Evidence map›Paper›PMID 42741033›Full record

ArticleFrontiers in public health2026

Public preferences for preventative dental care: a discrete choice experiment in China.

Dan Yang, Xiuxian Li, Bining Chen, Bixia Liu, Zhongcai Huang, Meirong Qin, Weiju Chen, Yonglan Tang, Xiaohong Wu, Jinsu Chen

Abstract read
PubMed Full text at PMC Publisher
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

10 authors.

Dan Yang *School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Xiuxian Li *School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Bining Chen *School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Bixia LiuSchool and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Zhongcai HuangZhongshan Third People's Hospital, Zhongshan, Guangdong, China.
Meirong QinSchool and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Weiju ChenSchool of Nursing, Jinan University, Guangzhou, Guangdong, China.
Yonglan TangSchool and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Xiaohong WuSchool and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Jinsu ChenSchool and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The traditional treatment-oriented model is no longer sufficient to address the growing global burden of oral diseases. Although preventative oral health services effectively reduce the burden of oral diseases, their utilization remains suboptimal. Understanding the public preferences regarding preventative dental care (PDC) is essential to improve service efficiency and optimize preventative care programs. Methods: A discrete choice experiment (DCE) questionnaire was distributed via face-to-face interviews to 277 participants recruited from three stomatology hospitals in South China. Six key attributes of PDC were identified. Mixed logit models were used to estimate the preferences for each attribute, while relative importance scores (RIS) and willingness-to-pay estimates (WTP) were calculated. Latent class analysis (LCA) was used to identify distinct preference patterns. Results: Hospital type, risk of adverse reaction, service effectiveness, cost, attitude of provider, and care provider all significantly influenced respondents' preferences. Hospital type was the most influential attribute. Respondents were willing to pay an additional RMB 1581.90 to upgrade from small private clinics to class A tertiary hospitals. Latent class analysis identified three distinct preference classes. Conclusion: This study explores the PDC preferences of urban Chinese adults from demand-side perspective. Medical institutions should prioritize public preferences when redesigning PDC programs, thereby enhancing the acceptance rate of PDC.

Indexed as

Choice BehaviorDental CarePatient PreferencePreventive DentistryAdultChinaFemaleHumansInterviews as TopicMaleMiddle AgedSurveys and QuestionnairesYoung Adultgeneral populationpreferencepreventative dental carewillingness to paywillingness-to-pay estimates

Identifiers

PMID42741033
PMCPMC13572415

What Socratic holds

Textmetadata
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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 Socratic graph.