AUTHOR=Song Yongtao , Wu Mingzhe , Feng Hailong TITLE=Influencing factors of patients’ behavior of healthcare seeking: a meta-analysis in China JOURNAL=Frontiers in Public Health VOLUME=Volume 13 - 2025 YEAR=2025 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1583075 DOI=10.3389/fpubh.2025.1583075 ISSN=2296-2565 ABSTRACT=ObjectivesUnderstanding 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.MethodsDrawing 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.ResultsA 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 (z = 0.176, p = 0.077), health record (z = 1.942, p = 0.052), and medical expenses (z = 0.1846, p = 0.065). The results of moderating effect analysis indicate that there is a significant difference in the impact of age (p < 0.001), education level (p < 0.05), family income (p < 0.001), medical insurance (p < 0.001), illness severity (p < 0.01), and healthcare service reputation (p < 0.001) on BHS.ConclusionThere 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.