Evidence map›Paper›PMID 42384630›Full record

ArticlePloS one2026

Reliability of cancer screening questions from the National Health Interview Survey.

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 read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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 School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-8024-5424
Bryan ComstockDepartment of Biostatistics, University of Washington School of Public Health, University of Washington, Seattle, Washington, United States of America.
Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-6287-7391
Jin MouInstitute for Research and Innovation, MultiCare Health System, Tacoma, Washington, United State of America.
Michael G NashDepartment of Biostatistics, University of Washington School of Public Health, University of Washington, Seattle, Washington, United States of America.
Perla BravoDepartment of Health Systems and Population Health, University of Washington School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0007-0426-8572
Lynn E FleckensteinKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0008-9533-7015
Chaya PflugeisenInstitute for Research and Innovation, MultiCare Health System, Tacoma, Washington, United State of America.
Hongyuan GaoKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America.
Rachel L WinerDepartment of Epidemiology, University of Washington School of Public Health, University of Washington, Seattle, Washington, United States of America.
India J OrnelasDepartment of Health Systems and Population Health, University of Washington School of Public Health, University of Washington, Seattle, Washington, United States of America.
Cynthia SmithInstitute for Research and Innovation, MultiCare Health System, Tacoma, Washington, United State of America.
Christine Neslund-DudasDepartment of Public Health Sciences, Henry Ford Health, Detroit, Michigan, United States of America.
Punith ShettyDepartment of Public Health Sciences, Henry Ford Health, Detroit, Michigan, United States of America.
Uma G RaghavanDepartment of Medicine Information Technology, University of Washington Medical Center, Seattle, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Health Interview Survey (NHIS), a nationwide in-person and telephone survey of the civilian non-institutionalized population, is used to measure progress towards Healthy People objectives on cancer screening. Survey reports have been compared to medical record data to assess validity of these questions; however, few studies have assessed reliability, or response consistency over time. We assessed the test-retest reliability of questions on cervical, colorectal, breast and lung cancer screening from the 2021 and 2022 NHIS.

methodsWe surveyed 1,770 adults ages 18 + years with and without prior screening for breast, cervical, colorectal, and lung cancer from four U.S. health systems (three in Washington state and one in Michigan) to examine validity of the NHIS questions. Among people who completed the validity survey, we randomized individuals to receive an additional survey one month later (N = 944) and three months later (N = 822). We calculated Cohen's Kappa, Gwet's AC1, and simple concordance to assess reliability.

resultsAmong our study sample, 535 (56.7% of those assigned) to one month follow-up and 537 (65.0%) assigned to three month follow-up completed the reliability survey. Among these, 36 (6.6%) and 94 (17.6%) of those assigned to one and three month follow-up respectively were excluded from reliability analyses because they had additional screening tests after completing the validity survey. Cohen's Kappa showed strong-to-moderate reliability for being up to date with mammography screening: 0.83 at one month and 0.78 at three months; reliability for other screening tests was considerably lower: 0.61 and 0.60 for cervical, 0.57 and 0.62 for colorectal, and 0.72 and 0.58 for lung and one and three months, respectively.

conclusionsWe found strong-to-moderate reliability of responses recalling breast cancer screening at one and three months following an initial survey. Reliability may not be a major threat to self-reported cancer screening behavior.

Indexed as

Early Detection of CancerHealth SurveysNeoplasmsAdolescentAdultAgedFemaleHumansMaleMass ScreeningMiddle AgedReproducibility of ResultsSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID42384630
PMCPMC13322553

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Registered trials

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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.