Evidence map›Paper›PMID 42052012›Full record

ArticleFrontiers in public health2026

Women's preferences for HPV self-sampling in cervical cancer screening: a discrete choice experiment.

Ni Ding, Yunlong Chen, Xueyuan Zhou, Gang Wang, Jiaying Li, Xiaohua Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 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

6 authors.

Ni Ding *Graduate School, Inner Mongolia Medical University, Hohhot, China.
Yunlong Chen *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xueyuan ZhouDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Gang WangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Jiaying LiThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Xiaohua WangDepartment of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: HPV self-sampling can increase cervical cancer screening coverage. To effectively implement this innovative screening method, it is crucial to gain an in-depth understanding of women's acceptance and preferences regarding each stage of the HPV self-sampling intervention process. This study aims to identify the key attributes of HPV self-sampling that drive acceptance among under-screened populations, thereby informing the development of equitable screening strategies that reduce barriers and expand access to cervical cancer prevention. Methods: In this cross-sectional study, we conducted a Discrete Choice Experiment (DCE) between 1 September 2024 and 31 March 2025, assessing preferences for five attributes of HPV self-sampling: accuracy, procedural difficulty, comfort, sampling time, and price. Analyses employed a mixed logit model, adhering to the Discrete Choice Experiment Reporting Checklist (DIRECT) reporting guideline. We estimated relative importance (RI) for each attribute, derived willingness-to-pay (WTP), and examined preference heterogeneity using interaction terms. Results: Of 200 valid responses, accuracy carried the greatest weight (RI 42.55%), followed by price (20.67%), sampling time (13.66%), procedural difficulty (11.68%), and comfort (11.45%). Low accuracy markedly reduced acceptance ( Conclusion: Accuracy, price, and sampling time are the dominant drivers of women's choices for HPV self-sampling, and are simultaneously significantly moderated by individual characteristics such as age, ethnicity, education, and sampling preference. These findings underscore that effective screening programs must not only optimize core product attributes but also develop tailored strategies to address the distinct preferences of different demographic subgroups.

Indexed as

Choice BehaviorEarly Detection of CancerPapillomavirus InfectionsPatient PreferenceSelf CareSpecimen HandlingUterine Cervical NeoplasmsAdultCross-Sectional StudiesFemaleHumansMiddle Agedcervical cancer screeningdiscrete choice experimentHPV self-samplingpreferencespublic health

Identifiers

PMID42052012
PMCPMC13111358

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.