Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey
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 canc...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2022-06-01
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Series: | Cancer Control |
Online Access: | https://doi.org/10.1177/10732748221110897 |
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author | Brenda W. Dyal PhD, DNP, FNP-BC Zulema L. Uscanga MPH, CPH Zinzi Bailey ScD, MSPH Stephanie Schmit PhD, MPH Alina Hoehn BS Jennifer Garcia MA Clement K. Gwede PhD, MPH, RN, FAAN Naomi Brownstein PhD Keesha Powell-Roach PhD, RN Versie Johnson-Mallard PhD, WHNP-BC, FAANP, FAAN Janice L. Krieger PhD Erin Kobetz PhD, MPH Susan Vadaparampil PhD, MPH Folakemi T. Odedina PhD Diana J. Wilkie PhD, RN, FAAN |
author_facet | Brenda W. Dyal PhD, DNP, FNP-BC Zulema L. Uscanga MPH, CPH Zinzi Bailey ScD, MSPH Stephanie Schmit PhD, MPH Alina Hoehn BS Jennifer Garcia MA Clement K. Gwede PhD, MPH, RN, FAAN Naomi Brownstein PhD Keesha Powell-Roach PhD, RN Versie Johnson-Mallard PhD, WHNP-BC, FAANP, FAAN Janice L. Krieger PhD Erin Kobetz PhD, MPH Susan Vadaparampil PhD, MPH Folakemi T. Odedina PhD Diana J. Wilkie PhD, RN, FAAN |
author_sort | Brenda W. Dyal PhD, DNP, FNP-BC |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-13T16:29:49Z |
format | Article |
id | doaj.art-a06f419459c34ad08f8aec575bfd24cf |
institution | Directory Open Access Journal |
issn | 1073-2748 |
language | English |
last_indexed | 2024-04-13T16:29:49Z |
publishDate | 2022-06-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Cancer Control |
spelling | doaj.art-a06f419459c34ad08f8aec575bfd24cf2022-12-22T02:39:37ZengSAGE PublishingCancer Control1073-27482022-06-012910.1177/10732748221110897Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry SurveyBrenda W. Dyal PhD, DNP, FNP-BCZulema L. Uscanga MPH, CPHZinzi Bailey ScD, MSPHStephanie Schmit PhD, MPHAlina Hoehn BSJennifer Garcia MAClement K. Gwede PhD, MPH, RN, FAANNaomi Brownstein PhDKeesha Powell-Roach PhD, RNVersie Johnson-Mallard PhD, WHNP-BC, FAANP, FAANJanice L. Krieger PhDErin Kobetz PhD, MPHSusan Vadaparampil PhD, MPHFolakemi T. Odedina PhDDiana J. Wilkie PhD, RN, FAANPurpose 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.https://doi.org/10.1177/10732748221110897 |
spellingShingle | Brenda W. Dyal PhD, DNP, FNP-BC Zulema L. Uscanga MPH, CPH Zinzi Bailey ScD, MSPH Stephanie Schmit PhD, MPH Alina Hoehn BS Jennifer Garcia MA Clement K. Gwede PhD, MPH, RN, FAAN Naomi Brownstein PhD Keesha Powell-Roach PhD, RN Versie Johnson-Mallard PhD, WHNP-BC, FAANP, FAAN Janice L. Krieger PhD Erin Kobetz PhD, MPH Susan Vadaparampil PhD, MPH Folakemi T. Odedina PhD Diana J. Wilkie PhD, RN, FAAN Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey Cancer Control |
title | Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey |
title_full | Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey |
title_fullStr | Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey |
title_full_unstemmed | Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey |
title_short | Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey |
title_sort | developing the florida academic cancer center alliance health disparities common measure the florida health and ancestry survey |
url | https://doi.org/10.1177/10732748221110897 |
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