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

The role of historic residential redlining on health inequities 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 (U.S.). 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).

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.

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).

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.

The association of prescription opioid use with incident cancer: A Surveillance, Epidemiology, and End Results-Medicare population-based case-control study.

BACKGROUND: Cancer is the second leading cause of death globally, and researchers seek to identify modifiable risk factors Over the past several decades, there has been ongoing debate whether opioids are associated with cancer development, metastasis, or recurrence. Basic science, clinical, and observational studies have produced conflicting results. The authors examined the association between prescription opioids and incident cancers using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. A complex relation was observed between prescription opioids and incident cancer, and cancer site may be an important determinant. METHODS: By using linked SEER cancer registry and Medicare claims from 2008 through 2013, a case-control study was conducted examining the relation between cancer onset and prior opioid exposure. Logistic regression was used to account for differences between cases and controls for 10 cancer sites. RESULTS: Of the population studied (n = 348,319), 34% were prescribed opioids, 79.5% were white, 36.9% were dually eligible (for both Medicare and Medicaid), 13% lived in a rural area, 52.7% had ≥1 comorbidity, and 16% had a smoking-related diagnosis. Patients exposed to opioids had a lower odds ratio (OR) associated with breast cancer (adjusted OR, 0.96; 95% CI, 0.92-0.99) and colon cancer (adjusted OR, 0.90; 95% CI, 0.86-0.93) compared with controls. Higher ORs for kidney cancer, leukemia, liver cancer, lung cancer, and lymphoma, ranging from lung cancer (OR, 1.04; 95% CI, 1.01-1.07) to liver cancer (OR, 1.19; 95% CI, 1.08-1.31), were present in the exposed population. CONCLUSIONS: The current results suggest that an association exists between prescription opioids and incident cancer and that cancer site may play an important role. These findings can direct future research on specific patient populations that may benefit or be harmed by prescription opioid exposure.

Automated delineation of cancer service areas in northeast region of the United States: A network optimization approach.

OBJECTIVE: Derivation of service areas is an important methodology for evaluating healthcare variation, which can be refined to more robust, condition-specific, and empirically-based automated regions, using cancer service areas as an exemplar. DATA SOURCES/STUDY SETTING: Medicare claims (2014-2015) for the nine-state Northeast region were used to develop a ZIP-code-level origin-destination matrix for cancer services (surgery, chemotherapy, and radiation). This population-based study followed a utilization-based approach to delineate cancer service areas (CSAs) to develop and test an improved methodology for small area analyses. DATA COLLECTION/EXTRACTION METHODS: Using the cancer service origin-destination matrix, we estimated travel time between all ZIP-code pairs, and applied a community detection method to delineate CSAs, which were tested for localization, modularity, and compactness, and compared to existing service areas. PRINCIPAL FINDINGS: Delineating 17 CSAs in the Northeast yielded optimal parameters, with a mean localization index (LI) of 0.88 (min: 0.60, max: 0.98), compared to the 43 Hospital Referral Regions (HRR) in the region (mean LI: 0.68; min: 0.18, max: 0.97). Modularity and compactness were similarly improved for CSAs vs. HRRs. CONCLUSIONS: Deriving cancer-specific service areas with an automated algorithm that uses empirical and network methods showed improved performance on geographic measures compared to more general, hospital-based service areas.

Diffusion of digital breast tomosynthesis among women in primary care: associations with insurance type.

Digital breast tomosynthesis (DBT) has shown potential to improve breast cancer screening and diagnosis compared to digital mammography (DM). The FDA approved DBT use in conjunction with conventional DM in 2011, but coverage was approved by CMS recently in 2015. Given changes in coverage policies, it is important to monitor diffusion of DBT by insurance type. This study examined DBT trends and estimated associations with insurance type. From June 2011 to September 2014, DBT use in 22 primary care centers in the Dartmouth -Brigham and Women's Hospital Population-based Research Optimizing Screening through Personalized Regimens research center (PROSPR) was examined among women aged 40-89. A longitudinal repeated measures analysis estimated the proportion of DBT performed for screening or diagnostic indications over time and by insurance type. During the study period, 93,182 mammograms were performed on 48,234 women. Of these exams, 16,506 DBT tests were performed for screening (18.1%) and 2537 were performed for diagnosis (15.7%). Between 2011 and 2014, DBT utilization increased in all insurance groups. However, by the latest observed period, screening DBT was used more frequently under private insurance (43.4%) than Medicaid (36.2%), Medicare (37.8%), other (38.6%), or no insurance (32.9%; P < 0.0001). No sustained differences in use of DBT for diagnostic testing were seen by insurance type. DBT is increasingly used for breast cancer screening and diagnosis. Use of screening DBT may be associated with insurance type. Surveillance is required to ensure that disparities in breast cancer screening are minimized as DBT becomes more widely available.

The Role of Preoperative Magnetic Resonance Imaging in the Assessment and Surgical Treatment of Interval and Screen-Detected Breast Cancer in Older Women.

We describe the relationship between preoperative magnetic resonance imaging (MRI) and the utilization of additional imaging, biopsy, and primary surgical treatment for subgroups of women with interval versus screen-detected breast cancer. We determined the proportion of women receiving additional breast imaging or biopsy and type of primary surgical treatment, stratified by use of preoperative MRI, separately for both groups. Using Breast Cancer Surveillance Consortium (BCSC) data, we identified a cohort of women age 66 and older with an interval or screen-detected breast cancer diagnosis between 2005 and 2010. Using logistic regression, we explored associations between primary surgical treatment type and preoperative MRI use for interval and screen-detected cancers. There were 204 women with an interval cancer and 1,254 with a screen-detected cancer. The interval cancer group was more likely to receive preoperative MRI (21% versus 13%). In both groups, women receiving MRI were more likely to receive additional imaging and/or biopsy. Receipt of MRI was not associated with increased odds of mastectomy (OR = 0.99, 95% CI: 0.67-1.50), while interval cancer diagnosis was associated with significantly higher odds of mastectomy (OR = 1.64, 95% CI: 1.11-2.42). Older women with interval cancer were more likely than women with a screen-detected cancer to have preoperative MRI, however, those with an interval cancer had 64% higher odds of mastectomy regardless of receipt of MRI. Given women with interval cancer are reported to have a worse prognosis, more research is needed to understand effectiveness of imaging modalities and treatment consequences within this group.

Costs of diagnostic and preoperative workup with and without breast MRI in older women with a breast cancer diagnosis.

BACKGROUND: Breast cancer in the U.S. - estimated at 232,670 incident cases in 2014 - has the highest aggregate economic burden of care relative to other female cancers. Yet, the amount of cost attributed to diagnostic/preoperative work up has not been characterized. We examined the costs of imaging and biopsy among women enrolled in Medicare who did and did not receive diagnostic/preoperative Magnetic Resonance Imaging (MRI). METHODS: Using Surveillance, Epidemiology and End Results (SEER)- Medicare data, we compared the per capita costs (PCC) based on amount paid, between diagnosis date and primary surgical treatment for a breast cancer diagnosis (2005-2009) with and without diagnostic/preoperative MRI. We compared the groups with and without MRI using multivariable models, adjusting for woman and tumor characteristics. RESULTS: Of the 53,653 women in the cohort, within the diagnostic/preoperative window, 20 % (N = 10,776) received diagnostic/preoperative MRI. Total unadjusted median costs were almost double for women with MRI vs. without ($2,251 vs. $1,152). Adjusted costs were higher among women receiving MRI, with significant differences in total costs ($1,065), imaging costs ($928), and biopsies costs ($138). CONCLUSION: Costs of diagnostic/preoperative workups among women with MRI are higher than those without. Using these cost estimates in comparative effectiveness models should be considered when assessing the benefits and harms of diagnostic/preoperative MRI.

Factors Associated with Preoperative Magnetic Resonance Imaging Use among Medicare Beneficiaries with Nonmetastatic Breast Cancer.

Preoperative breast magnetic resonance imaging (MRI) use among Medicare beneficiaries with breast cancer has substantially increased from 2005 to 2009. We sought to identify factors associated with preoperative breast MRI use among women diagnosed with ductal carcinoma in situ (DCIS) or stage I-III invasive breast cancer (IBC). Using Surveillance, Epidemiology, and End Results and Medicare data from 2005 to 2009 we identified women ages 66 and older with DCIS or stage I-III IBC who underwent breast-conserving surgery or mastectomy. We compared preoperative breast MRI use by patient, tumor and hospital characteristics stratified by DCIS and IBC using multivariable logistic regression. From 2005 to 2009, preoperative breast MRI use increased from 5.9% to 22.4% of women diagnosed with DCIS and 7.0% to 24.3% of women diagnosed with IBC. Preoperative breast MRI use was more common among women who were younger, married, lived in higher median income zip codes and had no comorbidities. Among women with IBC, those with lobular disease, smaller tumors (<1 cm) and those with estrogen receptor negative tumors were more likely to receive preoperative breast MRI. Women with DCIS were more likely to receive preoperative MRI if tumors were larger (>2 cm). The likelihood of receiving preoperative breast MRI is similar for women diagnosed with DCIS and IBC. Use of MRI is more common in women with IBC for tumors that are lobular and smaller while for DCIS MRI is used for evaluation of larger lesions.

New Hampshire critical access hospitals: CEOs' report on ethical challenges.

Research into the importance of organizational healthcare ethics has increasingly appeared in healthcare publications. However, to date, few published studies have examined ethical issues from the perspective of healthcare executives, and no empirical study has addressed organizational ethics with an explicit focus on rural hospitals. For our study, we sought to identify the frequency of ethical conflicts occurring within 12 general categories (domains) of administrative activities. Also, we wanted to determine what ethics resources are currently available and whether additional resources would be helpful. We conducted a structured telephone interview of all 13 chief executive officers (CEOs) of critical access hospitals in New Hampshire. All the CEOs in the study indicated that they encountered ethical conflicts. On average, the three most frequently noted domains were organizational-professional staff relations, reimbursement, and clinical care. All CEOs indicated they would like to have additional ethics resources to address these conflicts. This study verified that CEOs encounter a broad spectrum of ethical conflicts and need additional ethics resources to address them. Because this study used a small sample of CEOs and represented only one New England state, further ethics-related research in rural healthcare facilities is warranted. Follow-up study would allow for (1) a higher level of generalization of the findings, (2) clarity regarding specific ethical dilemmas that rural healthcare executives encounter, and (3) an assessment of ethics resources and training that healthcare executives need to address the ethical conflicts.