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Dedication Contributors Foreword Preface I: Background and Introduction to Oncology Clinical Trials 1: The Changing Landscape of Clinical Research and Trials 2: Historical Perspectives of Oncology Clinical Trials 3: Ethical Principles Guiding Clinical Research 4: Industry Collaboration When Developing Novel Agents in Oncology 5: The Trials and Tribulations of Writing and Conducting an Investigator Initiated Trial 6: Writing a Consent Form 7: Why Do Clinical Trials Fail?
II: Designing Oncology Clinical Trials 8: Choice of Endpoints in Cancer Clinical Trials 9: Design, Testing, and Estimation in Clinical Trials 10: Innovative Phase I Clinical Trials 11: Pharmacokinetics in Clinical Oncology 12: Dose Finding Using the Continual Reassessment Method 13: Design of Phase II Trials 14: Biomarkers in Confirmatory Clinical Trials 15: Bayesian Designs in Clinical Trials 16: Selection Designs 17: Phase III Oncology Clinical Trials 18: Design of Noninferiority Trials in Oncology 19: Design of Quality of Life Studies 20: Adaptive Designs
III: Conducting Oncology Clinical Trials 21: Randomization 22: Case Report Form Development 23: Monitoring, Assessing, and Reporting Adverse Events 24: Dose Modification and Use of Ancillary Treatments in Investigational Studies in Clinical Trials 25: Assessment of Patient-Reported Outcomes in Industry-Sponsored Clinical Trials 26: Recruitment of Research Participants 27: Barriers to Oncology Clinical Trials 28: The Role of Novel Imaging Techniques in Clinical Trials 29: Practical Issues With Correlative Studies 30: The Development of Companion Diagnostics in Oncology Clinical Trials
IV: Analyzing Results of Oncology Clinical Trials 31: Interim Analysis and Data Monitoring 32: Reporting of Results: Data Analysis and Interpretation 33: Statistical Considerations for Developing and Validating Prognostic Models of Clinical Outcomes 34: Statistical Evaluation of Surrogate Endpoints in Cancer Clinical Trials 35: Development and Validation of Genomic Signatures 36: Competing Risks Analysis in Clinical Trials 37: Systematic Reviews and Meta-Analysis 38: Statistical Methods for Genomics-Driven Clinical Studies 39: Handling Missing Data in Oncology Clinical Trials
V: Special Considerations in Oncology Clinical Trials 40: Health-Related Quality of Life Studies in International Randomized Controlled Oncology Clinical Trials 41: The Economics of Oncology Clinical Trials 42: Special Considerations in Immunotherapy Trials 43: Special Considerations in Radiation Therapy Trials 44: Clinical Trials in Hematologic Malignancies 45: Issues in Recruiting Elderly, Underserved, Minority, and Rural Populations (and Solutions) 46: Telemedicine and Clinical Trials
VI: Cooperative Groups, Regulatory and Governing Bodies
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45: Issues in Recruiting Elderly, Underserved, Minority, and Rural Populations (and Solutions)
Dedication Contributors Foreword Preface I: Background and Introduction to Oncology Clinical Trials 1: The Changing Landscape of Clinical Research and Trials 2: Historical Perspectives of Oncology Clinical Trials 3: Ethical Principles Guiding Clinical Research 4: Industry Collaboration When Developing Novel Agents in Oncology 5: The Trials and Tribulations of Writing and Conducting an Investigator Initiated Trial 6: Writing a Consent Form 7: Why Do Clinical Trials Fail?
II: Designing Oncology Clinical Trials 8: Choice of Endpoints in Cancer Clinical Trials 9: Design, Testing, and Estimation in Clinical Trials 10: Innovative Phase I Clinical Trials 11: Pharmacokinetics in Clinical Oncology 12: Dose Finding Using the Continual Reassessment Method 13: Design of Phase II Trials 14: Biomarkers in Confirmatory Clinical Trials 15: Bayesian Designs in Clinical Trials 16: Selection Designs 17: Phase III Oncology Clinical Trials 18: Design of Noninferiority Trials in Oncology 19: Design of Quality of Life Studies 20: Adaptive Designs
III: Conducting Oncology Clinical Trials 21: Randomization 22: Case Report Form Development 23: Monitoring, Assessing, and Reporting Adverse Events 24: Dose Modification and Use of Ancillary Treatments in Investigational Studies in Clinical Trials 25: Assessment of Patient-Reported Outcomes in Industry-Sponsored Clinical Trials 26: Recruitment of Research Participants 27: Barriers to Oncology Clinical Trials 28: The Role of Novel Imaging Techniques in Clinical Trials 29: Practical Issues With Correlative Studies 30: The Development of Companion Diagnostics in Oncology Clinical Trials
IV: Analyzing Results of Oncology Clinical Trials 31: Interim Analysis and Data Monitoring 32: Reporting of Results: Data Analysis and Interpretation 33: Statistical Considerations for Developing and Validating Prognostic Models of Clinical Outcomes 34: Statistical Evaluation of Surrogate Endpoints in Cancer Clinical Trials 35: Development and Validation of Genomic Signatures 36: Competing Risks Analysis in Clinical Trials 37: Systematic Reviews and Meta-Analysis 38: Statistical Methods for Genomics-Driven Clinical Studies 39: Handling Missing Data in Oncology Clinical Trials
V: Special Considerations in Oncology Clinical Trials 40: Health-Related Quality of Life Studies in International Randomized Controlled Oncology Clinical Trials 41: The Economics of Oncology Clinical Trials 42: Special Considerations in Immunotherapy Trials 43: Special Considerations in Radiation Therapy Trials 44: Clinical Trials in Hematologic Malignancies 45: Issues in Recruiting Elderly, Underserved, Minority, and Rural Populations (and Solutions) 46: Telemedicine and Clinical Trials
VI: Cooperative Groups, Regulatory and Governing Bodies
10.1891/9780826168733.0045
Authors
- DeGraffinreid, Cecilia R.
- Oliveri, Jill
- Washington, Chasity
- Tatum, Cathy
- Paskett, Electra D.
Abstract
Clinical trials are often considered the gold standard of care for cancer treatment. The National Cancer Institute reports less than 3% of adult cancer patients participate in clinical trials and participation rates among certain vulnerable populations (elderly, racial and ethnic minority, rural, and low social economic status patients) are even lower. This chapter focuses on understanding the cancer burden in these identified populations and describing barriers to accrual, followed by effective solutions to addressing barriers in these populations. It uses two frameworks to describe clinical trial accrual in vulnerable populations. First, the Accrual to Clinical Trials framework, which posits that the majority of accrual barriers can be categorized as patient, system, and provider factors that influence or impact accrual to clinical trials. The second framework is Multilevel Model of Health Disparities, which states that disparities interact synergistically to promote reduced access and increased risk of developing and dying from disease.