Examining Medicaid Waivers-An Opportunity to Promote Equity in Cancer Care.

This Viewpoint discusses the impact of Medicaid Section 1115 waivers on the equity of cancer care delivery in the US.

Expanding Access to High-Quality Cancer Care Through Policy-California Cancer Care Equity Act.

This Viewpoint describes key domains in which the California Cancer Care Equity Act may benefit patients, recommends potential improvements to further expand access and reduce disparities, and suggests possible safeguards to monitor and minimize unintended consequences.

Residential Redlining, Neighborhood Trajectory, and Equity of Breast and Colorectal Cancer Care.

OBJECTIVE: This study aimed to determine the influence of structural racism, vis-à-vis neighborhood socioeconomic trajectory, on colorectal and breast cancer diagnosis and treatment. SUMMARY BACKGROUND DATA: Inequities in cancer care are well documented in the United States but less is understood about how historical policies like residential redlining and evolving neighborhood characteristics influence current gaps in care. METHODS: This retrospective cohort study included adult patients diagnosed with colorectal or breast cancer between 2010 and 2015 in 7 Indiana cities with available historic redlining data. Current neighborhood socioeconomic status was determined by the Area Deprivation Index (ADI). Based on historic redlining maps and current ADI, we created four "Neighborhood Trajectory" categories: Advantage Stable, Advantage Reduced, Disadvantage Stable, Disadvantage Reduced. Modified Poisson regression models estimated the relative risks (RR) of Neighborhood Trajectory on cancer stage at diagnosis and receipt of cancer-directed surgery (CDS). RESULTS: A final cohort derivation identified 4,862 cancer patients with colorectal or breast cancer. Compared to Advantage Stable neighborhoods, Disadvantage Stable neighborhood was associated with late-stage diagnosis for both colorectal and breast cancer (RR=1.30 [95% CI=1.05 - 1.59]; RR=1.41 [1.09 - 1.83], respectively). Black patients had lower likelihood of receiving CDS in Disadvantage Reduced neighborhoods (RR=0.92 [0.86 - 0.99]) than White patients. CONCLUSIONS: Disadvantage Stable neighborhoods were associated with late-stage diagnosis for breast and colorectal cancer. Disadvantage Reduced (gentrified) neighborhoods were associated with racial-inequity in CDS. Improved neighborhood socioeconomic conditions may improve timely diagnosis but could contribute to racial inequities in surgical treatment.

Association of rurality, socioeconomic status, and race with pancreatic cancer surgical treatment and survival.

BACKGROUND: Pancreatectomy is a necessary component of curative intent therapy for pancreatic cancer, and patients living in nonmetropolitan areas may face barriers to accessing timely surgical care. We evaluated the intersecting associations of rurality, socioeconomic status (SES), and race on treatment and outcomes of Medicare beneficiaries with pancreatic cancer. METHODS: We conducted a retrospective cohort study, using fee-for-service Medicare claims of beneficiaries with incident pancreatic cancer (2016-2018). We categorized beneficiary place of residence as metropolitan, micropolitan, or rural. Measures of SES were Medicare-Medicaid dual eligibility and the Area Deprivation Index. Primary study outcomes were receipt of pancreatectomy and 1-year mortality. Exposure-outcome associations were assessed with competing risks and logistic regression. RESULTS: We identified 45 915 beneficiaries with pancreatic cancer, including 78.4%, 10.9%, and 10.7% residing in metropolitan, micropolitan, and rural areas, respectively. In analyses adjusted for age, sex, comorbidity, and metastasis, residents of micropolitan and rural areas were less likely to undergo pancreatectomy (adjusted subdistribution hazard ratio = 0.88 for rural, 95% confidence interval [CI] = 0.81 to 0.95) and had higher 1-year mortality (adjusted odds ratio = 1.25 for rural, 95% CI = 1.17 to 1.33) compared with metropolitan residents. Adjustment for measures of SES attenuated the association of nonmetropolitan residence with mortality, and there was no statistically significant association of rurality with pancreatectomy after adjustment. Black beneficiaries had lower likelihood of pancreatectomy than White, non-Hispanic beneficiaries (subdistribution hazard ratio = 0.80, 95% CI = 0.72 to 0.89, adjusted for SES). One-year mortality in metropolitan areas was higher for Black beneficiaries (adjusted odds ratio = 1.15, 95% CI = 1.05 to 1.26). CONCLUSIONS: Rurality, socioeconomic deprivation, and race have complex interrelationships and are associated with disparities in pancreatic cancer treatment and outcomes.

Rural Disparities in Lung Cancer-directed Surgery: A Medicare Cohort Study.

OBJECTIVE: The primary objective of this study was to determine the influence of rural residence on access to and outcomes of lung cancer-directed surgery for Medicare beneficiaries. SUMMARY OF BACKGROUND DATA: Lung cancer is the leading cause of cancerrelated death in the United States and rural patients have 20% higher mortality. Drivers of rural disparities along the continuum of lung cancercare delivery are poorly understood. METHODS: Medicare claims (2015-2018) were used to identify 126,352 older adults with an incident diagnosis of nonmetastatic lung cancer. Rural Urban Commuting Area codes were used to define metropolitan, micropolitan, small town, and rural site of residence. Multivariable logistic regression models evaluated influence of place of residence on 1) receipt of cancer-directed surgery, 2) time from diagnosis to surgery, and 3) postoperative outcomes. RESULTS: Metropolitan beneficiaries had higher rate of cancer-directed surgery (22.1%) than micropolitan (18.7%), small town (17.5%), and isolated rural (17.8%) (P < 0.001). Compared to patients from metropolitan areas, there were longer times from diagnosis to surgery for patients living in micropolitan, small, and rural communities. Multivariable models found nonmetropolitan residence to be associated with lower odds of receiving cancer-directed surgery and MIS. Nonmetropolitan residence was associated with higher odds of having postoperative emergency department visits. CONCLUSIONS: Residence in nonmetropolitan areas is associated with lower probability of cancer-directed surgery, increased time to surgery, decreased use of MIS, and increased postoperative ED visits. Attention to timely access to surgery and coordination of postoperative care for nonmetropolitan patients could improve care delivery.

Reasons for Long-term Opioid Prescriptions After Guideline-directed Opioid Prescribing and Excess Opioid Pill Disposal.

OBJECTIVES: The aim of this study was to determine the frequency and reasons for long-term opioid prescriptions (rxs) after surgery in the setting of guideline-directed prescribing and a high rate of excess opioid disposal. BACKGROUND: Although previous studies have demonstrated that 5% to 10% of opioid-naïve patients prescribed opioids after surgery will receive long-term (3-12 months after surgery) opioid rxs, little is known about the reasons why long-term opioids are prescribed. METHODS: We studied 221 opioid-naïve surgical patients enrolled in a previously reported prospective clinical trial which used a patient-centric guideline for discharge opioid prescribing and achieved a high rate of excess opioid disposal. Patients were treated on a wide variety of services; 88% of individuals underwent cancer-related surgery. Long-term opioid rxs were identified using a Prescription Drug Monitoring Program search and reasons for rxs and opioid adverse events were ascertained by medical record review. We used a consensus definition for persistent opioid use: opioid rx 3 to 12 months after surgery and >60day supply. RESULTS: 15.3% (34/221) filled an opioid rx 3 to 12 months after surgery, with 5.4% and 12.2% filling an rx 3 to 6 and 6 to 12 months after surgery, respectively. The median opioid rx days supply per patient was 7, interquartile range 5 to 27, range 1 to 447 days. The reasons for long-term opioid rxs were: 51% new painful medical condition, 40% new surgery, 6% related to the index operation; only 1 patient on 1 occasion was given an opioid rx for a nonspecific reason. Five patients (2.3%) developed persistent opioid use, 2 due to pain from recurrent cancer, 2 for new medical conditions, and 1 for a chronic abscess. CONCLUSIONS: In a group of prospectively studied opioid-naïve surgical patients discharged with guideline-directed opioid rxs and who achieved high rates of excess opioid disposal, no patients became persistent opioid users solely as a result of the opioid rx given after their index surgery. Long-term opioid use did occur for other, well-defined, medical or surgical reasons.

Association of rurality with utilization of palliative care and hospice among Medicare beneficiaries who died from pancreatic cancer: A cohort study.

BACKGROUND: Pancreatic cancer has a 5-year survival of just 10%. Services such as palliative care and hospice are thus crucial in this population, yet their geographic accessibility and utilization remains unknown. AIM: We studied the association between rurality of patient residence and the use of palliative care and hospice. DESIGN, SETTING, AND PARTICIPANTS: Cohort study of continuously enrolled fee-for-service Medicare beneficiaries aged ≥65 diagnosed with incident pancreatic cancer between 04/01/2016-08/31/2018 and who died by 12/31/2018. RESULTS: In this decedent cohort of 31,460 patients, 77% lived in metropolitan areas, 11% in micropolitan areas, 7% in small towns, and 5% in rural areas. Patient demographics were largely similar across rurality; however, the proportion of White, non-Hispanic patients and social deprivation was highest in rural areas and lowest in metropolitan areas. Overall, 33% of patients used any palliative care and 77% received hospice services. After risk adjustment, there were no statistically significant differences in the use of palliative care for patients residing in metropolitan versus micropolitan, small town, or rural areas. Patients in small town (OR = 0.77, 95% CI: 0.69-0.86) and rural areas (OR = 0.75, 95% CI: 0.66-0.85) had lower adjusted odds of receiving hospice care compared to patients in metropolitan areas. CONCLUSIONS: The use of palliative care services captured in Medicare was low, representing either underutilization or failure to accurately measure the extent of services used. While the overall level of hospice enrollment was high, patients in rural communities had relatively lower use of hospice services compared to those in metropolitan areas.

The interaction of rurality and rare cancers for travel time to cancer care.

PURPOSE: Geographic access to cancer care is known to significantly impact utilization and outcomes. Longer travel times have negative impacts for patients requiring highly specialized care, such as for rare cancers, and for those in rural areas. Scant population-based research informs geographic access to care for rare cancers and whether rurality impacts that access. METHODS: Using Medicare data (2014-2015), we identified prevalent cancers and cancer-directed surgeries, chemotherapy, and radiation. We classified cancers as rare (incidence <6/100,000/year) or common (incidence ≥6/100,000/year) using previously published thresholds and categorized rurality from ZIP code of beneficiary residence. We estimated travel time between beneficiaries and providers for each service based on ZIP code. Descriptive statistics summarized travel time by rare versus common cancers, service type, and rurality. FINDINGS: We included 1,169,761 Medicare beneficiaries (21.9% in nonmetropolitan areas), 87,399; 7.5% had rare cancers, with 9,133,003 cancer-directed services. Travel times for cancer services ranged from approximately 29 minutes (25th percentile) to 68 minutes (75th percentile). Travel times were similar for rare and common cancers overall (median: 45 vs 43 minutes) but differed by service type; 13.4% of surgeries were >2 hours away for rare cancers, compared to 8.3% for common cancers. Increasing rurality disproportionately increased travel time to surgical care for rare compared to common cancers. CONCLUSIONS: Travel times to cancer services are longest for surgery, especially among rural residents, yet not markedly longer overall between rare versus common cancers. Understanding geographic access to cancer care for patients with rare cancers is important to delivering specialized care.

Development of Neighborhood Trajectories employing Historic Redlining and the Area Deprivation Index.

The role of historic residential redlining on health disparities is intertwined with policy changes made before and after the 1930s that influence current neighborhood characteristics and shape ongoing structural racism in the United States. We developed Neighborhood Trajectories which combine historic redlining data and the current neighborhood socioeconomic characteristics as a novel approach to studying structural racism. Home Owners Loan Corporation (HOLC) neighborhoods for the entire U.S. were used to map the HOLC grades to the 2020 U.S. Census block group polygons based on the percentage of HOLC areas in each block group. Each block group was also assigned an Area Deprivation Index (ADI) from the Neighborhood Atlas®. To evaluate changes in neighborhoods from historic HOLC grades to present degree of deprivation, we aggregated block groups into "Neighborhood Trajectories" using historic HOLC grades and current ADI. The Neighborhood Trajectories are "Advantage Stable"; "Advantage Reduced"; "Disadvantage Reduced"; and "Disadvantage Stable." Neighborhood Trajectories were established for 13.3% (32,152) of the block groups in the U.S., encompassing 38,005,799 people. Overall, the Disadvantage-Reduced trajectory had the largest population (16,307,217 people). However, the largest percentage of Non-Hispanic/Latino Black residents (34%) fell in the Advantage-Reduced trajectory, while the largest percentage of Non-Hispanic/Latino White residents (60%) fell in the Advantage-Stable trajectory. The development of the Neighborhood Trajectories affords a more nuanced mechanism to investigate dynamic processes from historic policy, socioeconomic development, and ongoing marginalization. This adaptable methodology may enable investigation of ongoing sociopolitical processes including gentrification of neighborhoods (Disadvantage-Reduced trajectory) and "White flight" (Advantage Reduced trajectory).

Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries.

BACKGROUND: Delays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood. METHODS: We used a 100% sample of fee-for-service Medicare claims during 2007-2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence. RESULTS: Delays were more prevalent among urban patients (2.5%) than rural patients (1.9%). Rural patients with medium- or high-volume surgeons had lower odds of delay than patients with low-volume surgeons (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.58-0.88; OR = 0.74, 95% CI = 0.61-0.90). Rural patients whose surgeon operated at ≥ 3 hospitals were more likely to experience delays (OR = 1.29, 95% CI = 1.01-1.64, Ref: 1 hospital). Patient driving times ≥ 1 h were associated with delays among urban patients only. Age, black race, Hispanic ethnicity, multimorbidity, and academic/specialty hospital status were associated with delays. CONCLUSIONS: Sociodemographic, geographic, surgeon, and facility factors have distinct associations with > 90-day delays to initial breast cancer surgery. Interventions to improve timeliness of breast cancer surgery may have disparate impacts on vulnerable populations by rural-urban status.

Influence of Race, Insurance, Rurality, and Socioeconomic Status on Equity of Lung and Colorectal Cancer Care.

BACKGROUND: This study evaluated the influence that social determinants of health had on stage at diagnosis and receipt of cancer-directed surgery for patients with lung and colorectal cancer in the North Carolina Central Cancer Registry (2010-2015). METHODS: This study examined non-Hispanic uninsured or privately-insured patients 18 to 64 years of age. Multivariable logistic regression models, including two-way interaction terms, assessed the influence of race, insurance status, rurality, and Social Deprivation Index on stage at diagnosis and receipt of surgery. RESULTS: 6574 lung cancer patients and 5355 colorectal cancer patients were included. Among the lung cancer patients, the uninsured patients had higher odds of having stage IV disease (odds ratio [OR] = 1.46; 95 % confidence interval [CI] = 1.22-1.76) and lower odds of receiving surgery (OR = 0.48; 95 % CI = 0.34-0.69) than the privately-insured patients. Among the colorectal cancer patients, uninsured status was associated with higher odds of stage IV disease (OR = 1.53; 95 % CI = 1.17-2.00) than privately-insured status. A significant insurance status and rurality interaction (p = 0.03) was found in the colorectal model for receipt of surgery. In the privately-insured group, non-Hispanic Black and rural patients had lower odds of receiving colorectal surgery (OR = 0.69; 95 % CI = 0.50-0.94 and OR = 0.68; 95 % CI = 0.52-0.89; respectively) than their non-Hispanic White and urban counterparts. CONCLUSIONS: After controlling for confounding and evaluation of interactions between patient-, community-, and geographic-level factors, uninsured status remained the strongest driver of patients' presentation with late-stage lung and colorectal cancer. As policy and care delivery transformation targets uninsured and vulnerable populations, explicit recognition, and measurement of intersectionality should be considered.

Influence of Race, Insurance, and Rurality on Equity of Breast Cancer Care.

BACKGROUND: Considerable gaps in knowledge remain regarding the intersectionality between race, insurance status, rurality, and community-level socioeconomic status that contribute in concert to disparities in breast cancer care delivery. METHODS: Women age 18-64 y old with either private, Medicaid, or no insurance coverage and a diagnosis of breast cancer from the North Carolina Central Cancer Registry (2010-2015) were identified and reviewed. Logistic regression models examined the impact of race, insurance status, rurality, and the Social Deprivation Index (SDI) on advanced stage disease at diagnosis (III, IV) and receipt of cancer directed surgery (CDS). Models tested two-way interactions between race, insurance status, rurality, and SDI. RESULTS: Of the study population (n = 23,529), 14.6% were diagnosed with advanced stage disease (III, IV), and 97.1% of women with non-metastatic breast cancer (n = 22,438) received cancer directed surgery (CDS). Twenty percent of women were non-Hispanic Black (NHB), 3.0% Hispanic, 10.9% Medicaid insured, 5.9% uninsured, 20.0% of women resided in rural areas, and 20.0% resided in communities of the highest quartile SDI. NHB race, Medicaid or uninsured status, and residence in rural or socially deprived areas were associated with advanced stage breast cancer at diagnosis. NHB and Medicaid or uninsured women were significantly less likely to receive CDS. There were no statistically significant interactions found influencing stage at diagnosis or receipt of cancer directed surgery. CONCLUSIONS: In a heterogeneous population across the state of North Carolina, non-Hispanic Black race, Medicaid or uninsured status, and residence in rural or high social deprivation communities are independently associated with advanced stage breast cancer at diagnosis, while non-Hispanic Black race and Medicaid or uninsured status are associated with lower odds to receive cancer directed surgery.

Association of Cost Sharing With Delayed and Complicated Presentation of Acute Appendicitis or Diverticulitis.

Importance: Treatment delays are associated with increased morbidity and cost of disease, although the extent to which cost sharing influences timely presentation and management of acute surgical disease remains unknown. Given recent policy changes using cost sharing to modify health care behavior, this study examines the association of cost sharing with the health of the patient at presentation and with receipt of optimal or minimally invasive surgery. Objective: To assess whether cost sharing is associated with the likelihood of early, uncomplicated patient presentation or with surgical management of 2 representative emergency general surgery diagnoses: acute appendicitis and acute diverticulitis. Design Setting and Participants: This cohort study used Health Care Cost Institute claims from January 1, 2013, through December 31, 2017, to analyze data of commercially insured individuals hospitalized for acute appendicitis or diverticulitis. In total, 151 852 patients in the data set aged 18 to 64 years and presenting with acute appendicitis or diverticulitis were included as identified using the International Classification of Diseases, Ninth Revision and the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Data were analyzed from January 2020 through February 2021. Exposures: The primary exposure was patient total cost sharing incurred for the index hospitalization, defined as their summed deductible, copayments, and coinsurance. Main Outcomes and Measures: The primary outcome was early, uncomplicated disease presentation. Secondary outcomes were receipt of optimal surgical care and minimally invasive surgery if undergoing an operation. Analyses were conducted with multivariable logistic regression models to adjust for patient characteristics and community-level socioeconomic and geographic factors. High cost sharing was defined as quartile 4 (>$3082), and low cost sharing as quartile 1 ($0-$502). Results: Among 151 852 patients, 52.4% were men, and the total cost-sharing median was $1725 (interquartile range, $503-$3082). Higher cost sharing was associated with lower odds of early, uncomplicated disease presentation (odds ratio, 0.63; 95% CI, 0.61-0.65). Patients with higher cost sharing were less likely to receive optimal surgical care (odds ratio, 0.96; 95% CI, 0.93-0.99) or minimally invasive surgery (odds ratio, 0.89; 95% CI, 0.84-0.95). Conclusions and Relevance: The findings of this cohort study suggest that, as policymakers debate the degree of cost sharing in public and private insurance plans, attention should be given to the clinical and financial implications associated with care delays.

Implications of the Affordable Care Act on Surgery and Cancer Care.

The Patient Protection and Affordable Care Act increased health insurance coverage to millions in the United States, transformed both the private and public insurance markets, and invested in care delivery changes in an attempt to increase the quality and value of health care. How these changes have translated to improved long-term oncologic outcomes, including for survivorship, remains to be seen. Newer models of payment and care delivery attempt to improve both short-term and long-term quality while better controlling cost trends. The extent to which cancer care delivery will be affected also needs further study and optimization.

Health Reform and Utilization of High-Volume Hospitals for Complex Cancer Operations.

PURPOSE: Underinsured patients are less likely to receive complex cancer operations at hospitals with high surgical volumes (high-volume hospitals, or HVHs), which contributes to disparities in care. To date, the impact of insurance coverage expansion on site of complex cancer surgery remains unknown. METHODS: Using the 2006 Massachusetts coverage expansion as a natural experiment, we searched the Hospital Cost and Utilization Project state inpatient databases for Massachusetts and control states (New York, New Jersey, and Florida) between 2001 and 2011 to evaluate changes in the utilization of HVHs for resections of bladder, esophageal, stomach, pancreatic, rectal, or lung cancer after the expansion of insurance coverage. We studied nonelderly, adult patients with private insurance and those with government-subsidized or self-pay (GSSP) coverage with a difference-in-differences framework. RESULTS: We studied 11,687 patients in Massachusetts and 56,300 patients in control states. Compared with control states, the 2006 Massachusetts insurance expansion was associated with a 14% increased rate of surgical intervention for GSSP patients (incident rate ratio, 1.14; P = .015), but there was no significant change in the probability of GSSP patients undergoing surgery at an HVH (1.0 percentage-point increase; P = .710). The reform was associated with no change in the uninsured payer-mix at HVHs (0.6 percentage-point increase; P = .244) and with a 5.1 percentage-point decrease for the uninsured payer mix at low-volume hospitals ( P < .001). CONCLUSION: The 2006 Massachusetts insurance expansion, a model for the Affordable Care Act, was associated with increased rates of complex cancer operations and increased insurance coverage but with no change in utilization of HVH for complex cancer operations.

Potential impact of a volume pledge on spatial access: A population-level analysis of patients undergoing pancreatectomy.

BACKGROUND: A minimum-volume policy restricting hospitals not meeting the threshold from performing complex operation may increase travel burden and decrease spatial access to operation. We aim to identify vulnerable populations that would be sensitive to an added travel burden. METHODS: We performed a retrospective analysis of the database of the California Office of Statewide Health Planning and Development for patients undergoing pancreatectomy from 2005 to 2014. Number of hospitals bypassed was used as a metric for travel. Patients bypassing fewer hospitals were deemed to be more sensitive to an added travel burden. RESULTS: There were 13,374 patients who underwent a pancreatectomy, of whom 2,368 (17.7%) were nonbypassers. On unadjusted analysis, patients >80 year old travelled less than their younger counterparts, bypassing a mean of 10.9 ± 9.5 hospitals compared with 14.2 ± 21.3 hospitals bypassed by the 35-49 year old age group (P < .001). Racial minorities travelled less when compared with non-Hispanic whites (P < .001). Patients identifying their payer status as self-pay (8.9 ± 15.6 hospitals bypassed) and Medicaid (10.1 ± 17.2 hospitals bypassed) also travelled less when compared with patients with private insurance (13.8 ± 20.4 hospitals bypassed, P < .001). On multivariate analysis, advanced age, racial minority, and patients with self-pay or Medicaid payer status were associated independently with increased sensitivity to an added travel burden. CONCLUSION: In patients undergoing pancreatectomy, the elderly, racial minorities, and patients with self-pay or Medicaid payer status were associated with an increased sensitivity to an added travel burden. This vulnerable cohort may be affected disproportionately by a minimum-volume policy.