SynthesisFrontiers in public health2025
Influencing factors of patients' behavior of healthcare seeking: a meta-analysis in China.
Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Chronic disease comorbidity and its impact on healthcare utilization among older adults in China: a cross-sectional and longitudinal analysis.BMC geriatrics · 2026Article
- Factors associated with Traditional Chinese Medicine use among older adults with chronic diseases in China.Scientific reports · 2026Article
- Factors associated with healthcare seeking behavior from private clinics among patients in Riyadh, Saudi Arabia.BMC health services research · 2026Article
- Healthcare resource accessibility and farmers' health in rural China: a multidimensional perspective.Frontiers in public health · 2026Article
- Prevalence and determinants of unmet healthcare needs in Chinese residents: evidence from the China family panel studies, 2012-2022.Frontiers in public health · 2026Article
- Behavioral Determinants of Hospital Selection in Urological Care: Evidence From China's Hierarchical Healthcare System.Risk management and healthcare policy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Understanding patient's healthcare seeking behavior (BHS) and identifying the determinants influencing BHS can optimize the allocation of medical resources and enhance the efficacy of healthcare systems. The purpose of this study is to identify the influencing factors of patients' BHS and to assess the extent and variation in their impact on BHS. Methods: Drawing upon the Anderson Behavioral Model of Health Service Utilization, we summarized the factors influencing patients' BHS into three categories, and examined empirical journal articles published from 2010 to 2023 using meta-analysis. In addition, the Bayesian analysis of variance was introduced to explore the influence of moderators. Results: A total of 39 empirical journal articles were finally identified for meta-analysis. Ten out of the thirteen factors have a significant and positive influence on BHS, with the exception of trust in medical institutions ( Conclusion: There is a positive and significant influence of the antecedent variables (self-rated health, distance to medical facilities, illness severity, age, family income, education level, marital status, medical insurance, awareness of hierarchical healthcare, health record, and healthcare service reputation) on BHS. Furthermore, the influences of family income, medical insurance, and illness severity on BHS in developed areas are stronger than that in underdeveloped areas, while the influences of age, education level, and healthcare service reputation on BHS in underdeveloped areas are stronger than that in developed areas.
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.