Impact of travel distance to the treatment facility on overall mortality in US patients with prostate cancer

Multi-Institutional Study of Referral Patterns for Gynecologic Oncology Consultation

PURPOSE

Evaluation by a gynecologic oncologist (GO) is associated with improved clinical outcomes for patients with gynecologic cancers, yet little is known about health care factors that influence patients' referrals to GO.

METHODS

Medical records of 50 consecutive new patients seen in GO clinics at each of six referral centers across the United States were reviewed. Patient and disease characteristics were collected along with referral indication, evaluation and referral dates, diagnostic procedures, provider specialties, and zone improvement plan (ZIP) code of up to three referring providers per patient. The primary outcome was interval between first evaluation and referral. Univariate associations were evaluated with Chi-square and Wilcoxon rank-sum tests and multivariable associations with negative binomial regression models. Secondary outcome was prolonged time to GO referral, defined as greater than the 75th percentile. Logistic regression was used for multivariable modeling.

RESULTS

Three hundred patient records were analyzed. The median time from first health care encounter to referral was 15 days (IQR, 5-43). The mean distance from residence to GO was 39.8 miles (standard deviation, 53.8). Seventy-one percent of GO referrals were initiated by obstetrician-gynecologists, 9% by family physicians, and 6% internists. Presentation-to-referral interval was 76% shorter for patients evaluated by an emergency medicine clinician (exp(Beta), 0.24; 95% CI, 0.11 to 0.53; P < .001). Public insurance was associated with 1.47 times longer time to referral compared with private insurance (exp(Beta), 1.47; 95% CI, 1.05 to 2.04; P = .001). Residents of nonmetropolitan ZIP codes were less likely to have prolonged time to referral (odds ratio [OR], 0.288; P = .017). Distance from residence to GO (per 10 miles) increased the likelihood of prolonged time to referral (OR, 1.10; P = .010).

CONCLUSION

Interventions are needed to improve recognition and referral of patients for gynecologic oncology evaluation. Community outreach and engagement with obstetrician-gynecologists should be prioritized to improve times to referral.

The impact of distance to facility on treatment modality, short-term outcomes, and survival of patients with HPV-positive oropharyngeal squamous cell carcinoma

PURPOSE

This study compared treatment and outcomes for patients with HPV-positive oropharyngeal squamous cell carcinoma (OPSCC) based on their travel distance to treatment facility.

MATERIALS AND METHODS

Patients with cT1-4, N0-3, M0 HPV-positive OPSCC in the National Cancer Database from 2010 to 2019 were identified and split into four quartiles based on distance to facility, with quartile 4 representing patients with furthest travel distances. Multivariable-adjusted logistic regression and Cox proportional hazards modeling were used to analyze the primary outcome of treatment received, and secondary outcomes of clinical stage, overall survival, surgical approach (i.e., TORS versus other), and 30-day surgical readmissions.

RESULTS

17,207 patients with HPV-positive OPSCC were evenly distributed into four quartiles. Compared to patients in quartile 1, patients in quartile 4 were 40 % less likely to receive radiation versus surgery (OR = 0.60; 95 % CI = 0.54-0.66). Among the patients who received surgery, quartile 4 had a higher odds of receiving TORS treatment compared to quartile 1 (4v1: OR = 2.38; 95 % CI = 2.05-2.77), quartile 2 (4v2: OR = 2.31, 95 % CI = 2.00-2.66), and quartile 3 (4v3: OR = 1.75; 95 % CI = 1.54-1.99). Quartile 4 had a decreased odds of mortality compared to Quartile 1 (4v1: OR = 0.87; 95 % CI = 0.79-0.97). There were no differences among the quartiles in presenting stage and 30-day readmissions.

CONCLUSIONS

This study found that patients with furthest travel distance to facility were more often treated surgically over non-surgical management, with TORS over open surgery, and had better overall survival. These findings highlight potential disparities in access to care for patients with HPV-positive OPSCC.

Delaying Surgery in Favorable-Risk Prostate Cancer Patients: An NCDB Analysis of Oncologic Outcomes

INTRODUCTION

Concern for overtreatment in very low-, low-, and favorable intermediate-risk prostate cancer has promoted a more conservative approach through active surveillance (AS) with comparable survival outcomes. We analyzed the National Cancer Database (NCDB) to determine if delaying radical prostatectomy greater than 6 months is associated with an increase in the rate of adverse pathology or secondary treatment (adjuvant or salvage) at radical prostatectomy.

METHODS

Utilizing the NCDB from 2004 to 2019, 40 to 75-year-old men with very low-, low-, and favorable-intermediate-risk prostate cancer, as defined by the National Comprehensive Cancer Network, were identified for this study. These individuals received radical prostatectomy either before or after 6 months following diagnosis. Clinical, demographic, and pathologic characteristics were obtained. Adverse pathologic outcomes were defined as pT3-4N0-1 and/or positive surgical margins. Multiple logistic regression models were used to predict delays in treatment, adverse pathologic outcomes, and receipt of secondary therapy. Survival analysis was performed using the Cox Proportional Hazards Model and the Kaplan-Meier Method.

RESULTS

Of the 195,397 patients who met inclusion criteria, only 13,393 patients received surgery 6 months after diagnosis. The median time of delay was 7.5 months compared to 2.3 months in the immediate treatment group. Overall, delaying surgery had no statistically significant impact on adverse pathologic outcomes, regardless of risk category. However, when accounting for the interaction between race and delayed treatment, non-Hispanic black patients who received a delay in treatment were more likely to experience adverse features (OR 1.12, 95%CI 1.00-1.26, P = .041). Conversely, patients who had delayed surgery were less likely to receive additional therapy (either adjuvant or salvage) (OR 0.60, 95%CI 0.52-0.68, P < .001). Survival analysis showed that both groups fared well, with a 5-year survival of 97% for both groups. The treatment group was not predictive of survival.

CONCLUSION

Overall, delaying surgery more than 6 months following diagnosis did not have a significant impact on adverse pathologic features or overall survival. However, when specifically looking at non-Hispanic black patients with a treatment delay, these patients were at increased risk for adverse features, suggesting that the negative impact of treatment delay depends on the patient's race. As race is a social construct, this finding likely points to the complex socioeconomic factors that contribute to overall health outcomes rather than any inherent disease characteristics. Lastly, delayed treatment patients were actually less likely to require secondary therapy, regardless of race, possibly reflecting high clinician acumen in selecting patients appropriate for treatment delay. The results suggest that patients who ultimately "fail" AS and require subsequent surgery have overall comparable survival outcomes. However, pathologic outcomes are dependent on the patient's underlying race, with non-Hispanic black patients experiencing an increased risk of adverse outcomes if treatment is delayed.

Analysis of trend in the role of national and regional hubs in prostatectomy after prostate cancer diagnosis in the past 5 years: A nationwide population-based study

PURPOSE

The regions where patients diagnosed with prostate cancer by biopsy receive prostatectomy are divided into national hub and regional hubs, and to confirm the change in the role of regional hubs compared to national hub.

MATERIALS AND METHODS

Data from July 2013 to June 2017 encompassing 218,155 patients aged ≥18 years diagnosed with prostate cancer were analyzed using the Health Insurance Review & Assessment Service database. The degree of patient outflow was assessed by dividing the regional diagnosis-to-surgery ratio with the national ratio for each year. Based on this ratio, national and regional hubs were determined.

RESULTS

Seoul consistently maintained a patient influx with a ratio above 1.6. Busan and Gyeonggi consistently exceeded 0.9, while Ulsan and Daegu steadily increased, exceeding 1.0 between 2015 and 2016. Jeonnam province also consistently maintained the ratio above 0.7. Jeju, Daejeon, Gangwon, and Incheon remained below 0.5, indicative of substantial patient outflows, whereas Gwangju and Gyeongbuk had the highest patient outflows with ratios below 0.15. Therefore, Seoul was designated as a national hub, whereas Busan, Gyeonggi, Ulsan, Daegu, and Jeonnam were classified as regional hubs. Jeju, Daejeon, Gangwon, and Incheon were the dominant outflow areas, while Gwangju and Gyeongbuk were the highest outflow areas.

CONCLUSIONS

Seoul, as the national hub for prostate cancer surgery, operated on 1.76 times more patients than any other region during 2013-2017. Busan, Gyeonggi, Ulsan, Daegu, and Jeonnam functioned as regional hubs, but approximately 10%-20% of patients sought treatment at national hubs.

Factors associated with survival of patients with advanced lung cancer and long travel distances

BACKGROUND/PURPOSE

Patients with advanced cancer sometimes travel to locations that have the treatment that they need. We explored the prognostic factors of survival in patients with advanced lung cancer who travel long distances in Taiwan.

METHODS

We obtained data from the National Taiwan University Hospital (NTUH) Integrated Medical Database. Patients who received a diagnosis of stage IV lung cancer from 2010 to 2019 and were treated in NTUH and its Hsinchu and Yunlin branches were enrolled. Factors associated with survival were analyzed using a Cox hazard regression model.

RESULTS

In total, 6178 patients with stage IV lung cancer were enrolled. Young age, female sex, smaller primary tumor size, better performance, and non-squamous cell non-small cell histology were independently associated with longer survival. Treatment in medical centers and long travel distances (>50 km) were associated with longer survival in the univariate analysis but not in the multivariate analysis (hazard ratio [HR]: 1.04, p = 0.361; HR: 0.99, p = 0.775, respectively). Participation in clinical trials was associated with longer survival in the univariate (HR: 0.53, p < 0.001) and multivariate analyses (HR: 0.62, p < 0.001). For the 1144 patients in the Hsinchu area, enrolment in clinical trials was an independent prognostic factor (HR: 0.72, p = 0.040), whereas treatment in medical centers was not (HR: 0.95, p = 0.635).

CONCLUSION

Long travel distances and treatment in medical centers were not independently associated with survival for patients with advanced lung cancer. Enrolment in clinical trials was an independent prognostic factor.

Association Between Social Determinants of Health, Distance from Treatment Center, and Treatment Type with Outcomes in Human Papillomavirus Associated Oropharyngeal cancer

OBJECTIVES

Social determinants of health (SDOH) can influence access to cancer care, clinical trials, and oncologic outcomes. We investigated the association between SDOH, distance from treatment center, and treatment type with outcomes in human papillomavirus associated oropharyngeal squamous cell carcinoma [HPV(+)OPSCC] patients treated at a tertiary care center.

STUDY DESIGN

Retrospective review.

METHODS

HPV(+)OPSCC patients treated surgically from 2006 to 2021 were selected from our departmental Oropharyngeal Cancer RedCap database. Demographic data, treatment, and oncologic outcomes were extracted. Distance was calculated in miles between the centroid of each patient zip code and our hospital zip code (zipdistance).

RESULTS

874 patients (89 % male; mean age: 58 years) were identified. Most patients (96 %) reported Non-Hispanic White as their primary race. 204 patients (23 %) had a high-school degree or less, 217 patients (25 %) reported some college education or a 2-year degree, 153 patients (18 %) completed a four-year college degree, and 155 patients (18 %) had post-graduate degrees. Relative to those with a high-school degree, patients with higher levels of education were more likely to live further away from our institution (p < 0.0001). Patients who received adjuvant radiation therapy elsewhere lived, on average, 104 miles further away than patients receiving radiation at our institution (Estimate 104.3, 95 % CI 14.2-194.4, p-value = 0.02). In univariable Cox PH models, oncologic outcomes did not significantly differ by zipdistance.

CONCLUSIONS

Education level-and access to resources-varied proportionally to a patient's distance from our center. Patients travelling further distances for surgical management of OPSCC were more likely to pursue adjuvant radiation therapy at an outside institution. Distance traveled was not associated with oncologic outcomes. Breaking down barriers to currently excluded populations may improve access to clinical trials and improve oncologic outcomes for diverse patient populations.

Distance Traveled and Disparities in Patients Undergoing Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy

BACKGROUND

The impact of distance traveled on cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) outcomes needs further investigation.

METHODS

This retrospective study reviewed a prospectively managed single-center CRS/HIPEC 1992-2022 database. Zip codes were used to calculate distance traveled and to obtain data on income and education via census data. Patients were separated into three groups based on distance traveled in miles (local: ≤50 miles, regional: 51-99 miles, distant: ≥100 miles). Descriptive statistics, Kaplan-Meier method, and Cox regression were performed.

RESULTS

The 1614 patients in the study traveled a median distance of 109.5 miles (interquartile range [IQR], 53.36-202.29 miles), with 23% traveling locally, 23.9% traveling regionally, and 53% traveling distantly. Those traveling distantly or regionally tended to be more white (distant: 87.8%, regional: 87.2%, local: 83.2%), affluent (distant: $61,944, regional: $65,014, local: $54,390), educated (% without high school diploma: distant: 10.6%, regional: 11.5%, local: 13.0%), less often uninsured (distant: 2.3%, regional: 4.6%, local: 5.2%) or with Medicaid (distant: 3.3%, regional: 1.3%, local: 9.7%). They more often had higher Peritoneal Carcinomatosis Index (PCI) scores (distant: 15.4, regional: 15.8, local: 12.7) and R2 resections (distant: 50.3%, regional: 52.2%, local: 40.5%). Median survival did not differ between the groups, and distance traveled was not a predictor of survival.

CONCLUSION

More than 50% of the patients traveled farther than 100 miles for treatment. Although regionalization of CRS/HIPEC may be appropriate given the lack of survival difference based on distance traveled, those who traveled further had fewer health care disparities but higher PCI scores and more R2 resections, which raises concerns about access to care for the underserved, time to treatment, and surgical quality.

Effect of distance of treatment center on survival for HPV-negative head and neck cancer patients

BACKGROUND

In rural states, travel burden for complex cancer care required for head and neck squamous cell carcinoma (HNSCC) may affect patient survival, but its impact is unknown.

METHODS

Patients with HPV-negative HNSCC were retrospectively identified from a statewide, population-based study. Euclidian distance from the home address to the treatment center was calculated for radiation therapy, surgery, and chemotherapy. Multivariable Cox proportional hazards models were used to examine the risk of 5-year mortality with increasing travel quartiles.

RESULTS

There were 936 patients with HPV-negative HNSCC with a mean age of 60. Patients traveled a median distance of 10.2, 11.1, and 10.9 miles to receive radiation therapy, surgery, and chemotherapy, respectively. Patients in the fourth distance quartile were more likely to live in a rural location (p < 0.001) and receive treatment at an academic hospital (p < 0.001). Adjusted overall survival (OS) improved proportionally to distance traveled, with improved OS remaining significant for patients who traveled the furthest for care (third and fourth quartile by distance). Relative to patients in the first quartile, patients in the fourth had a reduced risk of mortality with radiation (HR 0.59, 95% CI 0.42-0.83; p = 0.002), surgery (HR 0.47, 95% CI 0.30-0.75; p = 0.001), and chemotherapy (HR 0.56, 95% CI 0.35-0.91; p = 0.020).

CONCLUSION

For patients in this population-based cohort, those traveling greater distances for treatment of HPV-negative HNSCC had improved OS. This analysis suggests that the benefits of coordinated, multidisciplinary care may outweigh the barriers of travel burden for these patients.

Impact of rural residence on the presentation, management and survival of patients with non-metastatic muscle-invasive bladder carcinoma

PURPOSE

To assess the impact of rural and remote residence on the receipt of guidelines-recommended treatment, quality of treatment and overall survival (OS) in patients with non-metastatic muscle-invasive bladder cancer (MIBC).

MATERIALS AND METHODS

Patients with MIBC were identified using National Cancer Database. Patients were classified into three residential areas. Logistic regression models were used to assess associations between geographic residence and receipt of radical cystectomy (RC) or chemoradiation therapy (CRT). Models were fitted to assess quality benchmarks of RC and CRT.

RESULTS

We identified 71,395 patients. Of those 58,874 (82.5%) were living in Metro areas, 8,534 (11.9%) in urban-rural adjacent (URA), and 3,987 (5.6%) in urban-rural remote to metro area (URR). URR residence was significantly associated with poor OS compared to URA and Metro residence (HR 0.87, 95% CI 0.81-0.94 and HR 0.90, 95% CI 0.87-0.93, p<0.001). There was no difference in the likelihood of receiving RC and CRT among different residential areas. Among patients who underwent RC; individuals living in URR were less likely to receive neoadjuvant chemotherapy and adequate lymph node dissection, and had a higher probability of positive surgical margin than those living in metro areas. For those who received CRT; individuals living in Metro areas were more likely to receive concomitant systemic therapy compared to URR.

CONCLUSIONS

Rural residence is associated with lower OS for MIBC patients and less likelihood of meeting quality benchmarks for RC and CRT. This data should be used to guide further health policy and allocation of resources for rural population.

Review of sociodemographic risk factors for presentation with advanced non-melanoma skin cancer

PURPOSE

Non-melanoma skin cancers (NMSC) are often localized and associated with an excellent prognosis but a minority present with locally advanced or metastatic disease requiring extensive resection or systemic treatment. Medical factors that increase the risk of advanced skin cancers such as tobacco use, systemic immunosuppression or genetic syndromes have been described but the sociodemographic risk factors are relatively uninvestigated and under reported. In this review a cohort of patients presenting with periorbital NMSC is reviewed for social determinants of health correlated with presentation with advanced disease.

METHODS

Patients presenting with periorbital NMSC during a 10-year period are categorized as advanced (those tumors requiring extensive local resection, sacrifice of the globe or systemic therapy) or non-advanced and demographic features are compared between the two groups.

RESULTS

274 cases of periorbital NMSC were classified as either non-advanced (177) or advanced (97). Patients with public safety net health insurance were twice as likely to present with advanced disease (25% vs 13%). Patients with advanced disease were significantly less likely to be under the care of a primary care physician, lived in economically depressed areas with lower mean household incomes, and lived further from tertiary medical care.

CONCLUSION

Financial and sociodemographic features are strongly associated with presentation with advanced NMSC. Further work is needed to determine which sociodemographic features are independent risk factors. A better understanding of the relevant barriers to care may reduce the burden of advanced disease at presentation in the future.

Proximity to Radiotherapy Center, Population, Average Income, and Health Insurance Status as Predictors of Cancer Mortality at the County Level in the United States

PURPOSE

Sufficient radiotherapy (RT) capacity is essential to delivery of high-quality cancer care. However, despite sufficient capacity, universal access is not always possible in high-income countries because of factors beyond the commonly used parameter of machines per million people. This study assesses the barriers to RT in a high-income country and how these affect cancer mortality.

METHODS

This cross-sectional study used US county-level data obtained from Center for Disease Control and Prevention and the International Atomic Energy Agency Directory of Radiotherapy Centres. RT facilities in the United States were mapped using Geographic Information Systems software. Univariate analysis was used to identify whether distance to a RT center or various socioeconomic factors were predictive of all-cancer mortality-to-incidence ratio (MIR). Significant variables (P ≤ .05) on univariate analysis were included in a step-wise backward elimination method of multiple regression analysis.

RESULTS

Thirty-one percent of US counties have at least one RT facility and 8.3% have five or more. The median linear distance from a county's centroid to the nearest RT center was 36 km, and the median county all-cancer MIR was 0.37. The amount of RT centers, linear accelerators, and brachytherapy units per 1 million people were associated with all-cancer MIR (P < .05). Greater distance to RT facilities, lower county population, lower average income per county, and higher proportion of patients without health insurance were associated with increased all-cancer MIR (R-squared, 0.2113; F, 94.22; P < .001).

CONCLUSION

This analysis used unique high-quality data sets to identify significant barriers to RT access that correspond to higher cancer mortality at the county level. Geographic access, personal income, and insurance status all contribute to these concerning disparities. Efforts to address these barriers are needed.

Disparities in prostate cancer

Despite substantial advances in early detection/prevention and treatments, and improved outcomes in recent decades, prostate cancer continues to disproportionately affect Black men and is the secondleading cause of cancer death in this subgroup. Black men are substantially more likely to develop prostate cancer and are twice as likely to die from the disease compared with White men. In addition, Black men are younger at diagnosis and face a higher risk of aggressive disease relative to White men. Striking racial disparities endure along the continuum of prostate cancer care, including screening, genomic testing, diagnostic procedures, and treatment modalities. The underlying causes of these inequalities are complex and multifactorial and involve biological factors, structural determinants of equity (i.e., public policy, structural and systemic racism, economic policy), social determinants of health (including income, education, and insurance status, neighborhood/physical environment, community/social context, and geography), and health care factors. The objective of this article is to review the sources of racial disparities in prostate cancer and to propose actionable recommendations to help address these inequities and narrow the racial gap.

Impact of Cancer Care Regionalization on Patient Volume

BACKGROUND

Cancer centers are regionalizing care to expand patient access, but the effects on patient volume are unknown. This study aimed to compare patient volumes before and after the establishment of head and neck regional care centers (HNRCCs).

METHODS

This study analyzed 35,394 unique new patient visits at MD Anderson Cancer Center (MDACC) before and after the creation of HNRCCs. Univariate regression estimated the rate of increase in new patient appointments. Geospatial analysis evaluated patient origin and distribution.

RESULTS

The mean new patients per year in 2006-2011 versus 2012-2017 was 2735 ± 156 patients versus 3155 ± 207 patients, including 464 ± 78 patients at HNRCCs, reflecting a 38.4 % increase in overall patient volumes. The rate of increase in new patient appointments did not differ significantly before and after HNRCCs (121.9 vs 95.8 patients/year; P = 0.519). The patients from counties near HNRCCs, showed a 210.8 % increase in appointments overall, 33.8 % of which were at an HNRCC. At the main campus exclusively, the shift in regional patients to HNRCCs coincided with a lower rate of increase in patients from the MDACC service area (33.7 vs. 11.0 patients/year; P = 0.035), but the trend was toward a greater increase in out-of-state patients (25.7 vs. 40.3 patients/year; P = 0.299).

CONCLUSIONS

The creation of HNRCCs coincided with stable increases in new patient volume, and a sizeable minority of patients sought care at regional centers. Regional patients shifted to the HNRCCs, and out-of-state patient volume increased at the main campus, optimizing access for both local and out-of-state patients.

High surgical volume is associated with improved survival in head and neck cancer

OBJECTIVES

Examine the relationship between hospital volume and overall mortality in a surgical cohort of head and neck squamous cell carcinoma (HNSCC) patients.

MATERIALS & METHODS

A retrospective review of the NCDB was completed for adults with previously untreated HNSCC diagnosed between 2004 and 2016. Mean annual hospital volume was calculated using the number of head and neck cancer cases treated at a given facility divided by the number of years the facility reported to the NCDB. Facilities were separated into three categories based on their volume percentile, informed by inflection points from a natural cubic spline: Hospital Group 1 (<50%); Hospital Group 2 (50-90%); Hospital Group 3 (90%+). Cox proportional hazard models were used to examine the association between volume percentiles (continuous or categorical) with patient overall survival, adjusting for important patient and facility variables known to impact survival.

RESULTS

Risk of death decreased by 2.97% for every 10% increase in facility percentile after adjusting for other risk factors. Patients treated at facilities in Hospital Group 1 had a 23.1% increase in risk of mortality (HR 1.231 [95% CI 1.12-1.35]) relative those at facilities in Hospital Group 3. No significant difference in mortality risk was found between Hospital Group 2 versus Hospital Group 3 (HR 1.031 [95% CI 0.97-1.10]).

CONCLUSIONS

Survival of HNSCC patients is significantly improved when treated at facilities >50th percentile in annual hospital volume. This may support the regionalization of care to high volume head and neck centers with comprehensive facilities and supportive services to maximize patient outcomes.

Access to urologic cancer care for Medicaid-insured patients

BACKGROUND

The expansion of state Medicaid programs associated with the Affordable Care Act has led to significant increases in insurance coverage for economically vulnerable patients, however barriers to accessing cancer care still exist. To develop strategies to improve healthcare access, we characterized access to new urologic cancer care for patients with Medicaid insurance in the United States.

METHODS

Using a secret shopper approach, we contacted a representative sample of facilities designated for cancer care in United States. Trained volunteers posed as a family member seeking urologic cancer care using a simulated scenario of a parent with a new diagnosis of a localized kidney tumor. The primary study outcome was acceptance of Medicaid. In addition, we assessed facility characteristics associated with Medicaid acceptance relating to state Medicaid expansion status, Medicare reimbursement rates, and teaching hospital status using data from the Medicare & Medicaid Services Hospital General Information data file, the American Hospital Directory, and the American Medical Association of Colleges Organizational Characteristics Database.

RESULTS

We sampled a total of 389 facilities, of which 14.4% did not accept new Medicaid patients. Medicaid acceptance was higher in facilities located in states that elected to expand Medicaid through the ACA vs. non-expansion states (90.1% vs. 77.4% respectively, P < 0.001). Facilities accepting patients with Medicaid were located in states with higher mean Medicaid-to-Medicare fee indexes (0.70 for Medicaid-accepting vs. 0.65 for non-accepting facilities, P < 0.001). In addition, Medicaid acceptance was higher in teaching hospitals vs. non-teaching facilities (93.8% vs. 83.4% P = 0.02), and medical school affiliated facilities (89.2% vs. 79.7% P = 0.01).

CONCLUSION

We identified access disparities for patients with Medicaid insurance seeking urologic cancer care at centers. These findings highlight opportunities to improve the quality and timeliness of cancer care.

Impact of travel distance on outcomes for clinical trial patients: the Kinghorn Cancer Centre experience

BACKGROUND

Geographic isolation and travel distance to specialist care is a known social determinant of health and contributes to poorer oncology survival outcomes.

AIMS

To compare survival and toxicity outcomes for patients travelling long distances (>50 km) for treatment on clinical trials with local patients (<10 km and 10-50 km).

METHODS

We performed a retrospective cohort study based at the Kinghorn Cancer Centre, a comprehensive cancer care centre in metropolitan Sydney. We included adult patients with advanced solid-organ malignancies who were enrolled on therapeutic clinical trials between July 2015 and December 2017. Outcome measures included overall survival, progression-free survival, rates of grade 3-4 toxicity and unplanned hospital admissions for the duration of the clinical trial.

RESULTS

We included 173 patients, of whom 27% lived within 10 km, 29% lived between 10 and 50 km and 44% lived further than 50 km. We did not identify significant differences between survival or toxicity outcomes between patients travelling long distances and local patients.

CONCLUSIONS

All patients should be considered for clinical trial referral based on clinical parameters and preference, regardless of geographic proximity. In the meantime, improving access to clinical trials for rural and regional patients continues to be a priority.

Odds of Stage IV Bone Cancer Diagnosis Based on Socioeconomic and Geographical Factors: A National Cancer Database (NCDB) Review

BACKGROUND

There are significant differences in prognosis for osteosarcoma, Ewing sarcoma, chondrosarcoma, and chordomas based on the stage at diagnosis. The five-year survival of these bone cancers varies from 75-87% at an early stage of diagnosis and falls to 27-55% at a late stage of diagnosis.

PATIENTS AND METHODS

This study retrospectively evaluated the odds of stage I vs stage IV cancer at the time of diagnosis in patients with primary malignant bone tumors (osteosarcoma, chondrosarcoma, Ewing sarcoma and chordoma) diagnosed in the National Cancer Database (NCDB) between 2004 and 2018. Cross tabulations with Chi-square analysis were performed to evaluate frequencies of different socioeconomic and geographical characteristics between patients with stage I vs stage IV cancer. Multivariable binary logistic regression was performed to evaluate relationships between socioeconomic and geographical factors and the odds of stage IV cancer at the time of diagnosis. Statistical significance was set at α = 0.05.

RESULTS

8882 patients with stage I and 3063 with stage IV primary malignant bone tumors were identified. The odds of stage IV bone cancer at diagnosis are increased for patients on Medicaid (odds ratio [OR] = 1.298, 95% confidence interval [CI]: 1.043-1.616) or Medicare (OR = 1.795, 1.411-2.284). Odds of stage IV bone cancer at diagnosis were decreased with female sex (OR = 0.733, 0.671-0.800), private insurance (OR = 0.738, 0.601-0.905), and those treated at community cancer programs (OR = 0.542, 0.369-0.797), comprehensive cancer program (OR = 0.312, 0.215-0.452), or academic/research facilities (OR = 0.370, 0.249-0.550). No significant relationship was identified between the stage at diagnosis and race, ethnicity, Charlson-Deyo score, or education level. Stage IV cancer at diagnosis showed was proportionally lower in chondrosarcomas (17.1%) and chordomas (2.1%) than osteosarcomas (45.0%) and Ewing sarcomas (35.8%).

CONCLUSION

Odds of stage IV bone cancer at diagnosis are greater with male sex, Medicaid or Medicare insurance status, or treatment at community cancer programs. Providers should have a low suspicion for additional evaluation when treating patients with symptoms of bone cancer and should be aware of these disparities when treating people in these groups. This is to the authors' knowledge the first such study conducted through the NCDB.

Disparities in treatment and survival for patients with isolated colorectal liver metastases

BACKGROUND

Surgical resection improves survival for patients with isolated colorectal liver metastasis. National studies on the disparities related to this topic are limited; therefore, we investigated factors that affect surgical treatment and survival.

METHODS

We queried the National Cancer Database (2010-2017) for patients with isolated synchronous colorectal liver metastasis. Multivariable logistic regression and Cox proportional hazard regressions were used to identify factors associated with surgical resection, treatment at high-volume facilities, and overall survival.

RESULTS

Of 34,050 patients with isolated colorectal liver metastasis, surgical resection (n = 7,810; 23.0%) was more likely among patients who were of high socioeconomic status (odds ratio = 1.16; 95% confidence interval, 1.04-1.31), traveled long distance for treatment (odds ratio = 1.48; 95% confidence interval, 1.31-1.66), and were treated at high-volume facilities (odds ratio = 4.86; 95% confidence interval, 14.45-5.30). Black patients were less likely to undergo resection (odds ratio = 0.75; 95% confidence interval, 0.69-0.82). Treatment at high-volume facility was more common among patients who were Black (odds ratio = 1.14; 95% confidence interval, 1.07-1.21), were of high socioeconomic status (socioeconomic status index 7: odds ratio = 1.21; 95% confidence interval, 1.11-1.31), and traveled long distance (odds ratio = 4.03; 95% confidence interval, 3.63-4.48) and less likely for nonmetropolitan residents and those of low socioeconomic status (P < .05). Patients of high socioeconomic status and those who traveled long distance, were treated at high-volume facilities, underwent surgical resection, and received perioperative chemotherapy had an associated survival advantage (P < .05 for all), whereas Black race was associated with poorer overall survival (P < .05).

CONCLUSION

Nonmedical patient factors, such as race, socioeconomic status, and geography, are associated with treatment and survival for isolated colorectal liver metastases. Disparities persist after adjusting for surgical resection and treatment facility. These barriers must be addressed to improve care for vulnerable cancer patients.

Racial disparities in Black men with prostate cancer: A literature review

Black men are disproportionately affected by prostate cancer (PCa), with earlier presentation, more aggressive disease, and higher mortality rates versus White men. Furthermore, Black men have less access to PCa treatment and experience longer delays between diagnosis and treatment. In this review, the authors discuss the factors contributing to racial disparities and present solutions to improve access to care and increase clinical trial participation among Black men with PCa. Racial disparities observed among Black men with PCa are multifaceted, evolving from institutional racism. Cultural factors include generalized mistrust of the health care system, poor physician-patient communication, lack of information on PCa and treatment options, fear of PCa diagnosis, and perceived societal stigma of the disease. In the United States, geographic trends in racial disparities have been observed. Economic factors, e.g., cost of care, recovery time, and cancer debt, play an important role in racial disparities observed in PCa treatment and outcomes. Racial diversity is often lacking in genomic and precision medicine studies. Black men are largely underrepresented in key phase 3 PCa trials and may be less willing to enroll in clinical trials due to lack of awareness, lack of diversity in clinical trial research teams, and bias of health care providers to recommend clinical research. The authors propose solutions to address these factors that include educating clinicians and institutions on the barriers Black men experience, increasing the diversity of health care providers and clinical research teams, and empowering Black men to be involved in their treatment, which are keys to creating equity for Black men with PCa. LAY SUMMARY: Prostate cancer negatively affects Black men more than men of other races. The history of segregation and mistreatment in the health care system may contribute to mistrust among Black men. Outcomes are worse for Black men because they are less likely to be screened or to receive treatment for prostate cancer. Black men also are unlikely to participate in clinical research, making it difficult for investigators to understand how Black men are affected by prostate cancer. Suggestions for addressing these differences include teaching physicians and nurses about the issues Black men experience getting treatment and improving how Black men get information on prostate cancer.

The impact of patient travel time on disparities in treatment for early stage lung cancer in California

BACKGROUND

Travel time to treatment facilities may impede the receipt of guideline-concordant treatment (GCT) among patients diagnosed with early-stage non-small cell lung cancer (ES-NSCLC). We investigated the relative contribution of travel time in the receipt of GCT among ES-NSCLC patients.

METHODS

We included 22,821 ES-NSCLC patients diagnosed in California from 2006-2015. GCT was defined using the 2016 National Comprehensive Cancer Network guidelines, and delayed treatment was defined as treatment initiation >6 versus ≤6 weeks after diagnosis. Mean-centered driving and public transit times were calculated from patients' residential block group centroid to the treatment facilities. We used logistic regression to estimate risk ratios and 95% confidence intervals (CIs) for the associations between patients' travel time and receipt of GCT and timely treatment, overall and by race/ethnicity and neighborhood socioeconomic status (nSES).

RESULTS

Overall, a 15-minute increase in travel time was associated with a decreased risk of undertreatment and delayed treatment. Compared to Whites, among Blacks, a 15-minute increase in driving time was associated with a 24% (95%CI = 8%-42%) increased risk of undertreatment, and among Filipinos, a 15-minute increase in public transit time was associated with a 27% (95%CI = 13%-42%) increased risk of delayed treatment. Compared to the highest nSES, among the lowest nSES, 15-minute increases in driving and public transit times were associated with 33% (95%CI = 16%-52%) and 27% (95%CI = 16%-39%) increases in the risk of undertreatment and delayed treatment, respectively.

CONCLUSION

The benefit of GCT observed with increased travel times may be a 'Travel Time Paradox,' and may vary across racial/ethnic and socioeconomic groups.

Racial Distribution of Neighborhood-Level Social Deprivation in a Retrospective Cohort of Prostate Cancer Survivors

Background: A better understanding of neighborhood-level factors’ contribution is needed in order to increase the precision of cancer control interventions that target geographic determinants of cancer health disparities. This study characterized the distribution of neighborhood deprivation in a racially diverse cohort of prostate cancer survivors. Methods: A retrospective cohort of 253 prostate cancer patients who were treated with radical prostatectomy from 2011 to 2019 was established at the Medical University of South Carolina. Individual-level data on clinical variables (e.g., stage, grade) and race were abstracted. Social Deprivation Index (SDI) and Healthcare Professional Shortage (HPS) status was obtained from the Robert Graham Center and assigned to participants based on their residential census tract. Data were analyzed with descriptive statistics and multivariable logistic regression. Results: The cohort of 253 men consisted of 168 white, 81 African American, 1 Hispanic and 3 multiracial men. Approximately 49% of 249 men lived in areas with high SDI (e.g., SDI score of 48 to 98). The mean for SDI was 44.5 (+27.4), and the range was 97 (1−98) for all study participants. African American men had a significantly greater likelihood of living in a socially deprived neighborhood compared to white men (OR = 3.7, 95% C.I. 2.1−6.7, p < 0.01), while men who lived in areas with higher HPS shortage status were significantly more likely to live in a neighborhood that had high SDI compared to men who lived in areas with lower HPS shortages (OR = 4.7, 95% C.I. = 2.1−10.7, p < 0.01). African Americans had a higher likelihood of developing biochemical reoccurrence (OR = 3.7, 95% C.I. = 1.7−8.0) compared with white men. There were no significant association between SDI and clinical characteristics of prostate cancer. Conclusions: This study demonstrates that SDI varies considerably by race among men with prostate cancer treated with radical prostatectomy. Using SDI to understand the social environment could be -particularly useful as part of precision medicine and precision public health approaches and could be used by cancer centers, public health providers, and other health care specialists to inform operational decisions about how to target health promotion and disease prevention efforts in catchment areas and patient populations.

Equity of travel required to access first definitive surgery for liver or stomach cancer in New Zealand

In New Zealand, there are known disparities between the Indigenous Māori and the majority non-Indigenous European populations in access to cancer treatment, with resulting disparities in cancer survival. There is international evidence of ethnic disparities in the distance travelled to access cancer treatment; and as such, the aim of this paper was to examine the distance and time travelled to access surgical care between Māori and European liver and stomach cancer patients. We used national-level data and Geographic Information Systems (GIS) analysis to describe the distance travelled by patients to receive their first primary surgery for liver or stomach cancer, as well as the estimated time to travel this distance by road, and the surgical volume of hospitals performing these procedures. All cases of liver (ICD-10-AM 3rd edition code: C22) and stomach (C16) cancer that occurred in New Zealand (2007–2019) were drawn from the New Zealand Cancer Registry (liver cancer: 866 Māori, 2,460 European; stomach cancer: 953 Māori, 3,192 European), and linked to national inpatient hospitalisation records to examine access to surgery. We found that Māori on average travel 120km for liver cancer surgery, compared to around 60km for Europeans, while a substantial minority of both Māori and European liver cancer patients must travel more than 200km for their first primary liver surgery, and this situation appears worse for Māori (36% vs 29%; adj. OR 1.48, 95% CI 1.09–2.01). No such disparities were observed for stomach cancer. This contrast between cancers is likely driven by the centralisation of liver cancer surgery relative to stomach cancer. In order to support Māori to access liver cancer care, we recommend that additional support is provided to Māori patients (including prospective financial support), and that efforts are made to remotely provide those clinical services that can be decentralised.

Rural-Urban Disparities in Cancer Outcomes: Opportunities for Future Research

Cancer care disparities among rural populations are increasingly documented and may be worsening, likely because of the impact of rurality on access to state-of-the-art cancer prevention, diagnosis, and treatment services, as well as higher rates of risk factors such as smoking and obesity. In 2018, the American Society of Clinical Oncology undertook an initiative to understand and address factors contributing to rural cancer care disparities. A key pillar of this initiative was to identify knowledge gaps and promote the research needed to understand the magnitude of difference in outcomes in rural vs nonrural settings, the drivers of those differences, and interventions to address them. The purpose of this review is to describe continued knowledge gaps and areas of priority research to address them. We conducted a comprehensive literature review by searching the PubMed (Medline), Embase, Web of Science, and Cochrane Library databases for studies published in English between 1971 and 2021 and restricted to primary reports from populations in the United States and abstracted data to synthesize current evidence and identify continued gaps in knowledge. Our review identified continuing gaps in the literature regarding the underlying causes of rural-urban disparities in cancer outcomes. Rapid advances in cancer care will worsen existing disparities in outcomes for rural patients without directed effort to understand and address barriers to high-quality care in these areas. Research should be prioritized to address ongoing knowledge gaps about the drivers of rurality-based disparities and preventative and corrective interventions.

Access to Urological Care for Medicaid-Insured Patients at Urology Practices Acquired by Private Equity Firms

OBJECTIVE

To characterize appointment access for Medicaid-insured patients seeking care at urology practices affiliated with private equity firms in light of the recent national trends in practice consolidation.

METHODS

We identified 214 urology offices affiliated with private equity firms that were geographically matched with 231 non-private equity affiliated urology offices. Using a standardized script, researchers posed as an adult patient with either Medicaid or commercial insurance in the clinical setting of new onset, painless hematuria. The primary outcome was whether the patient's insurance was accepted for an appointment. The secondary outcome was appointment wait time.

RESULTS

We conducted 815 appointment inquiry calls to 214 PE and 231 non-PE-affiliated urology offices across 12 states. Appointment availability was higher for commercially-insured patients (99.0%; 95% CI: 98.1%-99.9%) versus Medicaid-insured patients (59.8%; 95% CI: 55.0%-64.6%) (p<0.0001). Medicaid acceptance was higher at non-PE affiliated (66.8%; CI 60.4%-73.2%) than PE-affiliated practices (52.1%; 95% CI 45.0%-59.2%) (p=0.003). On multivariable logistic regression analysis, state Medicaid expansion status (OR 2.20; CI 1.14-4.28; p=0.020) was independently associated with Medicaid appointment availability, whereas PE-affiliation (OR 0.55; CI 0.37-0.83; p=0.004) was independently associated with lower Medicaid access. Appointment wait times did not differ significantly for commercially-insured versus Medicaid patients (19.2 vs 20.1 days; p=0.59), but PE-affiliated practices offered shorter mean wait times than non-PE offices (17.5 vs 21.4 days; p=0.017).

CONCLUSIONS

Access disparities for urologic evaluation in patients with Medicaid insurance at urology practices and were more pronounced at private equity acquired practices.

Louisiana Medicaid Expansion Associated With Reduced Travel For Care Among Minority Groups And Rural Residents

Distance traveled to a provider has been associated with access to and timely use of health care services. Medicaid expansion has been previously linked to an increase in the number of providers accepting Medicaid patients. We hypothesized that by increasing the density of providers accepting Medicaid in any area, Louisiana's Medicaid expansion in July 2016 may have increased access to health care services for Medicaid patients already eligible for Medicaid in Louisiana by decreasing distances traveled to reach health care providers. We tested our hypothesis using a regression discontinuity model on all continuously enrolled Louisiana Medicaid beneficiaries' transactions from the period 2015-17 across eight different service lines. Distance traveled to appointments declined across all service lines, with declines ranging from -3.46 miles for general practices to -0.70 miles for specialty care. The most robust declines in distance traveled were among Black enrollees living in nonmetropolitan areas, with the largest being a decline of 9.25 fewer miles traveled for general practice care. Medicaid expansion has the potential to address racial and geographic disparities in health care access through decreased travel distances.

Geographic Access to Radiation Therapy Facilities in the United States

BACKGROUND

The current distribution of radiation therapy (RT) facilities in the US is not well established. A comprehensive inventory of US RT facilities was last assessed in 2005, based on data from state regulatory agencies and dosimetric quality assurance bodies. We updated this database to characterize population-level measures of geographic access to RT and analyze changes over the past 15 years.

METHODS

We compiled data from regulatory and accrediting organizations to identify US facilities with linear accelerators used to treat humans in 2018-2020. Addresses were geocoded and analyzed with Geographic Information Services (GIS) software. Geographic access was characterized by assessing the Euclidian distance between zip code tabulation areas (ZCTA)/county centroids and RT facilities. Populations were assigned to each county to estimate the impact of facility changes at the population level. Logistic regressions were performed to identify features associated with increased distance to RT and associated with regions that gained an RT facility between the two time points studied.

RESULTS

In 2020, a total of 2,313 US RT facilities were reported compared to 1,987 in 2005, representing a 16.4% growth in facilities over nearly 15 years. Based on population attribution to ZCTA centroids, 77.9% of the US population lives within 12.5 miles of an RT facility, and 1.8% of the US population lives more than 50 miles from an RT facility. We found that increased distance to RT was associated with non-metro status, less insurance, older median age, and less populated regions. Between 2005 and 2020, the population living within 12.5 miles from an RT facility increased by 2.1 percentage points, while the population living furthest from RT facilities decreased 0.6 percentage points. Regions with improved geographic RT access are more likely to be higher income and better insured.

CONCLUSION

1.8% of the US population has limited geographic access to radiation therapy. We found that people benefiting from improved access to RT facilities are more economically advantaged, suggesting disparities in geographic access may not improve without intervention.

The impact of social determinants of health on management of stage I non-small cell lung cancer

BACKGROUND

Social Determinants of Health (SDOH) can be important contributors in health care outcomes. We hypothesized that certain SDOH independently impact the management and outcomes of stage I Non-Small Cell Lung Cancer (NSCLC).

STUDY DESIGN

Patients with clinical stage I NSCLC were identified from the National Cancer Database. The impact of SDOH factors on utilization of surgery, perioperative outcomes and overall survival were examined, both in bivariate and multivariable analyses.

RESULTS

A total of 236,140 patients were identified. In multivariate analysis, SDOH marginalization were associated with less frequent use of surgery, lower 5-year survival and, in surgical patients, more frequent use of open surgery and lower 90-day postoperative survival.

CONCLUSION

SDOH disparities have a significant impact in the management and outcomes of stage I NSCLC. We identified SDOH patient groups particularly impacted by such disparities, in which higher utilization of surgery and minimally invasive approaches may lead to improved outcomes.

Centralisation of Care for Prevalent Urological Malignancies: The Case for Prostate Cancer

Prostate cancer presents a significant challenge and burden for health care centres across the world. In the UK and other parts of Europe, as well as areas of the USA, centralisation of services has been implemented. In the UK and Europe, hospital centres are split into a hub-and-spoke system. High-volume centres carry out treatment as hubs and local hospitals carry out diagnostics and referrals as spokes. In this narrative mini-review we evaluate whether centralisation of services has improved patient outcomes, streamlined the use of resources, and reduced costs. We also discuss the positive and negative impacts of centralisation of prostate cancer services. PATIENT SUMMARY: This mini-review discusses the current use of centralisation of prostate cancer services. We assess the evidence in favour of centralisation as well as the issues it can present to both health care systems and patients.

Distance traveled to glioblastoma treatment: A measure of the impact of socioeconomic status on survival

BACKGROUND

Previous studies have shown improved post-surgical outcomes in patients who travel farther for glioblastoma treatment. This study investigates socioeconomic and facility factors that may influence this relationship.

METHODS

Overall survival was calculated and compared by distance to treatment facility using univariate and multivariate survival models. The analysis was stratified by facility type, income quartile and insurance status and the association re-evaluated. Kaplan-Meier survival curves were created to analyze the relationship between overall survival and distance group.

RESULTS

Individuals who traveled less than 5 miles to treatment had the shortest overall survival (11.8 months), while those who traveled greater than 50 miles had the longest survival (12.9 months). Stratification by income quartile failed to demonstrate an association between distance traveled and survival for those making less than $63,000 (adjusted hazard ratio range: 0.94-1.01). There was no association between survival and distance traveled for patients treated at a community cancer center, comprehensive community cancer center or an integrated network cancer program (adjusted hazard ratio range: 0.86-1.04).

CONCLUSION

Financial strain, rather than distance traveled to treatment, may be associated with glioblastoma survival.

Acute lymphoblastic leukemia (ALL) in adults: disparities in treatment intervention based on access to treatment facility

Adult acute lymphoblastic leukemia (ALL) is associated with poor outcomes. We evaluated differences by facility type in the parameters of 6766 adult ALL patients ≥ 40 years of age diagnosed from 2004 to 2015 in the National Cancer DataBase (NCDB) and survival outcomes using two-sample t-tests or chi-square tests and Cox proportional hazards models. Those treated in academic facilities were younger (mean 58.5 versus 61.7 years, p < 0.001), Black (8.1% versus 5.6%, p < 0.001), had private insurance (50.9% versus 44.0%, p < 0.001), and more likely to receive chemotherapy (93.2% versus 81.4%, p < 0.001), any radiotherapy (14.9% versus 7.3%, p < 0.001), stem cell transplant (9.4% versus 2.5%, p < 0.001), or total body irradiation (TBI) (11.3% versus 4.3%, p < 0.001). Patients treated at an academic facility had a higher hazard of death (p<.05) while those that received any chemotherapy or TBI or CNS radiation had a lower risk of death (all p < 0.05). These parameters should be evaluated in future studies.

Access to Chimeric Antigen Receptor T Cell Therapy for Diffuse Large B Cell Lymphoma

INTRODUCTION

Geographic access to novel oncology therapies, and the extent to which it may vary by potential sites of care, regions, and population characteristics, is poorly understood. We examined how expanding access to chimeric antigen receptor (CAR) T cell therapy administration sites impacts patient travel distances and time.

METHODS

We used geographic information system techniques to calculate shortest travel distance and time between patients with relapsed/refractory diffuse large B cell lymphoma (DLBCL) and the nearest CAR T cell therapy administration site in three scenarios: academic hospitals; academic and community multispecialty hospitals; and academic and community multispecialty hospitals plus nonacademic specialty oncology network centers. Main outcome measures were differences in travel distance and time among the scenarios and the relationship between travel time and socioeconomic status, race, rural-urban areas, and non-Hodgkin lymphoma clusters. Non-Hodgkin lymphoma incidence, socioeconomic status, and administration centers were derived from governmental/publicly available data sources.

RESULTS

Of 3922 patients eligible for CAR T cell therapy, more than 37% had to travel more than 1 h to the nearest academic hospital. Average travel time and distance were significantly reduced by 23% and 30% (P < 0.001), respectively, when access was expanded to include community hospitals plus a broader range of oncology specialty treatment centers. Compared to academic hospitals alone, increasing access to include community hospitals decreased time and distance by 7% and 8% (P < 0.01), respectively. In addition, there would be a lower proportion of sites operating as the only care provider within 25 miles if access was expanded outside of academic hospitals only. Longer travel time was associated with lower socioeconomic status.

CONCLUSION

Many patients with DLBCL have long travel times to an academic hospital that administers CAR T cell therapy. Expanding access to care through site-of-care planning will help address regional, rural-urban, and sociodemographic equity in the geographic allocation of CAR T cell therapy.

Associations between geographic residence and US adolescent and young adult cancer stage and survival

BACKGROUND

Multiple studies have indicated that place of residence can influence cancer survival; however, few studies have specifically focused on geographic factors and outcomes in adolescents and young adults (AYAs) with cancer. The objective of this study was to evaluate evidence for geographic disparities in cancer diagnosis stage and overall survival in AYAs and to examine whether stage mediated survival associations.

METHODS

National Cancer Database data on AYAs aged 15 to 39 years who were diagnosed with cancer from 2010 to 2014 were obtained. Residence in Metropolitan (metro), urban, or rural counties at the time of diagnosis was defined using Rural-Urban Continuum Codes. Distance between the patient's residence and the reporting hospital was classified as short (≤2.5 miles), intermediate (>12.5 to <50 miles), or long (≥50 miles). Logistic and Cox proportional hazards regression models were used for analyses.

RESULTS

The stage and survival analyses included 146,418 and 178,688 AYAs, respectively. The odds of a late versus early stage at diagnosis (stages III and IV vs I and II) were 1.16 (95% CI, 1.05-1.29) times greater for AYAs living in rural versus metro counties and 1.20 (95% CI, 1.16-1.25) times greater for AYAs living at long versus short distances to the reporting hospital. The hazard of death was 1.17 (95% CI, 1.05-1.31) and 1.30 (95% CI, 1.25-1.36) times greater for those living in rural versus metro counties, respectively, and for long versus short distances to the reporting hospital, respectively. Disease stage mediated 54% and 31% of the associations between metro, urban, or rural residence and residential distance categories and survival.

CONCLUSIONS

Rural residence and living long distances from the reporting hospital were associated with later stage diagnoses and lower survival in AYAs with cancer. Further research is needed to understand mechanisms.

LAY SUMMARY

Adolescents and young adults (AYAs) with cancer are a vulnerable population because cancer is of low suspicion in this population and may not be diagnosed in a timely manner. The authors evaluated evidence for geographic disparities in cancer stage at diagnosis and survival in the AYA population. The findings indicate that AYAs living in rural versus metropolitan US counties and those living farther from the diagnosis reporting hospital are more likely to be diagnosed at a later cancer stage, when it is generally less treatable, and have lower survival compared with AYAs living in metropolitan counties.

Retroperitoneal Lymph Node Dissection Versus Surveillance for Adult Early Stage Pure Testicular Teratoma: A Nationwide Analysis

PURPOSE

Following radical orchiectomy, surveillance and primary retroperitoneal lymph node dissection (RPLND) are acceptable options for the management of early stage pure testicular teratoma in adult patients; however, there is no uniform consensus. The aim of this study was to investigate survival outcomes of adults with early stage pure testicular teratoma based on management strategy.

METHODS

Data was extracted from the National Cancer Database (NCDB) from testicular cancer patients diagnosed with clinical stage (CS) I pure teratoma (pT1-4N0M0S0) between 2004 and 2014. Kaplan-Meier and Cox regression analyses were used to assess clinical outcomes based on management strategy.

RESULTS

Of the 61,167 patients diagnosed with testicular cancer, 692 (1.1%) had pure teratoma. Only individuals with CS I disease were considered (n = 237). The median age was 28 (23-35) years. Overall, 43 (18%) patients underwent RPLND and 194 (82%) patients were managed with surveillance. There was an increase in surveillance for CS I teratoma during the study period. Increasing distance from residence to treatment facility was an unadjusted predictor for undergoing primary RPLND (p < 0.001). Median follow-up was 54 months and there was no significant difference in overall survival between CS I teratoma patients managed with RPLND and those managed with surveillance (p = 0.13).

CONCLUSIONS

There has been a trend toward increasing adoption of surveillance for the management of early stage pure testicular teratoma in adults. Our findings suggest that surveillance provides comparable survival outcomes to primary retroperitoneal lymph node dissection in this setting.

Implications of Regionalizing Care in the Developing World: Impact of Distance to Referral Center on Compliance to Biopsy Recommendations in a Brazilian Prostate Cancer Screening Cohort

Given growing specialization in medical care, optimal care may require regionalization, which may create access barriers. We tested this within a large prostate cancer (PC) screening program in Brazil. In 2004-2007, Barretos Cancer Hospital prospectively screened men for PC throughout rural Brazil. Men with abnormal screen were referred for follow-up and possible biopsy. We tested the link between distance from screening site to Barretos Cancer Hospital and risk of noncompliance with showing up for biopsy, PC on biopsy and, among those with PC, PC grade using crude and multivariable logistic regression analysis. Among 10,467 men undergoing initial screen, median distance was 257 km (IQR: 135-718 km). On crude and multivariable analyses, farther distance was significantly linked with biopsy noncompliance (OR/100 km: 0.83, P < 0.001). Among men who lived within 150 km of Barretos Cancer Hospital, distance was unrelated to compliance (OR/100 km: 1.09, P=0.87). There was no association between distance and PC risk or PC grade (all P > 0.25). In Brazil, where distances to referral centers can be large, greater distance was related to reduced biopsy compliance in a PC screening cohort. Among men who lived within 150 km, distance was unrelated to compliance. Care regionalization may reduce access when distances are large.

A narrative review of sociodemographic risk and disparities in screening, diagnosis, treatment, and outcomes of the most common extrathoracic malignancies in the United States

There is a well-established association between multiple sociodemographic risk factors and disparities in cancer care. These risk factors include minority race and ethnicity, low socioeconomic status (SES) including low income and education level, non-English primary language, immigrant status, and residential segregation, and distance to facilities that deliver cancer care. As cancer care advances, existing disparities in screening, treatment, and outcomes have become more evident. Lung cancer remains the most common and fatal malignancy in the United States, with breast, colorectal, and prostate cancer being the three most common and deadly extrathoracic malignancies. Achieving the best outcomes for patients with these malignancies relies on strong physician-patient relationships leading to robust screening, early diagnosis, and early referral to facilities that can deliver multidisciplinary care and multimodal therapy. It is likely that challenges experienced in developing patient trust and understanding, providing access to screening, and building referral pipelines for definitive therapy in lung cancer care to vulnerable populations are paralleled by those in extrathoracic malignancies. Likewise, progress made in delivering optimal care to all patients across sociodemographic and geographic barriers can serve as a roadmap. Therefore, we provide a narrative review of current disparities in screening, treatment, and outcomes for patients with breast, prostate, and colorectal malignancies.

Travel Time to a High Volume Center Negatively Impacts Timing of Care in Rectal Cancer

BACKGROUND

Regionalization of rectal cancer surgery may lead to worse disease free survival owing to longer travel time to reach a high volume center yet no study has evaluated this relationship at a single high volume center volume center.

MATERIALS AND METHODS

This was a retrospective review of rectal cancer patients undergoing surgery from 2009 to 2019 at a single high volume center. Patients were divided into two groups based on travel time. The primary outcome was disease-free survival (DFS). Additional outcomes included treatment within 60 d of diagnosis, completeness of preoperative staging, and evaluation by a colorectal surgeon prior to initiation of treatment.

RESULTS

A lower proportion of patients with long travel time began definitive treatment within 60 d of diagnosis (74.0% versus 84.0%, P= 0.01) or were seen by the treating colorectal surgeon before beginning definitive treatment (74.8% versus 85.4%, P < 0.01). On multivariable logistic regression analysis, patients with long travel time were significantly less likely to begin definitive treatment within 60 d of diagnosis (OR = 0.54; 95% CI = 0.31-0.93) or to be evaluated by a colorectal surgeon prior to initiating treatment (OR = 0.45; 95% CI = 0.25-0.80). There were no significant differences in DFS based on travel time.

CONCLUSIONS

Although patients with long travel times may be vulnerable to delayed, lower quality rectal cancer care, there is no difference in DFS when definitive surgery is performed at a high volume canter. Ongoing research is needed to identify explanations for delays in treatment to ensure all patients receive the highest quality care.

Common and Unique Barriers to the Exchange of Administrative Healthcare Data in Environmental Public Health Tracking Program

CDC’s National Environmental Public Health Tracking Program (Tracking Program) receives administrative data annually from 25–30 states to track potential environmental exposures and to make data available for public access. In 2019, the CDC Tracking Program conducted a cross-sectional survey among principal investigators or program managers of the 26 funded programs to improve access to timely, accurate, and local data. All 26 funding recipients reported having access to hospital inpatient data, and most states (69.2%) regularly update data user agreements to receive the data. Among the respondents, 15 receive record-level data with protected health information (PHI) and seven receive record-level data without PHI. Regarding geospatial resolution, approximately 50.0% of recipients have access to the street address or census tract information, 34.6% have access to ZIP code, and 11.5% have other sub-county geographies (e.g., town). Only three states receive administrative data for their residents from all border states. The survey results will help the Tracking Program to identify knowledge gaps and perceived barriers to the use and accessibility of administrative data for the CDC Tracking Program. The information collected will inform the development of resources that can provide solutions for more efficient and timely data exchange.

Regional and facility disparities in androgen deprivation therapy for prostate cancer from a multi-institutional Japan-wide database

OBJECTIVES

To examine the differences in prognosis of prostate cancer patients receiving primary androgen deprivation therapy by region and facility type using a Japan-wide database.

METHODS

Data on patients treated with primary androgen deprivation therapy between 2001 and 2003 from a nationwide community-based database established by the Japan Study Group of Prostate Cancer were obtained. Clinicopathological characteristics and prognostic variables, including progression, cancer-specific survival and overall survival, were compared according to region and facility type where the patients were treated.

RESULTS

Among 19 162 patients, 7102 (37.1%) and 12 060 (62.9%) men were in urban and rural areas, respectively, and 3556 (18.6%), 13 623 (71.1%) and 1983 (10.3%) patients were enrolled from academic centers, non-academic hospitals and urological clinics, respectively. The risks of progression, cancer-specific mortality and all-cause mortality were comparable between urban and rural areas in propensity-score matched analysis. Risks of progression, cancer-specific mortality and all-cause mortality in urological clinics were higher than those in academic centers in propensity-score matched analysis.

CONCLUSIONS

Our findings suggest that Japan facility type, but not geographical regions, might affect the prognosis of prostate cancer patients receiving primary androgen deprivation therapy.

The Effect of Payer Status on Survival of Patients With Prostate Cancer

Background

Disparities in access to care and proper treatment can have significant implications in patient survival outcome and mortality. This retrospective study of prostate cancer patients from the National Cancer Database (NCDB) between the years 2004 and 2014 and follow-up to the end of 2015 analyzed such effects that variation in payer status might have on outcome.

Methods

This study used the data of 696,321 diagnosed prostate cancer patients from the NCDB for the years 2004 to 2014 and follow-up to the end of 2015 to analyze the effect that payer status would have on prostate cancer survival. Multivariable cox regression was used to study the hazard ratios (HRs) of payer status and other variables along with the Charlson Comorbidity Index to analyze their associated increased risk of death. Statistical software SAS 9.4 for Windows was used to analyze the overall survival (OS) of patients on different insurance plans along with variations in prostate-specific antigen (PSA) levels and treatment type.

Results

When looking at OS, those with private insurance had the greatest overall survivability while those on Medicare were the only ones who reached the median OS. In contrast to those who had private insurance, those who had Medicare, the uninsured, and those with Medicaid demonstrated significantly greater risks of death at 43%, 58%, and 69% increased risk of death, respectively. In addition to payer status, other variables were also significant predictors of OS, including demographic factors (age, race), comorbidities, socioeconomic status (income, education), distance traveled to facility, type of facility, treatment delay, treatment modality, PSA levels at diagnosis, and cancer stage at diagnosis.

Conclusion

Payer status is intricately linked to a number of other variables that might affect survival. Even after adjustment for a number of these factors, insurance status was shown to have a significant effect on prostate cancer survivorship. In contrast to those who had private insurance, those who had Medicare, the uninsured, and those with Medicaid demonstrated significantly greater risks of death at 43%, 58%, and 69% increased risk of death, respectively. Studies have suggested that those without insurance or on Medicaid are less likely to undergo screening and have worse health-related quality of life, while those on Medicare may be deterred from continuing treatment due to high out-of-pocket costs. However, the complete mechanism behind the improved survivorship of those on private insurance is unclear. The effect of payer status on quality of life may be an interest that needs to be further studied. Further research will be required to provide definite reasons for these observations and mediation analysis of other factors could prove to be valuable.

Contemporary National Trends and Variations of Pelvic Lymph Node Dissection in Patients Undergoing Robot-Assisted Radical Prostatectomy

INTRODUCTION

Previous studies showed suboptimal adherence to clinical practice guidelines for pelvic lymph node dissection (PLND) during radical prostatectomy (RP). Robot-assisted RP (RARP) has become the predominant surgical management for localized prostate cancer in the United States but contemporary national data on PLND adherence during RARP are still lacking.

METHODS

RARPs for clinically localized (cT1-2N0M0) intermediate-risk and high-risk prostate cancer diagnosed between 2010 and 2016 in National Cancer Database were identified. Outcome of interest was PLND and multivariable logistic regressions were used to identify whether patient demographics and facility characteristics were associated with the outcome.

RESULTS

We included 115,355 patients in the final cohort (intermediate-risk = 86,314, high-risk = 29,041). From 2010 to 2016, there was an increasing trend of PLND in the overall, intermediate-risk, and high-risk cohorts. In 2016, PLND was performed in 79.7% of the intermediate-risk and 93.5% of the high-risk patients. Multivariable logistic regressions showed Hispanic race/ethnicity (vs. white) (odds ratio [OR] = 0.90, P = .010), lowest socioeconomic status (vs. highest) (OR = 0.85, P < .001), rural area (vs. metro area) (OR=0.61, P < .001), and community facility (vs. academic) (OR = 0.56, P < .001) were some of the factors associated with lower PLND rate. Variations of PLND rate among reporting facility's locations were also identified.

CONCLUSION

Contemporary national data showed significantly increased PLND rate in patients who underwent RARP for intermediate-risk and high-risk prostate cancer in recent years. However, there were still some variations in PLND rate among different patient populations and facilities. Continued efforts need to be made to further increase PLND rate and narrow or eliminate disparities we identified.

First-Line Palliative Chemotherapy for Esophageal and Gastric Cancer: Practice Patterns and Outcomes in the General Population

PURPOSE

Clinical trials have shown that palliative chemotherapy (PC) improves survival in patients with incurable esophageal and gastric cancer; however, outcomes achieved in routine practice are unknown. We describe treatment patterns and outcomes among patients treated in the general population of Ontario, Canada.

METHODS

The Ontario Cancer Registry was used to identify patients with esophageal or gastric cancer from 2007 to 2016, and data were linked to other health administrative databases. Patients who received curative-intent surgery or radiotherapy were excluded. Factors associated with the receipt of PC were determined using logistic regression. First-line PC regimens were categorized, and trends over time were reported. Survival was determined using the Kaplan-Meier method.

RESULTS

The cohort included 9,848 patients; 22% (2,207 of 9,848) received PC. Patients receiving PC were younger (mean age, 63 v 74 years; P < .0001) and more likely male (71% v 65%; P < .0001). Thirty-seven percent of non-PC patients saw a medical oncologist in consultation. Over the study period, utilization of PC increased (from 11% in 2007 to 19% in 2016; P < .0001), whereas the proportion of patients receiving triplet regimens decreased (65% in 2007 to 56% in 2016; P = .04). In the PC group, the median overall and cancer-specific survival from treatment initiation was 7.2 months.

CONCLUSION

One fifth of patients with incurable esophageal and gastric cancer in the general population receive PC. Median survival of patients treated in routine practice is inferior to that in clinical trials. Only one third of patients not treated with PC had consultation with a medical oncologist. Further work is necessary to understand low utilization of PC and medical oncology consultation in this patient population.

Impact of distance from implant center on mechanical circulatory device patient outcomes

OBJECTIVES

Patients on left ventricular assist device (LVAD) support receive extensive care and education before discharge home. We investigated the impact of patient's residential distance from LVAD implantation center on outcomes and survival.

METHODS

A total of 214 patients received a LVAD between 2006 and 2018 at our institution. Patient's residential distance from the LVAD implantation center, LVAD complications, hospitalization, and death were recorded. Patients were divided into two groups: patients living less than or equal to 100 miles (Group 1), patients living more than 100 (Group 2).

RESULTS

A total of 106 patients were assigned to Group 1 and 108 patients were assigned to Group 2. Destination therapy was intended in 20% of patients in Group 1 and 34% in Group 2 (p = .023). Mean length of stay was 13 ± 9 days for Group 1 and 21 ± 12 for Group 2 (p < .001). Major postoperative complications were unplanned readmissions due to infections (9% and 12%), gastrointenstinal bleeding (15% and 14%), cerebrovascular accidents (6% and 7.4%), and acute kidney injury (5% and 2%), respectively for Group 1 and Group 2. There was no difference in major complications (all p > .05) and survival between patients in both groups (p > .05).

CONCLUSIONS

Distance from implanting center had no impact on adverse outcomes after LVAD implantation. There was a significant increase in hospital stay for patients who live far from the implanting center, suggesting that distance should not be a contraindication when considering patients for LVAD therapy, but plans should be made for prolonged hospital stay or extended local stay near the hospital for close follow-up.

Influence of Geography on Prostate Cancer Treatment

PURPOSE

Several definitive treatment options are available for prostate cancer, but geographic access to those options is not uniform. We created maps illustrating provider practice patterns relation to patients and assessed the influence of distance to treatment receipt.

METHODS AND MATERIALS

The patient cohort was created by searching the National Medicare Database for patients diagnosed and treated for prostate cancer from 2011 to 2014. The provider cohort was created by querying the American Medical Association Physician Masterfile to identify physicians who had treated patients with prostatectomy, intensity modulated radiation therapy (IMRT), brachytherapy, stereotactic body radiation therapy (SBRT), or proton therapy. Maps detailing the location of providers were created for each modality. Multivariate multinomial logistic regressions were used to assess the association between patient-provider distance and probability of treatment.

RESULTS

Cohorts consisted of 89,902 patients treated by 5518 physicians. Substantial numbers of providers practicing established modalities (IMRT, prostatectomy, and brachytherapy) were noted in major urban centers, whereas provider numbers were reduced in rural areas, most notably for brachytherapy. Ninety percent of prostate cancer patients lived within 35.1, 28.9, and 55.6 miles of a practitioner of prostatectomy, IMRT, and brachytherapy, respectively. Practitioners of emerging modalities (SBRT and proton therapy) were predominantly concentrated in urban locations, with 90% of patients living within 128 miles (SBRT) and 374.5 miles (proton). Greater distance was associated with decreased probability of treatment (IMRT -3.8% per 10 miles; prostatectomy -2.1%; brachytherapy -2%; proton therapy -1.6%; and SBRT -1.1%).

CONCLUSIONS

Geographic disparities were noted for analyzed treatment modalities, and these disparities influenced delivery.

Is long travel distance a barrier to surgical cancer care in the United States? A systematic review

BACKGROUND

Travel distance to surgical cancer care is increasing. The relationship between increased travel distance and receipt of surgical cancer care in the United States is not well characterized.

METHODS

A systematic review of studies examining travel distance and receipt of surgery for adult patients in the United States was performed. Literature searches were conducted using PubMed and EMBASE.

RESULTS

Seven studies were included. Only one found lower likelihood of surgery with increasing travel distance. Three studies, all based on hospital-based data, found that increased travel distance was associated with a higher likelihood of receiving surgery. Two studies found no association and one study had mixed findings.

CONCLUSION

We were unable to identify a consistent relationship between travel distance and receipt of surgery. Our results highlight the need for additional research examining how increasing travel distance impacts receipt of surgical cancer care.

The effect of distance from cancer facility on advanced clinical stage at diagnosis in patients with cervical cancer

PURPOSE/OBJECTIVES

In the United States, cervical cancer remains a significant cause of morbidity and mortality. The effect of distance has a complicated relationship with disease characteristics and outcomes in other cancers. The purpose of this study is to investigate the relationship between distance from cancer facility on clinical stage at diagnosis in women with cervical cancer.

MATERIALS/METHODS

Data were obtained from the National Cancer Database which include patient demographics, disease characteristics, and treatment details. Persons diagnosed with cervical cancer from 2004 to 2015 were included. Subjects were excluded if they had missing information, variant histology, or lived >1,000 miles from their facility resulting in 51,413 persons. Disease was classified as localized (stage 1a-2a) or advanced (stage 2b-4b). Univariate comparisons were performed using analysis of variance and chi-square test. Multivariable logistic regression was used to investigate the effect of distance quartiles on advanced stage while adjusting for other significant variables.

RESULTS

Mean age was 51.0 years, 16.9% of women were black, 14.7% were Hispanic, 45.0% had private insurance, and 10.7% were uninsured. Overall, 50.9% of women presented with advanced disease. In multivariable analysis, greater distance demonstrated a stepwise risk reduction of advanced disease where those in the farthest quartile had odds ratio of 0.73 (p<0.001) relative to the closest. Additionally, age, race, income, and insurance status significantly affected risk of advanced disease.

CONCLUSIONS

Distance from cancer facility resulted in lower risk of advanced stage disease at diagnosis. Additional research could elucidate the nuanced relationship between distance, disease characteristics and outcomes in cervical cancer.

Distance to treatment center is associated with survival in children and young adults with acute lymphoblastic leukemia

BACKGROUND

Socioeconomic and demographic categories such as income, race, insurance status, and treatment center type are associated with outcomes in acute leukemia. This study was aimed at determining whether the distance to treatment center affects overall survival for children and young adults with acute leukemia.

METHODS

The National Cancer Database was queried for patients 39 years old or younger who were diagnosed with acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). A backward elimination procedure was used to select final multivariate Cox models.

RESULTS

In total, 12,301 patients with AML and 22,683 patients with ALL were analyzed. The ALL model included distance to treatment center, Charlson-Deyo score, age, race, insurance status, and community income level. US census definitions of urban and rural were not statistically significant, and no interaction was significant for included variables. Compared with distances > 50 miles, all other distances were associated with improved survival (hazard ratio [HR] for ≤10 miles, 0.91; P = .04; HR for >10 to ≤20 miles, 0.86; P = .004; HR for >20 to ≤50 miles, 0.87; P = .005). The final model for AML included the same variables as the ALL model except for distance to treatment center, which was not statistically significant.

CONCLUSIONS

For children and young adults with ALL, distances > 50 miles are associated with inferior overall survival; however, no difference is seen for AML. Although it is unknown whether differences in survival for patients with ALL based on distance are driven by relapse or treatment-related mortality, increased attention to adherence, supportive care, and logistics for patients traveling long distances is warranted.

LAY SUMMARY

For children and young adults with acute lymphoblastic leukemia, living more than 50 miles from the treatment center is associated with worse outcomes.

Predicting salvage laryngectomy in patients treated with primary nonsurgical therapy for laryngeal squamous cell carcinoma using machine learning

BACKGROUND

Machine learning (ML) algorithms may predict patients who will require salvage total laryngectomy (STL) after primary radiotherapy with or without chemotherapy for laryngeal squamous cell carcinoma (SCC).

METHODS

Patients treated for T1-T3a laryngeal SCC were identified from the National Cancer Database. Multiple ML algorithms were trained to predict which patients would go on to require STL after primary nonsurgical treatment.

RESULTS

A total of 16 440 cases were included. The best classification performance was achieved with a gradient boosting algorithm, which achieved accuracy of 76.0% (95% CI 74.5-77.5) and area under the curve = 0.762. The most important variables used to construct the model were distance from residence to treating facility and days from diagnosis to start of treatment.

CONCLUSION

We can identify patients likely to fail primary radiotherapy with or without chemotherapy and who will go on to require STL by applying ML techniques and argue for high-quality, multidisciplinary regionalized care.

Travel distance and its interaction with patient and hospital factors in pancreas cancer care

BACKGROUND

Although volume-outcome literature supports regionalization for complex procedures, travel may be burdensome. We assessed the relationship between overall survival and travel distance for patients undergoing pancreatic resection for adenocarcinoma.

METHODS

We analyzed the Fall 2018 National Cancer Database Public Use File. We defined distance traveled as a categorical variable (<12.5 miles, 12.5-50mi, and >50mi). We analyzed overall survival (OS) as a function of distance traveled using the log rank test and Cox proportional hazards models; we estimated stratified models to assess for interaction between distance and other relevant covariates.

RESULTS

In adjusted analysis of 39,089 patients, greater distance was associated with decreased OS (p = 0.0029). We found interactions between distance and center type, comorbidities, and age. Distance traveled was a negative factor for patients treated at low-volume academic centers (but not high-volume academic or non-academic centers). Additionally, distance traveled was a negative factor for OS in young, healthy patients but not geriatric, ill patients.

CONCLUSION

Traveling more than 12.5 miles for pancreatic resection was associated with worse OS. Prior to regionalization, evaluation of local resources may be necessary.