Nonmetropolitan Areas Research Articles

Are recent health, welfare and care graduates part of a rural and remote workforce solution? Evidence from Tasmania, Australia

BackgroundStrong growth in graduate supply from health, welfare and care courses across Australia may bode well for easing rural workforce shortages. However, little is known about the employment opportunities available for recent graduates in non-metropolitan areas. This study aimed to quantify and describe advertised job vacancies for health, welfare and care professions in Tasmania, a largely rural and geographically isolated island state of Australia. Further, it aimed to examine those job vacancies specifying that recent graduates were suitable to apply.MethodsJob advertisements for health, welfare and care professionals were collected weekly throughout 2018 from six online job vacancy websites. Data were extracted on 25 variables pertaining to type of profession, number of positions, location, and graduate suitability. Location of positions were recoded into a Modified Monash Model (MM) category, the Australian geographic standard used to classify rurality. Positions advertised in MM2 areas were considered regional and MM3-7 areas rural to very remote. Data were analysed using descriptive and inferential statistics.ResultsOver the twelve-month period, 3967 advertisements were identified, recruiting for more than 4700 positions across 49 different health, welfare and care professions in Tasmania. Most vacancies were in the non-government sector (58.5%) and located in regional areas (71.7%) of the state. Professions most frequently advertised were registered nurse (24.4%) and welfare worker (11.4%). Eleven professions, including physiotherapist and occupational therapist, recorded a disproportionate number of advertisements relative to workforce size, suggesting discipline specific workforce shortages. Only 4.6% of collected advertisements specified that a recent graduate would be suitable to apply. Of these, most were for the non-government sector (70.1%) and located in regional areas (73.4%). The professions of physiotherapist (26.6%) and occupational therapist (11.4%) were most frequently represented in advertised graduate suitable positions.ConclusionsDespite a range of advertised employment opportunities for health, welfare and care professionals across Tasmania, few specified vacancies as suitable for recent graduates and most were located in regional areas of the state. Health, welfare and care services in non-metropolitan locations may need to develop more employment opportunities for recent graduates and explicitly advertise these to job-seeking graduates to help grow and sustain the rural and remote health workforce into the future.

대학 정량지표를 통해 본 대학혁신지원사업의 성과와 시사점

Objectives This study analyzed the performance of university innovation support projects through quantitative in-dicators of universities. Methods A paired t-test method and one-way analysis of variance were used as research methods. Results As a result of the analysis, the acquisition rate of full-time teachers and the recruitment rate of students were lower than before the university innovation support project, while the education cost reduction rate, the total number of courses per student, the appropriateness of the lecture size, the recruitment rate of new students, and the employment rate of graduates were higher than before the university innovation support project. The recruit-ment rate of enrolled students and the employment rate of graduates were higher in the metropolitan area than in the non-metropolitan area. According to the university size, there was no difference in the rate of change in all indicators except for the enrollment rate, and in the case of the enrollment rate, large universities performed better than those that did not. Conclusions This study is significant in that it has confirmed that the university innovation support project is ach-ieving quantitative as well as qualitative performance of various university innovations, and balances according to university regional conditions and size.

Serious suicidal thoughts, suicide plans, and mental health service use among youth during the COVID-19 pandemic

Using the 2021 U.S. National Survey on Drug Use and Health youth sample (N = 10,702, ages 12–17), we examined the prevalence and corelates of serious suicidal thoughts (SST) and of suicide plans and mental health service use among those with SST during the COVID-19 pandemic. Of all youth, 12.8 % reported SST and 16.7 % were unsure or refused to answer the SST question. The latter youth were more similar to those with than without SST in mental health status. Of youth with SST, 43.1 % made suicide plans and 56.6 % used any mental health services. Multivariable analysis showed that clinical factors (major depressive disorder, substance use disorder, self-perceived negative mental health effects of the COVID-19 pandemic), female sex, and non-metropolitan residence were associated with higher likelihood of SST. Positive home and school experiences were associated with a lower likelihood of SST and suicide plans, but higher likelihood of any mental health service use among those with SST. Black and Hispanic youth and youth in small metropolitan areas were significantly less likely to have used any mental health services. Our findings have important implications for improving access to mental health services for youth with SST, especially minoritized youth and those in non-metropolitan areas.

Abstract PO3-03-08: Use of adjuvant Capecitabine after neoadjuvant chemotherapy: A Cohort Study among Elderly Patients with Early-Stage Triple-Negative Breast Cancer

Abstract Background: The use of capecitabine in the adjuvant setting in patients with residual disease after neoadjuvant chemotherapy has been incorporated into practice based on the results of the CREATE-X trial. We evaluate utilization patterns of adjuvant capecitabine use, its association with outcomes, and subsequent hospitalizations and emergency room (ER) visits among elderly patients with early-stage triple-negative breast cancer (TNBC). Methods: We identified patients aged ≥66, diagnosed with early-stage TNBC between 2010 and 2017 in the SEER and Texas Cancer Registry (TCR)-linked Medicare databases. All patients were treated with neoadjuvant chemotherapy for localized or regional-stage disease. All patients had continuous enrollment in Medicare Parts A & B without a Health Maintenance Organization enrollment 12 months before cancer diagnosis and 12 months after cancer diagnosis. Chemotherapy administration was identified using HCPCS codes from outpatient and physician’s carrier claims. We analyzed the patterns of capecitabine use, its association with survival outcomes, and the frequency of ER visits and hospitalizations during treatment (between the first capecitabine claim and 30 days after the last claim for capecitabine). Descriptive statistics were used. Primary analyses included logistic regression, Kaplan-Meier estimates, and Cox regression models with propensity score adjustments. This study adhered to the STROBE guidelines for cohort studies. Results: 1,239 patients with localized or regional TNBC treated with neoadjuvant chemotherapy were included (median 72 years). Of them, 96 (7.7%) were prescribed adjuvant capecitabine. Treatment with capecitabine was associated with recent year of diagnosis, regional disease, and residing in non-metropolitan areas. Specifically, the use of capecitabine increased from 1% in 2010 to 10% in 2016 and 21% in 2017. The median duration of capecitabine treatment was 4 cycles. In multivariable logistic regression analyses, older age was associated with decreased odds of receiving ≥4 cycles of capecitabine (OR=0.25; 95% CI: 0.11–0.60; p =0.002). Among capecitabine users, 3-year OS was 46% and 78% for patients who received 1-3 and ≥4cycles of capecitabine, respectively (p< 0.001). The 3-year estimate of BCSS was 43% and 85% respectively (p< 0.001). After multivariable adjustment for comorbidity score, stage, and propensity score, receiving ≥4 cycles of capecitabine was associated with decreased risk of death (HR=0.29; 95%CI 0.13–0.63, p=0.002) and breast cancer-specific death (HR=0.15; 95%CI: 0.05–0.51, p=0.002) compared to receiving 1-3 cycles. Twenty-seven (28%) patients had ER/hospitalization during capecitabine treatment; median time from initial capecitabine claim to ER/hospitalization was 24 days (IQ 13-39). The median number of capecitabine cycles was 3 (IQR 2-5) and 5 (IQR 3-8) for those with and without ER/hospitalization (p=0.02). The most common diagnosis codes associated with ER/hospitalization included pleural effusion, GI symptoms, pneumonia, and acute kidney failure. A higher comorbidity score at diagnosis was associated with an increased risk of ER/hospitalization (HR=2.76; 95%CI 1.05-7.28, p=0.04). Conclusion: We demonstrate an increasing trend in capecitabine utilization among elderly patients with early-stage TNBC. Although the limited sample size hindered a conclusive analysis, more cycles of capecitabine were associated with improved survival outcomes. Notably, a significant proportion of patients undergoing capecitabine treatment experienced ER/hospitalizations. These findings contribute valuable information on the risks and benefits of capecitabine treatment, aiding evidence-based decision-making to prevent serious complications. Citation Format: Marija Sullivan, Xiudong Lei, Catalina Malinowski, Sharon Giordano, Marianna Chavez. Use of adjuvant Capecitabine after neoadjuvant chemotherapy: A Cohort Study among Elderly Patients with Early-Stage Triple-Negative Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-03-08.

Preventable Premature Deaths from the Five Leading Causes of Death in Nonmetropolitan and Metropolitan Counties, United States, 2010-2022.

A 2019 report quantified the higher percentage of potentially excess (preventable) deaths in U.S. nonmetropolitan areas compared with metropolitan areas during 2010-2017. In that report, CDC compared national, regional, and state estimates of preventable premature deaths from the five leading causes of death in nonmetropolitan and metropolitan counties during 2010-2017. This report provides estimates of preventable premature deaths for additional years (2010-2022). 2010-2022. Mortality data for U.S. residents from the National Vital Statistics System were used to calculate preventable premature deaths from the five leading causes of death among persons aged <80 years. CDC's National Center for Health Statistics urban-rural classification scheme for counties was used to categorize the deaths according to the urban-rural county classification level of the decedent's county of residence (1: large central metropolitan [most urban], 2: large fringe metropolitan, 3: medium metropolitan, 4: small metropolitan, 5: micropolitan, and 6: noncore [most rural]). Preventable premature deaths were defined as deaths among persons aged <80 years that exceeded the number expected if the death rates for each cause in all states were equivalent to those in the benchmark states (i.e., the three states with the lowest rates). Preventable premature deaths were calculated separately for the six urban-rural county categories nationally, the 10 U.S. Department of Health and Human Services public health regions, and the 50 states and the District of Columbia. During 2010-2022, the percentage of preventable premature deaths among persons aged <80 years in the United States increased for unintentional injury (e.g., unintentional poisoning including drug overdose, unintentional motor vehicle traffic crash, unintentional drowning, and unintentional fall) and stroke, decreased for cancer and chronic lower respiratory disease (CLRD), and remained stable for heart disease. The percentages of preventable premature deaths from the five leading causes of death were higher in rural counties in all years during 2010-2022. When assessed by the six urban-rural county classifications, percentages of preventable premature deaths in the most rural counties (noncore) were consistently higher than in the most urban counties (large central metropolitan and fringe metropolitan) for the five leading causes of death during the study period.During 2010-2022, preventable premature deaths from heart disease increased most in noncore (+9.5%) and micropolitan counties (+9.1%) and decreased most in large central metropolitan counties (-10.2%). Preventable premature deaths from cancer decreased in all county categories, with the largest decreases in large central metropolitan and large fringe metropolitan counties (-100.0%; benchmark achieved in both county categories in 2019). In all county categories, preventable premature deaths from unintentional injury increased, with the largest increases occurring in large central metropolitan (+147.5%) and large fringe metropolitan (+97.5%) counties. Preventable premature deaths from CLRD decreased most in large central metropolitan counties where the benchmark was achieved in 2019 and increased slightly in noncore counties (+0.8%). In all county categories, preventable premature deaths from stroke decreased from 2010 to 2013, remained constant from 2013 to 2019, and then increased in 2020 at the start of the COVID-19 pandemic. Percentages of preventable premature deaths varied across states by urban-rural county classification during 2010-2022. During 2010-2022, nonmetropolitan counties had higher percentages of preventable premature deaths from the five leading causes of death than did metropolitan counties nationwide, across public health regions, and in most states. The gap between the most rural and most urban counties for preventable premature deaths increased during 2010-2022 for four causes of death (cancer, heart disease, CLRD, and stroke) and decreased for unintentional injury. Urban and suburban counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan) experienced increases in preventable premature deaths from unintentional injury during 2010-2022, leading to a narrower gap between the already high (approximately 69% in 2022) percentage of preventable premature deaths in noncore and micropolitan counties. Sharp increases in preventable premature deaths from unintentional injury, heart disease, and stroke were observed in 2020, whereas preventable premature deaths from CLRD and cancer continued to decline. CLRD deaths decreased during 2017-2020 but increased in 2022. An increase in the percentage of preventable premature deaths for multiple leading causes of death was observed in 2020 and was likely associated with COVID-19-related conditions that contributed to increased mortality from heart disease and stroke. Routine tracking of preventable premature deaths based on urban-rural county classification might enable public health departments to identify and monitor geographic disparities in health outcomes. These disparities might be related to different levels of access to health care, social determinants of health, and other risk factors. Identifying areas with a high prevalence of potentially preventable mortality might be informative for interventions.

Costs and health care resource utilization among Medicare beneficiaries diagnosed with chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) is the most common type of leukemia. However, published studies of CLL have either only focused on costs among individuals diagnosed with CLL without a non-CLL comparator group or focused on costs associated with specific CLL treatments. An examination of utilization and costs across different care settings provides a holistic view of utilization associated with CLL. To quantify the health care costs and resource utilization types attributable to CLL among Medicare beneficiaries and identify predictors associated with each of the economic outcomes among beneficiaries diagnosed with CLL. This retrospective study used a random 20% sample of the Medicare Chronic Conditions Data Warehouse (CCW) database covering the 2017-2019 period. The study population consisted of individuals with and without CLL. The CLL cohort and non-CLL cohort were matched using a 1:5 hard match based on baseline categorical variables. We characterized economic outcomes over 360 days across cost categories and places of services. We estimated average marginal effects using multivariable generalized linear regression models of total costs and across type of services. Total cost was compared between CLL and non-CLL cohorts using the matched sample. We used generalized linear models appropriate for the count or binary outcome to identify factors associated with various categories of health care resource utilization, such as inpatient admissions, emergency department (ED) visits, and oncologist/hematologist visits. A total of 2,736 beneficiaries in the CLL cohort and 13,571 beneficiaries in the non-CLL matched cohort were identified. Compared with the non-CLL cohort, the annual cost for the CLL cohort was higher (CLL vs non-CLL, mean [SD]: $22,781 [$37,592] vs $13,901 [$24,725]), mainly driven by health care provider costs ($6,535 vs $3,915) and Part D prescription drug costs ($5,916 vs $2,556). The main categories of health care resource utilization were physician evaluation/management visits, oncologist/hematologist visits, and laboratory services. Compared with beneficiaries aged 65-74 years, beneficiaries aged 85 years or older had lower use and cost in maintenance services (ie, oncologist visits, hospital outpatient costs, and prescription drug cost) but higher use and cost in acute services (ie, ED). Compared with residency in a metropolitan area, living in a nonmetropolitan area was associated with fewer physician visits but higher ED visits and hospitalizations. The cooccurrence of lower utilization of routine care services, along with higher utilization of acute care services among some individuals, has implications for patient burden and warrants further study.

A study on regional return to education in South Korea: comparison of male and female wages

ABSTRACT This study examines the return to education in South Korea by comparing metropolitan areas with non-metropolitan areas. It utilizes the Korean Labor and Income Panel Study from 2018 and 2019 for analysis, alongside the Mincer equation. The findings indicate that female workers have a higher return to education compared to male workers. The Oaxaca decomposition method reveals that private academies contribute to increasing differential treatment between men and women, whereas public education reduces the gap. Additionally, the regression discontinuity design method shows that the university premium is significantly different by region.

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program.

With its size and diversity, the All of Us Research Program has the potential to power and improve representation in clinical trials through ancillary studies like Nutrition for Precision Health. We sought to characterize high-level trial opportunities for the diverse participants and sponsors of future trial investment. We matched All of Us participants with available trials on ClinicalTrials.gov based on medical conditions, age, sex, and geographic location. Based on the number of matched trials, we (1) developed the Trial Opportunities Compass (TOC) to help sponsors assess trial investment portfolios, (2) characterized the landscape of trial opportunities in a phenome-wide association study (PheWAS), and (3) assessed the relationship between trial opportunities and social determinants of health (SDoH) to identify potential barriers to trial participation. Our study included 181529 All of Us participants and 18634 trials. The TOC identified opportunities for portfolio investment and gaps in currently available trials across federal, industrial, and academic sponsors. PheWAS results revealed an emphasis on mental disorder-related trials, with anxiety disorder having the highest adjusted increase in the number of matched trials (59% [95% CI, 57-62]; P < 1e-300). Participants from certain communities underrepresented in biomedical research, including self-reported racial and ethnic minorities, had more matched trials after adjusting for other factors. Living in a nonmetropolitan area was associated with up to 13.1 times fewer matched trials. All of Us data are a valuable resource for identifying trial opportunities to inform trial portfolio planning. Characterizing these opportunities with consideration for SDoH can provide guidance on prioritizing the most pressing barriers to trial participation.

Trends of Acute Myocardial Infarction Mortality in People Over 65 Years Old in the United States From 1999-2020: Insight From the CDC-WONDER Database.

Background Over the past two decades, there have been numerous advances in acute myocardial infarction (AMI) care. We assessed the impact of these advances on the trend of AMI-related mortality. Methods This retrospective analysis of the Centers for Disease Control's Wide-ranging Online Data for Epidemiologic Research (CDC_WONDER) database focused on AMI-related mortality in individuals aged 65 and older in the United States from 1999 to 2020. Trends -n crude and age-adjusted mortality rates (AAMR) were assessed based on socio-demographic and regional variables using Joinpoint Regression software (Joinpoint Regression Program, Version 5.0.2 - May 2023; Statistical Methodology and Applications Branch, Surveillance Research Program,National Cancer Institute Bethesda, Maryland). Annual percentage change (APC) with 95% confidence intervals (CIs) for the AAMRs were calculated for the line segments linking a Joinpoint using a data-driven weighted Bayesian Information Criterion (BIC) model. Results There were 2,354,971 AMI-related deaths with an overall decline in the AAMR from 474.6 in 1999 to 153.2 in 2020 and an average annual percentage change (AAPC) of -5.3 (95% CI -5.4 to -5.2). Notable declines were observed across gender, race, age groups, and urbanization levels. However, the rate of AMI-related deaths at decedents' homes slowed down between 2008 and 2020 and climbed up between 2018 and 2020. In addition to this, nonmetropolitan areas were found to have a significantly lower decline in mortality when compared to large and medium/small metropolitan areas. Conclusion While there is an overall positive trend in reducing AMI-associated mortality, disparities persist, emphasizing the need for targeted interventions.

The limits of recovery: coming of age, aspirations and (im)mobility among displaced Pandit youth in Jammu

ABSTRACT How do the displaced recover tangible and intangible losses incurred in displacement? What does the process of recovery involve, especially for members of displaced families who come of age after displacement and face the burden of recovery? This paper engages with these questions in relation to the Hindu minority of the Kashmir valley, better known as the Kashmiri Pandits. Following the outbreak of conflict, the vast majority of this community fled the Kashmir valley in 1990. The paper will explore the biographies of two Kashmiri Pandit men who were children at the time of displacement and came of age in exile. By drawing on their experiences, set in the context of ethnographic research in the city of Jammu in Jammu and Kashmir, this paper examines the process of ‘growing up’ in a non-metropolitan urban area and balancing the recovery of loss alongside the aspirations of the youth. While existing scholarship on societies affected by violence discusses how recovery takes place in engaging with ordinary life, this process has to contend with the limits of ordinary life. The paper argues that the displaced are forced to come to terms with the limits of recovery and confront the dead-endedness of ordinary life.

National Institutes of Health Stroke Scale Reporting in Medicare Claims Data: Reporting in the First 3 Years.

Since 2016, hospitals have been able to document International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for the National Institutes of Health Stroke Scale (NIHSS). As of 2023, the Centers for Medicare & Medicaid Services uses NIHSS as a risk adjustment variable. We assessed associations between patient- and hospital-level variables and contemporary NIHSS reporting. We performed a retrospective cross-sectional analysis of 2019 acute ischemic stroke admissions using deidentified, national 100% inpatient Medicare Fee-For-Service data sets. We identified index acute ischemic stroke admissions using the ICD-10-CM code I63.x and abstracted demographic information, medical comorbidities, hospital characteristics, and NIHSS. We linked Medicare and Mount Sinai Health System (New York, NY) registry data from 2016 to 2019. We calculated NIHSS documentation at the patient and hospital levels, predictors of documentation, change over time, and concordance with local data. There were 231 383 index acute ischemic stroke admissions in 2019. NIHSS was documented in 44.4% of admissions and by 66.5% of hospitals. Hospitals that documented ≥1 NIHSS were more commonly teaching hospitals (39.0% versus 5.5%; standardized mean difference score, 0.88), stroke certified (37.2% versus 8.0%; standardized mean difference score, 0.75), higher volume (mean, 80.8 [SD, 92.6] versus 6.33 [SD, 14.1]; standardized mean difference score, 1.12), and had intensive care unit availability (84.9% versus 23.2%; standardized mean difference score, 1.57). Adjusted odds of documentation were lower for patients with inpatient mortality (odds ratio, 0.64 [95% CI, 0.61-0.68]; P<0.0001), in nonmetropolitan areas (odds ratio, 0.49 [95% CI, 0.40-0.61]; P<0.0001), and male sex (odds ratio, 0.95 [95% CI, 0.93-0.97]; P<0.0001). NIHSS was documented for 52.9% of Medicare cases versus 93.1% of registry cases, and 74.7% of Medicare NIHSS scores equaled registry admission NIHSS. Missing ICD-10-CM NIHSS data remain widespread 3 years after the introduction of the ICD-10-CM NIHSS code, and there are systematic differences in reporting at the patient and hospital levels. These findings support continued assessment of NIHSS reporting and caution in its application to risk adjustment models.

비수도권 대학생들의 진로 불안 극복과 진로결정 자기효능감 형성에 관한 현상학적 연구

This research is a phenomenological study on career anxiety, coping mechanisms, and career decision-making Self-Efficacy self-efficacy among university Students in the PK Area. This study analyzed the content of the career anxiety experienced by the study participants, as well as analyzing the overcoming of it and the development of career self-efficacy. Participants consisted of 11 students attending a non-metropolitan university. Using Colaizzi’s (1978) descriptive phenomenological research methods, the researcher conducted 1:1 in-depth interviews with the participants to construct the data. Because of the data analysis, 33 sub-components were selected. The researchers presented these as 11 components. Lastly, these components were reorganized into four categories namely “successful job experience in a non-metropolitan area,” “job role modeling,” “motivation in a harsh environment,” and “physical and emotional arousal.” According to the results, the category of successful job experience, as a component of overcoming career anxiety, led to a sense of challenge and enthusiasm. In terms of job role modeling, the participants set their role models and made a continuous effort to successfully perform their roles. As for motivation, most participants relieved their anxiety on their own by actively and positively strengthening their motivation. Finally, the participants positively utilized stress through physical and emotional arousal, maintained a healthy state of body and mind, and developed a sense of career self-efficacy. Based on the research results, we discussed recalling success experiences, cultivating strength to overcome career anxiety, role modeling, motivation, and physical and emotional awakening. Based on this, suggestions were made for a program to connect with graduating seniors in college career guidance, a counseling system that can connect motivation enhancement to behavioral strategies, and an approach to maintain a state of physical calm to relieve anxiety.

Household income mobility in metropolitan and non-metropolitan areas in Korea

ABSTRACT This study examines the effects of residential areas and regional characteristics on household income mobility in Korea using a dynamic ordered probit model. The results demonstrate that households located in metropolitan areas are more likely to belong to the higher income quintile compared with households located in non-metropolitan areas. However, population growth in non-metropolitan areas was confirmed to have a positive effect on upward mobility associated with household income, while population growth in the metropolitan area negatively affected upward mobility. The findings support the legitimacy of the population distribution policy, which implies the need for the government to pursue a regionally balanced development policy more vigorously.

Abstract 7449: Incidence of secondary malignancies in early onset colorectal cancer (EOCRC) patients

Abstract Introduction: The incidence of colorectal cancer in the younger population (20-49) continues to rise at a rapid pace. EOCRC patients are potentially at risk for developing additional secondary malignancies. There is a lack of reported data in the EOCRC space. In this analysis, we seek to examine the incidence, trends, and outcomes of secondary malignancies in EOCRC patients. Methods: The surveillance, epidemiology, and end-result (SEER) database was utilized to assess and compare the incidence and factors associated with development of secondary malignancies among EOCRC patients. Patient characteristics were summarized by secondary cancer status and compared using the Pearson chi-square test. Further OS was assessed using Kaplan- -Meier methods and compared across groups using the log-rank test. Multivariable Logistic regression models using backward selection approach were used to evaluate the association between patient characteristics and risk of secondary cancers. All statistics were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC). Results: Of the 53,891 patients analyzed, 2578 (4.8%) patients with EOCRC developed a secondary malignancy in the SEER database from 2000-2019. The mean age for developing a secondary malignancy was 47.6 yo (median 48 yo; range 20-69). There was a higher likelihood of second cancers among men(56%), white patients (61.4%), those with stage II (25.5%). and III (32.8%) CRC. The patients who most commonly developed a secondary malignancy were in the age group 40-49(p &amp;lt;.001). Of the patients who developed a secondary malignancy, 1843 (71.5%) initially had a primary colon cancer compared to 920 (22.6%) having rectal cancer, with the remainder having a rectosigmoid cancer. Of the patients who developed secondary malignancies, a majority had received prior chemotherapy (58.5%), and a minority of patients received radiation therapy (20.6%) Patients who had a partner had a higher incidence of secondary malignancy (59.5%) and they were more likely to have resided in a metropolitan area compared to a nonmetropolitan area (86.6 versus 13.2% respectively). The most common sites of secondary malignancy were: an additional colorectal cancer (47.7%), followed by breast cancer (8.2%) urinary tract cancer (7.1%), thyroid cancer (7%) and prostate cancer (5%). Patients who developed a secondary cancer were found to have an improved disease specific survival (DSS) compared to those who did not develop a secondary malignancy (3 year mDSS 89% vs 74%; p &amp;lt;.001)The overall survival of patients who developed a secondary malignancy was worse than those who did not develop one (mOS 208 months vs 229 mos respectively). Conclusion: EOCRC patients are likely to develop secondary malignancies. Long-term screening should be recommended for these patients and integrated into their survivorship plans. Citation Format: Deepak Vadehra, Kristopher Attwood, Anthony George, Shailesh Advani, Sahithi Sonti, Sarbajit Mukherjee. Incidence of secondary malignancies in early onset colorectal cancer (EOCRC) patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7449.

Factors Associated with Sugar-Sweetened Beverage Intake Among Young Children - United States, 2021.

Because limited data exist about factors related to sugar-sweetened beverage (SSB) intake among younger children, we investigated factors associated with SSB intake among US children aged 1 to 5 years. We examined SSB intake (0, 1-3, or ≥4 times/week) by using data from the 2021 National Survey of Children's Health. We performed a multinomial logistic regression to calculate adjusted odds ratios (aORs) for select sociodemographic and household factors associated with moderate (1-3 times/week) and high (≥4 times/week) SSB intake. Overall, 36% of children consumed SSBs 1 to 3 times/week and 21% consumed 4 or more times/week. Both moderate and high SSB intake were associated with child's age, child's race and ethnicity, highest caregiver education level, household income, primary household language, and frequency of family meals. For example, children who lived in households with caregiver education level of high school graduate or less were significantly more likely to have moderate (aOR, 2.06) and high (aOR, 2.81) SSB intake than those who lived in households with caregiver education level of college degree or higher. High SSB intake was also associated with marginal household food sufficiency, nonmetropolitan statistical area status, and receipt of government food benefits. Several sociodemographic and household factors were significantly associated with SSB intake among children aged 1 to 5 years. Public health initiatives designed to address SSB intake among young children in various settings including pediatric health care, early care and education, and the child's home could consider key associated factors.

Dynamics and Predictions of Urban Expansion in Java, Indonesia: Continuity and Change in Mega-Urbanization

This paper is situated within the discussion of mega-urbanization, a particular urbanization process that entails a large-scale agglomeration. In this paper, our focus is on urbanization in Java, Indonesia’s most dynamic region. We add to the literature by investigating the change and prediction of the land use/land cover (LULC) of mega-urbanization in Java. This research uses a vector machine approach to support the classification of land cover change dynamics, cellular automata-Markov (CA Markov), and the Klassen typology technique. This paper indicates that major metropolitan areas are still expanding in terms of built-up areas, generating a larger urban agglomeration. However, attention should be also given to the urbanization process outside existing metropolis’ boundaries given that more than half of the built-up land coverage in Java is located in non-metropolitan areas. In terms of future direction, the projection results for 2032 show that the Conservative scenario can reduce and slow down the increase in built-up land on the island of Java. On the other hand, the Spatial Plan (RTRW) scenario facilitates a rapid increase in the LULC of built-up land from 2019. The urban spatial dynamics in Java raises challenges for urban and regional planning as the process is taking place across multiple administrative authorities.

Abstract P376: Comparison of Heart Failure Admission Rates Between Rural-Urban Continuum Code Designations

Introduction: Approximately 6 million adults in the US have heart failure (HF) and, from 2012 to 2030, the prevalence is estimated to increase by 46%. In 2017, the prevalence of HF among rural residents was 40% higher than among residents of small metropolitan and urban areas and this gap has continued to grow. However, only examining differences among metropolitan vs nonmetropolitan statistical areas or urban vs rural areas means it is impossible to understand within rural variation. Hypothesis: We assessed the hypothesis that county-level HF admission rates would differ by Rural-Urban Continuum Code (RUCC). Methods: Using 2017 data from the Healthcare Cost and Utilization Project, this cross-sectional study investigated the association between RUCC designation and county-level HF admission rates (number of admissions with a principal diagnosis of HF per 100,000 population aged 18+). The sample included 826 counties across 13 states. Rural, Urban, and Metro designations were defined through RUCCs. One-way ANOVA was performed to identify overall differences in HF admission rates across RUCC designations, with post-hoc pairwise comparisons performed using Tukey’s HSD. Results: There was a statistically significant difference in HF admission rates between at least two groups ( F (817, 8)=[13.99, p &lt;.001]). Results from 13 of the 36 pairwise comparisons were statistically significant ( Table ). Conclusion: We identified statistically significant differences in county-level HF hospital admission rates by RUCC. Metro counties had significantly higher HF admission rates than urban and rural counties, but differences across rural counties were not observed. HF prevalence is higher among rural Americans than those in urban and metro areas, but HF hospital admission rates in rural counties are much lower. Further research is needed to investigate the drivers of these differences in prevalence and healthcare utilization.

Worsening of health disparities across COVID-19 pandemic stages in Korea.

With the end of the coronavirus disease 2019 (COVID-19) pandemic, the health outcomes of this disease in Korea must be examined. We aimed to investigate health outcomes and disparities linked to socioeconomic status during the COVID-19 pandemic in Korea and to identify risk factors for hospitalization and mortality. This nationwide retrospective study incorporated an analysis of individuals with and without COVID-19 in Korea between January 1, 2020 and December 31, 2022. The study period was divided into 4 stages. Prevalence, hospitalization, mortality, and case-fatality rates were calculated per 100,000 population. Multivariate logistic regression was performed to identify risk factors for COVID-19 hospitalization and mortality. Overall, the incidence rate was 40,601 per 100,000 population, the mortality rate was 105 per 100,000 population, and the case-fatality rate was 259 per 100,000 cases. A total of 12,577,367 new cases (24.5%) were recorded in stage 3 and 8,979,635 cases (17.5%) in stage 4. Medical Aid recipients displayed the lowest 3-year cumulative incidence rate (32,737 per 100,000) but the highest hospitalization (5,663 cases per 100,000), mortality (498 per 100,000), and case-fatality (1,521 per 100,000) rates. Male sex, older age, lower economic status, non-metropolitan area of residence, high Charlson comorbidity index, and disability were associated with higher risk of hospitalization and death. Vaccination was found to reduce mortality risk. As the pandemic progressed, surges were observed in incidence, hospitalization, and mortality, exacerbating disparities associated with economic status and disability. Nevertheless, Korea has maintained a low case-fatality rate across all economic groups.

US Medicare Hospice and Palliative Medicine Physician Workforce and Service Delivery in 2008-2020

ContextDespite clinical benefits of early palliative care, little is known about Medicare physician workforce specialized in Hospice and Palliative Medicine (HPM) and their service delivery settings. ObjectivesTo examine changes in Medicare HPM physician workforce and their service delivery settings in 2008–2020. MethodsUsing the Medicare Data on Provider Practice and Specialty from 2008 to 2020, we identified 2375 unique Medicare Fee-For-Service (FFS) physicians (15,565 physician-year observations) with self-reported specialty in “Palliative Care and Hospice”. We examined changes in the annual number of HPM physicians, average number of Medicare services overall and by care setting, total number of Medicare FFS beneficiaries, and total Medicare allowed charges billed by the physician. ResultsThe number of Medicare HPM physicians increased 2.32 times from 771 in 2008 to 1790 in 2020. The percent of HPM physicians practicing in metropolitan areas increased from 90% to 96% in 2008–2020. Faster growth was also observed in female physicians (52.4% to 60.1%). Between 2008 and 2020, we observed decreased average annual Medicare FFS beneficiaries (170 to 123), number of FFS services (467 to 335), and Medicare allowed charges billed by the physician ($47,230 to $37,323). The share of palliative care delivered in inpatient settings increased from 47% to 68% in 2008–2020; whereas the share of services delivered in outpatient settings decreased from 37% to 19%. ConclusionDespite growth in Medicare HPM physician workforce, access is disproportionately concentrated in metropolitan and inpatient settings. This may limit receipt of early outpatient specialized palliative care, especially in nonmetropolitan areas.

Lipoprotein(a) as a risk factor for atherosclerotic cardiovascular disease in patients in non-metropolitan areas of Brandenburg, Germany.

In the non-metropolitan region of Brandenburg (Germany), which is characterized by high rates of cardiovascular diseases and underserved medical care, there is a lack of awareness regarding lipoprotein(a) [Lp(a)] as a risk factor. In addition, data from patients with atherosclerotic cardiovascular disease (ASCVD) in diverse regional backgrounds, including the understudied Brandenburg cohort, and various healthcare statuses remain insufficient. In this WalkByLab study, Lp(a) levels were monitored in a non-metropolitan cohort (n = 850) in Brandenburg, Germany, comprising 533 patients at high cardiovascular risk and 317 healthy controls. Patients underwent a comprehensive angiological screening, which included blood serum analysis, assessment of medical and family history, cardiovascular risk, and disease status, and evaluation of lifestyle and quality of life. All parameters were evaluated with regard to two groups based on Lp(a) levels: low (<50 mg/dl) and high (≥50 mg/dl). Brandenburg patients with cardiovascular diseases showed higher Lp(a) levels than healthy controls (24.2% vs. 14.8%, p = 0.001). Logistic regression analysis with different characteristics revealed that Lp(a) was an independent risk factor significantly associated with ASCVD (OR 2.26, 95% CI 1.32-3.95, p = 0.003). The high-Lp(a) group showed a higher proportion of patients with coronary artery disease, peripheral artery disease, or cerebrovascular disease compared to the low-Lp(a) group (50% vs. 36.8%; 57.7% vs. 45.8%; 17.6% vs. 9.2%; p = 0.004); also, a higher percentage of patients in the high-Lp(a) group had heart failure (72.8% vs. 53.2%, p = 0.014) and myocardial infarction (24.7% vs. 13.9%, p = 0.001). The high-Lp(a) group exhibited higher rates of statins (63.1% vs. 50.4%, p = 0.003), ezetimibe (14.8% vs. 5.5.%, p = 0.001), and beta-blockers (55.7% vs. 40.7%, p = 0.001) use. Lp(a) levels were found to be independent of physical activity or smoking behavior and did not change over time (12 months). Our study highlights the significance of elevated Lp(a) levels in Brandenburg cardiovascular patients and identifies them as an independent risk factor for ASCVD, which has implications for addressing cardiovascular health of non-metropolitan populations.