scispace - formally typeset
Open AccessJournal ArticleDOI

Factors associated with biomedical research participation within community-based samples across 3 National Cancer Institute-designated cancer centers.

Reads0
Chats0
TLDR
This study examined factors associated with an invitation to participate in biomedical research, intent to participateIn biomedical research in the future, and participation in biomedicalResearch and biospecimen donation among a diverse, multilingual, community‐based sample across 3 distinct geographic areas.
Abstract
Background Engaging diverse populations in biomedical research, including biospecimen donation, remains a national challenge. This study examined factors associated with an invitation to participate in biomedical research, intent to participate in biomedical research in the future, and participation in biomedical research and biospecimen donation among a diverse, multilingual, community-based sample across 3 distinct geographic areas. Methods Three National Cancer Institute-designated cancer centers engaged in community partnerships to develop and implement population health assessments, reaching a convenience sample of 4343 participants spanning their respective catchment areas. Data harmonization, multiple imputation, and multivariable logistic modeling were used. Results African Americans, Hispanic/Latinos, and other racial minority groups were more likely to be offered opportunities to participate in biomedical research compared to whites. Access to care, history of cancer, educational level, survey language, nativity, and rural residence also influenced opportunity, intent, and actual participation in biomedical research. Conclusions Traditionally underserved racial and ethnic groups reported heightened opportunity and interest in participating in biomedical research. Well-established community partnerships and long-standing community engagement around biomedical research led to a diverse sample being reached at each site and may in part explain the current study findings. However, this study illustrates an ongoing need to establish trust and diversify biomedical research participation through innovative and tailored approaches. National Cancer Institute-designated cancer centers have the potential to increase opportunities for diverse participation in biomedical research through community partnerships and engagement. Additional work remains to identify and address system-level and individual-level barriers to participation in both clinical trials and biospecimen donation for research.

read more

Citations
More filters
Journal ArticleDOI

Disparities in Pediatric Oncology: The 21st Century Opportunity to Improve Outcomes for Children and Adolescents With Cancer.

TL;DR: In this paper, the authors proposed a multilevel approach to understand and address health disparities and to ensure access to high-quality cancer care for all children and adolescents with cancer, including racial and ethnic minorities, populations with low socioeconomic status, and residents of underserved areas.
Journal ArticleDOI

Diverse populations and enrollment in pediatric cancer clinical trials: Challenges and opportunities.

TL;DR: It is demonstrated that Hispanics are underrepresented in pediatric cancer research, and cancer outcomes data are primarily based on data from NHWs, providing inadequate information toadequately assess treatment benefits for minorities.
Book ChapterDOI

Project PLACE: Enhancing community and academic partnerships to describe and address health disparities.

TL;DR: This chapter describes the processes and lessons learned of the Duke Cancer Institute's long standing community partnerships that led to Project PLACE (Population Level Approaches to Cancer Elimination), a National Cancer Institute (NCI)-funded community health assessment reaching 2315 respondents in 7 months, resulting in a community partnered research agenda to advance cancer equity within the DCI catchment area.
References
More filters
Book

Statistical Analysis with Missing Data

TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book

Multiple imputation for nonresponse in surveys

TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Journal ArticleDOI

Statistical Analysis With Missing Data

TL;DR: Generalized Estimating Equations is a good introductory book for analyzing continuous and discrete correlated data using GEE methods and provides good guidance for analyzing correlated data in biomedical studies and survey studies.

Multiple Imputation For Nonresponse In Surveys

TL;DR: The multiple imputation for nonresponse in surveys is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can download it instantly.
Related Papers (5)