ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026
A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundGeodemographic segmentation (GDS) is a business-based methodology that groups customers into "segments" based on similarities and designs directed marketing campaigns. GDS is an underutilized resource in medicine but holds much potential to encourage patients to follow evidence-based guidelines.
methodsOur strategy highlights the use of informatics, Geographic Information Systems, regression, and GDS methodologies to solve the problem of nonadherence to cancer screening. We examined adherence to colorectal cancer screening by fecal immunochemical test in a cohort (N = 15,944) of average-risk US veterans at a mid-sized healthcare system. Processes included a priori covariate selection, data query, Geographic Information System, GDS, and regression analyses. Specifically, GDS software linked adherence and addresses to GDS database neighborhood "portraits."
resultsMore than half (56%) of all subjects were nonadherent. Hot spot geospatial analysis revealed clusters of low adherence. Using individual-level data and the 23 GDS portraits, regression analysis showed significantly lower adherence in subjects of younger age, Hispanic ethnicity, and/or living in one of seven portraits. GDS provided rich, contextual knowledge about the neighborhoods of our nonadherent patients, including how residents seek out information (e.g., television, social media).
conclusionsThis work demonstrated an approach revealing "who" within our clientele were at risk for nonadherence, "where" these patients live, and "how" adherent screening behavior might be promoted to them. IMPACT: This strategy advocates for GDS resource utilization to motivate adherence in patient subsets in the same way businesses successfully deliver persuasive messages tailored to different segments of their clientele.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.