Peer Review History

Original SubmissionJanuary 12, 2026
Decision Letter - David Zhu, Editor

-->PONE-D-26-01649-->-->Reliability of Cancer Screening Questions from the National Health Interview Survey-->-->PLOS One

Dear Dr. Kessler,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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Both reviewers noted the strong motivation and clear writing. However, I agree with Reviewer 1 that the low response rate raises concerns about generalizability. I encourage the authors to consider a sensitivity analysis that broadens the analytic sample and/or an additional analysis to assess and address potential nonresponse bias.-->--> -->-->==============================

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“In 2020, the Centers for Disease Control issued a cooperative agreement to the University of Washington (Coop Agreement #5 U48DP006398-02-00) to assess the validity and reliability of the redesigned questions on cervical, colorectal, breast, and lung cancer screening from the 2020-2022 National Health Interview Survey. Henry Ford received funds from ICF International Inc. (Subcontract GS-00F-010CA/HHSN261201700003B/75N91022F00002/TO9) “

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Additional Editor Comments (if provided):

Both reviewers noted the strong motivation and clear writing. However, I agree with Reviewer 1 that the low response rate raises concerns about generalizability. I encourage the authors to consider a sensitivity analysis that broadens the analytic sample and/or an additional analysis to assess and address potential nonresponse bias.

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Reviewers' comments:

Reviewer's Responses to Questions

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1. Is the manuscript technically sound, and do the data support the conclusions?

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Reviewer #1: Partly

Reviewer #2: Yes

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-->2. Has the statistical analysis been performed appropriately and rigorously? -->

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: This manuscript addresses an important and policy-relevant question regarding the test–retest reliability of NHIS cancer screening measures. The study is well-motivated, and the use of multiple agreement statistics, including Cohen’s Kappa and Gwet’s AC1, is appropriate and strengthens the methodological approach. The randomized assignment to 1- versus 3-month follow-up periods is also a notable strength.

However, there are several important limitations that weaken the strength of the conclusions. Most notably, the very low response rate (8.9%) raises substantial concerns about non-response bias and limits the generalizability of the findings. The analytic sample likely overrepresents individuals who are more engaged with healthcare and more likely to accurately report screening behaviors, potentially inflating reliability estimates. Additionally, the exclusion of participants who received screening between surveys may further bias results by restricting the analysis to a more stable subgroup, thereby overstating agreement.

While the manuscript acknowledges some of these limitations, their implications are not fully incorporated into the interpretation of results. The conclusion that reliability is “not a major threat” appears somewhat overstated given the moderate agreement levels observed (e.g., Kappa values in the 0.57–0.62 range for some cancers) and the potential biases in the sample. A more cautious interpretation is warranted.

Further, the manuscript would benefit from additional analyses to strengthen its claims. These include (1) assessing and, if possible, adjusting for non-response bias, (2) conducting sensitivity analyses that include participants with intervening screenings, (3) examining potential survey mode effects (phone vs. web), and (4) providing more detailed discussion of how prevalence imbalance may affect agreement statistics.

Overall, this is a well-conceived study with a solid methodological foundation, but important limitations related to sample representativeness and interpretation need to be addressed. With additional analyses and a more tempered discussion of findings, the manuscript could make a valuable contribution to the literature.

My recommendation is for major revisions because the study is not fatally flawed, but core validity concerns are unresolved, key analyses are missing, and the core conclusions are overstated.

Reviewer #2: Dear authors,

Main goal of tha paper is clear, whole manuscript is up to a point and easy to read, I find the limitations section particularly strong.

Minor suggestions are:

1. check sentence on line 232: “It is possible, then, that our data and conclusions might not reflect would be found by …”

2. check Figure 1, it contains lines on diagram outside the scheme with words (horizontally spaced: reliablelit), which are on top of diagram numbers (Randomized to 3 month)

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Reviewer #1: No

Reviewer #2: No

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Revision 1

We address the comments as follows:

Data availability: You asked, “a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., a Research Ethics Committee or Institutional Review Board, etc.). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.”

Our main analysis dataset is available on request per our data availability statement. We only strip out identifying information as specified in the manuscript. However, we do not make the cognitive data available and now state the following in the manuscript, “Because of the difficulty of deidentifying these cognitive data, we have not made these available.”

Unfortunately, we do not have the funding to place our deidentified dataset in a public repository. Our funding from CDC ended last year and they do not have funds to support such an effort.

Per this comment, we have removed the funding information from the manuscript and now included it in the online submission.

4.Please be informed that funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript.

Also, you asked about the role the funders took in the study. We have done so and included this in our manuscript as follows. We are grateful that you have indicated your willingness to change the online submission form on our behalf.

The funders, staff of the Centers for Disease Control and Prevention and the National Cancer Institute who are also involved in the area of cancer screening surveillance, reviewed our study protocols and had substantive comments on our manuscript. They did not have a role in decisions to publish (though they did encourage us to publish) and they did not have final say in the manuscript, its analysis, or conclusions.

We have included captions per:

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

This did not apply to this manuscript:

6. If the reviewer comments include a recommendation to cite specific previously published works, please review and evaluate these publications to determine whether they are relevant and should be cited. There is no requirement to cite these works unless the editor has indicated otherwise.

We did address this comment about response rates:

Both reviewers noted the strong motivation and clear writing. However, I agree with Reviewer 1 that the low response rate raises concerns about generalizability. I encourage the authors to consider a sensitivity analysis that broadens the analytic sample and/or an additional analysis to assess and address potential nonresponse bias.

Our response can be found in the limitation section:

Likely more important may be our response rates. Whereas NHIS has experienced at least a 50% response rate to its survey requests, our study had only an 8.9% response rate. Our response rates merit careful interpretation. The 8.9% figure cited above refers to recruitment into the initial (validity) survey from health-system membership rolls and is the relevant denominator for evaluating the representativeness of our sample composition. The relevant denominator for evaluating non-response bias in our reliability estimates, however, is the response rate to the randomized follow-up among those who already completed the validity survey: 56.7% at 1 month and 65.0% at 3 months. Thus, our sample may be biased if survey responders differ from non-responders. This potential bias may be further exacerbated by those who agreed to do a second survey, at either 1 or 3 months, where our retention is quite respectable. However, we also note that reliability is a within-person property and is therefore less vulnerable to non-response bias than prevalence or validity would be: differential response would bias reliability only if non-responders were systematically more (or less) consistent in their own self-reports across occasions, a property for which we are unaware of any empirical evidence. It is possible, though, that our data and conclusions might not be generalizable to a more representative population.

Here are the associated reviewer comments that we feel we have addressed above:

However, there are several important limitations that weaken the strength of the conclusions. Most notably, the very low response rate (8.9%) raises substantial concerns about non-response bias and limits the generalizability of the findings. The analytic sample likely overrepresents individuals who are more engaged with healthcare and more likely to accurately report screening behaviors, potentially inflating reliability estimates. Additionally, the exclusion of participants who received screening between surveys may further bias results by restricting the analysis to a more stable subgroup, thereby overstating agreement.

While the manuscript acknowledges some of these limitations, their implications are not fully incorporated into the interpretation of results. The conclusion that reliability is “not a major threat” appears somewhat overstated given the moderate agreement levels observed (e.g., Kappa values in the 0.57–0.62 range for some cancers) and the potential biases in the sample. A more cautious interpretation is warranted.

With respect to the following comment, we have commented on non-response bias, added sensitivity analyses and data on survey mode, and added a comment on prevalence imbalance.

Further, the manuscript would benefit from additional analyses to strengthen its claims. These include (1) assessing and, if possible, adjusting for non-response bias, (2) conducting sensitivity analyses that include participants with intervening screenings, (3) examining potential survey mode effects (phone vs. web), and (4) providing more detailed discussion of how prevalence imbalance may affect agreement statistics.

We have addressed the minor comments from reviewer #2.

Reviewer #2: Dear authors,

Minor suggestions are:

1. check sentence on line 232: “It is possible, then, that our data and conclusions might not reflect would be found by …”

This has been changed to: It is possible, then, that our data and conclusions might not be generalizable to a more representative population

2. check Figure 1, it contains lines on diagram outside the scheme with words (horizontally spaced: reliablelit), which are on top of diagram numbers (Randomized to 3 month)

We have supplied a new TIFF figure that fixes this problem.

Decision Letter - David Zhu, Editor, David Zhu, Editor

Reliability of Cancer Screening Questions from the National Health Interview Survey

PONE-D-26-01649R1

Dear Dr. Kessler,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

David T. Zhu

Academic Editor

PLOS One

Additional Editor Comments (optional):

Reviewers' comments:

Formally Accepted
Acceptance Letter - David Zhu, Editor, David Zhu, Editor

PONE-D-26-01649R1

PLOS One

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