ArticlePatient preference and adherence2026
Factors Influencing Healthcare-Seeking Delay Among Chinese Residents: A Cross-Sectional Study.
Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This cross-sectional study aimed to investigate factors influencing healthcare-seeking delays among Chinese residents using the Andersen Model of Total Patient Delay and the Behavioral Model of Health Services Use. Methods: A self-designed questionnaire was developed by integrating the two theoretical frameworks. A cross-sectional survey was conducted from July to September 2022 among Chinese residents aged 16 years and older. Stratified sampling was employed across three economic development strata, with trained investigators conducting face-to-face interviews using a standardized electronic questionnaire. Descriptive statistics, one-way ANOVA, and multiple linear regression were used to analyze delay patterns and influencing factors. Results: The study included 580 participants, with 312 (53.79%) experienced healthcare-seeking delays. The total delay was 5.63 (± 11.95) days. Age, interpersonal manner, and social networks showed significant positive associations with total delay ( Conclusion: The findings suggest that targeted interventions-including priority care pathways for at-risk groups, public education on appropriate care-seeking, and patient-centered facility design-may help reduce healthcare-seeking delays.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.