Cited by 110Health Literacy and Information AccessibilityGlobal Cancer Incidence and ScreeningPatient-Provider Communication in Healthcare

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index; none of the 46 sources its claims cite is checked for support yet.

Sociodemographic determinants of cancer treatment health literacy

Open access

Abstract

BACKGROUND: Ethnic and racial disparities in cancer outcomes are often attributed to sociodemographic factors, including income, education, insurance status, and access to quality cancer care. Less attention has been directed toward other possible contributors, such as misconceptions about cancer and its treatment. METHODS: Nine hundred fifty‐seven U.S. adults who reported that they had never been diagnosed with cancer were identified and surveyed using a random digit dialing telephone survey. Sociodemographic associations with endorsement of five misconceptions about cancer treatment were evaluated by weighted logistic regression. RESULTS: The most prevalent misconception, “Treating cancer with surgery can cause it to spread throughout the body,” was endorsed as true by 41% of the respondents. The second most prevalent misconception, “The medical industry is withholding a cure for cancer from the public in order to increase profits, ” was identified as true by 27%. The statement, “Pain medications are ineffective against cancer pain, ” was accurately rejected by 68% of the respondents, and 89% of the respondents correctly disagreed with the statement, “All you need to beat cancer is a positive attitude, not treatment. ” Eighty‐seven percent of the respondents were able to identify the statement, “Cancer is something that cannot be effectively treated,” as false. Respondents who were older, nonwhite, Southern, or indicated being less informed about cancer endorsed the most misconceptions. CONCLUSIONS: The prevalence of at least three of the five cancer misconceptions was unacceptably high, and varied by several sociodemographic factors. These beliefs may increase the risk for cancer morbidity and mortality because of poor adherence to treatment regimens. Cancer 2005. © 2005 American Cancer Society.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

A national random-digit-dial telephone survey of 957 U.S. adults without a cancer history found that misconceptions about cancer treatment were common, especially that surgery can cause cancer to spread and that the medical industry withholds a cure. Older, nonwhite, Southern, and less self-rated informed respondents endorsed more misconceptions.

Key findings

  • The most prevalent misconception was “Treating cancer with surgery can cause it to spread throughout the body”: 40.8% said true, 12.9% did not know, and only 46.3% correctly said not true.
  • “There is currently a cure for cancer but the medical industry won’t tell the public because they make too much money treating cancer patients” was endorsed as true by 27.3%, with 14.3% unsure and 58.5% correctly rejecting it.
  • For the other statements: “Pain medications are not effective…” was true for 19.0%, unsure for 13.2%, and correctly rejected by 67.8%; “All you need to beat cancer is a positive attitude, not treatment” was true for 6.6%, unsure for 4.5%, and correctly rejected by 89.0%; “Cancer is something that cannot be effectively treated” was true for 7.0%, unsure for 5.7%, and correctly rejected by 87.3%.
  • The mean combined misconception score was 1.3 overall; higher education and income were associated with more accurate responses, whereas respondents who were nonwhite, aged ≥65 years, Southern residents, and those reporting being not very or not at all informed about cancer had the highest misconception scores.

Methods

  • A random digit dialing telephone survey was conducted November 4–17, 2002 by the American Cancer Society, Prevention magazine, and the Discovery Health channel; of 1002 completers, 45 with a prior cancer diagnosis were removed, leaving 957 U.S. adults with no cancer history.
  • The survey assessed five cancer treatment misconception statements with response categories True, False, or Don’t Know; the sample was weighted to national parameters for gender, age, education, race, Hispanic origin, and U.S. census region.
  • Weighted logistic regression evaluated associations between each misconception and sociodemographic characteristics, and univariate and multivariate linear regressions assessed a combined misconception score ranging from 0 to 5; all confidence intervals and P values were adjusted by a design effect of 1.10.

Limitations

  • The paper states that the cross-sectional design and self-reporting of data are potential limitations.
  • The text makes evident that the overall response rate was 35%, based on a 75% contact rate, 50% cooperation rate, and 94% survey completion rate, and that the survey was limited to continental U.S. telephone households.
  • The analyses rely on self-rated cancer knowledge and cannot establish causality between sociodemographic factors and misconceptions.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1002/cncr.21194

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 46 cited sources checked · 0 supported · 0 flagged

Show all 62 claims

  • The quote only partly states this claim. 1
  • It may state two separate claims as one. 17
  • Probably not a substantial claim. 33
41 of 41
  • The paper relies on this without support.

    Both True and Don't Know responses indicate low health literacy.

    “In addition, because both True and Don't Know responses indicate low health literacy, we combined these responses for logistic regression analyses.”
  • The paper relies on this without support.

    Misconceptions about cancer treatment lead to poor adherence to treatment regimens, which increases cancer morbidity and mortality.

    “These beliefs may increase the risk for cancer morbidity and mortality because of poor adherence to treatment regimens.”
  • The paper relies on this without support.

    Less attention has been directed toward misconceptions about cancer and its treatment as possible contributors to cancer disparities.

    “Less attention has been directed toward other possible contributors, such as misconceptions about cancer and its treatment.”
  • The paper relies on this without support.

    Cancer awareness is increasing because of the abundance of information available from media, health professionals, and personal support systems.

    “Because of the abundance of information available from media, health professionals, and personal support systems, cancer awareness is increasing.”
  • The paper relies on this without support.

    The accuracy of information about cancer varies widely from source to source.

    “However, the accuracy of the information about cancer varies widely from source to source”
  • The paper relies on this without support.

    Even correct information can lead to faulty impressions due to misunderstandings in delivery.

    “even if the information given is correct, misunderstandings in the delivery may lead to faulty impressions.”
  • The paper relies on this without support.

    Investigators would not remain silent about a secret cure because publishing research results is in their personal self-interest.

    “even though prompt publication of research results is clearly in the personal self-interest of investigators.”
  • The paper relies on this without support.

    Progress in clinical oncology has been somewhat slower than breakthroughs in preventing and treating infectious diseases.

    “Progress in clinical oncology has been somewhat slower, in comparison to the breakthroughs during the past century in preventing and treating infectious diseases.”
8 of 8

Citations

Cites

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Show all 44 references

Research works printed but not linked: 3

  1. Raber MN, 2003, Cancer medicine, 1187
  2. Berek JS, 2003, Cancer medicine, 1831
  3. Hanna N, 2003, Cancer medicine, 1747

Cited by

Sorted by citations

Items 101–110 of 110

Metadata

Authors
Gansler, T., Henley, S. J., Stein, K., Nehl, E. J., Smigal, C., & Slaughter, E.
Affiliations
  • American Cancer Society (US)
  • Indiana University Bloomington (US)
Corresponding author
Gansler, Ted
Venue
Cancer
Publisher
Wiley
Published
2005-06-27
Volume
104
Issue
3
Pages
653-660
ISSN
  • 0008-543X (ISSN-L)
  • 1097-0142
OpenAlex
W2035937250
Cited by
110
References
44
Citations by year
2026: 2 · 2025: 7 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 6 · 2018: 5 · 2016: 3 · 2015: 7 · 2014: 6 · 2013: 5 · 2012: 10
FWCI
14.47
Type
journal article
Language
en
Open access
Locations
  • Cancer (publishedVersion)
  • PubMed (publishedVersion)
Funders
American Cancer Society
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
Keywords
cancer misconceptions, sociodemographic disparities, racial and ethnic disparities, cancer pain, medication adherence, cancer prevention knowledge
MeSH terms
Adult, Aged, Attitude to Health, Data Collection, Educational Status, Female, Hispanic or Latino, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Neoplasms, Surveys and Questionnaires, Black People, White People

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

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