Evidence map›Paper›PMID 39257877›Full record

ArticlePreventive medicine reports2024

Awareness of skin cancer screening coverage in U.S. healthcare plans: Is there a need to better educate the public?

Tamara Terzian, Neil Box, Andrew Nicklawsky, Karen Nern, Enrique C Torchia

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  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

5 authors.

Tamara TerzianDepartment of Dermatology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Neil BoxColorado Melanoma Foundation and Department of Epidemiology, School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Andrew NicklawskyDepartment of Pediatrics-Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Karen NernEpiphany Dermatology, Edwards, CO, United States.
Enrique C TorchiaHealth Outcomes & Research, The Sun Bus, LLC, Aurora, CO, United States.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

Objectives: To understand whether financial barriers or the lack of accessibility to dermatology services was a significant motivation for the public to seek free skin cancer screening. Methods: An anonymous and voluntary survey was administered to participants of The Sun Bus free skin cancer screening program in 2023 at U.S. outdoor events in Colorado, Texas, Arizona, New Mexico, Iowa, Wyoming, Missouri, and Montana. 491 respondents answered questions on motivation, healthcare coverage, and demographics. Survey data was analyzed using Qualtrics' crosstab IQ and statistical tests software. Results: Skin screening found suspicious lesions in 45 % of 1300 participants with 18 % of respondents sharing a previous history of skin cancer. Conclusions: This work highlights the significance of promoting public awareness of dermatology services covered by health insurance and the need for continued efforts in skin cancer education and screening programs.

Indexed as

Actinic keratosisBasal cell carcinomaGender-differencesHealthcare coverageMelanomaMobile health clinicsSkin cancerSkin cancer preventionSkin cancer screeningSquamous cell carcinoma

Identifiers

PMID39257877
PMCPMC11384937

What OpenQuestion holds

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LicenceCC BY-NC
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.