Evidence map›Paper›PMID 28913882›Full record

ArticleAmerican journal of community psychology2017

Reducing Disparities in Cancer Screening and Prevention through Community-Based Participatory Research Partnerships with Local Libraries: A Comprehensive Dynamic Trial.

Bruce D Rapkin, Elisa Weiss, David Lounsbury, Tamara Michel, Alexis Gordon, Jennifer Erb-Downward, Eilleen Sabino-Laughlin, Alison Carpenter, Carolyn E Schwartz, Linda Bulone and 1 more

Abstract read
In one paragraph

Article in American journal of community psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Public Libraries as Key Partners for Advancing Health Equity.American journal of public health · 2021
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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

11 authors.

Bruce D RapkinDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
Elisa WeissDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
David LounsburyDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
Tamara MichelQueens Borough Public Library, Queens, NY, USA.
Alexis GordonDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
Jennifer Erb-DownwardDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
Eilleen Sabino-LaughlinQueens Borough Public Library, Queens, NY, USA.
Alison CarpenterDepartment of Epidemiology and Population Health, Division of Community Collaboration & Implementation Science, Albert Einstein College of Medicine, Bronx, NY, USA.
Carolyn E SchwartzDeltaQuest Foundation, Inc., Concord, MA, USA.
Linda BuloneQueens Cancer Center, Queens, NY, USA.
Margaret KemenyQueens Cancer Center, Queens, NY, USA.

Funding

Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
The Library-Based Health Partnership ProjectR01CA119991 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI RAPKIN, BRUCE D · 2006 to 2010
$2.8M
NCI NIH HHS R01 CA119991NCI NIH HHS UG1 CA189859
6 · The paper itself

Abstract

Reduction of cancer-related disparities requires strategies that link medically underserved communities to preventive care. In this community-based participatory research project, a public library system brought together stakeholders to plan and undertake programs to address cancer screening and risk behavior. This study was implemented over 48 months in 20 large urban neighborhoods, selected to reach diverse communities disconnected from care. In each neighborhood, Cancer Action Councils were organized to conduct a comprehensive dynamic trial, an iterative process of program planning, implementation and evaluation. This process was phased into neighborhoods in random, stepped-wedge sequence. Population-level outcomes included self-reported screening adherence and smoking cessation, based on street intercept interviews. Event-history regressions (n = 9374) demonstrated that adherence outcomes were associated with program implementation, as were mediators such as awareness of screening programs and cancer information seeking. Findings varied by ethnicity, and were strongest among respondents born outside the U.S. or least engaged in care. This intervention impacted health behavior in diverse, underserved and vulnerable neighborhoods. It has been sustained as a routine library system program for several years after conclusion of grant support. In sum, participatory research with the public library system offers a flexible, scalable approach to reduce cancer health disparities.

Indexed as

EthnicityHealthcare DisparitiesHealth Knowledge, Attitudes, PracticeLibrariesPublic FacilitiesCommunity-Based Participatory ResearchEarly Detection of CancerFemaleGuideline AdherenceHealth BehaviorHumansMaleMedically Underserved AreaMiddle AgedNeoplasmsNew York CityCancer screeningCommunity-based participatory researchComprehensive dynamic trialDiversityEvent-history analysisInteractive systems frameworkSustainability

Identifiers

PMID28913882
PMCPMC5658033

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.