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Background: Clinical trial patient accrual continues to be challenging despite the identification of multiple physician, patient, and system barriers. Expanded collection of demographic data, including socioeconomic status (employment, income, education) and comorbidities, can enhance our understanding of the identified barriers, inform the development of interventions to overcome these barriers, and recognize their impact on treatment outcomes. A clinical trials screening tool was developed to collect expanded demographic data and barriers to trial enrollment; it has been implemented in the National Cancer Institute Clinical Oncology Research Program. The purpose of this article is to describe the development and implementation of the tool and to share information obtained during the first 43 months of its use.Methods: There were 19,373 entries collected; 74% of those screened enrolled in a clinical trial. Demographic characteristics were compared between those screened and those enrolled. They varied significantly between the groups.Results: Reasons for nonenrollment included ineligibility (50%), eligible but declined (47%), eligible but physician declined to offer participation (2%), and eligible but the study was suspended (1%). The most common reasons for ineligibility were failure to meet the protocol-specific stage of cancer, the presence of comorbidities, and the symptom-eligibility score was not met. The most common reason for eligible patients declining participation was that they had no desire to participate in research.Conclusions: The tool provides valuable information about the characteristics of individuals who are screened and enrolled in National Cancer Institute-sponsored trials, as well as about barriers to enrollment in trials. The data also inform protocol development and interventions at the patient, provider, and institutional level. [ABSTRACT FROM AUTHOR]

Background: To the authors' knowledge, the empiric identification of agents and interventions to mitigate chemotherapy‐induced peripheral neuropathy (CIPN) has resulted in only 1 agent that modestly mitigates it and no agents or interventions that prevent its development. This speaks to the need for a mechanistic understanding of CIPN to develop effective interventions. Methods: To understand the extent to which mechanistic understanding of CIPN is being translated into the development of interventions, the National Cancer Institute conducted a review of the National Institutes of Health (NIH)'s portfolio of investigator‐initiated grants, the literature regarding CIPN mechanisms, and the clinical trials listed in the ClinicalTrials.gov database from January 1, 2011, to May 22, 2019. Results: A total of 69 NIH‐supported grants and 95 published articles were identified that evaluated mechanistic pathways of 7 different chemotherapy agents that cause CIPN. The review also identified 35 clinical trials that investigated agents or devices with which to treat CIPN. Only 3 trials incorporated a mechanistic rationale to support the choice of the intervention. Conclusions: To the authors' knowledge, very little of the mechanistic understanding of the development of CIPN is being translated into intervention rationale in clinical trials that evaluate interventions to mitigate CIPN. Efforts to incentivize this translation are needed. Very little of the mechanistic understanding of the development of chemotherapy‐induced peripheral neuropathy (CIPN) currently is being translated into intervention rationale in clinical trials that evaluate interventions to mitigate CIPN. The integration of different types of research that bridge the gap between preclinical and clinical research is crucial to developing effective interventions to prevent or treat CIPN. [ABSTRACT FROM AUTHOR]

Background: The importance of capturing and reporting health‐related quality of life (HRQOL) in clinical trials has been increasingly recognized in the oncology field. As a result, the National Cancer Institute (NCI) began to provide support for correlative HRQOL studies in cancer treatment trials. The current study was conducted to assess the publication rate of HRQOL correlative studies in NCI‐supported treatment trials and to identify potential factors positively or negatively associated with publication rates. Methods: The NCI conducted a retrospective review of existing NCI databases to identify cancer treatment trials that had obtained additional NCI funding for the assessment of HRQOL and to determine the extent to which funded HRQOL studies have been completed and published in a peer‐reviewed journal. Results: Of the 108 included trials, 58 (54%) had a parent trial (PT) publication; of these, 36 trials (62%) had a published HRQOL result: 20 as an independent publication and 16 that were included and/or reported in the PT publication. The length of time between trial activation and closure, as well as the specific cancer, appeared to be associated with the publication rates. Conclusions: The results of the current study demonstrated that approximately 45% of the PT publications were followed by a HRQOL publication within 1 year, to allow the knowledge to be used in patient treatment decision making. The authors believe the current analysis is an important first step toward a better understand of the challenges that researchers face when reporting HRQOL endpoints. Greater than 60% of the National Cancer Institute–funded health‐related quality of life (HRQOL) correlative studies embedded in cancer treatment trials are found to have an associated publication in a peer‐reviewed journal. HRQOL publication rates vary based on the length of time between trial activation and closure and type of cancer. [ABSTRACT FROM AUTHOR]

BACKGROUND This study examined racial/ethnic differences among patients in clinical trial (CT) enrollment, refusal rates, ineligibility, and desire to participate in research within the National Cancer Institute's Community Cancer Centers Program (NCCCP) Clinical Trial Screening and Accrual Log. METHODS Data from 4509 log entries were evaluated in this study. Four logistic regression models were run using physical/medical conditions, enrollment into a CT, patient eligible but declined a CT, and no desire to participate in research as dependent variables. RESULTS Age ≥ 65 years (OR = 1.51, 95% CI = 1.28-1.79), males (OR = 2.28, 95% CI = 1.92-2.71), and non-Hispanic black race (OR = 1.53, 95% CI = 1.2-1.96) were significantly associated with more physical/medical conditions. Age ≥ 65 years was significantly associated with lower CT enrollment (OR = 0.83, 95% CI = 0.7-0.98). Males (OR = 0.78, 95% CI = 0.65-0.94) and a higher grade level score for consent form readability (OR = 0.9, 95% CI = 0.83-0.97) were significantly associated with lower refusal rates. Consent page length ≥ 20 was significantly associated with lower odds of 'no desire to participate in research' among CT decliners (OR = 0.75, 95% CI = 0.58-0.98). CONCLUSIONS There were no racial/ethnic differences in CT enrollment, refusal rates, or 'no desire to participate in research' as the reason given for CT refusal. Higher odds of physical/medical conditions were associated with older age, males, and non-Hispanic blacks. Better management of physical/medical conditions before and during treatment may increase the pool of eligible patients for CTs. Future work should examine the role of comorbidities, sex, age, and consent form characteristics on CT participation. Cancer 2014;120:877-884. © 2013 American Cancer Society. [ABSTRACT FROM AUTHOR]