Abstract
Background/Aim: Skin cancer is the most common cancer worldwide. This study aimed to identify factors contributing to the disparities in skin cancer treatment. Patients and Methods: Data from The National Cancer Database (NCDB) spanning 2004 to 2019 were utilized. Variables including age, sex, race, Hispanic origin, Charlson-Deyo Comorbidity (CDC) score, geographic location, insurance status, income, grade and stage of cancer, and type of treatment facility impacting the time to treatment, surgery, radiation, and chemotherapy were analyzed. Results: Trends of longer time to treatment were seen with older age, non-Hispanic white, uninsured, those with a higher CDC score, and treated at academic facilities. Additionally, annual income and clinicopathology of cancer were also significantly associated with time to treatment. Conclusion: Our findings contribute to the expanding body of evidence pointing to the influence of socioeconomic and demographic factors in treatment disparities across diverse patient populations.
Skin cancer is the most prevalent cancer worldwide, including the United States (US) (1). In the US, the American Cancer Society reports an annual incidence of 5.4 million basal and squamous cell skin cancers, the two predominant skin cancers (2). Melanoma, a more aggressive form of skin cancer, constitutes 5.0% of all new cancer cases in the US (3). Notably, age-adjusted rates for new melanoma of the skin cases have been rising on average 1.2% each year over 2010-2019, while age-adjusted death rates have been falling on average 3.3% each year over 2011-2020, as reported by Surveillance, Epidemiology and End Results (SEER) Program under the National Cancer Institute (3).
Skin cancer is curable if detected in early stages and with timely provision of treatment. The five-year relative survival rate for melanoma is 93.5%, based on data from SEER (3). Although skin cancer is more pronounced in the non-Hispanic white population, it has a worse prognosis in racial and ethnic minorities (4). The estimated five-year melanoma survival rate for Black patients is only 70% versus a more favorable 94% for white patients (5). Apart from racial disparities, several additional factors, including insurance coverage, annual income, and personal healthcare awareness and attitudes, collectively contribute to the variegated treatment disparities within a diverse population (6).
A comprehensive understanding of the factors underlying treatment disparities in skin cancer is indispensable for formulating precise interventions to enhance healthcare access. This study aimed to discern these factors and add to the existing body of literature, bridging gaps in the knowledge surrounding this critical issue and thus contributing to reducing the disparities in skin cancer treatment.
Patients and Methods
In this study, we conducted a retrospective analysis of the National Cancer Database (NCDB) spanning 2004 to 2019. Institutional Review Board (IRB) approval was not needed for this investigation. Our study encompassed patients diagnosed with skin cancer, classified under the American Joint Committee on Cancer (AJCC) sixth and seventh edition guidelines. The variables under scrutiny included age, sex, race, Hispanic origin, Charlson-Deyo Comorbidity (CDC) score, geographic location, explicitly differentiating between rural, metropolitan, and urban settings, insurance status, income, grade and stage of cancer and type of treatment facility, e.g., community, comprehensive or academic. We computed and subsequently summarized the time intervals for treatments, surgery, radiation, and chemotherapy.
For our statistical analyses, we utilized SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). Our approach entailed summarizing clinical and demographic attributes, disease outcome metrics, and treatment variables. Continuous variables were analyzed using the Kruskal–Wallis test and characterized using mean, median, standard deviation, and ranges. Conversely, categorical variables were analyzed using Chi-square tests and presented as frequencies and relative frequencies.
Results
Time to first treatment. Time to treatment is a vital healthcare quality assessment tool and affects patient survival. Early initiation of treatment is crucial to prevent the spread of cancer to lymph nodes and distant organs. Stokstad et al. conducted a study to assess the influence of timely treatment on the survival rates of lung cancer patients (7). Their findings revealed that patients who received curative treatment and timely care experienced significantly improved median survival times (7). Patients with melanoma who are diagnosed and treated before the spread of cancer to lymph nodes have a five-year survival rate of 99% (8, 9). Our analysis identifies several factors affecting the time to initiation of skin treatment, as presented in Table I. Age plays a significant role, with an association observed between increasing age and a longer time to treatment (p<0.001). Sex showed a slight difference, favoring women with shorter wait times (mean 18.20±34.76 days vs. 18.63±35.68 days for males, p<0.001). There was no significant difference between patients of Hispanic and non-Hispanic origin in time to treatment, as indicated by a p-value of 0.37. However, within the non-Hispanic population, Asians had the longest wait time (20.75±35.35, p<0.001). The CDC score also affected the time to treatment, with patients with scores three and higher (22.00±77.42, p=0.044) significantly experiencing delays compared to patients with lower scores (18.39±33.97).
Time to first treatment.
Moreover, the type of healthcare facility impacted the timing, with patients treated at academic facilities experiencing the longest wait compared to those at community facilities (21.28±36.88 vs. 14.65±32.43, p<0.001). Insurance status was another significant factor affecting treatment time, as uninsured patients (20.62±38.93 days) experienced delays compared to private (16.71±36.02) and government-insured patients (19.20±34.40)–conversely, those with an annual income <63,000 experienced shorter waiting times till their first treatment (18.20±33.69 vs. 18.57±33.60, p=0.010). Furthermore, the grade and stage of cancer were significant determinants of the time to treatment. Patients with poorly and undifferentiated cancer and those in stage IV experienced significant delays in treatment (p<0.001). However, among the different stages, it was stage 0 that had the most prolonged delay (28.88±46.90), while stage I had the shortest time to treatment (16.07±27.60).
Time to definitive surgery. Surgery is one of the curative treatment options available for skin cancer. There are several options for surgery, ranging from simple excision to Mohs micrographic surgery, depending on the morphology of the cancer (10). An increase in the time to surgery from diagnosis is associated with a decrease in survival, as shown by Carpenter et al., where a reduction in overall survival was observed in intervals longer than 56 days (11). Conic et al. also showed that longer than 90 days of interval to surgery was associated with poor survival in patients with melanoma (12). Time to surgery depends on various factors ranging from the stage of cancer to the perception and understanding of a surgeon. Table II shows that it was significantly shorter in patients over 70 years (mean 33.61±39.96 days, p<0.001) amongst all age groups. Similar to time to treatment, Hispanic vs. non-Hispanic distinction showed no difference in time to surgery. However, among non-Hispanics, whites had the shortest time to surgery with a mean of 36.07±43.63 days (p<0.001), whereas Native Americans experienced the most prolonged delay (43.40±43.50 days). CDC score showed a bimodal distribution, with patients with CDC scores zero (36.95±45.83) and three and higher (37.78±84.30) experiencing the longest time to surgery whereas CDC score 2 had the shortest time, i.e., mean 33.18±40.16 days. In addition, uninsured patients (39.61±48.45 vs. 35.22±43.3 days of government-insured, p<0.001) and those with a high annual income (37.14±45.03, p<0.001) had the longest time to have definitive surgery. In addition, poorly differentiated (35.94±44.30, p=0.007) and stage IV cancer (33.73±52.71) received surgery the fastest, whereas stage 0 had the longest wait time (50.04±67.63, p<0.001). Also, those receiving treatment at an academic center had longer intervals to definitive surgery, with a mean of 42.72±49.07 days vs. 26.17±36.93 (p<0.001) for community hospitals.
Time to definitive surgery.
Time to radiation. Radiotherapy is an alternative to surgery for patients with skin cancer who are unsuitable for surgery and is also often used in adjunct to surgery to minimize the risk of cancer recurrence. Kim et al. reported a 91% three-year local failure-free survival (LFDS) rate of patients who received external beam radiotherapy (ERBT) for head and neck skin cancer, which is comparable to rates of surgical treatment (13). Age has a notable impact on the timing of radiation therapy, with older individuals often becoming candidates for it earlier, as shown in Table III, with a mean interval to radiotherapy of 90.95±60.23 days. Significant differences were observed between Hispanics and non-Hispanics (p=0.014), favoring non-Hispanics, mainly Whites, with the shortest waiting period (93.55±60.11, p<0.001) whereas Blacks had the most prolonged time interval to radiation (111.55±71.95). The urban (90.94±52.99, p=0.027) and insured populations (92.93±59.58 for government insurance and 96.77±62.35 for private insurance) had quicker access to radiotherapy. A trend of increasing time to radiation was observed with increasing stages of cancer, with the mean interval to radiation for stage IV being tabulated to 100.30±80.05 days versus 88.91±47.69 for stage I (p<0.001). Academic centers exhibited longer waiting periods (98.04±53.49, p<0.001) for radiation, whereas community hospitals provided timelier radiotherapy (88.74±62.64).
Time to radiation.
Time to chemotherapy. Chemotherapy can also be used as an adjunct treatment option for skin cancer. Our analysis, presented in Table IV, showed that the time interval of initiation of chemotherapy was significantly influenced by the cancer stage and the type of healthcare facility where patients were treated. An overall decreasing trend of the time interval is observed with the progression of each stage (p<0.001). Patients with stage IV cancer received chemotherapy most promptly at a mean of 58.00±53.17 days, whereas stage 0 cases experienced the longest wait time, i.e., 114.88±116.15 days. Among healthcare facilities, academic centers were associated with a prolonged duration for receiving chemotherapy (75.39±58.72, p<0.001), whereas comprehensive (68.96±62.65) and community care centers (73.68±67.51) provided the shortest intervals.
Time to chemotherapy.
Discussion
Our analysis highlights the association of socioeconomic and demographic factors in the treatment disparities among different patient populations. Age plays a consistent role, with increasing age observed to be associated with delays in overall treatment. This increase in the mean time interval from diagnosis to treatment in older patients may be due to the increased need for workups and consultations to decide on an appropriate management plan (11). A higher risk of mortality is associated with comorbidity score 3 (HR=2.79, 95%CI=1.46-5.30, p=0.002) and score ≥4 (HR=2.75, 95%CI=1.39-5.44, p=0.004) as demonstrated by Chang et al. (14). As older patients are also more likely to suffer from comorbid conditions, they need to be optimized. This, in turn, elucidates the observed delays in the time taken to initiate treatment and surgical procedures in patients with higher CDC scores in our analysis. Furthermore, Lott et al. arrived at a similar conclusion, emphasizing that individuals with melanoma over the age of 85 with multiple comorbid conditions experienced the most substantial delays in undergoing surgery (15).
In contrast to overall treatment, our results showed that the mean time to surgery and radiation was the shortest in the geriatric population. This could be attributed to their later-stage presentation with high-risk lesions requiring more aggressive therapy. A longer time to surgery is associated with decreased overall survival (11, 12). High-risk skin cancers are most often treated with Mohs surgery, which has a curative rate of up to 99% and 95-99% for basal and squamous cell carcinoma, respectively (16). Patients with higher-risk carcinomas who wish to avoid surgery can also be treated with radiotherapy. It is non-invasive and painless and can be used as the primary treatment modality for older individuals with multiple comorbidities, preventing them from becoming suitable candidates for general anesthesia to achieve fitness (17, 18). The curative rate of radiotherapy depends on the type and morphology of skin cancer. Its five-year cure rate for basal cell carcinoma is reported to be 93%-96% (19).
Our research aligns with existing studies showing female patients to have superior survival compared to males (20). Generally, females visit a doctor more often than men and are more likely to seek attention for any suspicious lesion. Thus, they are more regular with follow-ups than their male counterparts, leading to them receiving the treatment earlier. Notably, the frequency of timely treatment for female patients has shown significant improvement following the implementation of the Affordable Care Act (ACA) in 2010 (21). The ACA aimed to expand insurance coverage for the population and enhance access to medical treatments (21). This positive impact is exemplified by the decline in the frequency of delayed treatments among female patients, as demonstrated by Jayakrishnan et al., who reported a decrease from 48.8% to 46.0% in the delayed treatment group (21). This indicates that policy measures like the ACA can play a crucial role in ensuring more timely healthcare access for female patients.
The overall interval of skin cancer treatment was shorter in the non-Hispanic white population compared to people of color, such as Blacks, Asians, and Native Americans. This discrepancy can be attributed to a constellation of factors, including patient education and awareness, physician attitudes, and healthcare accessibility. Notably, there is a concern that the comparatively lower incidence of skin cancer in people of color might engender a sense of complacency, leading to delayed symptom recognition and subsequent treatment at more advanced stages. This delay could be compounded by the heightened pre-operative requirements associated with advanced stages of the disease (22). In addition, darker-skinned individuals, for example, Blacks, are more likely to develop acral lentiginous melanoma (ALM), a rare form of skin cancer. It typically appears on the palms and soles, as well as under the nail beds. Since these sites are not frequently exposed to UV light of the sun, they may be overlooked on self-physical examinations, leading to belated diagnosis and subsequent treatment (23, 24). Hispanic patients are also less likely to seek medical advice for a complete body examination and any suspicious-looking skin lesions (25). This might contribute to their late diagnosis at an aggressive stage, leading to delays in radiotherapy for skin cancer, as evidenced in our study. This observation aligns with the findings of Sukniam et al., who reported that Hispanic female patients experience the most significant delays in receiving surgical, radiation, and chemotherapy treatments for breast cancer (26).
Furthermore, an essential contributor to delayed diagnosis is unequal healthcare access to people of color and deprivation of competitive treatment modalities suited to them. Clinical trials are usually centered on the majority population, which in the United States primarily caters to the white population in treating melanoma (23). CheckMate-067 and CheckMate-037 trials comprised less than 0.7% African American participants and fewer than 1.1% individuals of Asian origin (27, 28). Only seven African-American melanoma patients were included out of approximately 1,100 cases within the Cancer Genome Atlas cohort (23). Such a significant lack of representation in clinical and translational research restricts the applicability of research outcomes to the broader American population, often ignoring the needs of the non-white population. These factors together increase morbidity and mortality due to skin cancer in this population (29). Thus, there is an urgent need to address the disparities in research and healthcare access for underrepresented populations and to spread awareness about the incidence of skin cancer in people of color, facilitating early recognition and treatment.
Our data reveal that uninsured patients face a significant delay in receiving essential treatment, including definitive surgeries, primarily due to constrained access and elevated costs associated with healthcare services. Financial barriers often deter patients from seeking healthcare. Our findings corroborate existing literature showing that individuals with private health insurance tend to access treatment more promptly than those reliant on government-sponsored insurance such as Medicaid (30-32). High-income and comprehensive health insurance plans are typically associated with timely and appropriate treatment. This connection between income, education, and health underscores that individuals with better education levels and awareness of healthcare importance tend to pursue treatment earlier, leading to improved outcomes (33).
However, our findings contradict this observation, as those with a higher income received delayed treatment and surgery. This discrepancy can be explained by the greater likelihood of them exploring alternative treatment options or seeking out multiple opinions, including waiting for consultations with renowned specialists to make an informed decision, which can delay initiating definitive treatment for skin cancer.
Shorter treatment and surgery time for insured patients correlates with our finding of shorter time to radiation for patients living in urban areas. This correlation is grounded in the fact that individuals in rural areas are more likely to be uninsured with comparatively less access to health care than urban and metropolitan residents (34). Owing to this, cancer mortality rates are higher for patients residing in rural areas (35, 36).
The clinicopathology of cancer plays a crucial role in management decisions and treatment planning. Lesions can often be classified into high and low grades based on the pathology and extent. Lesions classified as high-grade or advanced stages may require more intensive diagnostic workup, aggressive treatment including surgery, and closer monitoring involving a multidisciplinary approach (37). Chemotherapy, immunotherapy, and radiotherapy are often used as adjunct therapies for high-grade or advanced-stage cancer, and they can help to improve treatment outcomes and reduce the risk of recurrence. Thus, patients with high-risk lesions often face delays in initiating their treatment but often receive priority for surgery and chemotherapy due to the aggressive nature of their cancer and the potential for a worse prognosis if left untreated.
Our analysis revealing extended delays for patients within academic centers compared to comprehensive and community centers aligns harmoniously with prior research highlighting the role of racial disparities and treatment facility disparities in the time taken for treatment initiation among patients with non-small cell lung cancer (38). Due to their prominence and specialization, academic medical centers tend to shoulder heavier patient loads and handle a higher frequency of intricate cases. This inevitably results in longer waiting times for appointments with specialized healthcare professionals and the commencement of treatment. Academic centers also often involve a multidisciplinary approach and in-depth diagnostic assessments to address the complexities of the cases they receive. Consequently, considerable time is spent coordinating care among various specialties and making informed decisions paramount to achieving optimal patient outcomes. While this approach ensures the highest quality of care, it can inadvertently lead to extended waiting times for patients before their treatment journeys commence.
Our study sheds light on several underlying factors contributing to treatment disparities among a diverse patient population. However, our results are subject to certain limitations. Our data are derived from the National Cancer Database, a retrospective database that relies on the accuracy and completeness of the information provided by participating institutions. Therefore, there may be a potential for inaccuracies or missing data in the dataset. Additionally, our study does not highlight the relation of overall survival to treatment disparities, nor does it illuminate how these disparities affect the quality of life or long-term outcomes for patients. This necessitates further research to address these gaps in knowledge and provide a comprehensive understanding of the impact of treatment disparities on patient outcomes.
Conclusion
In conclusion, our findings add to the growing body of evidence that suggests the role of socioeconomic and demographic factors in contributing to treatment disparities among different patient populations. Understanding these disparities is crucial for healthcare providers and policymakers to develop targeted interventions to reduce healthcare inequalities and improve the quality of care for all patients, particularly the underserved and marginalized populations.
Footnotes
Authors’ Contributions
Conceptualization: Emmanuel Gabriel; Data curation: Emmanuel Gabriel, Anthony George; Formal analysis: Anthony George; Investigation: Emmanuel Gabriel, Anthony George; Methodology: Emmanuel Gabriel, Anthony George, Syeda Hoorulain Ahmed, Harsheen Kaur Manaise, Reed Popp, Seema Sharan, Shivam Bansal, Kulkaew Belle Sukniam, Swathi R Raikot, Gabrielle Kowkabany, Paola Berrios Jimenez, Kyle Popp, Fatima Mubarak; Project administration: Syeda Hoorulain Ahmed; Software: Emmanuel Gabriel, Anthony George; Supervision: Syeda Hoorulain Ahmed, Emmanuel Gabriel; Validation: Emmanuel Gabriel; Visualization: Syeda Hoorulain Ahmed; Roles/Writing – original draft: Syeda Hoorulain Ahmed; Writing – review & editing: Harsheen Kaur Manaise, Reed Popp, Seema Sharan, Shivam Bansal, Kulkaew Belle Sukniam, Swathi R Raikot, Gabrielle Kowkabany, Paola Berrios Jimenez, Kyle Popp, Fatima Mubarak. All Authors have approved the manuscript and its submission to the journal.
Conflicts of Interest
The Authors have no conflicts of interest to declare in relation to this study.
Funding
This work was supported by Roswell Park Cancer Institute and National Cancer Institute (NCI) grants P30CA016056.
- Received September 7, 2023.
- Revision received September 27, 2023.
- Accepted September 28, 2023.
- Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.






