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Factors Predicting Participation in the Prospective Genomic Sequencing Study, Total Cancer Care (TCC), in Kentucky.
Riggs, McKayla J; Huang, Bin; Chen, Quan; Bocklage, Therese; Schuh, Marissa R; Poi, Ming; Villano, John L; Cavnar, Michael J; Arnold, Susanne M; Miller, Rachel W; Ueland, Frederick R; Kolesar, Jill M.
Afiliação
  • Riggs MJ; Department of Obstetrics and Gynecology/Division of Gynecologic Oncology, University of Kentucky, Lexington, Kentucky.
  • Huang B; Biostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, Lexington, Kentucky.
  • Chen Q; Biostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, Lexington, Kentucky.
  • Bocklage T; Department of Pathology, University of Kentucky, Lexington, Kentucky.
  • Schuh MR; Precision Medicine Center, Markey Cancer Center, Lexington, Kentucky.
  • Poi M; M2GEN, Tampa, Florida.
  • Villano JL; Department of Hematology & Oncology, Internal Medicine, University of Kentucky, Lexington, Kentucky.
  • Cavnar MJ; Department of Surgery/Division of Surgical Oncology, University of Kentucky, Lexington, Kentucky.
  • Arnold SM; Department of Hematology & Oncology, Internal Medicine, University of Kentucky, Lexington, Kentucky.
  • Miller RW; Department of Obstetrics and Gynecology/Division of Gynecologic Oncology, University of Kentucky, Lexington, Kentucky.
  • Ueland FR; Department of Obstetrics and Gynecology/Division of Gynecologic Oncology, University of Kentucky, Lexington, Kentucky.
  • Kolesar JM; Department of Pharmacy, University of Kentucky, Lexington, Kentucky.
J Rural Health ; 38(1): 5-13, 2022 01.
Article em En | MEDLINE | ID: mdl-32633045
ABSTRACT

PURPOSE:

Large-scale genomic sequencing studies are driving oncology drug development. However, rural populations, like those residing in Appalachian Kentucky, are underrepresented in these efforts. In this study, we determined the frequency of participation, reasons for nonparticipation, and factors predicting the decision to participate in the Total Cancer Care (TCC) prospective genomic cohort study.

METHODS:

A total of 1,188 patients were invited to enroll in the TCC prospective cohort from December 2018 to May 2019. Declining patients were queried for their rationale for nonparticipation and their patient data were obtained from the Kentucky Cancer Registry (KCR). Logistic regression was used to assess the association between characteristics and study participation. The association of study participation with survival was modeled with Cox proportional-hazards regression.

RESULTS:

90.9% (1,081) patients consented to participate. In multivariate analysis, factors significantly associated with participation were age, gender, treatment status, and race. Though overall more women participated in the study, men were more likely to participate than women when invited (OR 1.57). Younger, Caucasian individuals who had received chemotherapy, but not surgery, were also more likely to participate. Patients in the Kentucky Appalachian cohort were primarily rural, had less educational attainment, and lower socioeconomic status. Kentucky Appalachian patients were no less likely to enroll in TCC than non-Appalachian patients. Consented individuals had higher overall survival compared to those who declined.

CONCLUSION:

Though minorities, those with low socioeconomic status, and rural populations are underrepresented in genomic studies, they were no less likely to participate when given the opportunity, and participation was associated with better clinical outcomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article