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.

Co-occurrence of mental illness and substance use among US pregnant individuals, 2012-2021.

AIM: Substance use disorders are increasingly prevalent among pregnant individuals, with evident risks of adverse perinatal outcomes. This study examines substance use (tobacco, alcohol and marijuana) among pregnant individuals with mental illness. METHODS: A national representative sample of pregnant individuals were derived from 2012 to 2021 National Survey of Drug Use and Health data. Associations of past-year mental illness with past-month polysubstance use and each substance use were analyzed by logistic regression models, with complex sampling weights and survey year. RESULTS: Among 6801 pregnant individuals, 16.4% reported having any mental illness (AMI) in 2012 and 2013, increasing to 23.8% in 2020-2021; and SMI increased from 3.3% to 9.4%. Polysubstance use increased disproportionately among those with severe mental illness (SMI), from 14.0% to 18.6%. Pregnant individuals with greater severity of mental illness had higher odds of polysubstance use (Adjusted Odds Ratio, 95% CI: AMI but no SMI vs. without AMI: 1.59 [1.04, 2.44]; SMI vs. without AMI: 5.48 [2.77, 10.82]). CONCLUSIONS: Pregnant individuals with greater severity of mental illness were more likely to engage in substance use. Evidence-based educational, screening and treatment services, and public policy changes are warranted to mitigate the harmful health outcomes of substance use among US pregnant individuals with mental illness.

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.

The COVID-19 pandemic impact on independent and provider-based rural health clinics' operations and cancer prevention and screening provision in the United States.

INTRODUCTION: The COVID-19 pandemic has disrupted cancer care, but it is unknown how the pandemic has affected care in Medicare-certified rural health clinics (RHCs) where cancer prevention and screening services are critical for their communities. This study examined how the provision of these cancer services changed pre- and peri-pandemic overall and by RHC type (independent and provider-based). METHODS: We administered a cross-sectional survey to a stratified random sample of RHCs to assess clinic characteristics, pandemic stressors, and the provision of cancer prevention and control services among RHCs pre- and peri-pandemic. We used McNemar's test and Wilcoxon signed rank tests to assess differences in the provision of cancer prevention and screening services pre- and peri-pandemic by RHC type. RESULTS: Of the 153 responding RHCs (response rate of 8%), 93 (60.8%) were provider-based and 60 (39.2%) were independent. Both RHC types were similar in their experience of pandemic stressors, though a higher proportion of independent RHCs reported financial concerns and challenges obtaining personal protective equipment. Both types of RHCs provided fewer cancer prevention and screening services peri-pandemic-5.8 to 4.2 for provider-based and 5.3 to 3.5 for independent (P<.05 for both). Across lung, cervical, breast, and colorectal cancer-related services, the proportion of both RHC groups providing services dropped peri-pandemic. DISCUSSION: The pandemic's impact on independent and provider-based RHCs and their patients was considerable. Going forward, greater resources should be targeted to RHCs-particularly independent RHCs-to ensure their ability to initiate and sustain evidence-based prevention and screening services.

Pre-pandemic geographic access to hospital-based telehealth for cancer care in the United States.

IMPORTANCE: Little is known about US hospitals' capacity to ensure equitable provision of cancer care through telehealth. OBJECTIVE: To conduct a national analysis of hospitals' provision of telehealth and oncologic services prior to the SARS-CoV-2 pandemic, along with geographic and sociodemographic correlates of access. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cross-sectional analysis with Geographic Information Systems mapping of 1) 2019 American Hospital Association (AHA) Annual Hospital Survey and IT Supplement, 2) 2013 Urban Influence Codes (UIC) from the United States Department of Agriculture, 3) 2018 Area Health Resources Files from the Health Services and Resources Administration (HRSA). INTERVENTIONS: Hospitals were categorized by telehealth and oncology services availability. Counties were classified as low-, moderate-, or high-access based on availability of hospital-based oncology and telehealth within their boundaries. MAIN OUTCOMES AND MEASURES: Geospatial mapping of access to hospital-based telehealth for cancer care. Generalized logistic mixed effects models identified associations between sociodemographic factors and county- and hospital-level access to telehealth and oncology care. RESULTS: 2,054 out of 4,540 hospitals (45.2%) reported both telehealth and oncology services. 272 hospitals (6.0%) offered oncology without telehealth, 1,369 (30.2%) offered telehealth without oncology, and 845 (18.6%) hospitals offered neither. 1,288 out of 3,152 counties with 26.6 million residents across 41 states had no hospital-based access to either oncology or telehealth. After adjustment, rural hospitals were less likely than urban hospitals to offer telehealth alongside existing oncology care (OR 0.27; 95% CI 0.14-0.55; p < .001). No county-level factors were significantly associated with telehealth availability among hospitals with oncology. CONCLUSIONS AND RELEVANCE: Hospital-based cancer care and telehealth are widely available across the US; however, 8.4% of patients are at risk for geographic barriers to cancer care. Advocacy for adoption of telehealth is critical to ensuring equitable access to high-quality cancer care, ultimately reducing place-based outcomes disparities. Detailed, prospective, data collection on telehealth utilization for cancer care is also needed to ensure improvement in geographic access inequities.

Availability of hospital-based cancer services before and after rural hospital closure, 2008-2017.

INTRODUCTION: Rural populations have less access to cancer care services and experience higher cancer mortality rates than their urban counterparts, which may be exacerbated by hospital closures. Our objective was to examine the impact of hospital closures on access to cancer-relevant hospital services across hospital service areas (HSAs). METHODS: We used American Hospital Association survey data from 2008 to 2017 to examine the change in access to cancer-related screening and treatment services across rural HSAs that sustained hospitals over time, experienced any closures, or had all hospitals close. We performed a longitudinal analysis to assess the association between hospital closure occurrence and maintenance or loss of cancer-related service lines accounting for hospital and HSA-level characteristics. Maps were also developed to display changes in the availability of services across HSAs. RESULTS: Of the 2,014 rural HSAs, 3.8% experienced at least 1 hospital closure during the study period, most occurring in the South. Among HSAs that experienced hospital closure, the loss of surgery services lines was most common, while hospital closures did not affect the availability of overall oncology and radiation services. Screening services either were stable (mammography) or increased (endoscopy) in areas with no closures. DISCUSSION: Rural areas persistently experience less access to cancer treatment services, which has been exacerbated by hospital closures. Lack of Medicaid expansion in many Southern states and other policy impacts on hospital financial viability may play a role in this. Future research should explore the impact of closures on cancer treatment receipt and outcomes.

The Problem Of The Color Line: Spatial Access To Hospital Services For Minoritized Racial And Ethnic Groups.

Examining how spatial access to health care varies across geography is key to documenting structural inequalities in the United States. In this article and the accompanying StoryMap, our team identified ZIP Code Tabulation Areas (ZCTAs) with the largest share of minoritized racial and ethnic populations and measured distances to the nearest hospital offering emergency services, trauma care, obstetrics, outpatient surgery, intensive care, and cardiac care. In rural areas, ZCTAs with high Black or American Indian/Alaska Native representation were significantly farther from services than ZCTAs with high White representation. The opposite was true for urban ZCTAs, with high White ZCTAs being farther from most services. These patterns likely result from a combination of housing policies that restrict housing opportunities and federal health policies that are based on service provision rather than community need. The findings also illustrate the difficulty of using a single metric-distance-to investigate access to care on a national scale.

Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016.

PURPOSE: Colorectal cancer (CRC) is the third leading cause of cancer mortality among men and women in the United States and South Carolina (SC). Since SC has one of the highest proportions of Black (27.9%) and rural residents (33.7%), the purpose of this investigation was to describe the burden of CRC on racial disparities in rural populations. METHODS: Count data from 2012 to 2016 were obtained from the state central cancer registry using an online data retrieval system. Rural-urban status was determined using Urban Influence Codes (1-2 = urban; 3-12 = rural). Chi-square tests were calculated to examine differences in CRC stage by rurality and race. Annual percent change and annual average percent change (AAPC) were calculated to examine trends in incidence and mortality rates across rural-urban and racial groups between 1996 and 2016. RESULTS: Areas with high mortality-to-incidence ratios tended to be in rural counties. Furthermore, rural residents had higher proportions of distant stage CRC compared to urban residents, and Black populations had higher proportions of distant stage CRC compared to White populations (22.7% vs. 26.3% and 29.3% vs. 23.7%, respectively; P value < 0.05). From 1996 to 2016, Black and White urban-dwelling residents experienced a significant decline in incidence. Urban White, urban Black, and rural White populations experienced significant declines in mortality (AAPC = -2.6% vs -2.4% vs -1.6% vs -0.9%, respectively). CONCLUSIONS: Despite improvements in CRC screening in recent decades, focused evidenced-based interventions for lowering incidence and mortality among rural and Black populations in South Carolina are necessary.

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.

Primary care physician continuity, survival, and end-of-life care intensity.

OBJECTIVE: To examine the associations of primary care physician (PCP) care continuity with cancer-specific survival and end-of-life care intensity. DATA SOURCES: Surveillance, epidemiology, and end results linked to Medicare claims data from 2001 to 2015. STUDY DESIGN: Cox proportional hazards models with mixed effects and hierarchical generalized logistic models were used to examine the associations of PCP care continuity with cancer-specific survival and end-of-life care intensity, respectively. PCP care continuity, defined as having visited the predominant PCP (who saw the patient most frequently before diagnosis) within 6 months of diagnosis. DATA EXTRACTION METHODS: We identified Medicare patients diagnosed at age 66.5-94 years with stage-III or IV poor-prognosis cancer during 2001-2012 and followed them up until 2015. Patients who died within 6 months after diagnosis were excluded. PRINCIPAL FINDINGS: Primary study cohort consisted of 85,467 patients (median survival 22 months), 71.7% of whom had PCP care continuity. Patients with PCP care continuity tended to be older, married, nonblack, non-Hispanic, and to have fewer comorbid conditions (p < 0.001 for all). Patients with PCP care continuity had lower cancer-specific mortality (adjusted hazard ratio: 0.93; 95% confidence interval [CI]: 0.91 to 0.95; p = 0.001) than did those without PCP care continuity. Findings of the 2001-2003 cohorts (nearly all of whom died by 2015) show no associations of overall end-of-life care intensity measures with PCP care continuity (adjusted marginal effects: 0.005; 95% CI: -0.016 to 0.026; p = 0.264). CONCLUSIONS: Among Medicare beneficiaries with advanced poor-prognosis cancer, PCP continuity was associated with modestly improved survival without raising overall aggressive end-of-life care.

Trends in spatial access to colonoscopy in South Carolina, 2000-2014.

BACKGROUND: Colonoscopy use has increased since Medicare began covering screening for average-risk persons. Our objective was to describe changes in spatial access to colonoscopy in South Carolina (SC) between 2000 and 2014. METHODS: Using data from the SC Ambulatory Surgery Database, we created annual ZIP Code Tabulation Area (ZCTA) spatial accessibility scores. We assessed changes in accessibility, colonoscopy supply, and potential demand, overall and by metropolitan designation. Spatial clustering was also explored. RESULTS: Spatial accessibility decreased across both small rural and metropolitan ZCTAs but was significantly higher in metropolitan areas during the first part of the study period . The proportion of persons with no access to colonoscopy within 30 min increased over time but was consistently higher in small rural areas. Clusters of low accessibility grew over time. CONCLUSIONS: The supply of colonoscopy facilities decreased relative to the potential demand, and clusters of low access increased, indicating a contraction of services.

Variations in health behaviors among pregnant women during the COVID-19 pandemic.

PURPOSE: To examine changes in lifestyle behaviors early in the COVID-19 pandemic among pregnant women. MATERIALS AND METHODS: A cross-sectional internet-based survey was completed by 706 pregnant women (mean age 29.6 years ± 3.2) residing in the United States in May 2020 to assess self-reported changes in diet, physical activity, and sleep during the COVID-19 pandemic. Logistic regression analyses examined whether sociodemographic, clinical, and pandemic-related characteristics were associated with health behavior changes. RESULTS: Approximately 17% of women reported their diets worsened during the COVID-19 pandemic, 42% reported improvements, and 41% reported no change. For physical activity, 22% reported they stopped being active, 2% reported they became active, and 76% reported no change. Nearly one-third of participants reported getting less sleep. The factors consistently associated with adverse lifestyle changes (worse diet, stopped being active, and reduced sleep) were experiences of pregnancy complications, loss of income due to COVID-19, and changes in social connections due to COVID-19. CONCLUSIONS: A substantial proportion of pregnant women reported adverse lifestyle changes during the COVID-19 pandemic. Interventions during the pandemic to optimize health behaviors in pregnant women, especially among those with pregnancy complications, should address economic disadvantages and social support.

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.

Disparities in end-of-life care, expenditures, and place of death by health insurance among cancer patients in China: a population-based, retrospective study.

BACKGROUND: Disparities in the utilization, expenditures, and quality of care by insurance types have been well documented. Such comparisons have yet to be investigated in end-of-life (EOL) settings in China, where public insurance covers over 95% of the Chinese population. This study examined the associations between health insurance and EOL care in the last six months of life: outpatient visits, emergency department (ED) visits, inpatient services, intensive care unit (ICU) admissions, expenditures, and place of death among the cancer patients. METHODS: A total of 398 patients diagnosed with cancer who survived more than 6 months after diagnosis and died from July 2015 to June 2017 in urban Yichang, China, were included. Descriptive analysis and multivariate regression models were used to investigate the bivariate and independent associations, respectively, between health insurance with EOL healthcare utilization, expenditures and place of death. RESULTS: Urban Employee Basic Medical Insurance (UEBMI) beneficiaries visited EDs more frequently than Urban Resident-based Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NRCMS) beneficiaries (marginal effects [95% Confidence Interval]: 2.15 [1.81-2.48] and 1.92 [1.59-2.26], respectively). NRCMS and UEBMI beneficiaries had more hospitalizations than URBMI beneficiaries (1.01 [0.38-1.64] and 0.71 [0.20-1.22], respectively). Compared to URBMI beneficiaries, NRCMS beneficiaries and UEBMI beneficiaries had ¥15,722 and ¥43,241 higher expenditures. Similarly, UEBMI beneficiaries were most likely to die in hospitals, followed by NRCMS (UEBMI vs. NRCMS: 0.23 [0.11-0.36]) and URBMI (UEBMI vs. URBMI: 0.67 [0.57-0.78]) beneficiaries. CONCLUSIONS: The disproportionately lower utilization of EOL care among NRCMS and URBMI beneficiaries, compared to UEBMI beneficiaries, raised concerns regarding quality of EOL care and financial burdens of NRCMS and URBMI beneficiaries. Purposive hospice care intervention might be warranted to address EOL care for these beneficiaries in China.

Rural-Urban Mortality Disparities: Variations Across Causes of Death and Race/Ethnicity, 2013-2017.

Objectives. To examine rural-urban disparities in overall mortality and leading causes of death across Hispanic (any race) and non-Hispanic White, Black, American Indian/Alaska Native (AI/AN), and Asian/Pacific Islander populations.Methods. We performed a retrospective analysis of age-adjusted death rates for all-cause mortality and 5 leading causes of death (cardiovascular, cancer, unintentional injuries, chronic lower respiratory disease, and stroke) by rural versus urban county of residence in the United States and race/ethnicity for the period 2013 to 2017.Results. Rural populations, across all racial/ethnic groups, had higher all-cause mortality rates than did their urban counterparts. Comparisons within causes of death documented rural disparities for all conditions except cancer and stroke among Hispanic individuals; Hispanic rural residents had death rates similar to or lower than urban residents. Rural Black populations experienced the highest mortality for cardiovascular disease, cancer, and stroke. Unintentional injury and chronic lower respiratory disease mortality were highest in rural AI/AN and rural non-Hispanic White populations, respectively.Conclusions. Investigating rural-urban disparities without also considering race/ethnicity leaves minority health disparities unexamined and thus unaddressed. Further research is needed to clarify local factors associated with these disparities and to test appropriate interventions.

Geographic Variations of Potentially Curative Treatments for Hepatocellular Carcinoma in the United States: A SEER-Medicare Study.

BACKGROUND: Transplantation, surgical resection, radiofrequency ablation, and percutaneous ethanol injection are generally considered potentially curative treatments for patients with hepatocellular carcinoma (HCC). With the increasing incidence of HCC, it is critical to investigate geographic variations in curative treatments and their associations with survival among patients. METHODS: A total of 6,782 patients with HCC during 2004 to 2011 were identified in the SEER-Medicare linked database and placed in quartiles based on the proportions undergoing potentially curative treatments per hospital referral region (HRR). Hierarchical Cox proportional hazards models were used to examine the association between regional potentially curative treatment patterns and survival across quartiles. RESULTS: An average of 16.9% of patients with HCC underwent potentially curative treatments during 2004 to 2011, varying substantially from 0% to 34.5% across HRRs. Compared with patients residing in the lowest-quartile regions, those in the highest-quartile regions were more likely to be of other races (vs white or black), be infected with hepatitis B virus, and have more comorbidities. The 5-year survival was 4.7% in the lowest-quartile regions and 11.4% in the highest-quartile regions (P<.001). After controlling for confounders, patients in the highest-quartile regions had a lower risk of mortality (adjusted hazard ratio, 0.78; 95% CI, 0.72-0.85). CONCLUSIONS: Patients with HCC who resided in HRRs with higher proportions of potentially curative treatments had better survival. Given its proven survival benefits, prompt clinical and policy actions are needed to reduce variations in treatment utilization.

Associations Between End-of-Life Expenditures and Hospice Stay Length Vary by Clinical Condition and Expenditure Duration.

OBJECTIVES: Hospice use reduces costly aggressive end-of-life (EOL) care (eg, repeated hospitalizations, intensive care unit care, and emergency department visits). Nevertheless, associations between hospice stays and EOL expenditures in prior research have been inconsistent. We examined the differential associations between hospice stay duration and EOL expenditures among newly diagnosed patients with cancer, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and dementia. METHODS: In the Surveillance, Epidemiology, and End Results-Medicare data, we identified 240 246 decedents diagnosed with the aforementioned conditions during 2001 to 2013. We used zero-inflated negative binomial regression models to examine the differential associations between hospice length of services and EOL expenditures incurred during the last 90, 180, and 360 days of life. RESULTS: For the last 360 days of expenditures, hospice stays beyond 30 days were positively associated with expenditures for decedents with COPD, CHF, and dementia but were negatively associated for cancer decedents (all P<.001) after adjusting for demographic and medical covariates. In contrast, for the last 90 days of expenditures, hospice stay duration and expenditures were consistently negatively associated for each of the 4 patient disease groups. CONCLUSIONS: Longer hospice stays were associated with lower 360-day expenditures for cancer patients but higher expenditures for other patients. We recommend that Medicare hospice payment reforms take distinct disease trajectories into account. The relationship between expenditures and hospice stay length also depended on the measurement duration, such that measuring expenditures for the last 6 months of life or less overstates the cost-saving benefit of lengthy hospice stays.

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.

Long-Term Outcomes of Sentinel Lymph Node Biopsy for Ductal Carcinoma in Situ.

The use of sentinel lymph node biopsy (SLNB) for ductal carcinoma in situ (DCIS) is controversial. Using population-cohort data, we examined whether SLNB improves long-term outcomes among patients with DCIS who underwent breast-conserving surgery. We identified 12 776 women aged 67-94 years diagnosed during 2001-2013 with DCIS who underwent breast-conserving surgery from the US Surveillance, Epidemiology, and End Results-Medicare dataset, 1992 (15.6%) of whom underwent SLNB (median follow-up: 69 months). Tests of statistical significance are two-sided. Patients with and without SLNB did not differ statistically significantly regarding treated recurrence (3.9% vs 3.7%; P = .62), ipsilateral invasive occurrence (1.4% vs 1.7%, P = .33), or breast cancer mortality (1.0% vs 0.9%, P = .86). With Mahalanobis-matching and competing-risks survival analyses, SLNB was not statistically significantly associated with treated recurrence, ipsilateral invasive occurrence, or breast cancer mortality (P ≥ .27). Our findings do not support the routine performance of SLNB for older patients with DCIS amenable to breast conservation.