Evidence map›Paper›PMID 41755645›Full record

ArticleAmerican journal of epidemiology2026

Measuring the validity of survey questions on breast, cervical, colorectal, and lung cancer screening.

Larry G Kessler, Bryan Comstock, Erin J Aiello Bowles, Jin Mou, Michael G Nash, Perla Bravo, Lynn E Fleckenstein, Chaya Pflugeisen, Hongyuan Gao, Rachel L Winer and 5 more

Abstract readValidation Study
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Larry G KesslerDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8024-5424
Bryan ComstockDepartment of Biostatistics, University of Washington, Seattle, WA, United States.ORCID 0000-0003-2599-1608
Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.
Jin MouInstitute for Research and Innovation, MultiCare Health System, Tacoma, WA, United States.
Michael G NashDepartment of Biostatistics, University of Washington, Seattle, WA, United States.
Perla BravoDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, United States.ORCID 0009-0007-0426-8572
Lynn E FleckensteinKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.
Chaya PflugeisenInstitute for Research and Innovation, MultiCare Health System, Tacoma, WA, United States.
Hongyuan GaoKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.ORCID 0000-0001-9068-2364
Rachel L WinerDepartment of Epidemiology, University of Washington, Seattle, WA, United States.
India J OrnelasDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, United States.
Cynthia SmithInstitute for Research and Innovation, MultiCare Health System, Tacoma, WA, United States.
Christine Neslund-DudasDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, United States.ORCID 0000-0002-2506-1964
Punith ShettyDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, United States.
Uma G RaghavanDepartment of Medicine Information Technology, University of Washington Medical Center, Seattle, WA, United States.

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Self-Testing Options in the era of Primary HPV screening for cervical cancer: the STEP trialR01CA240375 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GREEN, BEVERLY BETH, WINER, RACHEL L. · 2019 to 2023
$3.0M
NCCDPHP CDC HHS U48 DP006398NCI NIH HHS P01 CA154292NCI NIH HHS R01 CA240375
6 · The paper itself

Abstract

The National Health Interview Survey (NHIS) is used to measure progress on cancer screening. We assessed the validity of questions on cervical, colorectal, breast, and lung cancer screening from the 2020, 2021, and 2022 NHIS, using electronic medical records (EMRs) as our standard for accuracy. We surveyed 1770 adults aged 21+ years for breast, cervical, colorectal, and lung cancer from 4 US health systems. We made slight changes in question order and wording to improve the understanding of questions. We compared survey responses for screening adherence with EMR data as a gold standard, calculating sensitivity, specificity, positive predictive value, negative predictive value, Cohen's Kappa, and reports-to-records ratio. Self-reported screening adherence had high sensitivity for most cancer types (range 0.79-0.96). We found good agreement for breast cancer screening using Cohen's Kappa (0.81) and more modest agreement for the other 3 cancer sites (0.59-0.65). The reports-to-records ratio showed overreporting of cancer screening, ranging from 12% to ⁓50% more screening reported for the United States Preventive Services Task Force (USPSTF)-recommended screening periodicity compared to medical record data. NHIS questions that assess cancer screening provide reasonably accurate estimates. However, some misclassification with expected bias toward overreporting of screening suggests that improvements in measuring screening adherence are needed.

Indexed as

Breast NeoplasmsEarly Detection of CancerHealth SurveysLung NeoplasmsAdultAgedColorectal NeoplasmsElectronic Health RecordsFemaleHumansMass ScreeningMiddle AgedReproducibility of ResultsSensitivity and SpecificitySurveys and QuestionnairesUnited Statescancer screeningsurveyvalidity

Identifiers

PMID41755645
PMCPMC13348516

What OpenQuestion holds

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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.