Factors associated with time-to-treatment of prostate cancer in Florida

Association of race/ethnicity and patient care experiences with receipt of definitive treatment among prostate cancer survivors: a SEER-CAHPS study

PURPOSE

This study aimed to evaluate the association of race/ethnicity, patient care experiences (PCEs), and receipt of definitive treatment and treatment modality among older adults in the United States (US) with localized prostate cancer (PCa).

METHODS

Using Surveillance, Epidemiology and End Results dataset linked to Medicare Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) for 2007-2015, we identified men aged ≥ 65 years who completed a CAHPS survey within one year before and one year after PCa diagnosis. Associations of race/ethnicity (non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic, non-Hispanic Asian (NHA), and other) and of interactions between race/ethnicity and PCEs (getting needed care, getting care quickly, doctor communication, and care coordination) with the receipt of definitive PCa treatment and treatment modality within 3 and 6 months of diagnosis were examined using logistic regressions.

RESULTS

Among 1,438 PCa survivors, no racial/ethnic disparities in the receipt of definitive treatment were identified. However, NHB patients were less likely to receive surgery (vs. radiation) within 3 and 6 months of PCa diagnosis than NHW patients (OR 0.397, p = 0.006 and OR 0.419, p = 0.005), respectively. Among NHA patients, a 1-point higher score for getting care quickly was associated with lower odds (OR 0.981, p = 0.043) of receiving definitive treatment within 3 months of PCa diagnosis, whereas among NHB patients, a 1-point higher score for doctor communication was associated with higher odds (OR 1.023, p = 0.039) of receiving definitive treatment within 6 months of PCa diagnosis.

DISCUSSION

We observed differential associations between PCEs and receipt of definitive treatment based on patient race/ethnicity. Further research is needed to explore these associations.

Racial inequity and other social disparities in the diagnosis and management of bladder cancer

BACKGROUND

We investigate the impact of gender, race, and socioeconomic status on the diagnosis and management of bladder cancer in the United States.

METHODS

We utilized the National Cancer Database to stratify cases of urothelial cell carcinoma of the bladder as early (Tis, Ta, T1), muscle invasive (T2-T3, N0), locally advanced (T4, N1-3), and metastatic. Multivariate binomial and multinomial logistic regression analyses identified demographic characteristics associated with stage at diagnosis and receipt of cancer-directed therapies. Odds ratios (OR) are reported with 95% confidence intervals.

RESULTS

After exclusions, we identified 331,714 early, 72,154 muscle invasive, 15,579 locally advanced, and 15,161 metastatic cases from 2004-2016. Relative to diagnosis at early stage, the strongest independent predictors of diagnosis at muscle invasive, locally advanced, and metastatic disease included Black race (OR = 1.19 [1.15-1.23], OR = 1.49 [1.40-1.59], OR = 1.66 [1.56-1.76], respectively), female gender (OR = 1.21 [1.18-1.21], OR = 1.16 [1.12-1.20], and OR = 1.34 [1.29-1.38], respectively), and uninsured status (OR = 1.22 [1.15-1.29], OR = 2.09 [1.94-2.25], OR = 2.57 [2.39-2.75], respectively). Additional demographic factors associated with delayed diagnosis included older age, treatment at an academic center, Medicaid insurance and patients from lower income/less educated/more rural areas (all p < 0.01). Treatment at a non-academic center, older age, women, Hispanic and Black patients, lower income and rural areas were all less likely to receive cancer-directed therapies in early stage disease (all p < 0.01). Women, older patients, and Black patients remained less likely to receive treatment in muscle invasive, locally advanced, and metastatic disease (all p < 0.01).

CONCLUSION

Black race was the strongest independent predictor of delayed diagnosis and substandard treatment of bladder cancer.

Sociodemographic and Geographic Disparities of Prostate Cancer Treatment Delay in Tennessee: A Population-Based Study

The relationship of social determinants of health, Appalachian residence, and prostate cancer treatment delay among Tennessee adults is relatively unknown. We used multivariate logistic regression on 2005–2015 Tennessee Cancer Registry data of adults aged ≥18 diagnosed with prostate cancer. The outcome of treatment delay was more than 90 days without surgical or nonsurgical intervention from date of diagnosis. Social determinants in the population-based registry were race (White, Black, Other) and marital status (single, married, divorced/separated, widow/widower). Tennessee residence was classified as Appalachian versus non-Appalachian (urban/rural). Covariates include age at diagnosis (18–54, 54–69, ≥70), health insurance type (none, public, private), derived staging of cancer (localized, regional, distant), and treatment type (non-surgical/surgical). We found that Black and divorced/separated patients had 32% (95% confidence interval [CI]: 1.22–1.42) and 15% (95% CI: 1.01–1.31) increased odds to delay prostate cancer treatment. Patients were at decreased odds of treatment delay when living in an Appalachian county, both urban (odds ratio [OR] = 0.89, 95% CI: 0.82–0.95) and rural (OR = 0.83, 95% CI: 0.78–0.89), diagnosed at ≥70 (OR = 0.59, 95% CI: 0.53–0.66), and received surgical intervention (OR = 0.72, 95% CI: 0.68–0.76). Our study was among the first to comprehensively examine prostate cancer treatment delay in Tennessee, and while we do not make clinical recommendations, there is a critical need to further explore the unique factors that may propagate disparities. Prostate cancer treatment delay in Black patients may be indicative of ongoing health and access disparities in Tennessee, which may further affect quality of life and survivorship among this racial group. Divorced/separated patients may need tailored interventions to improve social support.

The association between ethnic background and prostate cancer

Prostate cancer is a complex disease which is more prevalent among men of black and minority ethnic (BME) background than their Caucasian counterparts, with men of African-Caribbean background experiencing higher levels of incidence and mortality than any other ethnic group. The reasons behind this health inequality are poorly understood and likely to be multifactorial. Several theories have been posited, including genetic disposition, poorer access to health care, a lack of understanding of the risks posed by prostate cancer and an unwillingness to access mainstream health care. There is, however, a notable disparity between the amount of literature focusing on prostate cancer as it affects those with a BME background and on prostate cancer in general. This further compounds the difficulties encountered by BME men, who rely on health professionals being aware of the greater risk they face. More knowledge and understanding is required by both the general population and medical practitioners to address this health inequality.

Risk factors involved in treatment delays and differences in treatment type for patients with prostate cancer by risk category in an academic safety net hospital

OBJECTIVES

Understanding the drivers of delays from diagnosis to treatment can elucidate how to reduce the time to treatment (TTT) in patients with prostate cancer. In addition, the available treatments depending on the stage of cancer can vary widely for many reasons. This study investigated the relationship of TTT and treatment choice with sociodemographic factors in patients with prostate cancer who underwent external beam radiation therapy (RT), radical prostatectomy (RP), androgen deprivation therapy (ADT), or active surveillance (AS) at a safety-net academic medical center.

METHODS AND MATERIALS

A retrospective review was performed on 1088 patients who were diagnosed with nonmetastatic prostate cancer between January 2005 and December 2013. Demographic data as well as data on TTT, initial treatment choice, American Joint Committee on Cancer stage, and National Comprehensive Cancer Network risk categories were collected. Analyses of variance and multivariable logistic regression models were performed to analyze the relationship of these factors with treatment choice and TTT.

RESULTS

Age, race, and marital status were significantly related to treatment choice. Patients who were nonwhite and older than 60 years were less likely to undergo RP. Black patients were 3.8 times more likely to undergo RT compared with white patients. The median TTT was 75 days. Longer time delays were significant in patients of older age, nonwhite race/ethnicity, non-English speakers, those with noncommercial insurance, and those with non-married status. The average TTT of high-risk patients was 25 days longer than that of low-risk patients. Patients who underwent RT had an average TTT that was 34 days longer than that of RP patients.

CONCLUSIONS

The treatment choice and TTT of patients with prostate cancer are affected by demographic factors such as age, race, marital status, and insurance, as well as clinical factors including stage and risk category of disease.

Impact of Age, Race and Socio-economic Status on Temporal Trends in Late-Stage Prostate Cancer Diagnosis in Florida

Individual-level data from the Florida Cancer Data System (1981-2007) were analysed to explore temporal trends of prostate cancer late-stage diagnosis, and how they vary based on race, income and age. Annual census-tract rates were computed for two races (white and black) and two age categories (40-65, >65) before being aggregated according to census tract median household incomes. Joinpoint regression and a new disparity statistic were applied to model temporal trends and detect potential racial and socio-economic differences. Multi-dimensional scaling was used as an innovative way to visualize similarities among temporal trends in a 2-D space. Analysis of time-series indicated that late-stage diagnosis was generally more prevalent among blacks, for age category 40-64 compared to older patients covered by Medicare, and among classes of lower socio-economic status. Joinpoint regression also showed that the rate of decline in late-stage diagnosis was similar among older patients. For younger patients, the decline occurred at a faster pace for blacks with rates becoming similar to whites in the late 90s, in particular for higher incomes. Both races displayed distinct spatial patterns with higher rates of late-stage diagnosis in the Florida Panhandle for whites whereas high rates clustered in South-eastern Florida for blacks.