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Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey.
Dyal, Brenda W; Uscanga, Zulema L; Bailey, Zinzi; Schmit, Stephanie; Hoehn, Alina; Garcia, Jennifer; Gwede, Clement K; Brownstein, Naomi; Powell-Roach, Keesha; Johnson-Mallard, Versie; Krieger, Janice L; Kobetz, Erin; Vadaparampil, Susan; Odedina, Folakemi T; Wilkie, Diana J.
Afiliação
  • Dyal BW; College of Nursing, Department of Biobehavioral Nursing Science, 3463University of Florida, Gainesville, FL, USA.
  • Uscanga ZL; The Office of Community Outreach, Engagement and Equity, 25301Moffitt Cancer Center, Tampa, FL, USA.
  • Bailey Z; University of Miami Miller School of Medicine, Miami, FL, and Division of Medical Oncology, Department of Medicine, University of Miami Miller School of Medicine, 33315Sylvester Comprehensive Cancer Center, Miami, FL, USA.
  • Schmit S; Cleveland Clinic, Genomic Medicine Institute, Cleveland, OH, US and (2) Population and Cancer Prevention Program, Case Comprehensive Cancer Center, 196246Cleveland Clinic, Genomic Medicine Institute, Cleveland, OH, USA.
  • Hoehn A; Department of Cancer Epidemiology, 25301Moffitt Cancer Center, Tampa, FL, USA.
  • Garcia J; Department of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
  • Gwede CK; Department of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
  • Brownstein N; Department of Biostatistics and Bioinformatics, 25301Moffitt Cancer Center, Tampa, FL, USA.
  • Powell-Roach K; College of Nursing, Department of Biobehavioral Nursing Science, Gainesville, FL, USA and University of Tennessee Health Science Center, Department of Health Promotion and Disease Prevention, 3463University of Florida, Memphis, TN, USA.
  • Johnson-Mallard V; College of Nursing, Department of Family, Community and Health System Science, 3463University of Florida, Gainesville, Florida, USA.
  • Krieger JL; STEM Translational Communication Center, 3463University of Florida, Gainesville, FL, USA.
  • Kobetz E; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, and Division of Medical Oncology, Department of Medicine, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
  • Vadaparampil S; Moffitt Cancer Center, The Office of Community Outreach, Engagement and Equity, Tampa, FL, USA.
  • Odedina FT; Moffitt Cancer Center, Department of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
  • Wilkie DJ; Moffitt Cancer Center, Department of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
Cancer Control ; 29: 10732748221110897, 2022.
Article em En | MEDLINE | ID: mdl-35758601
ABSTRACT

PURPOSE:

Our specific aim was to develop and assess the consensus-based validity of common measures for understanding health behaviors and ancestry in Florida's population subgroups and establish the feasibility of wide-scale implementation of the measures and biospecimen collection within three cancer centers' catchment areas.

METHODS:

Using the National Cancer Institute's Grid-Enabled Measures web-based platform and an iterative process, we developed the Florida Health and Ancestry Survey (FHAS). We then used three sampling approaches to implement the FHAS community-engaged, panel respondent, and random digit dialing (RDD). We asked a subset of participants to provide a saliva sample for future validation of subjective ancestry report with DNA-derived ancestry markers.

RESULTS:

This process supported the FHAS content validity. As an indicator of feasibility, the goals for completed surveys by sampling approach were met for two of the three cancer centers, yielding a total of 1438 completed surveys. The RDD approach produced the most representative sample. The panel sampling approach produced inadequate representation of older individuals and males. The community-engaged approach along with social media recruitment produced extreme underrepresentation only for males. Two of the cancer centers mailed biospecimen kits, whereas one did not due to resource constraints. On average, the community engaged approach was more productive in obtaining returned biospecimen samples (80%) than the panel approach (48%).

CONCLUSIONS:

We successfully developed and implemented the FHAS as a common measure to show its feasibility for understanding cancer health disparities in Florida. We identified sampling approach successes and challenges to obtaining biospecimens for ancestry research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Participação da Comunidade / Neoplasias Limite: Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Participação da Comunidade / Neoplasias Limite: Humans / Male País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article