Evidence map›Paper›PMID 39506739›Full record

ArticleBMC health services research2024

Harmonizing data across the accelerating colorectal cancer screening and follow-up through implementation science (ACCSIS) program to enhance data quality and promote data sharing.

Sujha Subramanian, Sarah Kobrin, Sonja Hoover, Sylvia Tan, Alison T Brenner, Janis E Campbell, Jennifer Hatcher, Bin Huang, Madeleine Jones, Erin S Kenzie and 10 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

20 authors.

Sujha SubramanianImplenomics, Dover, Delaware, USA. sujha.subramanian@implenomics.com.
Sarah KobrinNational Cancer Institute, Bethesda, MD, USA.
Sonja HooverImplenomics, Dover, Delaware, USA.
Sylvia TanRTI International, Research Triangle Park, NC, USA.
Alison T BrennerLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Janis E CampbellDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Jennifer HatcherUniversity of Arizona Cancer Center, Tucson, AZ, USA.
Bin HuangUniversity of Kentucky, Lexington, KY, USA.
Madeleine JonesRTI International, Research Triangle Park, NC, USA.
Erin S KenzieOHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.
Helen LamUniversity of Chicago Medicine, Chicago, IL, USA.
David LiebovitzDepartment of Medicine, Northwestern University, Chicago, IL, USA.
Shiraz I MishraComprehensive Cancer Center and Health Sciences Center, University of New Mexico, Albuquerque, NM, USA.
Meghan C O'LearyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kristine N OrtwineHealth Quality Partners, San Diego, CA, USA.
V Shane PankratzComprehensive Cancer Center and Health Sciences Center, University of New Mexico, Albuquerque, NM, USA.
Electra D PaskettCollege of Medicine and Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA.
Michael PennellCollege of Public Health and Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA.
Amanda F PetrikKaiser Permanente Center for Health Research, Portland, OR, USA.
Scott RoeschSan Diego State University, San Diego, CA, USA.

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
CRC-HUB-SPOKE: A ColoRectal Cancer screening Hub for Southern California community health centers.UH3CA233314 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUPTA, SAMIR, HILL, LINDA L · 2020 to 2023
$4.9M
Scaling Colorectal Cancer Screening Through Outreach, Referral, and Engagement (SCORE): A State-Level Program to Reduce Colorectal Cancer Burden in Vulnerable PopulationsUH3CA233251 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI REULAND, DANIEL S. · 2019 to 2023
$4.4M
Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) ProgramU24CA233218 · NCI · RESEARCH TRIANGLE INSTITUTE · PI SUBRAMANIAN, SUJHA · 2018 to 2019
$3.6M
NCI NIH HHS P30 CA177558NCI NIH HHS P30 CA225520NCI NIH HHS U24 CA233218NCI NIH HHS UH3 CA233251NCI NIH HHS UH3 CA233314
6 · The paper itself

Abstract

backgroundThe purpose of the Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) Program, a Cancer Moonshot℠ Initiative, is to support research to build the evidence base on multilevel interventions that increase rates of colorectal cancer screening, follow-up, and referral to care to address disparities in colorectal cancer screening. The National Cancer Institute funded eight Research Projects to implement multilevel interventions to improve colorectal cancer screening among communities who traditionally have been medically underserved. To analyze the impact of ACCSIS across Research Projects, the consortium developed a set of common data elements. The purpose of this paper is to describe the process of developing the common data elements to facilitate analysis of ACCSIS data as well as support and inform implementation science research studies.

methodsThe ACCSIS Data, Design, and Analysis Work Group was tasked with designing common data elements through a review of existing data collection instruments, examination of data elements proposed by the ACCSIS Research Projects, and deliberations on the data required to compare across the Research Projects. ACCSIS Consortium members drafted, revised, and finalized a common data elements document consisting of variables to collect and surveys to administer to evaluate ACCSIS implementation activities and outcomes in a standardized manner across the Research Projects.

resultsThe ACCSIS Consortium decided to collect the following categories of common data elements: characteristics across multiple levels of the multicomponent interventions, implementation climate, and determinants; interventions and strategies; implementation outcome constructs and definitions; colorectal cancer screening episodes (screening, diagnostic testing follow-up, cancer detection, and cancer treatment); and cost measures. To assess implementation climate, the consortium prioritized constructs from five domains of the Consolidated Framework for Implementation Research.

conclusionsThe ACCSIS common data elements offer a set of harmonization data for future implementation efforts. The consortium is conducting a systematic assessment using both quantitative and qualitative approaches to assess data quality and approaches to improve and sustain data collection. Lessons learned from these ongoing activities will offer additional insights to tailor the ACCSIS common data elements and support efforts to increase colorectal cancer screening for populations experiencing disparities.

Indexed as

Colorectal NeoplasmsData AccuracyEarly Detection of CancerImplementation ScienceInformation DisseminationHumansMass ScreeningUnited StatesColorectal cancer screeningCommon data elementsData coordinationHarmonizationMixed methods

Identifiers

PMID39506739
PMCPMC11539253

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.