{"title":"Exploring patients' intentions to switch from hospitals to primary care institutions for primary care: a push-pull-mooring framework.","authors":"Jingrong Zhu, Maoxing Liu, Muyang Zhang, Yi Cui","doi":"10.1071/PY24181","DOIUrl":null,"url":null,"abstract":"<p><p>Background China's tiered healthcare delivery system encourages patients to choose primary care institutions (PCIs) as their first point of contact, but no mandatory gatekeeping role has been imposed. Despite this policy encouragement, patients often prefer higher-level institutions. Existing research has largely focused on factors influencing patient preferences for higher-level care, but there is a gap in understanding the factors that drive patients to switch to primary care provided by general practitioners (GPs). Methods This study applied the push-pull-mooring (PPM) framework to analyze patients' switching intentions from higher-level healthcare institutions to a GP in PCIs for primary care, focusing on dissatisfaction with hospital services (push factors), attractiveness of the GP system (pull factors), and entrenched hospital habits and distrust in GPs (mooring factors). Data from 612 respondents in China were collected to test the proposed hypotheses using partial least squares-structural equation modeling. Results Our results suggest that both push factors, such as dissatisfaction with hospital services, and pull factors, such as the attractiveness of the GP system, positively influence switching intentions. Conversely, mooring factors, including entrenched hospital care habits and distrust in GPs, exert a negative influence on switching behavior. Furthermore, mooring factors moderate the relationship between push-pull factors and switching intentions. Conclusions The findings highlight the importance of addressing push and pull factors while mitigating the impact of mooring factors to promote efficient healthcare utilization. Policy interventions should focus on improving GP system attractiveness and reducing patient distrust in primary care.</p>","PeriodicalId":93892,"journal":{"name":"Australian journal of primary health","volume":"31 ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian journal of primary health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1071/PY24181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background China's tiered healthcare delivery system encourages patients to choose primary care institutions (PCIs) as their first point of contact, but no mandatory gatekeeping role has been imposed. Despite this policy encouragement, patients often prefer higher-level institutions. Existing research has largely focused on factors influencing patient preferences for higher-level care, but there is a gap in understanding the factors that drive patients to switch to primary care provided by general practitioners (GPs). Methods This study applied the push-pull-mooring (PPM) framework to analyze patients' switching intentions from higher-level healthcare institutions to a GP in PCIs for primary care, focusing on dissatisfaction with hospital services (push factors), attractiveness of the GP system (pull factors), and entrenched hospital habits and distrust in GPs (mooring factors). Data from 612 respondents in China were collected to test the proposed hypotheses using partial least squares-structural equation modeling. Results Our results suggest that both push factors, such as dissatisfaction with hospital services, and pull factors, such as the attractiveness of the GP system, positively influence switching intentions. Conversely, mooring factors, including entrenched hospital care habits and distrust in GPs, exert a negative influence on switching behavior. Furthermore, mooring factors moderate the relationship between push-pull factors and switching intentions. Conclusions The findings highlight the importance of addressing push and pull factors while mitigating the impact of mooring factors to promote efficient healthcare utilization. Policy interventions should focus on improving GP system attractiveness and reducing patient distrust in primary care.