Evidence map›Paper›PMID 38437207›Full record

ArticlePloS one2024

Protocol to measure validity and reliability of colorectal, breast, cervical and lung cancer screening questions from the 2021 National Health Interview Survey: Methodology and design.

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 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 3 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Larry G KesslerDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-8024-5424
Bryan ComstockDepartment of Biostatistics, 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 0000-0001-6287-7391
Jin MouInstitute for Research and Innovation, MultiCare Health System, Tacoma, Washington, United State of America.
Michael G NashDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Perla BravoDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Lynn E FleckensteinKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America.ORCID 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, School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-8119-5107
India J OrnelasDepartment of Health Systems and Population Health, 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.
Chris Neslund-DudasDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan, United States of America.
Punith ShettyDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan, United States of America.
University of Washington · USKaiser Permanente Washington Health Research Institute · USMultiCare Health System · USHenry Ford Hospital · US

Funding

ACL HHS U48DP006398NCCDPHP CDC HHS U48 DP006398
6 · The paper itself

Abstract

Previous studies demonstrate that self-reports of mammography screening for breast cancer and colonoscopy screening for colorectal cancer demonstrate concordance, based on adherence to screening guidelines, with electronic medical records (EMRs) in over 90% of those interviewed, as well as high sensitivity and specificity, and can be used for monitoring our Healthy People goals. However, for screening tests for cervical and lung cancers, and for various sub-populations, concordance between self-report and EMRs has been noticeably lower with poor sensitivity or specificity. This study aims to test the validity and reliability of lung, colorectal, cervical, and breast cancer screening questions from the 2021 and 2022 National Health Interview Survey (NHIS). We present the protocol for a study designed to measure the validity and reliability of the NHIS cancer screening questions compared to EMRs from four US-based healthcare systems. We planned a randomized trial of a phone- vs web-based survey with NHIS questions that were previously revised based on extensive cognitive interviewing. Our planned sample size will be 1576 validity interviews, and 1260 interviews randomly assigned at 1 or 3 months after the initial interview. We are enrolling people eligible for cancer screening based on age, sex, and smoking history per US Preventive Services Task Force recommendations. We will evaluate question validity using concordance, sensitivity, specificity, positive predictive value, negative predictive value, and report-to-records ratio. We further are randomizing participants to complete a second survey 1 vs 3 months later to assess question reliability. We suggest that typical measures of concordance may need to be reconsidered in evaluating cancer screening questions.

Indexed as

Breast NeoplasmsColorectal NeoplasmsLung NeoplasmsEarly Detection of CancerFemaleHumansNeckReproducibility of Results

Identifiers

PMID38437207
PMCPMC10911603
OpenAlexW4392368181

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.