Urban and rural differences in outcomes of head and neck cancer

Differences in Rural Versus Urban Patients With Prostate Cancer in Diagnosis and Treatment: An Analysis of a Population-Based Cohort

PURPOSE

Patients living in rural communities have greater barriers to cancer care and poorer outcomes. We hypothesized that rural patients with prostate cancer have less access and receive different treatments compared with urban patients.

METHODS

We used a population-based prospective cohort, the North Carolina Prostate Cancer Comparative Effectiveness and Survivorship Study, to compare differences in prostate cancer diagnosis, access to care, and treatment in patients by geographic residence. The 2013 rural-urban continuum code (RUCC) was used to determine urban (RUCC 1-3) versus rural (RUCC 4-9) location of residence.

RESULTS

Patients with rural residence comprised 25% of the cohort (364 of 1,444); they were less likely to be White race and had lower income and educational attainment. Rural patients were more likely to have <12 cores on biopsy (47.1% v 35.7%; P < .001) and less likely (40.8% v 47.6%; P = .04) to receive multidisciplinary consultation. We observed significant differences in treatment between urban and rural patients, including rural patients receiving less active surveillance or observation (22.6% v 28.7%), especially in low-risk cancer (33.2% v 40.7%). On multivariable analysis that adjusted for patient and diagnostic factors, rural residence was associated with less use of active surveillance or observation over radical treatment (ie, surgery or radiation therapy; odds ratio, 0.49 v urban; P < .001) in patients with low-risk cancer.

CONCLUSION

Patients with prostate cancer who live in rural versus urban areas experience several differences in care that are likely clinically meaningful, including fewer cores in the diagnostic biopsy, less utilization of multidisciplinary consultation, less use of active surveillance, or observation for low-risk disease. Future studies are needed to assess the efficacy of interventions in mitigating these disparities.

Investigating Disparities in Hypopharyngeal/Laryngeal Cancer Survival in Florida With Geospatial Mapping Analysis

OBJECTIVE

Identify predictors of overall survival (OS) after hypopharyngeal/laryngeal cancer in Florida.

MATERIAL AND METHODS

We conducted a retrospective cohort study using data from the Florida Cancer Data System (FCDS) on patients diagnosed with hypopharyngeal or laryngeal cancer from 2010-2017. Primary outcome was OS. Hazard ratios (HRs) were estimated from univariable and multivariable Cox regression models for OS. Data was analyzed from November 1, 2022, to June 30, 2023.

RESULTS

We analyzed 6771 patients, who were primarily male (81.2%), White non-Hispanic (WNH) (78.2%), publicly insured (70.1%), married (51.8%), and residents of urban counties (73.6%). Black patients were more likely to be younger at diagnosis (38.9%), single (43.4%), to have distant SEER stage disease (25.6%). Median OS were lowest among patients who were uninsured (34 months), with hypopharyngeal site disease (18 months), and a smoking history (current: 34 months, former: 46 months, no smoking: 63 months). Multivariable Cox regression analysis showed worse OS for single/unmarried vs married (HR 1.47 [95%CI: 1.36-1.59], P < .001), history of tobacco use (current: HR 1.62 [95%CI: 1.440-1.817], P < .001; former smokers: (HR 1.28 [95%CI: 1.139-1.437], P < .001) vs no history). Improved OS was observed among White Hispanics (WH) vs WNH (HR .73 [95%CI: .655-.817], P < .001) and women vs men (HR .88 [95%CI: .807-.954], P = .002). Geographical mapping showed that mortality rates were highest in census tracts with low income and education.

CONCLUSION

Our findings suggest that sociodemographic and clinical factors impact OS from hypopharyngeal/laryngeal cancer in Florida and vary geographically within the state. These results will help guide future public health interventions.

Demographics and access to head and neck cancer care in rural areas compared to urban areas in Germany

BACKGROUND

Demographic development in rural and urban areas differs substantially. Demographics and access to specialized head and neck cancer centers may affect head and neck cancer patients' (HNCP) outcomes. Here, we compare epidemiological indicators and outcomes of HNCP in rural and urban Germany.

PATIENTS AND METHODS

In a retrospective analysis of data from the Center for Cancer Registry Data (ZfKD) between 2002 and 2017, 212,920 HNCP were included. Incidence, demographics, travel distance to specialized centers, and ground values were compared between rural and urban areas with a focus on their association with patient outcomes.

RESULTS

The mean age of HNCP was significantly higher in urban areas (mean difference = 1.4 years; p < 0.0001), but increased at a comparable rate (p = 0.26) in rural and urban areas during the observation period. Gender imbalance was higher in rural areas (mean ratio of men/women: 4.1 vs. 3.1; p < 0.0001), but showed a comparable trend toward equilibration in both, rural and urban districts (p = 0.46). The portion of HNCP of the entire HNCP population living in urban areas increased from 55.9% in the year 2002 to 76.4% in the year 2017. There was no significant difference or change in the ratio of advanced to low UICC stage during the observation period (p = 0.26). However, travel distances to medical centers were higher in rural areas, especially (p < 0.0001) in East Germany. Median survival of HNCP in rural areas was significantly lower than in urban areas (42 months [SEM = 0.7; CI: 40.5-43.5] vs. 54 months [SEM = 1.2; CI: 51.7-56.3]; p < 0.0001) in East Germany, whereas in West Germany no significant difference was observed (59 months [SEM = 0.8; CI: 57.4-60.6] vs. 60 months [SEM = 0.5; CI: 59.0-61.0]; p = 0.15).

CONCLUSIONS

Place of residence contributes to survival outcome of HNCP. Access to specialized care and socioeconomic factors could be improved in East Germany.

Disentangling Social Determinants of Health and Rurality in Head and Neck Cancer 2-Year Mortality

Social determinants of health (SDoH) and rurality are known factors that may influence outcomes in head and neck squamous cell carcinoma (HNSCC). Patients residing in remote locations or those with multiple SDoH may encounter barriers to initial diagnosis, adherence to multidisciplinary treatments, and posttreatment surveillance, which may impact their overall survival. However, previous studies have shown mixed results associated with rural residence. The aim of this study is to identify the impact of rurality and SDoH on 2-year survival in HNSCC. The study was conducted using a Head and Neck Cancer Registry at a single institution from June 2018 through July 2022. Rurality, defined by US census scores, and individual measures of SDoH were used. Our results indicate that each additional adverse SDoH factor results in 1.5 times the odds of mortality at 2 years. Individualized measures of SDoH, rather than rurality alone, better reflect patient prognosis in HNSCC.

Emerging Disparities in Prevention and Survival Outcomes for Patients with Head and Neck Cancer and Recommendations for Health Equity

Purpose of Review

The aim of this review is to describe less known and emerging disparities found in the prevention and survival outcomes for patients with head and neck cancer (HNC) that are likely to play an increasingly important role in HNC outcomes and health inequities.

Recent Findings

The following factors contribute to HNC incidence and outcomes: (1) the effect of rurality on prevention and treatment of HNC, (2) dietary behavior and nutritional factors influencing the development of and survival from HNC, and (3) barriers and benefits of telehealth for patients with HNC.

Summary

Rurality, nutrition and diet, and telehealth usage and access are significant contributors to the existing health disparities associated with HNC. Population and culturally specific interventions are urgently needed as well as more research to further define the issues and develop appropriate population and individual level solutions.

Health-related quality of life in head and neck cancer survivors: Evaluating the rural disadvantage

PURPOSE

Head and neck cancer (HNC) survivors often experience distress and health-related quality of life (HRQOL) impairment. Research suggests that rural cancer patients may have poorer outcomes than urban patients. This study examined whether HNC patient emotional and HRQOL outcomes differ in those living in a rural versus urban location at 6 and 12 months postdiagnosis.

METHODS

A total of 261 HNC patients were included from a longitudinal study of HNC outcomes. The majority were diagnosed with advanced stage cancer (51.3%); the most common cancer site was oral cavity (41.0%). Rurality was measured using the US Department of Agriculture Rural Urban Commuting Area codes. Depression was measured using the Beck Depression Inventory (BDI), general HRQOL using the Short Form-36 (SF-36), and HNC-specific HRQOL using the Head and Neck Cancer Inventory (HNCI). Analyses were 2 (group) × 3 (assessment) repeated measures ANCOVAs, controlling for demographic and clinical characteristics.

FINDINGS

Approximately 45% of the sample lived in a rural location. Follow-up comparisons of significant overall models indicated that rural patients reported significantly more nonsomatic depression symptoms at 6-month follow-up. Rural patients were also more likely to report significantly poorer general mental HRQOL at 12-month follow-up, significantly poorer HNC-specific HRQOL related to eating at 6- and 12-month follow-up, and marginally worse aesthetics at 12-month follow-up.

CONCLUSIONS

These findings are consistent with suggestions that rural HNC patients may be at heightened risk for depression symptoms and decrements in HRQOL. Patients should be screened and regularly monitored for issues with depression and HNC-specific HRQOL throughout the survivorship period.

Geographic disparities in head and neck cancer survival in Upstate New York 2011-2019

PURPOSE

To examine the association between distance to care-center and urban-rural residence on 5-year overall survival (OS) from head and neck cancer (HNC).

MATERIALS AND METHODS

Five-year OS was retrospectively measured from date of initial diagnosis for patients with HNC treated at a single tertiary care center. Distances were calculated based on ZIP code of patient's residence and care center. Multilevel Weibull regression was used to adjust for confounders and identify disparities in 5-year all-cause mortality.

RESULTS

A total of 670 patients included in study. Multivariable analysis revealed older age or late-stage cancer at diagnosis, and HPV negative status were associated with poorer OS. Patients residing in isolated small rural town (HR = 2.20, p = 0.015) or small rural town (HR = 2.07, p = 0.015) had lower OS. Distance to care center was not associated with OS (HR = 0.996, p = 0.11).

CONCLUSIONS

Greater rurality was associated with poorer OS among HNC patients in Upstate New York.

The impact of travel distance to treatment centre on oral tongue squamous cell carcinoma survival and recurrence

There have been no prior studies examining the effect of distance to the treatment centre on oral squamous cell carcinoma outcomes in Australia. The purpose of this study was to analyse the impact of travel distance on oral tongue squamous cell carcinoma (OTSCC) outcomes. This was a retrospective analysis of 243 patients who received surgical treatment ± adjuvant therapy between 2007 and 2016. The overall survival (OS), disease-specific survival (DSS), and freedom from loco-regional failure (FFLRF) survival analyses were conducted using Kaplan-Meier curves and a multivariate Cox proportional hazards model. A competing risk (CR) analysis was conducted. Patients living ≥200 km from the treatment centre, when compared with those living within 40 km, had worse OS (hazard ratio (HR) 3.11, 95% confidence interval (CI) 1.74-5.54), DSS (HR 2.58, 95% CI 1.30-5.12), and FFLRF (HR 2.47, 95% CI 1.22-5.01). These discrepancies were significant when adjusted for socioeconomic status (OS P < 0.001, DSS P  0.004, FFLRF P = 0.005) and in the presence of CR (OTSCC-specific death with CR 'non-disease-related death' P =0.030, FFLRF with CR 'any cause death' P = 0.013, FFLRF with CR 'OTSCC-specific death' P = 0.004). Patients with OTSCC living ≥200 km from the treatment centre were found to have worse outcomes than those living within 40 km.

Ninety-day mortality after radiotherapy for head and neck cancer: A population-based comparison between rural and urban patients

BACKGROUND

This study assesses whether 90-day mortality differs between patients living in rural and urban areas, as lower access to supportive care services in rural areas could result in higher mortality.

METHODS

All patients with head and neck cancer (HNC) treated between 1998 and 2014 with radiotherapy in British Columbia were included. Patients were divided into rurality areas according to the Modified Statistics Canada (mSC) definition, which classifies a population <30 000 as rural and ≥30 000 as urban.

RESULTS

Five thousand five hundred and fifty-four patients were included in this study, of which 68% lived in urban centers. The 90-day mortality for rural versus urban patients were 3.0% and 3.9% (p = 0.09), respectively. Univariate and multivariate analyses showed no association with 90-day mortality and rurality.

CONCLUSION

After controlling for potentially confounding factors, we did not find a significant association between 90-day mortality and rurality in patients who were treated with radiotherapy for HNC in British Columbia.

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.

Effect of socioeconomic status on survival in patients with head and neck cancer

BACKGROUND

The aim of this study was to assess the survival outcomes of head and neck cancer (HNC) by socioeconomic status.

METHODS

A national retrospective population-based cohort of HNC patients diagnosed in Israel between 2000 and 2017 was conducted. Site of residence and socioeconomic status were correlated with overall survival (OS), controlling for prognostic factors that included tumor site, stage, age, sex, and ethnic group.

RESULTS

Overall, 11 826 patients were identified. Patients from high socioeconomic areas had better overall 5-year survival than patients from low socioeconomic areas (p < 0.005). Patients in stage 3 from a high socioeconomic status had a longer median survival rate of 1.5 years than patients in the low-status group. In a cox proportional hazards analysis, we found age >65 (HR 2.91, 95% confidence interval [CI]: 2.75-3.09, p < 0.001) and low socioeconomic group (HR 1.25, 95% CI: 1.18-1.33, p < 0.001) to be correlated with inferior OS.

CONCLUSION

Our findings show that patients with HNC living in low socioeconomic areas had worse OS.

Socioeconomic Status and Rurality Among Patients With Head and Neck Cancer

OBJECTIVE

Describe the relationship among rurality, socioeconomic status (SES), and patient/tumor characteristics in patients presenting with head and neck cancer.

STUDY DESIGN

Retrospective single-institution study.

SETTING

Academic tertiary-level medical center.

METHODS

Patients with head and neck cancer presenting between 2011 and 2015 were included. Stage at presentation, insurance status, and demographic characteristics were collected. Rurality was measured through Rural-Urban Continuum Codes. SES was measured by SES index scores of the Agency for Healthcare Research and Quality, which incorporate multiple components of SES. Associations among rurality, SES, and patient/tumor characteristics were assessed with univariate and multivariable statistics. All P values were calculated via 2-sided hypotheses. The threshold for statistical significance was set at P < .05. Statistical analyses were conducted with Stata/SE 14 (StataCorp).

RESULTS

The study included 266 patients diagnosed with head and neck cancer between 2011 and 2015. Rural residence was associated with lower SES (P < .001). T and N stages were associated with rurality (P = .036 and .050, respectively). Higher educational status was associated with oropharyngeal cancer (P = .005).

CONCLUSIONS

Rurality and SES have distinct impacts on patients with head and neck cancer. Specifically, rurality is associated with tumor stage among patients with head and neck cancer. Knowledge of disparities among patients with rural residency may help target interventions to facilitate earlier diagnosis.

Development and virtual validation of a novel digital workflow to rehabilitate palatal defects by using smartphone-integrated stereophotogrammetry (SPINS)

Palatal defects are rehabilitated by fabricating maxillofacial prostheses called obturators. The treatment incorporates taking deviously unpredictable impressions to facsimile the palatal defects into plaster casts for obturator fabrication in the dental laboratory. The casts are then digitally stored using expensive hardware to prevent physical damage or data loss and, when required, future obturators are digitally designed, and 3D printed. Our objective was to construct and validate an economic in-house smartphone-integrated stereophotogrammetry (SPINS) 3D scanner and to evaluate its accuracy in designing prosthetics using open source/free (OS/F) digital pipeline. Palatal defect models were scanned using SPINS and its accuracy was compared against the standard laser scanner for virtual area and volumetric parameters. SPINS derived 3D models were then used to design obturators by using (OS/F) software. The resultant obturators were virtually compared against standard medical software designs. There were no significant differences in any of the virtual parameters when evaluating the accuracy of both SPINS, as well as OS/F derived obturators. However, limitations in the design process resulted in minimal dissimilarities. With further improvements, SPINS based prosthetic rehabilitation could create a viable, low cost method for rural and developing health services to embrace maxillofacial record keeping and digitised prosthetic rehabilitation.

Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context

BACKGROUND

This study aims to examine the relationship between race and rural-urban context in head and neck cancer (HNC) survival and determine factors that potentially drive this disparity.

METHODS

Using the National Cancer Database from 2004 to 2015, we identified a retrospective cohort of 146,256 patients with HNC. Kaplan-Meier survival curves and the Cox proportional hazards regression were used to calculate adjusted HRs.

RESULTS

Median survival by patient subgroup was as follows: White urban [67 months; 95% confidence interval (CI), 66.0-67.9], White rural (59.1 months; 95% CI, 57.2-60), Black urban (43.1 months; 95% CI, 41.1-44.5), and Black rural (35.1 months; 95% CI, 31.9-39.0). The difference in 5-year survival, stratified by rural-urban context, was greater among Black patients [Δ restricted mean survival time (ΔRMST) 0.18; 95% CI, 0.10-0.27] than White patients (ΔRMST 0.08; 95% CI, 0.06-0.11). In the univariate Cox proportional hazards analysis with White urban patients as reference group, Black rural patients had the worst survival (HR, 1.45; 95% CI, 1.43-1.48; P < 0.001), followed by Black urban patients (HR, 1.29; 95% CI, 1.28-1.30; P < 0.001), and White rural patients (HR, 1.08; 95% CI, 1.07-1.09; P < 0.001). This disparity persisted when controlling for demographic, socioeconomic, and clinical factors.

CONCLUSIONS

Black patients with HNC, specifically those living in rural areas, have decreased survival. Survival differences by rural-urban status are greater among Black patients than White patients.

IMPACT

We have shown that race and rural-urban status impact HNC survival outcomes. Our findings will help future researchers to better frame approaches to address this disparity.

Rural-Urban Disparities in Otolaryngology: The State of Illinois

OBJECTIVES/HYPOTHESIS

To highlight rural-urban disparities in otolaryngology, and to quantify the disparities in access to otolaryngology specialist care across Illinois. Several studies across disciplines have shown increased prevalence and severity of disease in rural communities, relative to their urban counterparts. There is very little published quantifying a disparity in rural access to otolaryngologists.

STUDY DESIGN

Population study.

METHODS

Counties in Illinois were classified based on urbanization level on a scale from I (most urban) to VI (least urban) using the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification scheme. The six urbanization levels include four metropolitan (I-IV) and two nonmetropolitan levels (V and VI). The name and practice location of all registered otolaryngologists in Illinois were collected using the American Academy of Otolaryngology website (ENTnet.org). Population data were recorded from the most recent US Census (2010).

RESULTS

Two hundred seventy-eight academy-registered otolaryngologists were identified in Illinois. One hundred fifty-one of these providers were located in a single county categorized as a level I by the NCHS scheme. There are over 18,000 square miles and 600,000 persons living in NCHS level VI counties in Illinois with zero registered otolaryngologists. Overall, metropolitan counties (I-IV) averaged 1.32 otolaryngologists per 100,000 population, whereas nonmetropolitan counties (V and VI) averaged 0.46 otolaryngologists per 100,000 (P < .01).

CONCLUSIONS

There is a paucity of academy-certified otolaryngologists with primary practice locations in rural counties of Illinois. There is a significant rural population and massive land area with limited spatial access to otolaryngologic specialist care.

LEVEL OF EVIDENCE

NA Laryngoscope, 131:E70-E75, 2021.

Geographical and Racial Disparities in Head and Neck Cancer Diagnosis in South-Eastern United States: Using Real-World Electronic Medical Records Data

Background: Rurality, race, and age at diagnosis are important predictors in head and neck cancer (HNC) prognosis. However, literature on the associations of rurality and race with age at HNC diagnosis is limited. Data on geographical, racial, and gender disparities in young HNC patients (diagnosed ≤45 years) are also scarce.

Materials and Methods: This retrospective study assesses rural–urban, racial, and gender disparities in age at HNC diagnosis, using electronic medical records (Cerner) data of 4258 HNC patients (1538 residing in rural counties and 2720 in urban counties) from National Cancer Institute-designated cancer center in Alabama. Rurality was defined based on 2010 U.S. Census Bureau's rural–urban classification. Logistic regression was used to assess the association of young HNC diagnosis with demographical, behavioral, and clinical variables. ArcGIS 10.2 was used to map geospatial distribution of age and population-adjusted HNC case across rural and urban counties.

Results: Patients from rural counties were less likely to be diagnosed at younger age (≤45 years) compared with urban counties (odds ratio [OR] [95% confidence interval (CI)]: 0.74 [0.58–0.93]). Most patients present at stage III/IV (64.9% in rural and 60.2% in urban). Compared with white patients, black patients were 70% more likely to get diagnosed at a young age (95% CI: 1.23–2.35). Young patients were more likely to be females and blacks compared with older patients (p<0.0001). Among oral cavity cancer patients, rural patients were 51% less likely to get diagnosed at young age compared with urban patients (95% CI: 0.27–0.89).

Conclusions: Head and neck cancer screening is not routinely conducted so most show up at later stage of cancer. There is also evidence of disparities in age at HNC diagnosis based on rurality, race, and gender; targeted screening can help in reducing these disparities.