Recommended Patient-Reported Core Set of Symptoms to Measure in Prostate Cancer Treatment Trials

6553 Background: African American men (AAs) have a higher burden of prostate cancer compared to other populations. We sought to determine if they experience disparities in access to prostate cancer clinical trials. Methods: We created a county-level database of all U.S. counties by linking together prostate cancer clinical trial data from the Aggregate Analysis of ClincalTrials.gov (AACT) database with county-level socioeconomic, demographic and healthcare facility data derived from several external data sources. Using this data linkage, we examined two specific potential access barriers. First, we investigated the relationship between %AAs in the county and access to NCI designated cancer facilities, adjusting for county population size and other characteristics. Then, among counties with cancer facilities, we investigated the relationship between the %AAs in the county and number of available prostate cancer treatment trials per capita per year. We used logistic and negative binomial regression models, respectively, to address these questions. Results: Between 2008 and 2015, 613 prostate cancer trial sites were found among 3,145 U.S. counties. Counties with higher %AAs were less likely to have cancer facilities (adjusted odds ratio = 0.85, 95% CI (0.78, 0.92)). Among counties with cancer facilities, those with higher %AAs had significantly fewer prostate cancer trials per capita per year (rate ratio per 10% increase in %AAs: 0.90, 95% CI (0.83,0.96)), after adjusting for county-level sociodemographic and healthcare system factors. Conclusions: Counties with higher proportions of AAs appear to be less likely to have access to NCI designated cancer facilities. Among counties with cancer facilities, those with higher proportions of AAs appear to have fewer available prostate cancer treatment trials per capita per year. Clinical trials in prostate cancer therapy should ensure adequate availability of enrollment sites in regions with high concentrations of AAs.

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Quality-of-life outcomes for prostate cancer treatment in Australia.

Journal of Clinical Oncology ◽

10.1200/jco.2013.31.6_suppl.143 ◽

2013 ◽

Vol 31 (6_suppl) ◽

pp. 143-143

Author(s):

Jeremy L. Millar ◽

Susan M. Evans ◽

Mark Frydenberg ◽

Declan G. Murphy ◽

Damien M. Bolton ◽

...

Keyword(s):

Quality Of Life ◽

Prostate Cancer ◽

Cancer Treatment ◽

Public Hospital ◽

Population Based ◽

Life Outcomes ◽

Hospital Type ◽

Prostate Cancer Treatment ◽

Patient Reported

143 Background: We aimed to use a population based quality registry established in Australia, to review patient-reported health-related QOL after the diagnosis of Prostate Cancer (PCa). Methods: Prospective registry of men with PCa from statutory notifications to the canonical population-based cancer registry in Victoria. An "opt-off" mechanism used. Coverage expanded from 30%-80% of State population over time. Demographics and disease features, management, and outcomes from medical record; men phoned at 12 and 24 months (m), interviewed with script including SF12 and items from standard form (UCLA PCI) for specific QOL outcomes. Urinary, rectal, and sexual function bother (UB, RB, and SB) scores where analysed by univariate and multivariable modelling for relationship of these with presentation or management factors, adjusting for risk. Results: Men from 8/2008 - 2/2011; 1.9% of eligible opted out. Followed 1172 to 12 & 24 m. Median diagnosis age 65 yr; median PSA 6.8 ng/mL; 97.3% clinically localised with 47.7% having NCCN intermediate risk. 520 had treatment with Radical Prostatectomy (RP) (89 also with external beam-EBRT), 171 had EBRT (with or without HDR brachy), and 211 seed implant (SI). 226 had no treatment (NT) in the first 12 m. 52.5% managed in public hospitals, rest private. Univariate analysis: UB associated with management type, and hospital type, and RB and SB associated with these factors, as well as age and disease stage. On multivariate regression SB at 12 m was associated with increasing age (p=0.002) and radical treatment types (RP and EBRT/HDR, p<0.001 and 0.003 respectively)—except SI—compared to NT; RB was associated with SI (0.02) and EBRT/HDR (0.007) and treatment in a public hospital (0.006); and UB was associated with public hospital (<0.001). All associations at 12 m remained significant at 24 m. SF12 physical score had a positive association with RP vs NT (0.014), hospital type (0.001) and younger age. SF12 mental health also showed associations. Conclusions: A large scale registry in Australia assessing patient-reported quality of life outcomes after prostate cancer treatment shows patterns similar to that seen in North American reports.

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