Evidence map›Paper›PMID 35758601›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Developing the Florida Academic Cancer Center Alliance Health Disparities Common Measure: The Florida Health and Ancestry Survey.

Brenda W Dyal, Zulema L Uscanga, Zinzi Bailey, Stephanie Schmit, Alina Hoehn, Jennifer Garcia, Clement K Gwede, Naomi Brownstein, Keesha Powell-Roach, Versie Johnson-Mallard and 5 more

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Demographic factors and rural residence history associated with smoking history.Journal of the American Association of Nurse Practitioners · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Brenda W DyalCollege of Nursing, Department of Biobehavioral Nursing Science, 3463University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0003-4700-321X
Zulema L UscangaThe Office of Community Outreach, Engagement and Equity, 25301Moffitt Cancer Center, Tampa, FL, USA.
Zinzi BaileyUniversity 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.
Stephanie SchmitCleveland 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.
Alina HoehnDepartment of Cancer Epidemiology, 25301Moffitt Cancer Center, Tampa, FL, USA.
Jennifer GarciaDepartment of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
Clement K GwedeDepartment of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
Naomi BrownsteinDepartment of Biostatistics and Bioinformatics, 25301Moffitt Cancer Center, Tampa, FL, USA.
Keesha Powell-RoachCollege 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.
Versie Johnson-MallardCollege of Nursing, Department of Family, Community and Health System Science, 3463University of Florida, Gainesville, Florida, USA.
Janice L KriegerSTEM Translational Communication Center, 3463University of Florida, Gainesville, FL, USA.
Erin KobetzSylvester 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.
Susan VadaparampilMoffitt Cancer Center, The Office of Community Outreach, Engagement and Equity, Tampa, FL, USA.
Folakemi T OdedinaMoffitt Cancer Center, Department of Health Outcomes & Behaviors, Moffitt Cancer Center, Tampa, FL, USA.
Diana J WilkieCollege of Nursing, Department of Biobehavioral Nursing Science, 3463University of Florida, Gainesville, FL, USA.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
Tissue Modeling & Drug Development Shared Resources CoreU54CA233444 · NCI · UNIVERSITY OF FLORIDA · PI Chanita A. Hughes-Halbert, Tianze Jiao · 2018 to 2026
$12.1M
NCI NIH HHS P30 CA076292NCI NIH HHS U54 CA233444
6 · The paper itself

Abstract

purposeOur 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.

methodsUsing 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.

resultsThis 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%).

conclusionsWe 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.

Indexed as

Community ParticipationNeoplasmsFloridaHumansMaleStakeholder ParticipationSurveys and Questionnairescancer center catchment areascancer controlcancer health disparitiescancer preventioncancer risk behaviorscommon measurecommunity engaged researchfeasibilityhealth equity

Identifiers

PMID35758601
PMCPMC9244925

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.