Evidence map›Paper›PMID 25721254›Full record

ArticleHealth education research2015

Decisional stage distribution for colorectal cancer screening among diverse, low-income study participants.

C M Hester, W K Born, H W Yeh, K L Young, A S James, C M Daley, K A Greiner

Abstract read
In one paragraph

Article in Health education research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A Network Information-Based Behavior Change Wheel for Populations at High Risk of Developing Gastric Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
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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

7 authors.

C M HesterDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA chester@kumc.edu.
W K BornDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
H W YehDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
K L YoungDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
A S JamesDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
C M DaleyDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
K A GreinerDepartment of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA, University of Kansas Cancer Center, Kansas City, KS 66160, Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA, Department of Epidemiology, Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514, USA, Department of Surgery, Washington University in Saint Louis, Saint Louis, MO 63110, USA and Center for American Indian Community Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Training ProgramU54CA153460 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2010 to 2015
$5.3M
Training ProgramU54CA154253 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GREINER, K ALLEN · 2010 to 2015
$4.6M
Tailored Touchscreen Colorectal Cancer Prevention in Urban Core ClinicsR01CA123245 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GREINER, K ALLEN · 2007 to 2010
$2.2M
NCI NIH HHS R01 CA123245NCI NIH HHS U54-CA153460NCI NIH HHS U54 CA154253NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

Colorectal cancer (CRC) screening uptake among minorities and those with lower incomes is suboptimal. Behavioral interventions specifically tailored to these populations can increase screening rates and save lives. The Precaution Adoption Process Model (PAPM) allows assignment of a decisional stage for adoption of a behavior such as CRC screening. Here, we characterize the PAPM decisional stage distribution among 470 low income, racially and ethnically diverse study participants at intake into a behavioral intervention study designed to increase CRC screening uptake. We staged participants for stool blood test (SBT) and colonoscopy separately and used the highest stage for the two tests as the 'overall' stage for CRC screening. For SBT, sex, language (English versus Spanish) and doctor recommendation were significantly related to PAPM stage for CRC screening. For colonoscopy, language, education level, doctor recommendation and self-efficacy were related to stage. For overall CRC screening stage, all the variables associated with either SBT or colonoscopy, with the exception of language were significant. This study suggests attending to these key variables in designing interventions to promote CRC screening, particularly with respect to medically underserved populations.

Indexed as

Early Detection of CancerMass ScreeningPovertyColorectal NeoplasmsDecision MakingFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and Questionnaires

Identifiers

PMID25721254
PMCPMC4434950

What OpenQuestion holds

Textmetadata
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Registered trials

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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.