The impact of health insurance status on the survival of patients with head and neck cancer

Multilevel Associations Between Patient- and Hospital-Level Factors and In-Hospital Mortality Among Hospitalized Patients With Head and Neck Cancer

Importance

Risk factors for in-hospital mortality of patients with head and neck cancer (HNC) are multilevel. Studies have examined the effect of patient-level characteristics on in-hospital mortality; however, there is a paucity of data on multilevel correlates of in-hospital mortality.

Objective

To examine the multilevel associations of patient- and hospital-level factors with in-hospital mortality and develop a nomogram to predict the risk of in-hospital mortality among patients diagnosed with HNC.

Design, Setting, and Participants

This cross-sectional study used the 2008-2013 National Inpatient Sample database. Hospitalized patients 18 years and older diagnosed (both primary and secondary diagnosis) as having HNC using the International Classification of Diseases, Ninth Revision, Clinical Modification codes were included. Analysis began December 2018.

Main Outcomes and Measures

The primary outcome of interest was in-hospital mortality. A weighted multivariable hierarchical logistic regression model estimated patient- and hospital-level factors associated with in-hospital mortality. Moreover, a multivariable logistic regression analysis was used to build an in-hospital mortality prediction model, presented as a nomogram.

Results

A total of 85 440 patients (mean [SD] age, 62.2 [13.5] years; 61 281 men [71.1%]) were identified, and 4.2% (n = 3610) died in the hospital. Patient-level risk factors associated with higher odds of in-hospital mortality included age (adjusted odds ratio [aOR], 1.03 per 1-year increase; 95% CI, 1.02-1.03), male sex (aOR, 1.23; 95% CI, 1.12-1.35), higher number of comorbidities (aOR, 1.14; 95% CI, 1.11-1.17), having a metastatic cancer (aOR, 1.49; 95% CI, 1.36- 1.64), having a nonelective admission (aOR, 3.26; 95% CI, 2.83-3.75), and being admitted to the hospital on a weekend (aOR, 1.30; 95% CI, 1.16-1.45). Of the hospital-level factors, admission to a nonteaching hospital (aOR, 1.48; 95% CI, 1.24-1.77) was associated with higher odds of in-hospital mortality. The nomogram showed fair in-hospital mortality discrimination (area under the curve of 72%).

Conclusions and Relevance

This cross-sectional study found that both patient- and hospital-level factors were associated with in-hospital mortality, and the nomogram estimated with fair accuracy the probability of in-hospital death among patients with HNC. These multilevel factors are critical indicators of survivorship and should thus be considered when planning programs or interventions aimed to improve survival among this unique population.

Socioeconomic and Demographic Variation in Insurance Coverage Among Patients With Head and Neck Cancer After the Affordable Care Act

Importance

Health insurance status has a significant association with early diagnosis and stage at presentation, which are the most important predictors of survival among patients with head and neck cancer (HNC). Literature on the association of the Patient Protection and Affordable Care Act (ACA) with changes in insurance status among patients with HNC remains limited. To our knowledge, no studies have evaluated changes in insurance rates across sociodemographic subgroups of patients with HNC.

Objective

To assess the association of the implementation of the ACA with insurance status across socioeconomic and demographic subpopulations of patients with HNC.

Design, Setting, and Participants

A retrospective cohort study using data from the National Cancer Database (NCDB), a hospital-based cancer registry (2011-2015) for adults diagnosed with a malignant primary HNC was carried out. The analyses were conducted from November 2018 through December 2018.

Main Outcomes and Measures

Changes in the percentage of patients with insurance.

Results

A total of 131 779 patients with HNC were identified in the pre-ACA (77 071) and post-ACA (54 708) periods. Overall, 98 207 (74.5%) participants were men and 33 572 (25.5) were women, with 73 124 (55.5%) being aged between 50 to 64 years. There was a 2.68 percentage point decrease (PPD) (95% CI, 2.93-2.42) in the percentage of patients with HNC without insurance from the pre-ACA to the post-ACA period. Changes in the percentage of uninsured patients varied significantly by age, with the largest reduction in uninsured status among patients with HNC aged 18 to 34 years (5.12 PPD; 95% CI, 3.18-7.06) and the smallest reduction in uninsured among those aged 65 to 74 years (0.24 PPD; 95% CI, 0.03-0.45). There was a significantly greater reduction in uninsured status in low-income zip codes (3.45 PPD; 95% CI, 2.76-4.14) than in high-income zip codes (1.99 PPD; 95% CI, 1.63-2.36).

Conclusions and Relevance

There was a significant association between ACA implementation and percentage decrease in uninsured patients. Young adults and those residing in low-income zip codes experienced a significantly higher rate of insurance uptake compared with older adults and residents of high-income areas. This suggests that coverage expansions enacted through the ACA are not only associated with increased access to care among the broader HNC population, but that they may also yield a greater benefit among subpopulations with historically limited insurance coverage.

Mono-institutional retrospective cohort analysis of the insurance status dependent access to ENT-professionals and survival in head and neck squamous cell carcinoma

BACKGROUND

To access the influence of insurance status on time of diagnosis, quality of treatment and survival in head and neck squamous cell carcinoma (HNSCC).

METHODS

This mono-institutional retrospective cohort analysis included all HNSCC patients (n = 1,054) treated between 2001 and 2011, and subdivided the cohort according to the insurance status. Differences between the groups were analyzed using the Chi square and the unpaired student's t-test. Survival rates were calculated by Kaplan-Meier and Cox regression for forward selection.

RESULTS

Nine hundred twenty-five patients showed general, 129 private insurance. The 2 groups were equal regarding age, gender, tumor localization, therapy, and N/M/G/R-status. The T-status differed significantly between the groups showing more advanced tumors in patients with general insurance (p = 0.002). While recurrence-free survival was comparable in both groups, overall survival was significantly better in private patients (p = 0.009). The time frame between first symptom and diagnosis was equal in both groups.

CONCLUSIONS

The time frame between subjective percipience of first symptom and final therapy did not differ between the groups. In our cohort, access to otorhinolaryngological specialists is favorable in both, patients with general and private insurance. Recurrence-free survival was comparable in both groups, indicating successful HNSCC treatment both groups. However, overall survival was significantly better in patients with private insurance suggesting other socioeconomic factors influencing survival.

Differences in Sociodemographic Correlates of Human Papillomavirus-Associated Cancer Survival in the United States

OBJECTIVES

Human papillomavirus (HPV)-associated cancers account for about 9% of the cancer mortality burden in the United States; however, survival differs among sociodemographic factors. We determine sociodemographic and clinical variables associated with HPV-associated cancer survival.

METHODS

Data derived from the Surveillance, Epidemiology, and End Results 18 cancer registry were analyzed for a cohort of adult patients diagnosed with a first primary HPV-associated cancer (anal, cervical, oropharyngeal, penile, vaginal, and vulvar cancers), between 2007 and 2015. Multivariable Fine and Gray proportional hazards regression models stratified by anatomic site estimated the association of sociodemographic and clinical variables and cancer-specific survival.

RESULTS

A total of 77 774 adults were included (11 216 anal, 27 098 cervical, 30 451 oropharyngeal, 2221 penile, 1176 vaginal, 5612 vulvar; average age = 57.2 years). The most common HPV-associated cancer was cervical carcinoma (58%) for females and oropharyngeal (81%) for male. Among patients diagnosed with anal/rectal squamous cell carcinoma (SCC), males had a higher risk of death than females. NonHispanic (NH) blacks had a higher risk of death from anal/rectal SCC, oropharyngeal SCC, and cervical carcinoma; and Hispanics had a higher risk of death from oropharyngeal SCC than NH whites. Marital status was associated with risk of death for all anatomic sites except vulvar. Compared to nonMedicaid insurance, patients with Medicaid and uninsured had higher risk of death from anal/rectal SCC, oropharyngeal SCC, and cervical carcinoma.

CONCLUSIONS

There exists gender (anal) and racial and insurance (anal, cervical, and oropharyngeal) disparities in relative survival. Concerted efforts are needed to increase and sustain progress made in HPV vaccine uptake among these specific patient subgroups, to reduce cancer incidence.

Decreased overall survival in black patients with HPV-associated oropharyngeal cancer

PURPOSE

Racial disparities for overall survival (OS) in head and neck cancer have been well described. However, the extent to which these disparities exist for HPV-associated oropharyngeal squamous cell carcinoma (OPSCC), and the contribution of demographic, clinical, and socioeconomic status (SES) variables, is unknown.

MATERIALS AND METHODS

Patients were identified from the Carolina Head and Neck Cancer Epidemiology Study (CHANCE), a population-based study in North Carolina. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for OS in black versus white patients with sequential adjustment sets.

RESULTS

A total of 157 HPV-associated OPSCC patients were identified. Of these, 93% were white and 7% were black. Black patients with HPV-associated OPSCC were more likely to be younger, have an income <$20,000, live farther away from clinic where biopsy was performed, and have advanced T stage at diagnosis. Black patients had worse OS in the unadjusted analysis (HR 4.9, 95% CI 2.2-11.1, p < 0.0001). The racial disparity in OS slightly decreased when sequentially adjusting for demographic, clinical, and SES variables. However, HR for black race remained statistically elevated in the final adjustment set which controlled for age, sex, stage, smoking, alcohol use, and individual-level household income, insurance, and education level (HR 3.4, 95% CI 1.1-10.1, p = 0.028).

CONCLUSION

This is the first population-based study that confirms persistence of racial disparities in HPV-associated OPSCC after controlling for demographic, clinical, and individual-level socioeconomic factors.

A Comprehensive Analysis of Treatment Management and Survival Outcomes in Nasopharyngeal Carcinoma

OBJECTIVES

To comprehensively investigate nasopharyngeal carcinoma (NPC) treatment, overall survival (OS), and the influence of clinical/sociodemographic factors on outcome.

STUDY DESIGN

Retrospective database study.

SETTING

National Cancer Database.

METHODS

The 2004-2015 National Cancer Database was queried for all patients with NPC receiving definitive treatment. Log-rank tests and Cox proportional hazards models were used for statistical analyses.

RESULTS

A total of 8260 patients with NPC were included (71.4% male; 42.5% with keratinizing histology; mean ± SD age, 52.1 ± 15.1 years), with a 5-year OS of 63.4%. Multivariate predictors of mortality included age ≥65 years (hazard ratio [HR], 1.81; P < .001), Charlson/Deyo score ≥1 (HR, 1.27; P = .001), American Joint Committee on Cancer clinical stage III to IV (HR, 1.85; P < .001), and government insurance or no insurance (HR, 1.53; P < .001). Predictors of survival included female sex (HR, 0.82; P = .002), Asian/Pacific Islander race (HR, 0.74; P < .001), nonkeratinizing/undifferentiated histology (HR, 0.79; P = .004), and receiving treatment at academic centers (HR, 0.87; P = .02). Chemoradiotherapy (CRT) demonstrated improved OS as compared with radiotherapy (RT) only for stage II (P = .006) and stage III (P = .005) and with RT or chemotherapy only in stage IVA NPC (P < .001). When compared with CRT alone, surgery plus CRT provided OS benefits in keratinizing (P = .013) or stage IVA (P = .030) NPC. When compared with RT, CRT provided OS benefits in keratinizing (P = .005) but not nonkeratinizing (P = .240) or undifferentiated (P = .390) NPC. Substandard radiation dosing of <60 Gy and <30 fractions were associated with inferior OS (both P < .001).

CONCLUSIONS

NPC survival is dependent on a variety of clinical/sociodemographic factors. Stage-specific treatments with optimal OS include CRT or RT for stages I to II and CRT for stage III to IV. The large representation of nonendemic histology is valuable, as these cases are not well characterized.

Socioeconomic Status Drives Racial Disparities in HPV-negative Head and Neck Cancer Outcomes

OBJECTIVES/HYPOTHESIS

To determine drivers of the racial disparity in stage at diagnosis and overall survival (OS) between black and white patients with HPV-negative head and neck squamous cell carcinoma (HNSCC).

STUDY DESIGN

Retrospective cohort study.

METHODS

Data were examined from of a population-based HNSCC study in North Carolina. Multivariable logistic regression and Cox proportional hazards models were used to assess racial disparities in stage at diagnosis and OS with sequential adjustment sets.

RESULTS

A total of 340 black patients and 864 white patients diagnosed with HPV-negative HNSCC were included. In the unadjusted model, black patients had increased odds of advanced T stage at diagnosis (OR 2.0; 95% CI [1.5-2.5]) and worse OS (HR 1.3, 95% CI 1.1-1.6) compared to white patients. After adjusting for age, sex, tumor site, tobacco use, and alcohol use, the racial disparity persisted for advanced T-stage at diagnosis (OR 1.7; 95% CI [1.3-2.3]) and showed a non-significant trend for worse OS (HR 1.1, 95% CI 0.9-1.3). After adding SES to the adjustment set, the association between race and stage at diagnosis was lost (OR: 1.0; 95% CI [0.8-1.5]). Further, black patients had slightly favorable OS compared to white patients (HR 0.8, 95% CI [0.6-1.0]; P = .024).

CONCLUSIONS

SES has an important contribution to the racial disparity in stage at diagnosis and OS for HPV-negative HNSCC. Low SES can serve as a target for interventions aimed at mitigating the racial disparities in head and neck cancer.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:1301-1309, 2021.

The effect of race in head and neck cancer: A meta-analysis controlling for socioeconomic status

PURPOSE

To investigate the association between race and ethnicity and prognosis in head and neck cancers (HNC), while controlling for socioeconomic status (SES).

MATERIALS AND METHODS

Medline, Scopus, EMBASE, and the Cochrane Library were used to identify studies for inclusion, from database inception till March 5th 2019. Studies that analyzed the role of race and ethnicity in overall survival (OS) for malignancies of the head and neck were included in this study. For inclusion, the study needed to report a multivariate analysis controlling for some proxy of SES (for example household income or employment status). Pooled estimates were generated using a random effects model. Subgroup analysis by tumor sub-site, meta-regression, and sensitivity analyses were also performed. RevMan 5.3, Meta Essentials, and OpenMeta[Analyst] were used for statistical analysis.

RESULTS

Ten studies from 2004 to 2019 with a total of 108,990 patients were included for analysis in this study. After controlling for SES, tumor stage, and treatment variables, blacks were found to have a poorer survival compared to whites (HR = 1.27, 95%CI: 1.18-1.36, p < 0.00001). Subgroup analysis by sub-site and sensitivity analysis agreed with the primary result. No differences in survival across sub-sites were observed. Meta-regression did not identify any factors associated with the pooled estimate.

CONCLUSIONS

In HNC, blacks have poorer OS compared to whites even after controlling for socioeconomic factors.

Role of physician density in predicting stage and survival for head and neck squamous cell carcinoma

BACKGROUND

Identifying and linking barriers to access to head and neck cancer care, specifically provider density, to stage of diagnosis and survival outcomes is important to serve as a foundation for policy interventions.

METHODS

Retrospective cohort study using patients with head and neck squamous cell (HNSCC) in the Surveillance, Epidemiology, and End Results (SEER) database from 2007 to 2016 and Area Resource File. Primary outcomes included stage of presentation and cancer-specific 5-year survival and relation to provider density.

RESULTS

The initial cohort consisted of 18 342 patients with oral cavity, 21 809 oropharyngeal, 15 860 laryngeal, and 2887 patients with hypopharyngeal malignancy. Non-Hispanic Black race and being uninsured increased the odds of presenting with advanced stage HNSCC and increased hazard of death. There was no significant and consistent association identified between Health Service Areas provider density and advanced stage at diagnosis or cancer-specific 5-year mortality.

CONCLUSIONS

Provider density of otolaryngologists and primary care physicians and dentists was not significantly associated with stage of presentation or cancer-specific survival for HNSCC while race and insurance status remained independent predictors for worse outcomes.

Tobacco exposure as a major modifier of oncologic outcomes in human papillomavirus (HPV) associated oropharyngeal squamous cell carcinoma

Background

The incidence of oropharyngeal squamous cell carcinoma (OPSCC) in the US is rapidly increasing, driven largely by the epidemic of human papillomavirus (HPV)-mediated OPSCC. Although survival for patients with HPV mediated OPSCC (HPV+ OPSCC) is generally better than that of patients with non-virally mediated OPSCC, this effect is not uniform. We hypothesized that tobacco exposure remains a critical modifier of survival for HPV+ OPSCC patients.

Methods

We conducted a retrospective analysis of 611 OPSCC patients with concordant p16 and HPV testing treated at a single institute (2002–2013). Survival analysis was performed using Kaplan-Meier analysis and Cox regression. Recursive partitioning analysis (RPA) was used to define tobacco exposure associated with survival (p < 0.05).

Results

Tobacco exposure impacted overall survival (OS) for HPV+ patients on univariate and multivariate analysis (p = 0.002, p = 0.003 respectively). RPA identified 30 pack-years (PY) as a threshold at which survival became significantly worse in HPV+ patients. OS and disease-free survival (DFS) for HPV+ > 30 PY patients didn’t differ significantly from HPV- patients (p = 0.72, p = 0.27, respectively). HPV+ > 30 PY patients had substantially lower 5-year OS when compared to their ≤30 PYs counterparts: 78.4% vs 91.6%; p = 0.03, 76% vs 88.3%; p = 0.07, and 52.3% vs 74%; p = 0.05, for stages I, II, and III (AJCC 8th Edition Manual), respectively.

Conclusions

Tobacco exposure can eliminate the survival benefit associated with HPV+ status in OPSCC patients. Until this effect can be clearly quantified using prospective datasets, de-escalation of treatment for HPV + OPSCC smokers should be avoided.

Identification of Clinical and Socioeconomic Predictors of Adjuvant Therapy after Trans-Oral Robotic Surgery in Patients with Oropharyngeal Squamous Cell Carcinoma

Simple Summary

Treatment of oropharynx cancers usually requires radiation, chemotherapy, surgery, or a combination of all three. Although these treatments are effective, they can cause both short- and long-term side effects, particularly when more than one treatment option is used. Robotic surgery is now an option for patients with oropharynx cancers, but it is not clear how many patients will require additional treatment with radiation, or combined chemotherapy and radiation, after surgical treatment. In this study we used a large national database of oropharynx cancer patients and found that two-thirds of patients who were treated with robotic surgery required radiation therapy and one-third required chemotherapy with radiation. In addition, we found that the true tumor stage of the patients in this study was often higher than was initially thought prior to surgery. Finally, patients treated at high volume surgical centers were more likely to have more of their tumor removed compared to those at low volume facilities. Better survival quality of oropharynx cancer patients could be achieved by improving pre-surgical selection of patients so that the number of treatment modalities is reduced.

Abstract

Trans-oral robotic surgery (TORS) has emerged as an important surgical treatment option in the management of human papillomavirus (HPV)-positive and -negative oropharynx cancer. However, treatment selection is paramount to ensure that patients will not require multimodality adjuvant therapy. In this study, we determined predictors of adjuvant therapy in TORS-treated patients. The National Cancer Database (NCDB) was used to identify patients with newly diagnosed clinical T1-T4, N0-N3 oropharyngeal squamous cell carcinoma who underwent TORS between 2010–2016. Kaplan–Meier survival analysis was used to estimate overall survival (OS). A total of 2999 patients were studied, and the five-year OS for the entire cohort was 82.5%, and for HPV-positive and -negative cohorts it was 88.3% and 67.9%, respectively (p < 0.001). Among all patients treated with TORS, 35.1% of patients received no additional treatment, 33.5% received adjuvant radiation alone (RT), and 31.3% received adjuvant chemoradiation. The N stage was pathologically upstaged in 629 (20.9%) patients after TORS. Patients treated at higher-volume centers were more likely to have negative surgical margins (OR: 0.96, 95% CI: 0.94, 0.98, p < 0.001), but this did not influence the receipt of adjuvant therapy. The high rate of adjuvant multimodality treatment after TORS suggests a need for improved patient selection. Limitations of this study, including lack of data on loco-regional control, progression free survival, acute and late toxicities, and utilization of pretreatment PET/CT imaging, should be addressed in future studies.

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.

Insurance Status as a Predictor of Treatment in Human Papillomavirus Positive Oropharyngeal Cancer

OBJECTIVES

The link between human papillomavirus (HPV) and oropharyngeal cancer (OPC) is well known. Locally advanced, HPV-positive OPC (HPV OPC) can be treated with either chemoradiation or primary surgery with or without adjuvant therapy. Head and neck cancer patients with government insurance or uninsured have been shown to have worse prognosis than similar patients with private insurance. In this study, we aimed to determine if insurance status would predict treatment modality in patients with HPV OPC.

STUDY DESIGN

A retrospective analysis using the National Cancer Database (NCDB).

METHODS

The National Cancer Database was used to identify patients with HPV OPC who underwent primary surgery or primary chemoradiation from 2010-2015. Insurance status was categorized as government, private, or no insurance. The relationship between insurance status and treatment was investigated using Chi square and multivariate regression models. Kaplan-Meier analyses were performed comparing overall survival (OS) by insurance status.

RESULTS

There were 10,606 patients were included. There was a statistically significant correlation between insurance status and primary treatment modality for HPV OPC (P < .001). Patients with government insurance were 19.3% less likely to undergo surgery and uninsured patients were 36.9% less likely to undergo primary surgery when compared to those with private insurance (P < .001), even after correcting for TNM stage in multivariate analysis. There was an improved 5-year OS for patients with private insurance (86.6%) versus both government insurance (68.4%) and no insurance (69.9%) (P < .001).

CONCLUSIONS

Patients with private insurance are more likely to undergo primary surgery in HPV OPC and have improved overall survival.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:776-781, 2021.

Impact of insurance on hospital course and readmission after resection of benign meningioma

INTRODUCTION

Surgical outcomes and healthcare utilization have been shown to vary based on patient insurance status. We analyzed whether patients' insurance affects case urgency for and readmission after craniotomy for meningioma resection, using benign meningioma as a model system to minimize confounding from the disease-related characteristics of other neurosurgical pathologies.

METHODS

We analyzed 90-day readmission for patients who underwent resection of a benign meningioma in the Nationwide Readmission Database from 2014-2015.

RESULTS

A total of 9783 meningioma patients with private insurance (46%), Medicare (39%), Medicaid (10%), self-pay (2%), or another scheme (3%) were analyzed. 72% of all cases were elective; with 78% of cases in privately insured patients being elective compared to 71% of Medicare (p > 0.05), 59% of Medicaid patients (OR 2.3, p < 0.001), and 49% of self-pay patients (OR 3.4, p < 0.001). Medicare (OR 1.5, p = 0.002) and Medicaid (OR 1.4, p = 0.035) were both associated with higher likelihood of 90-day readmission compared to private insurance. In comparison, 30-day analyses did not unveil this discrepancy between Medicaid and privately insured, highlighting the merit for longer-term outcomes analyses in value-based care. Patients readmitted within 30 days versus those with later readmissions possessed different characteristics.

CONCLUSIONS

Compared to patients with private insurance coverage, Medicaid and self-pay patients were significantly more likely to undergo non-elective resection of benign meningioma. Medicaid and Medicare insurance were associated with a higher likelihood of 90-day readmission; only Medicare was significant at 30 days. Both 30 and 90-day outcomes merit consideration given differences in readmitted populations.

State Medicaid expansion status, insurance coverage and stage at diagnosis in head and neck cancer patients

OBJECTIVES

Only one in three head and neck cancer (HNC) patients present with early-stage disease. We aimed to quantify associations between state Medicaid expansions and changes in insurance coverage rates and stage at diagnosis of HNC.

METHODS

Using a quasi-experimental difference-in-differences (DID) approach and data from 26,330 cases included in the Surveillance, Epidemiology, and End Results program (2011-2015), we retrospectively examined changes in insurance coverage and stage at diagnosis of adult HNC in states that expanded Medicaid (EXP) versus those that did not (NEXP).

RESULTS

There was a significant increase in Medicaid coverage in EXP (+1.6 percentage point (PP) versus) vs. NEXP (-1.8 PP) states (3.36 PP, 95% CI = 1.32, 5.41; p = 0.001), and this increase was mostly among residents of low income and education counties. We also observed a reduction in uninsured rates among HNC patients in low income counties (-4.17 PP, 95% CI = -6.84, -1.51; p = 0.002). Overall, early stage diagnosis rates were 28.3% (EXP) vs. 26.7% (NEXP), with significant increases in early stage diagnosis post-Medicaid expansion among young adults, 18-34 years (17.2 PP, 95% CI - 1.34 to 33.1, p = 0.034), females (7.54 PP, 95% CI = 2.00 to 13.10, p = 0.008), unmarried patients (3.83 PP, 95% CI = 0.30-7.35, p = 0.033), and patients with lip cancer (13.5 PP, 95% CI = 2.67-24.3, p = 0.015).

CONCLUSIONS

Medicaid expansion is associated with improved insurance coverage rates for HNC patients, particularly those with low income, and increases in early stage diagnoses for young adults and women.

The Affordable Care Act: Implications for underserved populations with head & neck cancer

PURPOSE

This study was done to determine the direct impact implementation of the Affordable Care Act (ACA) on patients with Head and Neck Cancer (HNCA) in states that chose to expand Medicaid compared to in states that did not, as well as assess whether this impact varied among different demographic groups.

MATERIALS AND METHODS

The Surveillance, Epidemiology, and End Results (SEER) database was queried for cases of HNCA diagnosed from 2011 to 2014. Rates of uninsured status were compared before and after Medicaid expansion and contrasted between states that did and did not expand coverage, stratified by patient and tumor characteristics, and assessed via multivariate regression.

RESULTS

Overall rates of uninsured status (UR) were decreased by 63.08% in states that expanded coverage (ES) but only by 2.6% in states that did not (NS). In NS, there was an increase in proportion of black patients who were uninsured over the study period (13.7%, p = 0.077) whereas in ES, this proportion decreased by 73.3%. When stratified by primary site, patients with laryngeal cancer had the highest UR with an increase by 16.7% in NS and a decrease by 70.5% in ES. Multivariate analysis yielded predictors of uninsured status including residence in a NS, Hispanic ethnicity, and black race.

CONCLUSIONS

Implementation of the ACA resulted in expanded insurance coverage for patients diagnosed with HNCA concentrated mainly in states that expanded Medicaid coverage and for patients derived from vulnerable populations, including black and Hispanic patients. In states that did not expand Medicaid, vulnerable populations were disproportionately affected.

Change in stage of presentation of head and neck cancer in the United States before and after the affordable care act

OBJECTIVE/HYPOTHESIS

Early diagnosis and stage at presentation, two prognostic factors for survival among patients with head and neck cancer (HNC), are significantly impacted by a patient's health insurance status. We aimed to assess the impact of the Patient Protection and Affordable Care Act (ACA) on stage at presentation across socioeconomic and demographic subpopulations of HNC patients in the United States.

STUDY DESIGN

Retrospective data analysis.

METHODS

The National Cancer Database, a hospital-based cancer database (2011-2015), was queried for adults aged 18-64 years and diagnosed with a malignant primary HNC. The outcome of interest was change in early-stage diagnoses between 2011-2013 (pre-ACA) and 2014-2015 (post-ACA) using logistic regression models.

RESULTS

A total of 91,137 HNC cases were identified in the pre-ACA (n = 53,726) and post-ACA (n = 37,411) years. Overall, the odds of early-stage diagnoses did not change significantly post-ACA (aOR = 0.97, 95 % CI 0.94, 1.00; p = 0.081). However, based on health insurance status, HNC patients with Medicaid were significantly more likely to present with early-stage disease post-ACA (aOR = 1.12, 95 % CI 1.03, 1.21; p = 0.007). We did not observe increased odds of early-stage presentation for other insurance types. Males were less likely to present with early-stage disease, pre- or post-ACA.

CONCLUSIONS

We demonstrate a significant association between ACA implementation and increased early-stage presentation among Medicaid-enrolled HNC patients. This suggests that coverage expansions through the ACA may be associated with increased access to care and may yield greater benefits among low-income HNC patients.

Development of cancer after bariatric surgery

BACKGROUND

Although bariatric surgery has been associated with a reduction in risk of obesity-related cancer, data on the effect of bariatric interventions on other cancers are limited.

OBJECTIVES

This study aimed to examine the relationship between bariatric interventions and the incidence of various cancers after bariatric surgery.

SETTING

Administrative statewide database.

METHODS

The New York Statewide Planning and Research Cooperative System database was used to identify all adult patients diagnosed with obesity between 2006 and 2012 and patients who underwent bariatric procedures without preexisting cancer diagnosis and alcohol or tobacco use. Subsequent cancer diagnoses were captured up to 2016. Multivariable proportional subdistribution hazard regression analysis was performed to compare the risk of having cancer among obese patients with and without bariatric interventions.

RESULTS

We identified 71,000 patients who underwent bariatric surgery and 323,197 patients without a bariatric intervention. Patients undergoing bariatric surgery were less likely to develop both obesity-related cancer (hazard ratio.91; 95% confidence interval, .85-.98; P = .013) and other cancers (hazard ratio .81; 95% confidence interval, .74-.89; P < .0001). Patients undergoing Roux-en-Y gastric bypass had a lower risk of developing cancers that are considered nonobesity related (hazard ratio .59; 95% confidence interval, .42-.83; P = .0029) compared with laparoscopic sleeve gastrectomy.

CONCLUSIONS

Bariatric surgery is associated with a decreased risk of obesity-related cancers. More significantly, we demonstrated the relationship between bariatric surgery and the reduction of the risk of some previously designated nonobesity-related cancers, as well. Reclassification of nonobesity-related cancers and expansion of bariatric indications for reducing the risk of cancer may be warranted.

Sociodemographic correlates of head and neck cancer survival among patients with metastatic disease

BACKGROUND

To describe sociodemographic factors associated with head and neck cancer (HNC) survival among patients with distant metastatic disease.

METHODS

We retrospectively analyzed national data for 2889 adult patients with metastatic HNC (2007-2015). We used Fine and Gray competing risks proportional hazard models, stratified by oropharyngeal cancer status, controlled for sociodemographic factors (age, sex, race/ethnicity, marital status, and insurance status), and accounted for multiple testing.

RESULTS

Median survival time was 11 months (15 months for patients married/partnered; 13 months for patients with non-Medicaid insurance; P < .01). Among patients with oropharyngeal cancer, being married/partnered was associated with lower mortality hazard (sdHR_{divorced/separated} = 1.37, 97.5% confidence interval [CI] = 1.07, 1.75; and sdHR_{never married} = 1.43, 97.5% CI = 1.14, 1.80), as was having non-Medicaid insurance (sdHR_uninsured = 1.44, 97.5% CI = 1.02, 2.04).

CONCLUSIONS

Health insurance and marital status are sociodemographic factors associated with survival among HNC patients with distant metastatic disease, especially in oropharyngeal cases.

Association of Patient Demographic Characteristics and Insurance Status With Survival in Cancer Randomized Clinical Trials With Positive Findings

IMPORTANCE

Few new treatments tested in phase 3 cancer randomized clinical trials show an overall survival benefit. Although understanding whether the benefits are consistent among all patient groups is critical for informing guideline care, individual trials are designed to assess the benefits of experimental treatments among all patients and are too small to reliably determine whether treatment benefits apply to demographic or insurance subgroups.

OBJECTIVE

To systematically examine whether positive treatment effects in cancer randomized clinical trials apply to specific demographic or insurance subgroups.

DESIGN, SETTING, AND PARTICIPANTS

Cohort study of pooled patient-level data from 10 804 patients in SWOG Cancer Research Network clinical treatment trials reported from 1985 onward with superior overall survival for those receiving experimental treatment. Patients were enrolled from 1984 to 2012. Maximum follow-up was 5 years.

MAIN OUTCOMES AND MEASURES

Interaction tests were used to assess whether hazard ratios (HRs) for death comparing standard group vs experimental group treatments were associated with age (≥65 vs <65 years), race/ethnicity (minority vs nonminority populations), sex, or insurance status among patients younger than 65 years (Medicaid or no insurance vs private insurance) in multivariable Cox regression frailty models. Progression- or relapse-free survival was also examined. Data analyses were conducted from August 2019 to February 2020.

RESULTS

In total, 19 trials including 10 804 patients were identified that reported superior overall survival for patients randomized to experimental treatment. Patients were predominantly younger than 65 years (67.3%) and female (66.3%); 11.4% were black patients, and 5.7% were Hispanic patients. There was evidence of added survival benefits associated with receipt of experimental therapy for all groups except for patients with Medicaid or no insurance (HR, 1.23; 95% CI, 0.97-1.56; P = .09) compared with those with private insurance (HR, 1.66; 95% CI, 1.44-1.92; P < .001; P = .03 for interaction). Receipt of experimental treatment was associated with reduced added overall survival benefits in patients 65 years or older (HR, 1.21; 95% CI, 1.11-1.32; P < .001) compared with patients younger than 65 years (HR, 1.41; 95% CI, 1.30-1.53; P < .001; P = .01 for interaction), although both older and younger patients appeared to strongly benefit from receipt of experimental treatment. The progression- or relapse-free survival HRs did not differ by age, sex, or race/ethnicity but differed between patients with Medicaid or no insurance (HR, 1.32; 95% CI, 1.06-1.64; P = .01) vs private insurance (HR, 1.74; 95% CI, 1.54-1.97; P < .001; P = .03 for interaction).

CONCLUSIONS AND RELEVANCE

Patients with Medicaid or no insurance may have smaller added benefits from experimental therapies compared with standard treatments in clinical trials. A better understanding of the quality of survivorship care that patients with suboptimal insurance receive, including supportive care and posttreatment care, could help establish how external factors may affect outcomes for these patients.

Impact of Insurance Status on Survival in Gastroenteropancreatic Neuroendocrine Tumors

BACKGROUND

Insurance status predicts access to medical care in the USA. Previous studies have shown uninsured patients with some malignancies have worse outcomes than insured patients. The impact of insurance status on patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is unclear.

PATIENTS AND METHODS

A retrospective cohort study of adult patients with resected GEP-NETs was performed using the US Neuroendocrine Tumor Study Group (USNETSG) database (2000-2016). Demographic and clinical factors were compared by insurance status. Patients ≥ 65 years were excluded, as these patients are almost universally covered by Medicare. Kaplan-Meier and log-rank analyses were used for survival analysis. Logistic regression was used to assess factors associated with overall survival (OS).

RESULTS

The USNETSG database included 2022 patients. Of those, 1425 were aged 18-64 years at index operation and were included in our analysis. Uninsured patients were more likely to have an emergent operation (7.9% versus 2.5%, p = 0.01) and less likely to receive postoperative somatostatin analog therapy (1.6% versus 9.9%, p = 0.03). OS at 1, 5, and 10 years was significantly higher for insured patients (96.3%, 88.2%, and 73.8%, respectively) than uninsured patients (87.7%, 71.9%, and 44.0%, respectively) (p < 0.01). On Cox multivariate regression analysis controlling for T/M stage, tumor grade, ASA class, and income level, being uninsured was independently associated with worse OS [hazard ratio (HR) 2.69, 95% confidence interval (CI) 1.32-5.48, p = 0.006].

CONCLUSIONS

Insurance status is an independent predictor of survival in patients with GEP-NETs. Our study highlights the importance of access to medical care, disparities related to insurance status, and the need to mitigate these disparities.

Association of Surgical and Hospital Volume and Patient Characteristics With 30-Day Readmission Rates

Importance

Thirty-day readmission rates have been suggested as a marker for quality of care. By investigating the factors associated with readmissions in all otolaryngology subspecialties we provide data relevant for the development of risk stratification systems to improve outcomes.

Objective

To establish the association of surgical and hospital volume and patient characteristics with 30-day readmission rates to guide the development of otolaryngology-specific risk stratification models.

Design, Setting, and Participants

A retrospective cohort study including adult patients who underwent inpatient otolaryngology surgery in New York State between 1995 and 2015 was conducted using the Statewide Planning and Research Cooperative System (SPARCS). Regression techniques were used to describe relationships of patient-level factors, hospital, and surgeon volume to 30-day readmission rates in New York State.

Main Outcomes and Measures

The main outcome measures were patient-, surgeon-, and hospital-level risk factors for readmission. Secondary outcome measures were rate of readmissions by subspecialty procedure and by diagnosis on readmission.

Results

We identified 254 257 cases of otolaryngology surgery (147 065 women [58%], mean [SD] age 50 [17] years). The 30-day readmission rate was 6%. In a multivariable model, odds ratios (ORs) identified Medicaid insurance (OR, 1.46; 99% CI, 1.36-1.57), Medicare insurance (OR, 1.32; 99% CI, 1.24-1.42), bottom quartile income (OR, 1.08; 99% CI, 1.01-1.15), patient comorbidities measured by the Charlson Comorbidity Index (CCI) (CCI >1; OR, 2.31; 99% CI, 2.16-2.47), length of stay (LOS) (LOS >10 days; OR, 2.29; 99% CI, 2.00-2.45), rhinology (OR, 1.37; 99% CI, 1.24-1.51), laryngology (OR, 1.98; 99% CI, 1.62-2.43), and head and neck cancer (OR, 1.27; 99% CI, 1.17-1.37) procedures as readmission predictors. High-volume surgeons were protective of 30-day readmission (OR, 0.67; 99% CI, 0.635-0.708) relative to low volume. Hospital volume was not significantly associated to readmissions. The most common causes of readmission included wound- (2682 patients, 18%), respiratory- (1776 patients, 12%), cardiovascular- (1210 patients, 8%), and volume- (1089 patients, 7%) related disorders.

Conclusions and Relevance

This study evaluated the combined effects of patient-, surgeon-, and hospital-level factors on 30-day readmission after otolaryngology surgery. Socioeconomic factors, patient comorbidities, surgeon volumes, and procedure were significantly associated with 30-day readmission. Though the cause of 30-day readmission is multifactorial, a large portion is driven by socioeconomic factors. Addressing these disparities at the system level is necessary to address the described readmission disparities. The development of risk-stratification models based on patient-, procedure-, and surgeon-level factors may help facilitate resource distribution.

Macroeconomic environment and insurance-mortality relationship: An analysis of gender-based disparity among non-elderly adult patients of melanoma and lung cancer

OBJECTIVE

Cancer patients exhibit disparity in mortality risks across demographic divisions as well as insurance groups. The effects of macroeconomic environment also vary for such strata. This study analyses the gaps between mortality risks for male and female cancer patients with and without insurance and examines how such gaps transform over time with macroeconomic shifts.

METHODS

Demographic, clinical and treatment records of 45,750 melanoma and 91,157 lung cancer patients diagnosed in 2007-2009 and 2011-2013 were extracted from Surveillance, Epidemiology and End Results (SEER) database. Kaplan-Meier test was applied to ascertain survival probability of each insurance group, while Cox proportional hazard model was used to assess relative mortality risk for Medicaid and uninsured patients, for the whole data as well as separately for both time periods and genders.

RESULTS

Both the hazard ratios and change thereof over time are greater for female patients without insurance, than for male patients. More than any insurance-gender subgroup, uninsured female patients of melanoma have much increased hazard ratios, from 1.41 [95% confidence interval (CI), 1.04-1.92] to 2.22 [95% CI, 1.67-2.94].

CONCLUSION

Despite diagnostic improvements and technology advancements, the adverse effects of macroeconomic crisis are associated with increased relative mortality risks for cancer patients without insurance, more for women than men.

Association of Race/Ethnicity, Stage, and Survival in Oral Cavity Squamous Cell Carcinoma: A SEER Study

Objective

Survival differences in oral cancer between black and white patients have been reported, but the contributing factors, especially the role of stage, are incompletely understood. Furthermore, the outcomes for Hispanic and Asian patients have been scarcely examined.

Study Design

Retrospective, population-based national study.

Setting

Surveillance, Epidemiology, and End Results 18 Custom database (January 1, 2010, to December 31, 2014).

Subjects and Methods

In total, 7630 patients with primary squamous cell carcinoma in the oral cavity were classified as non-Hispanic white (white), non-Hispanic black (black), Hispanic, or Asian. Cox regression was used to obtain unadjusted and adjusted hazard ratios (HRs) of 5-year mortality for race/ethnicity with sequential adjustments for stage and other covariates. Logistic regression was used to examine the relationship between race/ethnicity and stage with adjusted odds ratios (aORs).

Results

The cohort consisted of 75.0% whites, 7.6% blacks, 9.1% Hispanics, and 8.3% Asians. Compared to whites, the unadjusted HR for all-cause mortality for blacks was 1.68 (P < .001), which attenuated to 1.15 (P = .039) after adjusting for stage and became insignificant after including insurance. The unadjusted HRs for all-cause mortality were not significant for Hispanics and Asians vs whites. Compared to whites, blacks and Hispanics were more likely to present at later stages (aORs of 2.63 and 1.42, P < .001, respectively).

Conclusion

The greater mortality for blacks vs whites was largely attributable to the higher prevalence of later stages at presentation and being uninsured among blacks. There was no statistically significant difference in mortality for Hispanics vs whites or Asians vs whites.

Socio-demographic characteristics are related to the advanced clinical stage of oral cancer

BACKGROUND

Social determinants may be associated with the onset and progression of the clinical stage of oral cancer.

AIM

To evaluate the impact of socio-demographic characteristics on the prevalence of advanced clinical stage of oral cancer.

MATERIAL AND METHODS

Information about 51,116 cases of oral cancer, from all Brazilian states, between 2000 and 2012, was obtained from the Cancer Registry Information System. The clinical stage of oral cancer (dependent variable) was classified as initial (stages I and II) or advanced (stages III and IV). The relationship between the clinical stage of oral cancer and the following independent variables was analyzed: sex, age, schooling, marital status, family history of cancer, and origin of referral. Analyses on frequency distribution and multivariate binary logistic regression model were performed (α<0.05).

RESULTS

Compared to individuals with no schooling, those who attended elementary to high school (OR=2.461) and college education (OR = 3.050) had a higher prevalence of advanced cases of oral cancer. Individuals without a partner (OR = 14,209) demonstrated a higher prevalence compared to married individuals. Subjects aged 20-44 years (OR = 4.081) and 45-64 years (OR = 14.875) had a higher prevalence compared to those aged 15-19 years. The variables gender, family history of cancer and origin of referral integrated the binary model of logistic regression, but did not present statistical significance.

CONCLUSIONS

Socioeconomic factors may be related to the advanced clinical stage of oral cancer.

Social Determinants of Health and Oral Cavity Cancer Treatment and Survival: A Competing Risk Analysis

OBJECTIVE

Competing risk analysis is a powerful assessment for cancer risk factors and covariates. This method can better elucidate insurance status and other social determinants of health covariates in oral cavity cancer treatment, survival, and disparities.

STUDY DESIGN

Retrospective cohort study using the Surveillance, Epidemiology, and End Results (SEER) database.

METHODS

Data regarding patient characteristics, clinical stage at diagnosis, treatment, and survival data for 20,271 patients diagnosed with oral cavity cancer was extracted from the SEER 18 Regs Research Data including Hurricane Katrina Impacted Louisiana Cases from 1973 to 2014. All statistical analyses were performed using SAS 9.5 (SAS Institute Inc., Cary, NC). The Fine-Gray method for assessing impact, risk, and covariates was employed.

RESULTS

Medicaid patients presented with later stage disease, larger tumor size, more distant metastases, and more lymph node involvement at diagnosis compared to insured patients. Medicaid patients were less likely to receive cancer-directed surgery. Medicaid status was also associated with worse cancer-specific survival (subhazard ratios 1.87, 95% confidence interval 1.72-2.04, P < .0001) after adjustment for all covariates.

CONCLUSION

This is the first study examining specifically how Medicaid status and social determinants of health covariates impact oral cavity cancer treatment and outcomes and is the first using methods validated for complex covariates. Patients with Medicaid present with more extensive oral cavity disease burden are less likely to receive definitive therapy and have significantly worse overall survival than those with other forms of insurance. This better identifies disparities and the need for improving health literacy, specifically for the at-risk Medicaid population, and can guide clinicians.

LEVEL OF EVIDENCE

NA Laryngoscope, 130:2160-2165, 2020.

The impact of underinsurance on bladder cancer diagnosis, survival, and care delivery for individuals under the age of 65 years

BACKGROUND

Health insurance is a key mediator of health care disparities. Outcomes in bladder cancer, one of the costliest diseases to treat, may be especially sensitive to a patient's insurance status.

METHODS

The Surveillance, Epidemiology, and End Results registry and the National Cancer Data Base were used to identify individuals younger than 65 years who were diagnosed with bladder cancer from 2007 to 2014. The associations between the insurance status (privately insured, insured by Medicaid, or uninsured) and the following outcomes were evaluated: diagnosis with advanced disease, cancer-specific survival, delay in treatment longer than 90 days, treatment in a high-volume hospital, and receipt of neoadjuvant chemotherapy (NAC).

RESULTS

Compared with those with private insurance, uninsured and Medicaid-insured individuals were nearly twice as likely to receive a diagnosis of muscle-invasive bladder cancer (odds ratio [OR] for uninsured individuals, 1.90; 95% confidence interval [CI], 1.70-2.12; OR for Medicaid-insured individuals, 2.03; 95% CI, 1.87-2.20). They were also more likely to die of bladder cancer (adjusted hazard ratio [AHR] for uninsured individuals, 1.49; 95% CI, 1.31-1.71; AHR for Medicaid-insured individuals, 1.61; 95% CI, 1.46-1.79). Delays in treatment longer than 90 days were more likely for uninsured (OR, 1.36; 95% CI, 1.12-1.65) and Medicaid-insured individuals (OR, 1.22; 95% CI, 1.03-1.44) in comparison with the privately insured. Uninsured patients had lower odds of treatment at a high-volume facility, and Medicaid-insured patients had lower odds of receiving NAC (P < .001 for both).

CONCLUSIONS

Compared with privately insured individuals, uninsured and Medicaid-insured individuals experience worse prognoses and poorer care quality. Expanding high-quality insurance coverage to marginalized populations may help to reduce the burden of this disease.

Association of the Patient Protection and Affordable Care Act With Insurance Coverage for Head and Neck Cancer in the SEER Database

Importance

Patients with head and neck squamous cell cancer (HNSCC) are often uninsured or underinsured at the time of their diagnosis. This access to care has been shown to influence treatment decisions and survival outcomes.

Objective

To examine the association of the Patient Protection and Affordable Care Act (ACA) health care legislation with rates of insurance coverage and access to care among patients with HNSCC.

Design, Setting, and Participants

Prospectively gathered data from the Surveillance, Epidemiology, and End Results (SEER) database were used to examine rates of insurance coverage and access to care among 89 038 patients with newly diagnosed HNSCC from January 2007 to December 2014. Rates of insurance were compared between states that elected to expand Medicaid coverage in 2014 and states that opted out of the expansion. Statistical analysis was performed from January 1, 2007, to December 31, 2014.

Main Outcomes and Measures

Rates of insurance coverage and disease-specific and overall survival.

Results

Among 89 038 patients newly diagnosed with HNSCC (29 384 women and 59 654 men; mean [SD] age, 59.8 [7.6] years), there was an increase after implementation of the ACA in the percentage of patients enrolled in Medicaid (16.2% after vs 14.8% before; difference, 1.4%; 95% CI, 1.1%-1.7%) and private insurance (80.7% after vs 78.9% before; difference, 1.8%; 95% CI, 1.2%-2.4%). In addition, there was a large decrease in the rate of uninsured patients after implementation of the ACA (3.0% after vs 6.2% before; difference, 3.2%; 95% CI, 2.9%-3.5%). This decrease in the rate of uninsured patients and the associated increases in Medicaid and private insurance coverage were only different in the states that adopted the Medicaid expansion in 2014. No survival data are available after implementation of the ACA, but prior to that point, from 2007 to 2013, uninsured patients had reduced 5-year overall survival (48.5% vs 62.5%; difference, 14.0%; 95% CI, 12.8%-15.2%) and 5-year disease-specific survival compared with insured patients (56.6% vs 72.2%; difference, 15.6%; 95% CI, 14.0%-17.2%).

Conclusions and Relevance

Access to health care for patients with HNSCC was improved after implementation of the ACA, with an increase in rates of both Medicaid and private insurance and a 2-fold decrease in the rate of uninsured patients. These outcomes were demonstrated only in states that adopted the Medicaid expansion in 2014. Uninsured patients had poorer survival outcomes.

Vitamin D deficiency and its relationship to cancer stage in patients who underwent thyroidectomy for papillary thyroid carcinoma

PURPOSE

As imaging technology improves and more thyroid nodules and malignancies are identified, it is important to recognize factors associated with malignancy and poor prognosis. Vitamin D has proven useful as a prognostic tool for other cancers and may be similarly useful in thyroid cancer. This study explores the relationship of Vitamin D to papillary thyroid carcinoma stage while accounting for socioeconomic covariates.

MATERIALS AND METHODS

The medical records of all patients who underwent thyroidectomy at one institution between 2000 and 2015 were reviewed. Subjects with non-papillary thyroid cancer pathology, prior malignancy, and without Vitamin D levels were excluded. The remaining 334 patient records were examined for cancer stage, Vitamin D levels, Vitamin D deficiency listed in history, and demographic and comorbid factors.

RESULTS

Vitamin D laboratory values showed no significant relationship to cancer stage (p = 0.871), but patients with Vitamin D deficiency documented in the medical record were more likely to have advanced disease (28.6% versus 14.7%; p = 0.028). The patients with documented Vitamin D deficiency also had lower 25-hydroxyvitamin D nadirs (21.5 ng/mL versus 26.5 ng/mL, p = 0.008) and were more likely to be on Vitamin D supplementation (92.6% versus 41.8%, p < 0.001).

CONCLUSIONS

The results suggest that Vitamin D deficiency may have value as a negative prognostic indicator in papillary thyroid cancer and that pre-operative laboratory evaluation may be less useful. This is important because Vitamin D deficiency is modifiable. While different racial subgroups had different rates of Vitamin D deficiency, neither race nor socioeconomic status showed correlation with cancer stage.

Cost of treating recurrent respiratory papillomavirus in commercially insured and medicaid patients

OBJECTIVES

The study objective was to estimate the first 2 years' direct costs of treating new cases of juvenile-onset and adult-onset recurrent respiratory papillomatosis (RRP) and determine the predictors of treatment costs.

METHODS

Cases were patients diagnosed with RRP in commercial insurance claims in 2011-2014 and Texas Medicaid in 2008-2012 for treatment of RRP. Controls were patients without a diagnosis of HPV-related cancer or RRP, matched with cases by age, sex, geographic area, date of diagnosis of RRP, and propensity score. Total health care costs in the first 2 years after diagnosis were obtained from cases and matched controls. A generalized linear model was created to identify predictors of monthly costs.

RESULTS

In commercially insured patients, a total of 122 cases of juvenile-onset (<18 years old) and 1824 cases of adult-onset (≥18 years old) RRP were identified. The mean first 2 years' cost difference between cases and controls was $58,733 for juvenile-onset disease and $11,185 for adult-onset disease after model adjustments. In the Texas Medicaid population, 73 cases of juvenile-onset and 96 cases of adult-onset RRP were identified. The mean first 2 years' cost difference between cases and controls was $76,115 for juvenile-onset disease and $4,633 for adult-onset disease after model adjustments.

CONCLUSION

The first 2 years' medical costs difference of juvenile-onset and adult-onset RRP among commercially insured and Medicaid population were approximately $60,000 to $70,000 and $5,000 to $11,000, respectively, and should be considered in HPV vaccination promotion investment decisions.

LEVEL OF EVIDENCE

N/A Laryngoscope, 130:1186-1194, 2020.

Influence of Socioeconomic Status on Stage at Presentation of Laryngeal Cancer in the United States

Objective

Identify socioeconomic predictors of stage at diagnosis of laryngeal cancer in the United States.

Study Design

Retrospective analysis of the North American Association of Central Cancer Registries’ Incidence Data–Cancers in North America Deluxe Analytic File for expanded races.

Setting

All centers reporting to the US Centers for Disease Control and Prevention’s National Program of Cancer Registries.

Subjects and Methods

All cases of laryngeal cancer in adult patients from 2005 to 2013 were reviewed. Ordinal logistic regression models were used to evaluate odd ratios (ORs) for socioeconomic indicators potentially predictive of advancing American Joint Committee on Cancer stage at diagnosis.

Results

A total of 72,472 patients were identified and included. Analysis revealed significant correlation between advanced stage at diagnosis and: Medicaid insurance, lack of insurance, female sex, older age, black race, and certain states of residence. The strongest predictor of advanced stage was lack of insurance (OR, 2.212; P < .001; 95% CI, 2.035-2.406). The strongest protective factor was residing in the state of Utah (OR, 0.571; P < .001; 95% CI, 0.536-0.609). Once adjusted for regional price and wage disparities, relative income was not a significant predictor of stage at presentation across multiple analyses.

Conclusion

Multiple socioeconomic factors were predictive of severity of disease at presentation of laryngeal cancer in the United States. This study demonstrated that insurance type was strongly predictive, whereas relative income had surprisingly little influence.

The Impact of the Affordable Care Act on Disparities in Private and Medicaid Insurance Coverage Among Patients Under 65 With Newly Diagnosed Cancer

PURPOSE

To investigate the impact of the Affordable Care Act on racial and rural-urban disparities in insurance coverage for patients under age 65 with cancer.

METHODS AND MATERIALS

Using the Surveillance, Epidemiology, and End Results data from 2011 to 2015, we calculated the proportions of uninsured, Medicaid, and non-Medicaid insured (including private insurance) patients before and after the Medicaid expansion. We calculated the absolute percent change and difference in differences (DiD) to evaluate whether the Medicaid expansion had an impact on the distribution of types of insurance. Adjusted DiD analyses accounted for age, race, sex, county-level median household income, and rural-urban residence.

RESULTS

There was a greater decrease in uninsured rate in expansion states (-3.0%) versus nonexpansion states (-0.9%, DiD -2.1%), particularly among Black (DiD -3.4%), Hispanic (-3.9%), and rural patients (-4.8%). In expansion states, an increase in the proportion of patients with Medicaid coincided with a decrease in the proportion with non-Medicaid insurance; the opposite was observed in nonexpansion states. The decrease in non-Medicaid insurance varied by patient race: Asian/Pacific Islanders (adjusted DiD -9.7%), Hispanic (-4.2%), non-Hispanic black (-4.0%), and non-Hispanic white (-2.8%).

CONCLUSIONS

Medicaid expansion versus nonexpansion states observed a slightly greater reduction in the uninsured rate, but Medicaid expansion states also observed a corresponding shift from non-Medicaid (including private) to Medicaid insurance, which may paradoxically exacerbate disparities in access to care and cancer outcomes. Long-term outcomes and continued study are required to fully understand the impact of the Affordable Care Act on disparities in cancer care.

Cost and Healthcare Utilization Among Non-Elderly Head and Neck Cancer Patients in the Military Health System, a Single-Payer Universal Health Care Model

INTRODUCTION

Examining costs and utilization in a single-payer universal health care system provides information on fiscal and resource burdens associated with head and neck cancer (HNC). Here, we examine trends in the Department of Defense (DoD) HNC population with respect to: (1) reimbursed annual costs and (2) patterns and predictors of health care utilization in military only, civilian only, and both systems of care (mixed model).

MATERIALS AND METHODS

A retrospective, cross-sectional study was conducted using TRICARE claims data from fiscal years 2007 through 2014 for reimbursement of ambulatory, inpatient, and pharmacy charges. The study was approved by the Defense Health Agency Office of Privacy and Civil Liberties as exempt from institutional review board full review. The population was all beneficiaries, age 18-64, with a primary ICD-9 diagnosis of HNC, on average, 2,944 HNC cases per year. The outcomes of regression models were total reimbursed health care cost, and counts of ambulatory visits, hospitalizations, and bed days. The predictors were fiscal year, demographic variables, hospice use, type and geographic region of TRICARE enrollment, use of military or civilian care or mixed use, cancer treatment modalities, the number of physical and mental health comorbid conditions, and tobacco use. A priori, null hypotheses were assumed.

RESULTS

Per annual average, 61% of the HNC population was age 55-64, and 69% were males. About 6% accessed military facilities only for all health care, 60% accessed civilian only, and 34% accessed both military and civilian facilities. Patients who only accessed military care had earlier stage disease as indicated by rates of single modality treatment and hospice use; military care only and mixed use had similar rates of combination treatment and hospice use. The average cost per patient per year was $14,050 for civilian care only, $13,036 for military care only, and $29,338 for mixed use of both systems. The strongest predictors of higher cost were chemotherapy, radiation therapy, head and neck surgery, hospice care, and mixed-use care. The strongest predictors of health care utilization were chemotherapy, use of hospice, the number of physical and mental health comorbidities, radiation therapy, head and neck surgery, and system of care.

CONCLUSIONS

To a single payer, the use of a single system of care exclusively among HNC patients is more cost-effective than use of a mixed-use system. The results suggest an over-utilization of ambulatory care services when both military and civilian care are accessed. Further investigation is needed to assess coordination between systems of care and improved efficiencies with respect to the cost and apparent over-utilization of health care services.

Variations in Medicaid Payment Rates for Radiation Oncology

PURPOSE

Interstate variations in Medicaid reimbursements can be significant, and patients who live in states with low Medicaid reimbursements tend to have worse access to care. This analysis describes the extent of variations in Medicaid reimbursements for radiation oncology services across the United States.

METHODS AND MATERIALS

The Current Procedural Terminology codes billed for a course of whole breast radiation were identified for this study. Publicly available fee schedules were queried for all 50 states and Washington, DC, to determine the reimbursement for each service and the total reimbursement for the entire episode of care. The degree of interstate payment variation was quantified by computing the range, mean, standard deviation, and coefficient of variation. The cost of care for the entire episode of treatment was compared to the publicly available Kaiser Family Foundation (KFF) Medicaid-to-Medicare fee index to determine if the pattern of payment variation in medical services generally is predictive of the variation seen in radiation oncology specifically.

RESULTS

Data were available for 48 states and Washington, DC. The total episode reimbursement (excluding image guidance for respiratory tracking) varied from $2945 to $15,218 (mean, $7233; standard deviation, $2248 or 31%). The correlation coefficient of the KFF index to the calculated entire episode of care for each state was 0.55.

CONCLUSIONS

There is considerable variability in coverage and payments rates for radiation oncology services under Medicaid, and these variations track modestly with broader medical fees based on the KFF index. These variations may have implications for access to radiation oncology services that warrant further study.

Insurance status, stage of presentation, and survival among female patients with head and neck cancer

OBJECTIVES

Incidence trends and outcomes of head and neck cancer (HNC) among female patients are not well understood. The objective of this study was to estimate incidence trends and quantify the association between health insurance status, stage at presentation, and survival among females with HNC.

STUDY DESIGN

Retrospective cohort study.

METHODS

The Surveillance, Epidemiology, and End Results database (2007-2014) was queried for females aged ≥18 years diagnosed with a malignant primary head and neck cancer (HNC) (n = 18,923). Incidence trends for stage at presentation were estimated using Joinpoint regression analysis. The association between health insurance status and stage at presentation on overall and disease-specific survival was estimated using Fine and Gray proportional hazards models.

RESULTS

Incidence of stage IV HNC rose by 1.24% from 2007 to 2014 (annual percent change = 1.24, 95% CI 0.30, 2.20). Patients with Medicaid (adjusted odds ratio [aOR] = 1.59, 95% confidence interval [CI] 1.45, 1.74) and who were uninsured (aOR = 1.73, 95% CI 1.47, 2.04) were more likely to be diagnosed with advanced stage (stages III/IV) HNC. Similarly, patients with Medicaid (adjusted hazard ratio [aHR] = 1.47, 95% CI 1.38, 1.56) and who were uninsured (aHR =1.45, 95% CI 1.29, 1.63) were more likely to die from any cause compared to privately insured patients. Medicaid (aHR = 1.34, 95% CI 1.24, 1.44) and uninsured (aHR = 1.41, 95% CI 1.24, 1.60) patients also had a greater hazard of HNC-specific deaths compared to privately insured patients.

CONCLUSIONS

Incidence of advanced-stage presentation for female HNC patients in the United States has increased significantly since 2007, and patients who are uninsured or enrolled in Medicaid are more likely to present with late stage disease and die earlier.

LEVEL OF EVIDENCE

NA Laryngoscope, 130:385-391, 2020.

Recurrent oral squamous cell carcinoma-incorporating advance care planning in education and practice

This reflection describes a life-limiting case of oral squamous cell carcinoma (SCC) that required thoughtful management facilitated by an advance care plan (ACP). A 70-year-old female was diagnosed with a T4aN2bM0 biopsy-proven invasive, well-differentiated keratinizing SCC. Surgical wide-local excision included teeth #11-16 with left unilateral neck dissection, levels I-V. She was rehabilitated with maxillary obturator prosthesis and underwent chemoradiation therapy. Her course was complicated by dysphagia and trismus. She experienced multiple recurrences. At a certain point, negative margins could not be achieved without facial disfigurement. The patient, her husband, and providers decided together that further management would be palliative. Before the additional surgical procedures, she communicated a thorough ACP with her husband and providers who were prepared to facilitate difficult care decisions on her behalf. The patient passed away at home with hospice care at the age of 74. This motivated patient with oral SCC and impactful postmanagement complications appreciated the clarity of an ACP. Her values and goals of care were incorporated with ongoing communication and documentation of this plan, which was instrumental in facilitating her person-centered care. The providers apply lessons learned here in future practice and education of residents and students.

Survival impact of treatment-related time intervals in nasopharyngeal carcinoma in the United States

OBJECTIVE

To determine if delayed or prolonged treatment-related time intervals (TRTIs) was associated with survival in patients with nasopharyngeal carcinoma (NPC) undergoing curative-intent concurrent chemoradiation (CCRT). The TRTIs investigated were duration of radiation treatment (RTd), time to radiation start (TTR), and time to chemotherapy start (TTC).

METHODS

Observational cohort study using the National Cancer Database (NCDB). In this observational cohort study, 3,893 eligible patients with NPC were identified from the NCDB. Patients received CCRT of at least 66 grays and radiation treatment time of at least 40 days. Separate univariable Cox regression model was used to analyze overall survival (OS) as a function of TRTIs, as well as for Charlson/Deyo Score, tumor classification, node classification, histological type, ethnicity, age, sex, and facility type. Upon finding significance at P < 0.05, the multivariable Cox regression analysis with backward elimination was performed to yield the final prediction model. Results were considered statistically significant when P < 0.05.

RESULTS

Radiation treatment was significantly associated with OS in the univariable analysis (hazard ratio: 1.006, 95% confidence interval = 1.004-1.008, P < 0.001). However, RTd was not related to OS in the multivariable analysis (P = 0.19). The TTR and TTC variables were not associated with OS in the univariable analysis (P = 0.88 and P = 0.88, respectively).

CONCLUSION

TRTIs were not independently associated with OS in this cohort of NPC patients in the NCDB. Future research into the association of TRTI with other disease outcomes, such as disease-free survival and locoregional control, is needed.

LEVEL OF EVIDENCE

NA. Laryngoscope, 129:2514-2520, 2019.

Racial and socioeconomic disparities associated with 90-day mortality among patients with head and neck cancer in the United States

OBJECTIVES

To quantify head and neck cancer (HNC) mortality rates and identify racial and socioeconomic factors associated with 90-day mortality.

METHODS

The National Cancer Database (2004-2014) was queried for eligible HNC cases (n = 260,011) among adults treated with curative intent. Outcome of interest was any-cause 90-day mortality. Kaplan-Meier curves (Log-rank tests) estimated crude survival differences. A Cox proportional hazards model with further adjustments using the Šidák multiple comparison method adjusted for racial, socioeconomic and clinical factors.

RESULTS

There were 9771 deaths (90-day mortality rate = 3.8%). There were crude differences in sex, race/ethnicity, comorbidity, distance, income, and insurance (Log-rank p-value < 0.0001). In the final model, blacks (aHR = 1.10, 95% CI 1.00, 1.21) and males (aHR = 1.07; 95% CI 1.00, 1.15) had greater 90-day mortality hazard, as did those uninsured (aHR = 1.72; 95% CI 1.48, 1.99), covered by Medicaid (aHR = 1.72; 95% CI 1.53, 1.93) or Medicare (aHR = 1.40; 95% CI 1.27, 1.53). Residence in lower median income zip code was associated with greater 90-day mortality [(aHR <$30,000 = 1.30; 95% CI 1.18, 1.44); (aHR $30,000-$34,999 = 1.24; 95% CI 1.13, 1.36); (aHR $35,000-$45,999 = 1.18; 95% CI 1.08, 1.27)]; and farther travel distance for treatment was associated with decreased 90-day mortality [(aHR 50-249.9 miles = 0.86; 95% CI 0.77, 0.97); (aHR > 250 miles = 0.70; 95% CI 50, 0.99)].

CONCLUSIONS

There are significant race and socioeconomic disparities among patients with HNC, and these disparities impact mortality within 90 days of treatment.

Age and sex differences in the association between access to medical care and health outcomes among older Chinese

BACKGROUND

Whether the association between access to medical care and health outcomes differs by age and gender among older adults in China is unclear. We aimed to investigate the associations between self-reported inadequate access to care and multiple health outcomes among older men and women in mainland China.

METHODS

Based on four latest waves available so far from a national longitudinal study in mainland China in 2005-2014, we used multilevel random-effect logistic models to estimate the contemporaneous relationships between inadequate access to care and disabilities in instrumental activities of daily living (IADL) and cognitive impairment in men and women at ages 65-74, 75-84, 85-94, and 95+, separately. We also used multilevel hazard models to investigate the relationships between reported access to care and mortality in 2005-2014. Nested models were used to adjust for survey design, sociodemographic background, enrollment in health insurance, and health behaviors.

RESULTS

Approximately 6.5% of older adults in China reported inadequate access to care in the period of 2005-2014; and the percentages increased with age and were higher among women at older ages (≥75 years). Overall, older adults with self-reported inadequate access to care had greater odds of IADL and ADL disabilities and cognitive impairment than those with adequate access to healthcare. The elevated odds ratios (ORs) in men were higher in middle-old (75-84) and old-old (85-94) age groups compared to other age groups; whereas the elevated ORs in women were higher in young-old (65-74) and middle-old (75-84) age groups. The relationship between access to care and the health outcomes was generally weakest at the oldest-old ages (95+). Inadequate access to care was also linked with higher mortality risk, primarily in adults aged 75-84, and it was somewhat more pronounced in women than in men.

CONCLUSIONS

Increased odds of physical disability and cognitive impairment and increased risk of mortality are linked with inadequate access to care. The associations were generally stronger in women than in men and varied across age groups. The findings of the present study have important implications for further improving access to health care and improving health outcomes of older adults in China.

Treatment Delays in Primarily Resected Oropharyngeal Squamous Cell Carcinoma: National Benchmarks and Survival Associations

OBJECTIVE

To characterize treatment delays in surgically treated oropharyngeal cancer, identify factors associated with delays, and associate delays with survival.

STUDY DESIGN

Retrospective cross-sectional analysis.

SETTING

Commission on Cancer-accredited institutions.

SUBJECTS AND METHODS

We identified patients in the National Cancer Database with surgically treated oropharyngeal cancer. We characterized the durations of diagnosis-to-treatment initiation, surgery-to-radiation treatment, radiation treatment duration, total treatment package, and diagnosis-to-treatment end intervals as medians. We associated delays with patient, tumor, and treatment factors via multivariable logistic regression analysis and with overall survival by Cox proportional hazards regression.

RESULTS

In total, 3708 patients met inclusion criteria. Median durations of diagnosis-to-treatment initiation, surgery-to-radiation treatment, radiation treatment duration, total treatment package, and diagnosis-to-treatment end intervals were 27, 42, 47, 90, and 106 days, respectively. Medicaid and human papillomavirus (HPV) negativity were associated with delays. Delayed total treatment package and diagnosis-to-treatment end intervals were associated with decreased survival (hazard ratio [HR] = 1.81 [1.29-2.54], P = .001 and HR = 1.97 [1.39-2.78], P < .001, respectively); this was maintained following HPV stratification. Delays in the surgery-to-radiation treatment interval were associated with decreased overall survival in HPV-negative but not HPV-positive patients (HR = 2.05 [1.19-3.52], P = .010 and HR = 1.15 [0.74-1.80], P = .535, respectively). Diagnosis-to-treatment initiation and radiation treatment duration were not associated with overall survival in the overall cohort (HR = 1.21 [0.86-1.72], P = .280 and HR = 1.40 [0.99-1.99], P = .061, respectively); however, following stratification, delayed radiation treatment duration approached significance in HPV-negative but not HPV-positive patients (HR = 1.60 [0.96-2.68], P = .072 and HR = 1.35 [0.84-2.18], P = .220).

CONCLUSION

Treatment durations identified here can serve as national benchmarks and for institutions to compare quality to their peers. Distinct benchmarks should be applied to HPV-negative and HPV-positive patients.