Association of rurality, type of primary caregiver and place of death with end-of-life medical expenditures among the oldest-old population in China.

BACKGROUND: Understanding whether the type of primary caregiver and end-of-life (EOL) care location are associated with EOL medical expenditures is crucial to inform global debates on policies for efficient and effective EOL care. This study aims to assess trends in the type of primary caregiver and place of death stratified by rural‒urban status among the oldest-old population from 1998-2018 in China. A secondary objective is to determine the associations between rurality, the type of primary caregiver, place of death and EOL medical expenditures.  METHODS: A total of 20,149 deaths of people aged 80 years or older were derived from the Chinese Longitudinal Health Longevity Survey (CLHLS). Cochran-Armitage tests and Cuzick's tests were used to test trends in the type of primary caregiver and place of death over time, respectively. Tobit models were used to estimate the marginal associations of rurality, type of primary caregiver, and place of death with EOL medical expenditures because CLHLS sets 100,000 Chinese yuan (approximately US$15,286) as the upper limit of the outcome variable.  RESULTS: Of the 20,149 oldest-old people, the median age at death was 97 years old, 12,490 (weighted, 58.6%, hereafter) were female, and 8,235 lived in urban areas. From 1998-2018, the prevalence of informal caregivers significantly increased from 94.3% to 96.2%, and home death significantly increased from 86.0% to 89.5%. The proportion of people receiving help from informal caregivers significantly increased in urban decedents (16.5%) but decreased in rural decedents (-4.0%), while home death rates significantly increased among both urban (15.3%) and rural (1.8%) decedents. In the adjusted models, rural decedents spent less than urban decedents did (marginal difference [95% CI]: $-229 [$-378, $-80]). Those who died in hospitals spent more than those who died at home ($798 [$518, $1077]). No difference in medical expenditures by type of primary caregiver was observed. CONCLUSIONS: Over the past two decades, the increases in informal caregiver utilization and home deaths were unequal, leading to substantially higher EOL medical expenditures among urban decedents and deceased individuals who died at hospitals than among their counterparts who lived in rural areas and died at home.

Racial disparities in adequacy of prenatal care during the COVID-19 pandemic in South Carolina, 2018-2021.

BACKGROUND: During the COVID-19 pandemic, hospitals' decision of not admitting pregnant women's partner or support person, and pregnant women's fear of contracting COVID-19 in hospitals may disrupt prenatal care. We aimed to examine whether prenatal care utilization in South Carolina varied before and during the COVID-19 pandemic, and whether the variation was different by race. METHODS: We utilized 2018-2021 statewide birth certificate data using a pre-post design, including all women who delivered a live birth in South Carolina. The Kotelchuck Index - incorporating the timing of prenatal care initiation and the frequency of gestational age-adjusted visits - was employed to categorize prenatal care into inadequate versus adequate care. Self-reported race includes White, Black, and other race groups. Multiple logistic regression models were used to calculate adjusted odds ratio of inadequate prenatal care and prenatal care initiation after first trimester by maternal race before and during the pandemic. RESULTS: A total of 118,925 women became pregnant before the pandemic (before March 2020) and 29,237 women during the COVID-19 pandemic (March 2020 - June 2021). Regarding race, 65.2% were White women, 32.0% were Black women and 2.8% were of other races. Lack of adequate prenatal care was more prevalent during the pandemic compared to pre-pandemic (24.1% vs. 21.6%, p < 0.001), so was the percentage of initiating prenatal care after the first trimester (27.2% vs. 25.0%, p < 0.001). The interaction of race and pandemic period on prenatal care adequacy and initiation was significant. The odds of not receiving adequate prenatal care were higher during the pandemic compared to before for Black women (OR 1.26, 95% CI 1.20-1.33) and White women (OR 1.10, 95% CI 1.06-1.15). The odds of initiating prenatal care after the first trimester were higher during the pandemic for Black women (OR 1.18, 95% CI 1.13-1.24) and White women (OR 1.09, 95% CI 1.04-1.13). CONCLUSIONS: Compared to pre-pandemic, the odds of not receiving adequate prenatal care in South Carolina was increased by 10% for White women and 26% for Black women during the pandemic, highlighting the needs to develop individual tailored interventions to reverse this trend.

Rural-Urban Disparities in Hospital Admissions and Mortality Among Patients with COVID-19: Evidence from South Carolina from 2021 to 2022.

Although rural communities have been hard-hit by the COVID-19 pandemic, there is limited evidence on COVID-19 outcomes in rural America using up-to-date data. This study aimed to estimate the associations between hospital admissions and mortality and rurality among COVID-19 positive patients who sought hospital care in South Carolina. We used all-payer hospital claims, COVID-19 testing, and vaccination history data from January 2021 to January 2022 in South Carolina. We included 75,545 hospital encounters within 14 days after positive and confirmatory COVID-19 testing. Associations between hospital admissions and mortality and rurality were estimated using multivariable logistic regressions. About 42% of all encounters resulted in an inpatient hospital admission, while hospital-level mortality was 6.3%. Rural residents accounted for 31.0% of all encounters for COVID-19. After controlling for patient-level, hospital, and regional characteristics, rural residents had higher odds of overall hospital mortality (Adjusted Odds Ratio - AOR = 1.19, 95% Confidence Intervals - CI = 1.04-1.37), both as inpatients (AOR = 1.18, 95% CI = 1.05-1.34) and as outpatients (AOR = 1.63, 95% CI = 1.03-2.59). Sensitivity analyses using encounters with COVID-like illness as the primary diagnosis only and encounters from September 2021 and beyond - a period when the Delta variant was dominant and booster vaccination was available - yielded similar estimates. No significant differences were observed in inpatient hospitalizations (AOR = 1.00, 95% CI = 0.75-1.33) between rural and urban residents. Policymakers should consider community-based public health approaches to mitigate geographic disparities in health outcomes among disadvantaged population subgroups.

Rural-Urban Differences in Overweight and Obesity, Physical Activity, and Food Security Among Children and Adolescents.

INTRODUCTION: Childhood obesity has been associated with numerous poor health conditions, with geographic disparities demonstrated. Limited research has examined the association between rurality and food security, physical activity, and overweight or obesity among children. We examined rates of food security, physical inactivity, and overweight or obesity among rural and urban children and adolescents, and associations between rurality and these 3 outcomes. METHODS: We used cross-sectional data from a nationally representative sample of children and adolescents aged 10 to 17 years from the 2019-2020 National Survey of Children's Health (N = 23,199). We calculated frequencies, proportions, and unadjusted associations for each variable by using descriptive statistics and bivariate analyses. We used multivariable logistic regression models to examine the association between rurality and food security, physical activity, and overweight or obesity. RESULTS: After adjusting for sociodemographic factors, rural children and adolescents had higher odds than urban children and adolescents of being overweight or obese (adjusted odds ratio = 1.30; 95% CI, 1.11-1.52); associations between rurality and physical inactivity and food insecurity were not significant. CONCLUSION: The information from this study is timely for policy makers and community partners to make informed decisions on the allocation of healthy weight and obesity prevention programs for children and adolescents in rural settings. Our study provides information for public health programming and the designing of appropriate dietary and physical activity interventions needed to reduce disparities in obesity prevention among children and adolescents.

Trends in Cancer Treatment Service Availability Across Critical Access Hospitals and Prospective Payment System Hospitals.

BACKGROUND: Rural residents experience worse cancer prognosis and access to cancer care providers than their urban counterparts. Critical access hospitals (CAHs) represent over half of all rural community hospitals. However, research on cancer services provided within CAHs is limited. OBJECTIVE: The objective of this study was to investigate trends in cancer services availability in urban and rural Prospective Payment System (PPS) hospitals and CAHs. DESIGN: Retrospective, time-series analysis using data from 2008 to 2017 American Hospital Association Annual Surveys. Multivariable logistic regressions were used to examine differential trends in cancer services between urban PPS, rural PPS, and CAHs, overall and among small (<25 beds) hospitals. SUBJECTS: All US acute care and cancer hospitals (4752 in 2008 to 4722 in 2017). MEASURES: Primary outcomes include whether a hospital provided comprehensive oncology services, chemotherapy, and radiation therapy each year. RESULTS: In 2008, CAHs were less likely to provide all cancer services, especially chemotherapy (30.4%) and radiation therapy (2.9%), compared with urban (64.4% and 43.8%, respectively) and rural PPS hospitals (42.0% and 23.3%, respectively). During 2008-2017, compared with similarly sized PPS hospitals, CAHs were more likely to provide oncology services and chemotherapy, but with decreasing trends. Radiation therapy availability between small PPS hospitals and CAHs did not differ. CONCLUSIONS: Compared with all PPS hospitals, CAHs offered fewer cancer treatment services and experienced a decline in service capability over time. These differences in chemotherapy services were mainly driven by hospital size, as small urban and rural PPS hospitals had lower rates of chemotherapy than CAHs. Still, the lower rates of radiotherapy in CAHs highlight disproportionate challenges facing CAHs for some specialty services.

Screening and Treatment of Sexually Transmitted Infections Among Medicaid Populations-A 2-State Analysis.

BACKGROUND: Chlamydia, gonorrhea, and syphilis are common, treatable sexually transmitted infections (STIs) that are highly prevalent in the general US population. Costs associated with diagnosing and treating these conditions for individual states' Medicaid participants are unknown. The purpose of this study was to estimate the cost of screening and treatment for 3 common STIs for state Medicaid program budgets in Maryland and South Carolina. METHODS: A retrospective, cross-sectional study was conducted using Medicaid administrative claims data over a 2-year period. Claims were included based on the presence of one of the 3 study conditions in either diagnosis or procedure codes. Descriptive analyses were used to characterize the participant population and expenditures for services provided. RESULTS: Total Medicaid expenditures for STI care in state fiscal years 2016 and 2017 averaged $43.5 million and $22.3 million for each year in Maryland and South Carolina, respectively. Maryland had a greater proportion of costs associated with outpatient hospital and laboratory settings. Costs for care provided in the emergency department were highest in South Carolina. CONCLUSIONS: Diagnosis and treatment of commonly reported STIs may have a considerable financial impact on individual state Medicaid programs. Public health activities directed at STI prevention are important tools for reducing these costs to states.

Cervical cancer treatment initiation and survival: The role of residential proximity to cancer care.

OBJECTIVE: To examine the role of driving time to cancer care facilities on days to cancer treatment initiation and cause-specific survival for cervical cancer patients. METHODS: A retrospective cohort analysis of patients diagnosed with invasive cervical cancer during 2001-2016, using South Carolina Central Cancer Registry data linked to vital records. Kaplan-Meier survival curves and Cox proportional hazards models were used to examine the association of driving times to both a patient's nearest and actual cancer treatment initiation facility with cause-specific survival and time to treatment initiation. RESULTS: Of 2518 eligible patients, median cause-specific survival was 49 months (interquartile, 17-116) and time to cancer treatment initiation was 21 days (interquartile, 0-40). Compared to patients living within 15 min of the nearest cancer provider, those living more than 30 min away were less likely to receive initial treatment at teaching hospitals, Joint Commission accredited facilities, and/or Commission on Cancer accredited facilities. After controlling for patient, clinical, and provider characteristics, no significant associations existed between driving times to the nearest cancer provider and survival/time to treatment. When examining driving times to treatment initiation (rather than simply nearest) provider, patients who traveled farther than 30 min to their actual providers had delayed initiation of cancer treatment (hazard ratio, 0.81; 95% confidence interval, 0.73-0.90), including surgery (0.82; 95% CI, 0.72-0.92) and radiotherapy (0.82, 95% CI, 0.72-0.94). Traveling farther than 30 min to the first treating provider was not associated with worse cause-specific survival. CONCLUSIONS: For cervical cancer patients, driving time to chosen treatment providers, but not to the nearest cancer care provider, was associated with prolonged time to treatment initiation. Neither was associated with survival.

Telepsychiatry adoption across hospitals in the United States: a cross-sectional study.

BACKGROUND: Access to psychiatric care is critical for patients discharged from hospital psychiatric units to ensure continuity of care. When face-to-face follow-up is unavailable or undesirable, telepsychiatry becomes a promising alternative. This study aimed to investigate hospital- and county-level characteristics associated with telepsychiatry adoption. METHODS: Cross-sectional national data of 3475 acute care hospitals were derived from the 2017 American Hospital Association Annual Survey. Generalized linear regression models were used to identify characteristics associated with telepsychiatry adoption. RESULTS: About one-sixth (548 [15.8%]) of hospitals reported having telepsychiatry with a wide variation across states. Rural noncore hospitals were less likely to adopt telepsychiatry (8.3%) than hospitals in rural micropolitan (13.6%) and urban counties (19.4%). Hospitals with both outpatient and inpatient psychiatric care services (marginal difference [95% CI]: 16.0% [12.1% to 19.9%]) and hospitals only with outpatient psychiatric services (6.5% [3.7% to 9.4%]) were more likely to have telepsychiatry than hospitals with neither psychiatric services. Federal hospitals (48.9% [32.5 to 65.3%]), system-affiliated hospitals (3.9% [1.2% to 6.6%]), hospitals with larger bed size (Quartile IV vs. I: 6.2% [0.7% to 11.6%]), and hospitals with greater ratio of Medicaid inpatient days to total inpatient days (Quartile IV vs. I: 4.9% [0.3% to 9.4%]) were more likely to have telepsychiatry than their counterparts. Private non-profit hospitals (- 6.9% [- 11.7% to - 2.0%]) and hospitals in counties designated as whole mental health professional shortage areas (- 6.6% [- 12.7% to - 0.5%]) were less likely to have telepsychiatry. CONCLUSIONS: Prior to the Covid-19 pandemic, telepsychiatry adoption in US hospitals was low with substantial variations by urban and rural status and by state in 2017. This raises concerns about access to psychiatric services and continuity of care for patients discharged from hospitals.

Mental health among pregnant women with COVID-19-related stressors and worries in the United States.

BACKGROUND: Few studies have evaluated whether pandemic-related stressors, worries, and social distancing have affected the mental health of pregnant women during the COVID-19 pandemic. METHODS: Data came from an online survey of United States pregnant women (n = 715), conducted in May 2020. The Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder Scale were used to assess depressive symptoms, thoughts of self-harm, and moderate or severe anxiety. Multiple logistic regressions were used to examine the associations of COVID-19 experiences with mental health outcomes. RESULTS: Participants were racially diverse. The prevalence of adverse mental health outcomes was 36% for probable depression, 20% for thoughts of self-harm, and 22% for anxiety. Women who reported family members dying from COVID-19 had four times higher odds of having thoughts of self-harm than women who did not experience family death. Depression was more prevalent among women who canceled or reduced medical appointments. Women were more likely to have worse mental health outcomes if they expressed worry about getting financial or emotional/social support, about their pregnancy, or about family or friends. Strict social distancing was positively associated with depression. A higher proportion of adults working from home was inversely associated with depression and thoughts of self-harm. CONCLUSION: High percentages of pregnant women had symptoms of depression or anxiety, suggesting an urgent need to screen and treat mental health conditions among pregnant women during the pandemic. Pandemic-related risks and protective factors are relevant to developing tailored interventions to address the mental health of pregnant women during pandemic circumstances.

Positive Childhood Experiences Promote School Success.

OBJECTIVES: Educational attainment has been demonstrated as a protective factor for the physical and mental health of children into adulthood, yet there has been limited research on the association between positive childhood experiences (PCEs) and school success. The purpose of this study is to examine the associations between PCEs and challenges to school success. METHODS: This cross-sectional study used data of 33,450 children from the 2017-2018 National Survey of Children's Health to examine PCEs and two challenges to school success (school absenteeism and repeated grades), using multivariable logistic regression analysis. RESULTS: The most prevalent types of PCEs were mentor for advice or guidance (89.8%), family resilience (81.1%), and after-school activity participation (79.8%). Children who participated in after-school activities had lower odds of reported school absenteeism (aOR 0.59; 95% CI 0.46-0.76) and repeating a grade (aOR 0.75; 95% CI 0.59-0.97) than their counterparts. Children who shared ideas with their caregiver had lower odds of repeating a grade (aOR 0.78; 95% CI 0.63-0.97) than children who did not share ideas with their caregiver. Children who lived in a supportive neighborhood were less likely to have reported school absenteeism than children who did not live in a supportive neighborhood (aOR 0.77; 95% CI 0.60-0.98). CONCLUSIONS FOR PRACTICE: Participation in after-school activities had optimal associations with both school absenteeism and repeated grade, suggesting its potential protective effect for school success. Promoting PCEs at the school, family, and community levels may help address school absenteeism and grade retention.

Geographic disparities in residential proximity to colorectal and cervical cancer care providers.

BACKGROUND: Persistent rural-urban disparities for colorectal and cervical cancers raise concerns regarding access to treatment providers. To the authors knowledge, little is known regarding rural-urban differences in residential proximity to cancer specialists. METHODS: Using the 2018 Physician Compare data concerning physician practice locations and the 2012 to 2016 American Community Survey, the current study estimated the driving distance from each residential zip code tabulation area (ZCTA) centroid to the nearest cancer provider of the following medical specialties involved in treating patients with colorectal and cervical cancer: medical oncology, radiation oncology, surgical oncology, general surgery, gynecological oncology, and colorectal surgery. Using population-weighted multivariable logistic regression, the authors analyzed the associations between ZCTA-level characteristics and driving distances >60 miles to each type of specialist. ZCTA-level residential rurality was defined using rural-urban commuting area codes. RESULTS: Nearly 1 in 5 rural Americans lives >60 miles from a medical oncologist. Rural-urban differences in travel distances to the nearest cancer care provider(s) increased substantially for cancer surgeons; greater than one-half of rural residents were required to travel 60 miles to reach a gynecological oncologist, compared with 8 miles for their urban counterparts. Individuals residing within ZCTAs with a higher poverty rate, those of American Indian/Alaska Native ethnicity, and/or were located in the South and West regions were more likely than their counterparts to be >60 miles away from any of the aforementioned providers. CONCLUSIONS: The substantial travel distances required for rural, low-income residents to reach a cancer specialist should prompt a policy action to increase access to specialized cancer care for millions of rural residents.